Research
Publications

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2024 
Rapid calculation of computer-generated holograms for line-drawn 3D objects with varying thicknesses

Nishitsuji, T , Blinder, D , Shimobaba, T, Kakue, T , Schelkens, P & Ito, T 2024, ' Rapid calculation of computer-generated holograms for line-drawn 3D objects with varying thicknesses ', Optics and Lasers in Engineering , vol. 181, 108359.

Improving image quality of a phase-added stereogram using deep learning

Baba, M , Blinder, D , Wang, F , Birnbaum, T , Schelkens, P , Ito, T & Shimobaba, T 2024, ' Improving image quality of a phase-added stereogram using deep learning ', Applied Optics , vol. 63, no. 28, pp. G1-G8.

The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data

Boulogne, LH, Lorenz, J, Kienzle, D, Schon, R, Ludwig, K, Lienhart, R, Jegou, S, Li, G, Chen, C, Wang, Q, Shi, D, Maniparambil, M, Muller, D, Mertes, S, Schroter, N, Hellmann, F, Elia, M , Dirks, I , Bossa, MN , Berenguer, AD , Mukherjee, T , Vandemeulebroucke, J , Sahli, H , Deligiannis, N , Gonidakis, P , Huynh, ND, Razzak, I, Bouadjenek, R, Verdicchio, M, Borrelli, P, Aiello, M, Meakin, JA, Lemm, A, Russ, C, Ionasec, R, Paragios, N, Ginneken, BV & Dubois, M-PR 2024, ' The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data ', Medical Image Analysis , vol. 97, 103230.

A shared robot control system combining augmented reality and motor imagery brain-computer interfaces with eye tracking

Dillen, A , Omidi, M , Ghaffari, F , Vanderborght, B , Roelands, B , Romain, O , Nowé, A & De Pauw, K 2024, ' A shared robot control system combining augmented reality and motor imagery brain-computer interfaces with eye tracking ', Journal of Neural Engineering .

Overview of Embedded Rust Operating Systems and Frameworks

Vandervelden, T , De Smet, R , Deac, D , Steenhaut, K & Braeken, A 2024, ' Overview of Embedded Rust Operating Systems and Frameworks ', Sensors , vol. 24, no. 17, 5818.

Acceleration of Fast Sample Entropy for FPGAs

Chen, C , Liu, C, Li, J & da Silva, B 2024, ' Acceleration of Fast Sample Entropy for FPGAs ', IEEE Transactions on Computers , pp. 1-14.

Diffraction calculations from real-to-complex, complex-to-real, and real-to-real fields

Shimobaba, T , Blinder, D , Tahara, T, Wang, F, Nishitsuji, T, Shiraki, A, Cheng, C-J & Ito, T 2024, ' Diffraction calculations from real-to-complex, complex-to-real, and real-to-real fields ', Displays , vol. 84, 102766.

Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning

Reymond, M , Hayes, CF, Willem, L , Radulescu, R , Abrams , S , Roijers, DM , Howley, E, Mannion, P, Hens, N , Nowe, A & Libin, P 2024, ' Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning ', Expert Systems with Applications , vol. 249, no. Part C, 2024, 123686, 123686.

INTERFERE, short-time Fourier-transform-based compression of complex-valued holograms with bit depth and range-adaptive quantization

Kizhakkumkara Muhamad, R , Birnbaum, T , Blinder, D & Schelkens, P 2024, ' INTERFERE, short-time Fourier-transform-based compression of complex-valued holograms with bit depth and range-adaptive quantization ', Applied Optics , vol. 63, no. 25, pp. 6740-6753.

FPGA-Based Sparse Matrix Multiplication Accelerators: From State-of-the-art to Future Opportunities

Liu, Y, Chen, R, Li, S, Yang, J, Li, S & da Silva, B 2024, ' FPGA-Based Sparse Matrix Multiplication Accelerators: From State-of-the-art to Future Opportunities ', ACM Transactions on Reconfigurable Technology and Systems , vol. 17, no. 3, 1, pp. 1-36.

An Introduction to Ventra: A Programmable Abdominal Phantom for Training, Educational, Research, and Development Purposes

Tayebi, S , Wise, RD , Zarghami, A , Dabrowski, W, Malbrain, M & Stiens, J 2024, ' An Introduction to Ventra: A Programmable Abdominal Phantom for Training, Educational, Research, and Development Purposes ', Sensors (Basel, Switzerland) , vol. 24, no. 16, 5431.

Correlation-Assisted Pixel Array for Direct Time of Flight

Morsy, A & Kuijk, M 2024, ' Correlation-Assisted Pixel Array for Direct Time of Flight ', Sensors , vol. 24, no. 16, 5380.

Activating Formal Verification of Deep Reinforcement Learning Policies by Model Checking Bisimilar Latent Space Models

Delgrange, F 2024, ' Activating Formal Verification of Deep Reinforcement Learning Policies by Model Checking Bisimilar Latent Space Models ', Doctor of Sciences, Vrije Universiteit Brussel, Vrije Universiteit Brussel.

User Evaluation of a Shared Robot Control System Combining BCI and Eye Tracking in a Portable Augmented Reality User Interface

Dillen, A , Omidi, M , Ghaffari, F, Romain, O , Vanderborght, B , Roelands, B , Nowé, A & Pauw, KD 2024, ' User Evaluation of a Shared Robot Control System Combining BCI and Eye Tracking in a Portable Augmented Reality User Interface ', Sensors , vol. 24, no. 16, 5253.

A Taxonomy of Low-Power Techniques in Wearable Medical Devices for Healthcare Applications

Gudisa, WT , Hora, WJ , Khan, MI , Stiens, J & da Silva, B 2024, ' A Taxonomy of Low-Power Techniques in Wearable Medical Devices for Healthcare Applications ', Electronics , vol. 13, no. 15, 3097, pp. 1-26.

Modality redundancy for MRI-based glioblastoma segmentation

Sutter, SD , Wuts, J , Geens, W , Vanbinst, A-M , Duerinck, J & Vandemeulebroucke, J 2024, ' Modality redundancy for MRI-based glioblastoma segmentation ', International journal of computer assisted radiology and surgery .

Observation of Gravitational Waves from the Coalescence of a $2.5 ext{-}4.5~M_odot$ Compact Object and a Neutron Star

LIGO Scientific Collaboration , Sevrin, A , Romero-Rodríguez, A , Turbang, K & Duval, H 2024, ' Observation of Gravitational Waves from the Coalescence of a $2.5 ext{-}4.5~M_odot$ Compact Object and a Neutron Star ', The Astrophysical Journal Letters , vol. 970, no. 2, L34.

Trustworthy Environmental Monitoring Using Hardware-Assisted Security Mechanisms

Segers, L , Talebi, B , da Silva, B , Touhafi, A & Braeken, A 2024, ' Trustworthy Environmental Monitoring Using Hardware-Assisted Security Mechanisms ', Sensors , vol. 24, no. 14, 4720.

The Impact of Contact Force on Signal Quality Indices in Photoplethysmography Measurements

Lambert Cause, J , Sole Morillo, A , Garcia-Naranjo, JC , Stiens, J & da Silva, B 2024, ' The Impact of Contact Force on Signal Quality Indices in Photoplethysmography Measurements ', Applied Sciences (MDPI) , vol. 14, no. 13, 5704, pp. 1-18.

Asymmetric point-spread functions for slanted wavefront recording planes

Wang, F , Blinder, D , Ito, T & Shimobaba, T 2024, Asymmetric point-spread functions for slanted wavefront recording planes . in P Schelkens & T Kozacki (eds), Optics, Photonics, and Digital Technologies for Imaging Applications VIII. vol. 12998, Proceedings of SPIE - The International Society for Optical Engineering, vol. 12998, pp. 99-102, SPIE Photonics Europe 2024, Strasbourg, France, 7/04/24 .

Generative AI unlocks PET insights: brain amyloid dynamics and quantification

Bossa, MN , Nakshathri, AG , Berenguer, AD & Sahli, H 2024, ' Generative AI unlocks PET insights: brain amyloid dynamics and quantification ', Frontiers in Aging Neuroscience , vol. 16, pp. 1-13.

Realizing executable programs from an abstract of the policy

Deproost, S & Nowe, A 2024, ' Realizing executable programs from an abstract of the policy ', Belgium-Netherlands Workshop on Reinforcement Learning 2024, Amsterdam, Netherlands, 10/06/24 .

64 × 64-Pixel Current-Assisted Photonic Sampler Image Sensor and Camera System for Real-time Fluorescence Lifetime Imaging

Van Den Dries, T , Lapauw, T , Janssen, S , Sahakian, S , Lepoutte, T , Stroet, M , Hernot, S , Kuijk, M & Ingelberts, H 2024, ' 64 × 64-Pixel Current-Assisted Photonic Sampler Image Sensor and Camera System for Real-time Fluorescence Lifetime Imaging ', IEEE Sensors Journal , vol. 24, no. 15, pp. 23729-23737.

Embodied greenhouse gas emissions of buildings—Machine learning approach for early stage prediction

Fenton, SK , Munteanu, A , De Rycke, K & De Laet, L 2024, ' Embodied greenhouse gas emissions of buildings—Machine learning approach for early stage prediction ', Building and Environment , vol. 257, 111523.

Long-term Regional Influenza-like-illness Forecasting Using Exogenous Data

Papagiannopoulou, E , Bossa, M , Deligiannis, N & Sahli, H 2024, ' Long-term Regional Influenza-like-illness Forecasting Using Exogenous Data ', IEEE Journal of Biomedical and Health Informatics , vol. 28, no. 6, pp. 3781-3792.

Radar-Network-Based Odometry and Elevation Estimation

Trombetta, F , Albaba, A , Bauduin, M , Sahli, H & Bourdoux, A 2024, Radar-Network-Based Odometry and Elevation Estimation . in 2024 IEEE Radar Conference (RadarConf24). IEEE, USA, pp. 1-6, 2024 IEEE Radar Conference, DENVER, Colorado, United States, 6/05/24 .

Power prediction using high-resolution SCADA data with a farm-wide deep neural network approach

Daenens, S , Vervlimmeren, I , Verstraeten, T , Daems, P-J , Nowe, A & Helsen, J 2024, ' Power prediction using high-resolution SCADA data with a farm-wide deep neural network approach ', Journal of Physics: Conference Series , vol. 2767, no. 9, 092014.

Assessing two IMU-based gait event detection methods and their effect on spatiotemporal gait parameters across young and elderly populations.

Brahimetaj, R , Zaccardi, S , Bautmans, I & Jansen, B 2024, ' Assessing two IMU-based gait event detection methods and their effect on spatiotemporal gait parameters across young and elderly populations. ', ESMAC 2024, Oslo, Norway, 9/09/24 - 14/09/24 .

Stimulus-related modulation in the 1/f spectral slope suggests an impaired inhibition during a working memory task in people with multiple sclerosis

Akbarian, F , Rossi, C , Costers, L , D'Hooghe, MB , D'Haeseleer, M , Nagels, G & Van Schependom, J 2024, ' Stimulus-related modulation in the 1/f spectral slope suggests an impaired inhibition during a working memory task in people with multiple sclerosis ', Multiple Sclerosis Journal .

Optimistic Reinforcement Learning-Based Skill Insertions for Task and Motion Planning

Liu, G , De Winter, J , Durodié, Y , Steckelmacher, D , Nowe, A & Vanderborght, B 2024, ' Optimistic Reinforcement Learning-Based Skill Insertions for Task and Motion Planning ', IEEE Robotics and Automation Letters , vol. 9, no. 6, pp. 5974-5981.

The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models

Avalos, R , Delgrange, F , Nowé, A , Pérez, GA & Roijers, DM 2024, The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models . in The Twelfth International Conference on Learning Representations: ICLR 2024. OpenReview.net, The Twelfth International Conference on Learning Representations, Vienna, Austria, 7/05/24 .

Semi-supervised medical image classification via distance correlation minimization and graph attention regularization

Diaz Berenguer, A , Kvasnytsia, M , Bossa Bossa, MN , Mukherjee, T , Deligiannis, N & Sahli, H 2024, ' Semi-supervised medical image classification via distance correlation minimization and graph attention regularization ', Medical Image Analysis , vol. 94, 103107, pp. 1-16.

Causality-driven multivariate stock movement forecasting

Diaz Berenguer, A , Da, Y , Bossa Bossa, MN , Oveneke, MC & Sahli, H 2024, ' Causality-driven multivariate stock movement forecasting ', PLOS ONE , vol. 19, no. 4, e0302197, pp. 1-41.

DeepKalPose: An enhanced deep-learning Kalman filter for temporally consistent monocular vehicle pose estimation

Di Bella, L , Yangxintong, L & Munteanu, A 2024, ' DeepKalPose: An enhanced deep-learning Kalman filter for temporally consistent monocular vehicle pose estimation ', Electronics Letters , vol. 60, no. 8, e13191, pp. 1-4.

Evaluating Vascular Depth-Dependent Changes in Multi-Wavelength PPG Signals Due to Contact Force

Lambert Cause, J , Sole Morillo, A , da Silva, B , Garcia-Naranjo, JC & Stiens, J 2024, ' Evaluating Vascular Depth-Dependent Changes in Multi-Wavelength PPG Signals Due to Contact Force ', Sensors (Basel, Switzerland) , vol. 24, no. 9, 2692.

Are circulating inflammatory markers in older adults influenced by physical interventions? An umbrella review

Mathot, E , Hemadeh, A, Lema-Arranz, C , Knoop, V , Islamaj, E , Bautmans, I , Lorenzo-López, L, Valdiglesias, V & Laffon, B 2024, ' Are circulating inflammatory markers in older adults influenced by physical interventions? An umbrella review ', The European Group for Research on Aging and Physical Activity 2024 Conference, Kaunas, Lithuania, 18/04/24 - 19/04/24 .

Dynamic multi-hypergraph structure learning for disease diagnosis on multimodal data

Bollengier, M , Diaz Berenguer, A & Sahli, H 2024, Dynamic multi-hypergraph structure learning for disease diagnosis on multimodal data . in 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 15/07/24 .

Review article: Interdisciplinary perspectives on climate sciences-highlighting past and current scientific achievements

Galfi, VM, Alberti, T , De Cruz, L , Franzke, CLE & Lembo, V 2024, ' Review article: Interdisciplinary perspectives on climate sciences-highlighting past and current scientific achievements ', Nonlinear Processes in Geophysics , vol. 31, no. 2, pp. 185-193.

An interpretable deep learning approach for lesion detection and segmentation on whole-body [18F]FDG PET/CT

Dirks, I , Keyaerts, M , Neyns, B & Vandemeulebroucke, J 2024, An interpretable deep learning approach for lesion detection and segmentation on whole-body [18F]FDG PET/CT . in Proc. SPIE 12926, Medical Imaging 2024: Image Processing. vol. 12926, 1292617, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 12926, SPIE, SPIE Medical Imaging 2024, 18/02/24 .

Prioritization of oligogenic variant combinations in whole exomes

Gravel, B , Renaux, A , Papadimitriou, S , Smits, G , Nowé, A & Lenaerts, T 2024, ' Prioritization of oligogenic variant combinations in whole exomes ', Bioinformatics , vol. 40, no. 4, btae184.

UWB-Ego-Motion Particle Filter for Indoor Pose Estimation of a Ground Robot Using a Moving Horizon Hypothesis

Durodié, Y , Decoster, T , Van Herbrugge, B, Vanhie-Van Gerwen, J, De Poorter, E , Munteanu, A & Vanderborght, B 2024, ' UWB-Ego-Motion Particle Filter for Indoor Pose Estimation of a Ground Robot Using a Moving Horizon Hypothesis ', Sensors , vol. 24, no. 7, Sensors 2024, 24, 2164 . <

Deep Unfolding Transformers for Sparse Recovery of Video

De Weerdt, B , Eldar, YC & Deligiannis, N 2024, ' Deep Unfolding Transformers for Sparse Recovery of Video ', IEEE Transactions on Signal Processing , vol. 72, pp. 1782-1796.

Resolution impact on breast cancer diagnosis: individual micro-CT microcalcifications in focus: Resolution impact on breast cancer diagnosis: individual micro-CT microcalcifications in focus

Brahimetaj, R , Cornelis, JPH , Van Ongeval, C , De Mey, J & Jansen, B 2024, ' Resolution impact on breast cancer diagnosis: individual micro-CT microcalcifications in focus: Resolution impact on breast cancer diagnosis: individual micro-CT microcalcifications in focus ', 14th European Breast Cancer Conference (EBCC-14), Milan, Italy, 20/03/24 - 22/03/24 pp. 1.

Learned layered coding for Successive Refinement in the Wyner-Ziv Problem

Joukovsky, B , De Weerdt, B & Deligiannis, N 2024, Learned layered coding for Successive Refinement in the Wyner-Ziv Problem . in 2024 IEEE International Conference on Acoustics, Speech and Signal Processing. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, IEEE, pp. 6020-6024, 2024 IEEE International Conference on Acoustics, Speech and Signal Processing, Seoul, Korea, Democratic People's Republic of, 14/04/24 .

Scanning Defocussing Particle Tracking for the Experimental Characterization of Flows in Demanding Microfluidic Systems

Galand, Q , Blinder, D , Gelin, P , Maes, D & De Malsche, W 2024, ' Scanning Defocussing Particle Tracking for the Experimental Characterization of Flows in Demanding Microfluidic Systems ', Applied Optics , vol. 63, no. 10, pp. 2636-2642.

MetObs - a Python toolkit for using non-traditional meteorological observations

Vergauwen, T, Vieijra, M , Covaci, A , Jacobs, A, Top, S, Dewettinck, W, Vandelanotte, K, Hellebosch, I & Caluwaerts, S 2024, ' MetObs - a Python toolkit for using non-traditional meteorological observations ', Journal of Open Source Software , vol. 9, no. 95, 5916.

Joint prototype and coefficient prediction for 3D instance segmentation

Royen, RD , Denis, L & Munteanu, A 2024, ' Joint prototype and coefficient prediction for 3D instance segmentation ', Electronics Letters , vol. 60, no. 5, e13137.

The impact of (simulated) resolution on breast cancer diagnosis based on high-resolution 3D micro-CT microcalcification images

Brahimetaj, R , Cornelis, JPH , Van Ongeval, C , De Mey, J & Jansen, B 2024, ' The impact of (simulated) resolution on breast cancer diagnosis based on high-resolution 3D micro-CT microcalcification images ', Medical Physics , vol. 51, no. 3,

Fracture monitoring of textile reinforced cementitious sandwich panels using non-contact millimeter wave spectrometry

Ospitia, N , Pourkazemi, A , Tsangouri, E , Angelis, D & Stiens, J 2024, ' Fracture monitoring of textile reinforced cementitious sandwich panels using non-contact millimeter wave spectrometry ', Construction and Building Materials , vol. 417, 135223, pp. 1-11.

PCGen: A Fully Parallelizable Point Cloud Generative Model

Vercheval, N , Royen, RD , Munteanu, A & Pizurica, A 2024, ' PCGen: A Fully Parallelizable Point Cloud Generative Model ', Sensors , vol. 24, no. 5, 1414.

W6DNet: Weakly Supervised Domain Adaptation for Monocular Vehicle 6-D Pose Estimation With 3-D Priors and Synthetic Data

Yangxintong, L , Royen, RD & Munteanu, A 2024, ' W6DNet: Weakly Supervised Domain Adaptation for Monocular Vehicle 6-D Pose Estimation With 3-D Priors and Synthetic Data ', IEEE Transactions on Instrumentation and Measurement , vol. 73, 5010313, pp. 1-13.

Technical challenges and solutions adopted for sustainable implementation of hospital management information systems in a low-resource country: experience from Burundi

Nkurunziza, A , Ndayikunda, A , MUSONI, O & Verbeke, F 2024, Technical challenges and solutions adopted for sustainable implementation of hospital management information systems in a low-resource country: experience from Burundi . in Technical challenges and solutions adopted for sustainable implementation of hospital management information systems in a low-resource country: experience from Burundi. 1 edn, vol. 10, Journal of Health Informatics in Africa, Germany, pp. 89-93.

Achieving Effectiveness in Result-Based Financing Through Digital Transformation of the Verification Process: Evidence from Burundi

Ndayikunda, A , NTIBAZOMUMPA, J, Ndayishimiye, SC, Mugisho, E, Sani Mahaman, A, Nimpagaritse, M, Van Bastelaere, S & Verbeke, F 2024, Achieving Effectiveness in Result-Based Financing Through Digital Transformation of the Verification Process: Evidence from Burundi . in Achieving Effectiveness in Result-Based Financing Through Digital Transformation of the Verification Process: Evidence from Burundi. 1 edn, vol. 10, Journal of Health Informatics in Africa, Germany, pp. 20-26.

Sidelobes and Ghost Targets Mitigation Technique for High-Resolution Forward-Looking MIMO-SAR

Albaba, A , Bauduin, M, Sakhnini, A , Sahli, H & Bourdoux, A 2024, ' Sidelobes and Ghost Targets Mitigation Technique for High-Resolution Forward-Looking MIMO-SAR ', IEEE Transactions on Radar Systems , vol. 2, pp. 237-250.

A General Technique for Radar Resolution Analysis Based on a Quadratic Approximation

Sakhnini, A , Albaba, A , Bourdoux, A & Pollin, S 2024, ' A General Technique for Radar Resolution Analysis Based on a Quadratic Approximation ', IEEE Transactions on Radar Systems , vol. 2, pp. 251-262.

Selecting and combining UWB localization algorithms: insights and recommendations from a multi-metric benchmark

Van Herbrugge, B, Vanhie-Van Gerwen, J, Luchie, S , Durodié, Y , Vanderborght, B , Aernouts, M , Munteanu, A , Fontaine, J & De Poorter, E 2024, ' Selecting and combining UWB localization algorithms: insights and recommendations from a multi-metric benchmark ', IEEE Access , vol. 12.

Armed with Faster Crypto: Optimizing Elliptic Curve Cryptography for ARM Processors

De Smet, R , Blancquaert, R , Godden, T , Steenhaut, K & Braeken, A 2024, ' Armed with Faster Crypto: Optimizing Elliptic Curve Cryptography for ARM Processors ', Sensors , vol. 24, no. 3, 1030.

Exploring technology acceptance of head-mounted device-based augmented reality surgical navigation in orthopaedic surgery

Verhellen, A , Elprama, SA , Scheerlinck, T , Van Aerschot, F , Duerinck, J , Van Gestel, F , Frantz, T , Jansen, B , Vandemeulebroucke, J & Jacobs, A 2024, ' Exploring technology acceptance of head-mounted device-based augmented reality surgical navigation in orthopaedic surgery ', The International Journal of Medical Robotics and Computer Assisted Surgery , vol. 20, no. 1, e2585, pp. 1-11.

An ensemble learning-enhanced multitask learning method for continuous affect recognition from facial images

Pei, E, Hu, Z, LANG, HE, Ning, H & Berenguer, AD 2024, ' An ensemble learning-enhanced multitask learning method for continuous affect recognition from facial images ', Expert Systems with Applications , vol. 236, no. February 2024, 121290, pp. 1-12.

Using Routine EMR Registration on a National Scale for Evaluating the Impact of HIV and ART on Childbirth in Burundi

Ndayikunda, A & Verbeke, F 2024, Using Routine EMR Registration on a National Scale for Evaluating the Impact of HIV and ART on Childbirth in Burundi . in J Bichel-Findlay, P Otero, P Scott & E Huesing (eds), Using Routine EMR Registration on a National Scale for Evaluating the Impact of HIV and ART on Childbirth in Burundi. 179-183 edn, vol. 310, Studies in Health Technology and Informatics, vol. 310, IOS Press.

Holistic Representation Learning for Multitask Trajectory Anomaly Detection

Stergiou, A , De Weerdt, B & Deligiannis, N 2024, Holistic Representation Learning for Multitask Trajectory Anomaly Detection . in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024, IEEE, pp. 6729-6739, IEEE/CVF Winter Conference on Applications of Computer Vision, Waikoloa, Hawaii, United States, 4/01/24 .

The Finger Dexterity Test: Validation study of a smartphone-based manual dexterity assessment

Van Laethem, D , Denissen, S , Costers, L , Descamps, A , Baijot, J , Van Remoortel, A , Van Merhaegen-Wieleman, A , D'Hooghe, MB , D'Haeseleer, M , Smeets, D, Sima, DM , Van Schependom, J & Nagels, G 2024, ' The Finger Dexterity Test: Validation study of a smartphone-based manual dexterity assessment ', Multiple Sclerosis Journal , vol. 30, no. 1, pp. 121-130.

Physics-Guided Graph Convolutional Deep Equilibrium Networks

Rodrigo Bonet, E & Deligiannis, N 2024, Physics-Guided Graph Convolutional Deep Equilibrium Networks . in European Signal Processing Conference.

Low bitrate compression of bi-level holograms using INTERFERE: an STFT-based hologram codec

Kizhakkumkara Muhamad, R , Blinder, D & Schelkens, P 2024, Low bitrate compression of bi-level holograms using INTERFERE: an STFT-based hologram codec . in Optica Digital Holography and Three-Dimensional Imaging 2024 (DH). , M1B.2, Optica Publishing Group (formerly OSA): https://opg.optica.org/.

Unveiling Privacy Risks in Stochastic Neural Networks Training: Effective Image Reconstruction from Gradients

Chen, Y , Yang, X & Deligiannis, N 2024, Unveiling Privacy Risks in Stochastic Neural Networks Training: Effective Image Reconstruction from Gradients . in The 18th European Conference on Computer Vision ECCV 2024.

Learned Parameter Compression for Efficient and Privacy-Preserving Federated Learning

Chen, Y , Abrahamyan, L , Sahli, H & Deligiannis, N 2024, ' Learned Parameter Compression for Efficient and Privacy-Preserving Federated Learning ', IEEE Open Journal of the Communications Society , vol. 5.

Deep-learning-based multi-modal fusion for traffic image data processing

Yangxintong, L 2024, ' Deep-learning-based multi-modal fusion for traffic image data processing ', Vrije Universiteit Brussel.

Addressing labelling, complexity, latency, and scalability in deep learning-based processing of point clouds

Royen, RD 2024, ' Addressing labelling, complexity, latency, and scalability in deep learning-based processing of point clouds ', Vrije Universiteit Brussel.

Data- and label-efficient deep learning for medical image analysis: Application to lung nodule detection on thoracic CT

Gonidakis, P 2024, ' Data- and label-efficient deep learning for medical image analysis: Application to lung nodule detection on thoracic CT ', Vrije Universiteit Brussel, Brussels.

Novel Fabrication and electromagnetic-optical characterization techniques of carbon-based nanostructures

Chen, C 2024, ' Novel Fabrication and electromagnetic-optical characterization techniques of carbon-based nanostructures ', Vrije Universiteit Brussel, Brussels.

A numerical analysis of wind farm wake characteristics in the southern part of the North Sea

Palatos-Plexidas, A , Gremmo, S, Porchetta, S , Van Beeck, J , De Cruz, L & Munters, W 2024, ' A numerical analysis of wind farm wake characteristics in the southern part of the North Sea ', Journal of Physics: Conference Series , vol. 2767, no. 9.

Towards smart acoustic cameras for simultaneous sound localization and recognition

Vandendriessche, J 2024, ' Towards smart acoustic cameras for simultaneous sound localization and recognition ', Vrije Universiteit Brussel.

Low power mm-wave FMCW radar receivers in V and D bands

Kankuppe Raghavendra Swamy, A 2024, ' Low power mm-wave FMCW radar receivers in V and D bands ', Vrije Universiteit Brussel, Brussels.

Data-driven causal modelling for de-biasing sentiment analysis models and multivariate stock price movement prediction

Da, Y 2024, ' Data-driven causal modelling for de-biasing sentiment analysis models and multivariate stock price movement prediction ', Vrije Universiteit Brussel, Brussels.

Augmented reality in surgery: On the development of real-time interventional planning and navigation for neurosurgical and orthopedic use cases: bench-top to clinical evaluation

Frantz, T 2024, ' Augmented reality in surgery: On the development of real-time interventional planning and navigation for neurosurgical and orthopedic use cases: bench-top to clinical evaluation ', Vrije Universiteit Brussel, Brussels.

3D Partitioning with Pipeline Optimization for Low-Latency Memory Access in Many-Core SoCs

Das, S , Riedel, S, Bertuletti, M, Benini, L, Brunion, M, Ryckaert, J, Myers, J, Biswas, D & Milojevic, D 2024, ' 3D Partitioning with Pipeline Optimization for Low-Latency Memory Access in Many-Core SoCs ', 2024 IEEE International Symposium on Circuits and Systems (ISCAS) .

GF-LRP: A Method for Explaining Predictions Made by Variational Graph Auto-Encoders

Rodrigo-Bonet, E & Deligiannis, N 2024, ' GF-LRP: A Method for Explaining Predictions Made by Variational Graph Auto-Encoders ', IEEE Transactions on Emerging Topics in Computational Intelligence , no. 2471-285X, pp. 1-11.

Learning-based Light field Imaging: An Overview

Mahmoudpour, S , Pagliari, C & Schelkens, P 2024, ' Learning-based Light field Imaging: An Overview ', EURASIP Journal on Image and Video Processing , vol. 2024, no. 1, 12.

A Subjective Test Framework for JPEG Pleno Quality Assessment

Zhao, S , Mahmoudpour, S , Farias, M, Pagliari, C & Schelkens, P 2024, A Subjective Test Framework for JPEG Pleno Quality Assessment . in 16th International Conference on Quality of Multimedia Experience (QoMEX). IEEE, 16th International Conference on Quality of Multimedia Experience (QoMEX), 18/06/24 .

Depth Scaling in Graph Neural Networks: Understanding the Flat Curve Behavior

Sousa Gomes, D , Efthymiadis, K , Nowe, A & Vrancx, P 2024, ' Depth Scaling in Graph Neural Networks: Understanding the Flat Curve Behavior ', Transactions on Machine Learning Research (TMLR) . < https://openreview.net/pdf?id=fdyHzoGT8g >

Segmentation-Guided Coordinate Regression for Robust Landmark Detection on X-Rays: Application to Automated Assessment of Lower Limb Alignment

Amador Sanchez, S , van Overschelde, P & Vandemeulebroucke, J 2024, ' Segmentation-Guided Coordinate Regression for Robust Landmark Detection on X-Rays: Application to Automated Assessment of Lower Limb Alignment ', IEEE Access , vol. 12, pp. 61484-61497.

A Reinforcement Learning Framework For Studying Group And Individual Fairness: Extended Abstract

Cimpean, IA , Jonker, CM , Libin, P & Nowe, A 2024, A Reinforcement Learning Framework For Studying Group And Individual Fairness: Extended Abstract . in The 23rd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2024: Extended Abstract. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), pp. 2216-2218, 23rd International Conference on Autonomous Agents and Multi-Agent Systems - AAMAS 2024, Auckland, New Zealand, 6/05/24 . < https://www.ifaamas.org/Proceedings/aamas2024/pdfs/p2216.pdf >

A Group And Individual Aware Framework For Fair Reinforcement Learning

Cimpean, IA , Jonker, CM , Libin, P & Nowe, A 2024, ' A Group And Individual Aware Framework For Fair Reinforcement Learning ', Proc. of the Adaptive and Learning Agents Workshop , vol. https://ala2024.github.io, pp. 1-10. < https://ala2024.github.io/papers/ALA2024_paper_22.pdf >

Taucam: A high-speed time-gated camera for fluorescence lifetime imaging

Lapauw, T 2024, ' Taucam: A high-speed time-gated camera for fluorescence lifetime imaging ', Vrije Universiteit Brussel.

From multi-modal capture to photo-realistic view synthesis: A high-quality and real-time multiview approach

Bonatto, D 2024, ' From multi-modal capture to photo-realistic view synthesis: A high-quality and real-time multiview approach ', Vrije Universiteit Brussel.

4D-CT for detailed diagnosis of peripheral arterial disease and diabetic foot ulcers: Is it worth our time?

Boonen, P 2024, ' 4D-CT for detailed diagnosis of peripheral arterial disease and diabetic foot ulcers: Is it worth our time? ', Vrije Universiteit Brussel.

Interactive instant urban climate modelling with AI and LEGO-cities

Covaci, A , Kooli, MF, Dehghanipour, H, El Bakkali, C, Top, S & De Cruz, L 2024, ' Interactive instant urban climate modelling with AI and LEGO-cities '.

Studying working memory in people with multiple sclerosis through dynamic brain networks

Rossi, C & Van Schependom, J 2024, ' Studying working memory in people with multiple sclerosis through dynamic brain networks ', Organization for Human Brain Mapping, Seoul, Korea, Republic of, 23/06/24 - 27/06/24 .

Natural gradient based adaptive Markov chain Monte Carlo

Ronoh, N 2024, ' Natural gradient based adaptive Markov chain Monte Carlo ', Vrije Universiteit Brussel.

Controlling large scale multi-agent environments with model-based reinforcement learning

Bargiacchi, E 2024, ' Controlling large scale multi-agent environments with model-based reinforcement learning ', Vrije Universiteit Brussel.

Transferable Multiple Subspace Learning for Hyperspectral Image Super-Resolution

Bu, Y, Zhao, Y, Xue, J, Yao, J & Chan, JC-W 2024, ' Transferable Multiple Subspace Learning for Hyperspectral Image Super-Resolution ', IEEE Geoscience and Remote Sensing Letters , vol. 21, 5501005, pp. 1-5.

Comparison of MCMC adaption schemes

Milgo, E 2024, ' Comparison of MCMC adaption schemes ', Vrije Universiteit Brussel.

Novel sequential RGB+NIR fluorescence lifetime imaging with a single nanosecond time-gated CAPS camera

Iranian, P , Nevens, W , Lapauw, T , Van Den Dries, T , Coosemans, J , Sahakian, S , Lepoutte, T , Jacobs, VA , Ingelberts, H & Kuijk, M 2024, ' Novel sequential RGB+NIR fluorescence lifetime imaging with a single nanosecond time-gated CAPS camera ', Proceedings of SPIE, the International Society for Optical Engineering , vol. 12831, 12831-30, pp. 1-12.

Computer-aided diagnosis and decision support using medical image analysis: Contributions to malignant melanoma and COVID-19

Dirks, I 2024, ' Computer-aided diagnosis and decision support using medical image analysis: Contributions to malignant melanoma and COVID-19 ', Vrije Universiteit Brussel, Brussels.

Visualizing and Understanding Contrastive Learning

Sammani, F , Joukovsky, B & Deligiannis, N 2024, ' Visualizing and Understanding Contrastive Learning ', IEEE Transactions on Image Processing , vol. 33, pp. 541 - 555.

Physics-guided variational graph autoencoder for air quality inference

Rodrigo Bonet, E & Deligiannis, N 2024, Physics-guided variational graph autoencoder for air quality inference . in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE.

CO-OCCURRENCE GRAPH-ENHANCED HIERARCHICAL PREDICTION OF ICD CODES

Mahdi, S , Papagiannopoulou, E , Deligiannis, N & Sahli, H 2024, CO-OCCURRENCE GRAPH-ENHANCED HIERARCHICAL PREDICTION OF ICD CODES . in 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024). IEEE.

Reducing Bias in Sentiment Analysis Models Through Causal Mediation Analysis and Targeted Counterfactual Training

Da, Y , Bossa, MN , Berenguer, AD & Sahli, H 2024, ' Reducing Bias in Sentiment Analysis Models Through Causal Mediation Analysis and Targeted Counterfactual Training ', IEEE Access , vol. 12, no. 2024, pp. 10120-10134.

 
2023 
Evaluation of 6LoWPAN Generic Header Compression in the Context of a RPL Network.

Vandervelden, T , Deac, D , Van Glabbeek, R , De Smet, R , Braeken, A & Steenhaut, K 2023, ' Evaluation of 6LoWPAN Generic Header Compression in the Context of a RPL Network. ', Sensors , vol. 24, no. 1, 73.

Few-Shot Classification with Meta-Learning for Urban Infrastructure Monitoring Using Distributed Acoustic Sensing

Luong, VH , Deligiannis, N , Wilhelm, R & Drapp, B 2023, ' Few-Shot Classification with Meta-Learning for Urban Infrastructure Monitoring Using Distributed Acoustic Sensing ', Sensors , vol. 24, no. 1, pp. 1-10.

Interpretable Neural Networks for Video Separation: Deep Unfolding RPCA with Foreground Masking

Joukovsky, B , Eldar, YC & Deligiannis, N 2023, ' Interpretable Neural Networks for Video Separation: Deep Unfolding RPCA with Foreground Masking ', IEEE Transactions on Image Processing , vol. 33, no. 1, 3336176, pp. 108-122.

The spectral slope as a marker of excitation/inhibition ratio and cognitive functioning in multiple sclerosis

Akbarian, F , Rossi, C , Costers, L , D'hooghe, MB , D'haeseleer, M , Nagels, G & Van Schependom, J 2023, ' The spectral slope as a marker of excitation/inhibition ratio and cognitive functioning in multiple sclerosis ', Human Brain Mapping , vol. 44, no. 17, pp. 5784-5794.

Computer-aided diagnosis of skeletal metastases in multi-parametric whole-body MRI

Ceranka, J , Wuts, J , Chiabai, O, Lecouvet, F & Vandemeulebroucke, J 2023, ' Computer-aided diagnosis of skeletal metastases in multi-parametric whole-body MRI ', Computer Methods and Programs in Biomedicine , vol. 242, no. 242, 107811, pp. 1-12.

An adaptive safety layer with hard constraints for safe reinforcement learning in multi-energy management systems

Ceusters, G , Putratama, MA , Franke, R , Nowé, A & Messagie, M 2023, ' An adaptive safety layer with hard constraints for safe reinforcement learning in multi-energy management systems ', Sustainable Energy, Grids and Networks , vol. 36, no. 2023, 101202.

A knowledge graph approach to predict and interpret disease-causing gene interactions

Renaux, A , Terwagne, C, Cochez, M, Tiddi, I , Nowé, A & Lenaerts, T 2023, ' A knowledge graph approach to predict and interpret disease-causing gene interactions ', BMC Bioinformatics , vol. 24, no. 1, 324.

Combined evaluation of blood flow and tissue perfusion in diabetic feet by intra-arterial dynamic 4DCT imaging

Boonen, P , Buls, N , Vandemeulebroucke, J , Van Gompel, G , Van Den Bergh, F , Leiner, T , Aerden, D & De Mey, J 2023, ' Combined evaluation of blood flow and tissue perfusion in diabetic feet by intra-arterial dynamic 4DCT imaging ', European Radiology Experimental , vol. 7, no. 1, 44.

Faster and more accurate pathogenic combination predictions with VarCoPP2.0

Versbraegen, N , Gravel, B , Nachtegael, C , Renaux, A , Verkinderen, E , Nowé, A , Lenaerts, T & Papadimitriou, S 2023, ' Faster and more accurate pathogenic combination predictions with VarCoPP2.0 ', BMC Bioinformatics , vol. 24, no. 1, 179.

Advances in computer-generated hologram for rendering and acceleration based on the point-polygon hybrid method

Wang, F , Blinder, D , Ito, T & Shimobaba, T 2023, Advances in computer-generated hologram for rendering and acceleration based on the point-polygon hybrid method . in Y Wang, TE Kidger & R Wu (eds), Optical Design and Testing XIII. vol. 12765, 1276508, Proceedings of SPIE - The International Society for Optical Engineering, vol. 12765, SPIE, pp. 17-20, SPIE/COS Photonics Asia 2023, Beijing, China, 12/10/23 .

Impact of COVID-19 on Physical Activity, Fatigue, and Frailty in Community-Dwelling Older Adults: A Cross-Sectional Study

Gerontopole Brussels Study group 2023, ' Impact of COVID-19 on Physical Activity, Fatigue, and Frailty in Community-Dwelling Older Adults: A Cross-Sectional Study ', Journal of Aging and Physical Activity , vol. 32, no. 2, pp. 172-184.

Fast calculation techniques of computer-generated hologram for line-drawn 3D objects

Nishitsuji, T , Blinder, D , Shimobaba, T, Kakue, T , Schelkens, P & Ito, T 2023, Fast calculation techniques of computer-generated hologram for line-drawn 3D objects . in Holography, Diffractive Optics, and Applications XIII. vol. 12768, Proceedings of SPIE - The International Society for Optical Engineering, vol. 12768, SPIE, SPIE/COS Photonics Asia 2023, Beijing, China, 12/10/23 .

Handcrafted features can boost performance and data-efficiency for deep detection of lung nodules from CT imaging

Gonidakis, P & Vandemeulebroucke, J 2023, ' Handcrafted features can boost performance and data-efficiency for deep detection of lung nodules from CT imaging ', 21st National Day of Biomedical Engineering 2023 , Brussels, Belgium, 17/11/23 - 17/11/23 .

Modular deep learning approach for wind farm power forecasting and wake loss prediction

Ally, S , Daems, P-J , Verstraeten, T , Nowe, A & Helsen, J 2023 ' Modular deep learning approach for wind farm power forecasting and wake loss prediction '.

Handcrafted features can boost performance and data-efficiency for deep detection of lung nodules from CT imaging

Gonidakis, P , Sóñora Mengana, A , Jansen, B & Vandemeulebroucke, J 2023, ' Handcrafted features can boost performance and data-efficiency for deep detection of lung nodules from CT imaging ', IEEE Access , vol. 10, pp. 126221-126231.

Autoregressive modeling for lossless compression of holograms

Kizhakkumkara Muhamad, R , Schretter, C , Blinder, D & Schelkens, P 2023, ' Autoregressive modeling for lossless compression of holograms ', Optics Express , vol. 31, no. 23, pp. 38589-38609.

Author Correction: A cross-sectional case-control study on the structural connectome in recovered hospitalized COVID-19 patients

Lathouwers, E , Radwan, A, Blommaert, J , Stas, L , Tassignon, B , Allard, SD , De Ridder, F , De Waele, E , Hoornaert, N , Lacor, P , Mertens, R , Naeyaert, M , Raeymaekers, H , Seyler, L , Vanbinst, A-M , Van Liedekerke, L , Van Schependom, J , Van Schuerbeek, P , Provyn, S , Roelands, B , Vandekerckhove, M , Meeusen, R , Sunaert, S , Nagels, G , De Mey, J & De Pauw, K 2023, ' Author Correction: A cross-sectional case-control study on the structural connectome in recovered hospitalized COVID-19 patients ', Scientific reports , vol. 13, no. 1, 19012.

Quantitative hemodynamic assessment of stenotic below-the-knee arteries using spatio-temporal bolus tracking on 4D-CT angiography

Boonen, PT , Buls, N , van Gompel, G , Devos, H , de Brucker, Y , Leiner, T , Aerden, D , de Mey, J & Vandemeulebroucke, J 2023, ' Quantitative hemodynamic assessment of stenotic below-the-knee arteries using spatio-temporal bolus tracking on 4D-CT angiography ', Medical Physics , vol. 50, no. 11, pp. 6844-6856.

Evaluation of the TraumaGuard Balloon-in-Balloon Catheter Design for Intra-Abdominal Pressure Monitoring: Insights from Pig and Human Cadaver Studies

Tayebi, S , McKinney, T, McKinney, C, Delvadia, D, Levine, M-A, Spofford Jr., ES, Malbrain, L , Stiens, J , Dabrowski, W & Malbrain, M 2023, ' Evaluation of the TraumaGuard Balloon-in-Balloon Catheter Design for Intra-Abdominal Pressure Monitoring: Insights from Pig and Human Cadaver Studies ', Sensors (Basel, Switzerland) , vol. 23, no. 21, 8806.

Task-induced changes in 1/f slope of aperiodic activity

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On-Device Execution of Deep Learning Models on HoloLens2for Real-Time Augmented Reality Medical Applications

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A data-driven network decomposition of the temporal, spatial, and spectral dynamics underpinning visual-verbal working memory processes

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Entry-Level Game Difficulty Estimation Based on Visuoperceptual Profiles of Children with Cerebral Visual Impairment

Kostkova, K , Ben Ithzak, N, Stijnen, L, Ortibus, E & Jansen, B 2023, Entry-Level Game Difficulty Estimation Based on Visuoperceptual Profiles of Children with Cerebral Visual Impairment . in Serious Games: 9th Joint International Conference, Jcsg 2023, Dublin, Ireland, October 26-27, 2023, Proceedings: Lecture Notes in Computer Science 14309. vol. 1, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14309 LNCS, Springer, Cham, Switzerland, pp. 81-94, 9th Joint International Conference, Dublin, Ireland, 26/10/23 .

Lighter and memory-saving diffraction calculations

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Elastic and electromagnetic monitoring of TRC sandwich panels in fracture under four-point bending

Ospitia, N , Tsangouri, E , Pourkazemi, A , Wang, Q, Keshavarzi, M , Stiens, J & Angelis, D 2023, ' Elastic and electromagnetic monitoring of TRC sandwich panels in fracture under four-point bending ', Construction and Building Materials , vol. 400, 132824, pp. 1-10.

The icompanion Finger Dexterity Test: validation study of a smartphone-based manual dexterity assessment

Van Laethem, D , Denissen, S , Costers, L , Descamps, A , Baijot, J , Van Remoortel, A , Van Merhaegen-Wieleman, A , D'hooghe, M , D'Haeseleer, M , Smeets, D, Sima, DM , Van Schependom, J & Nagels, G 2023, ' The icompanion Finger Dexterity Test: validation study of a smartphone-based manual dexterity assessment ', ECTRIMS 2023, Milan, Italy, 11/10/23 - 13/10/23 .

KD-Net: Continuous-Keystroke-Dynamics-Based Human Identification from RGB-D Image Sequences

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RESSCAL3D: Resolution Scalable 3D Semantic Segmentation of Point Clouds

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Measure4dhand: Dynamic Hand Measurement Extraction from 4D Scans

Dai, X , Zhao, R , Hu, P & Munteanu, A 2023, Measure4dhand: Dynamic Hand Measurement Extraction from 4D Scans . in 2023 IEEE International Conference on Image Processing (ICIP). Proceedings - International Conference on Image Processing, ICIP, IEEE, pp. 3543-3547, 2023 IEEE International Conference on Image Processing, Kuala Lumpur, Malaysia, 8/10/23 .

ESD mitigation for 3D IC hybrid bonding

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GPU Rasterization-Based 3D LiDAR Simulation for Deep Learning

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A 33 dBm, >30% PAE GaN Power Amplifier Based on a Sub-Quarter-Wavelength Balun for 5G Applications

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In Vitro Validation of a Novel Continuous Intra-Abdominal Pressure Measurement System (TraumaGuard)

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Dynamic CT scanning of the knee: Combining weight bearing with real-time motion acquisition

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Behavior Planning for Pruning with Robotic Arms

Liu, G , Boom, B , De Winter, J , Nowe, A & Vanderborght, B 2023, ' Behavior Planning for Pruning with Robotic Arms ', Paper presented at Workshop on Agricultural Robotics for a Sustainable Future, IROS 2023, Detroit, United States, 1/10/23 .

Deconstructing Reinforcement Learning Benchmarks: Revealing The Objectives

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Design and optimization of a graphene-enhanced tunable wire-grid-like polarizer operating in the 0.5–0.75 THz band

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Early Fault Detection Using Deep Learning on Compressed Cyclic Spectral Coherence Maps

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Occlusion-Aware 3D Priors for Deep Learning-Based Applications

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Augmented Reality Head Mounted Display based ultrasound navigation for spine surgery.

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A cross-sectional case-control study on the structural connectome in recovered hospitalized COVID-19 patients

Lathouwers, E , Radwan, A, Blommaert, J , Stas, L , Tassignon, B , Allard, SD , De Ridder, F, De Waele, E , Hoornaert, N , Lacor, P , Mertens, R , Naeyaert, M , Raeymaekers, H , Seyler, L , Vanbinst, AM , Van Liedekerke, L , Van Schependom, J , Van Schuerbeek, P , Provyn, S , Roelands, B , Vandekerckhove, M , Meeusen, R, Sunaert, S , Nagels, G , De Mey, J & De Pauw, K 2023, ' A cross-sectional case-control study on the structural connectome in recovered hospitalized COVID-19 patients ', Scientific reports , vol. 13, no. 1, 15668.

Acceleration of Bucket-Assisted Fast Sample Entropy for Biomedical Signal Analysis

Chen, C , Liu, C, Li, J & da Silva, B 2023, ' Acceleration of Bucket-Assisted Fast Sample Entropy for Biomedical Signal Analysis ', IEEE Transactions on Instrumentation and Measurement , vol. 72, no. 99, 2007311, pp. 1-11.

Effect of graphene film thickness on photoluminescence properties of ZnO/graphene composite films

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Mono6D++: Learning Point Cloud Visibility for 3D Prior-based Vehicle 6D Pose Estimation

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Laplacian Pyramid Fusion Network with Hierarchical Guidance for Infrared and Visible Image Fusion

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Patient-reported outcome measures on mental health and psychosocial factors in patients with Brugada syndrome

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Patient-reported outcome measures on mental health and psychosocial factors in patients with Brugada syndrome

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Virtual reality—enhanced walking in people post-stroke: effect of optic flow speed and level of immersion on the gait biomechanics

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Virtual reality—enhanced walking in peoplepost-stroke: effect of optic flow speed and levelof immersion on the gait biomechanics

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Reduced alpha2 power is associated with slowed information processing speed in multiple sclerosis

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Past and future outdoor thermal comfort for densely populated areas in Eurasia

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PatientHandNet: 3D Open-palm Hand Reconstruction from Sparse Multi-view Depth Images

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Polygon-based holograms production pipeline: from 3D modeling to optical reconstruction

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Joint color optimization for holographic displays

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Fresnel diffraction with linear time complexity using Gabor frames

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Diffraction calculation using low-quantization signals

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Compression challenges for digital holography

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Perceptually lossless compression of bi-level holograms using adaptive Markovian models

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Development and Validation of a Predictive Model for Metastatic Melanoma Patients Treated with Pembrolizumab Based on Automated Analysis of Whole-Body [18F]FDG PET/CT Imaging and Clinical Features

Dirks, I , Keyaerts, M , Dirven, I , Neyns, B & Vandemeulebroucke, J 2023, ' Development and Validation of a Predictive Model for Metastatic Melanoma Patients Treated with Pembrolizumab Based on Automated Analysis of Whole-Body [18F]FDG PET/CT Imaging and Clinical Features ', Cancers , vol. 15, no. 16, 4083.

Anomaly Detection in Multi-Wavelength Photoplethysmography Using Lightweight Machine Learning Algorithms

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Muscle endurance & self-perceived fatigue predict decline in gait speed and activities of Daily Living after one year follow-up: results from the BUTTERFLY Study

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Cooperative Foraging Behaviour Through Multi-Agent Reinforcement Learning with Graph-Based Communication

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Traffic Event Detection as a Slot Filling Problem

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AutoMLP: A Framework for the Acceleration of Multi-Layer Perceptron Models on FPGAs for Real-Time Atrial Fibrillation Disease Detection

Chen, C , Silva, BD , Yang, C, Ma, C, Li, J & Liu, C 2023, ' AutoMLP: A Framework for the Acceleration of Multi-Layer Perceptron Models on FPGAs for Real-Time Atrial Fibrillation Disease Detection ', IEEE Transactions on Biomedical Circuits and Systems , vol. 17, no. 6, pp. 1-17.

Novel Multi-Parametric Sensor System for Comprehensive Multi-Wavelength Photoplethysmography Characterization

Lambert Cause, J , Sole Morillo, A , da Silva, B , Garcia-Naranjo, JC & Stiens, J 2023, ' Novel Multi-Parametric Sensor System for Comprehensive Multi-Wavelength Photoplethysmography Characterization ', Sensors , vol. 23, no. 14, 6628, pp. 1-17.

The spectral slope as a marker of excitation/inhibition ratio and cognition in multiple sclerosis

Akbarian, F , Rossi, C , Costers, L , D'Haeseleer, M , D'Hooghe, MB , Nagels, G & Van Schependom, J 2023, ' The spectral slope as a marker of excitation/inhibition ratio and cognition in multiple sclerosis '.

Sparse CGH and the Acceleration of Phase-Added Stereograms

Blinder, D 2023, Sparse CGH and the Acceleration of Phase-Added Stereograms . in Hardware Acceleration of Computational Holography. Springer Nature Singapore, pp. 253-270.

How radars will help deliver your pizza!

Albaba, A 2023, ' How radars will help deliver your pizza! ' Wetenschap Uitgedokterd / Science Figured Out . < https://www.sciencefiguredout.be/how-radars-will-help-deliver-your-pizza >

Model-Agnostic Visual Explanations via Approximate Bilinear Models

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Visualizing Invariant Features in Vision Models

Sammani, F , Joukovsky, B & Deligiannis, N 2023, Visualizing Invariant Features in Vision Models . in 2023 24th International Conference on Digital Signal Processing (DSP). International Conference on Digital Signal Processing, DSP, vol. 2023-June, IEEE, pp. 1-5.

Forward-Looking MIMO-SAR for Enhanced Radar Imaging in Autonomous Mobile Robots

Albaba, A , Bauduin, M, Verbelen, T , Sahli, H & Bourdoux, A 2023, ' Forward-Looking MIMO-SAR for Enhanced Radar Imaging in Autonomous Mobile Robots ', IEEE Access , vol. 11, pp. 66934 - 66948.

A data-driven network description of the event-related waves in a working memory task: a magnetoencephalographic study.

Rossi, C , Vidaurre, D , Costers, L , Akbarian, F , Woolrich, M , Nagels, G & Van Schependom, J 2023, ' A data-driven network description of the event-related waves in a working memory task: a magnetoencephalographic study. ', Organization for Computational Neurosciences, 15/07/23 - 19/07/23 .

Region Attentive Action Unit Intensity Estimation with Uncertainty Weighted Multi-task Learning

Chen, H, Jiang, D , Zhao, Y , Wei, X, Lu, K & Sahli, H 2023, ' Region Attentive Action Unit Intensity Estimation with Uncertainty Weighted Multi-task Learning ', IEEE Transactions on Affective Computing , vol. 14, no. 3, pp. 2033-2047.

Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making

Abels, A , Lenaerts, T , Trianni, V & Nowe, A 2023, Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making . in Proceedings of the 40th International Conference on Machine Learning. vol. 202, Proceedings of Machine Learning Research, JMLR, pp. 79-90, International Conference on Machine Learning, Honolulu, Hawaii, United States, 23/07/23 . < https://proceedings.mlr.press/v202/abels23a.html >

Attribution of the heavy rainfall events leading to severe flooding in Western Europe during July 2021

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Neuronal activity and NIBS in developmental myelination and remyelination - current state of knowledge

Scheinok, TJ , D'Haeseleer, M , Nagels, G , De Bundel, D & Van Schependom, J 2023, ' Neuronal activity and NIBS in developmental myelination and remyelination - current state of knowledge ', Progress in Neurobiology , vol. 226, 102459.

Dealing with Expert Bias in Collective Decision-Making

Abels, A , Lenaerts, T , Trianni, V & Nowe, A 2023, ' Dealing with Expert Bias in Collective Decision-Making ', Artificial Intelligence , vol. 320, 103921.

The Finger Dexterity Test: validation study of a smartphone-based manual dexterity assessment

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MULTI-VIEW INFANT CRY CLASSIFICATION

Martinez Cañete, Y , Sahli, H & Diaz Berenguer, A 2023, MULTI-VIEW INFANT CRY CLASSIFICATION . in A Pertusa, AJ Gallego, JA Sánchez & I Domingues (eds), Springer Lecture Notes in Computer Science. Pattern Recognition and Image Analysis.: 11th Iberian Conference on Pattern Recognition and Image Analysis Alicante, Spain, Proceedings. June 27-30, 2023. vol. 14062, Springer, Cham, pp. 639–653, Iberian Conference on Pattern Recognition and Image Analysis, Alicante, Spain, 27/06/23 .

Validation of an augmented reality based functional method to determine and render the hip rotation center during total hip arthroplasty.

Neuville, Q , Frantz, T , Van Gestel, F , Jansen, B , Vandemeulebroucke, J , Duerinck, J & Scheerlinck, T 2023, Validation of an augmented reality based functional method to determine and render the hip rotation center during total hip arthroplasty. in CARS 2023-Computer Assisted Radiology and Surgery Proceedings of the 37th International Congress and Exhibition Munich, Germany, June 20-23, 2023. no. Suppl 1, pp. 1–123. edn, vol. vol. 18, International Journal of Computer Assisted Radiology and Surgery (IJCARS), CARS 2023-Computer Assisted Radiology and Surgery Proceedings of the 37th International Congress and Exhibition Munich, Munich, Germany, 20/06/23 .

Wind Power Prediction using Multi-Task Gaussian Process Regression with Lagged Inputs

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Pattern mining based data fusion for wind turbine condition monitoring

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Quantitative Evaluation of Video Explainability Methods via Anomaly Localization

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Point-polygon hybrid method for generating holograms

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Improved Block Merging for 3D Point Cloud Instance Segmentation

Denis, L , Royen, RD & Munteanu, A 2023, Improved Block Merging for 3D Point Cloud Instance Segmentation . in 2023 24th International Conference on Digital Signal Processing (DSP). Proceedings - International Conference on Digital Signal Processing (DSP), IEEE, pp. 1-5, 24th International Conference on Digital Signal Processing, Island of Rhodes, Greece, 11/06/23 .

W2H-Net: Fast Prediction of Waist-to-Hip Ratio from Single Partial Dressed Body Scans in Arbitrary Postures via Deep Learning

Zhao, R , Munteanu, A , Hu, P & Dai, X 2023, W2H-Net: Fast Prediction of Waist-to-Hip Ratio from Single Partial Dressed Body Scans in Arbitrary Postures via Deep Learning . in IEEE International Joint Conference on Biometrics (IJCB 2023). 2023 IEEE International Joint Conference on Biometrics, IJCB 2023, IEEE, IEEE International Joint Conference on Biometrics - Ljubljana, Slovenia, Ljubljana, Slovenia, 25/09/23 .

Point2PartVolume: Human Body Volume Estimation from A Single Depth Image

Hu, P , Dai, X , Zhao, R & Munteanu, A 2023, ' Point2PartVolume: Human Body Volume Estimation from A Single Depth Image ', IEEE Transactions on Instrumentation and measurement , vol. 72, 5502812.

Chest X-Ray Imaging Severity Score of COVID-19 Pneumonia

Garea-Llano, E , Diaz-Berenguer, A , Sahli, H & Gonzalez-Dalmau, E 2023, Chest X-Ray Imaging Severity Score of COVID-19 Pneumonia . in AY Rodríguez-González, H Pérez-Espinosa, JF Martínez-Trinidad, JA Carrasco-Ochoa & JA Olvera-López (eds), Lecture Notes in Computer Science: Mexican Conference on Pattern Recognition. vol. 13902, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13902 LNCS, Springer, Cham, pp. 211–220.

Overview of normal behavior modeling approaches for SCADA-based wind turbine condition monitoring demonstrated on data from operational wind farms

Chesterman, X , Verstraeten, T , Daems, P-J , Nowe, A & Helsen, J 2023, ' Overview of normal behavior modeling approaches for SCADA-based wind turbine condition monitoring demonstrated on data from operational wind farms ', Wind Energy Science , vol. 8, no. 6, pp. 893–924.

Elucidating Transition State Behaviour from Mobility Data by Cascades of Markov Chains

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Improvement of absorbing stability of carbon nanofibers in sub-terahertz domain using the surface modification of zinc oxide

Cheng, C , Zhao, W, Zhang, H , Hauffman, T , Zhang, Z & Stiens, J 2023, ' Improvement of absorbing stability of carbon nanofibers in sub-terahertz domain using the surface modification of zinc oxide ', Ceramics International , vol. 49, no. 11, pp. 18491-18501.

Play It Back: Iterative Attention For Audio Recognition

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WAE-PCN: Wasserstein-autoencoded Pareto Conditioned Networks

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The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models

Avalos, R , Delgrange, F , Nowé, A , Pérez, GA & Roijers, DM 2023, ' The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models ', Proc. of the Adaptive and Learning Agents Workshop (ALA 2023) , pp. 1-21.

Relevance Propagation through Deep Conditional Random Fields

Yang, X , Joukovsky, B & Deligiannis, N 2023, Relevance Propagation through Deep Conditional Random Fields . in ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2023-June, IEEE, pp. 1-5, 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing, Rhodes, Greece, 4/06/23 .

Low-Complexity Forward-Looking Volumetric SAR for High Resolution 3-D Radar Imaging

Albaba, A , Bauduin, M , Sahli, H & Bourdoux, A 2023, Low-Complexity Forward-Looking Volumetric SAR for High Resolution 3-D Radar Imaging . in 2023 IEEE Radar Conference (RadarConf23). 2023 IEEE Radar Conference (RadarConf23), IEEE, IEEE Xplore, pp. 1-6, 2023 IEEE Radar Conference, San Antonio, Texas, United States, 1/05/23 .

Occurrence and Severity of Coronavirus Disease 2019 Are Associated With Clinical Disability Worsening in Patients With Multiple Sclerosis

Peeters, G , Van Remoortel, A , Nagels, G , Van Schependom, J & D'haeseleer, M 2023, ' Occurrence and Severity of Coronavirus Disease 2019 Are Associated With Clinical Disability Worsening in Patients With Multiple Sclerosis ', Neurology: Neuroimmunology & Neuroinflammation , vol. 10, no. 3.

Multi-objective reinforcement learning for guaranteeing alignment with multiple values

Rodriguez-Soto, M , Radulescu, R , Rodriguez-Aguilar, JA, Lopez-Sanchez, M & Nowe, A 2023, ' Multi-objective reinforcement learning for guaranteeing alignment with multiple values ', Paper presented at 2023 Adaptive and Learning Agents Workshop at AAMAS, London, United Kingdom, 29/05/23 - 30/05/23 . < https://alaworkshop2023.github.io/papers/ALA2023_paper_15.pdf >

Comparison of Intra- and Inter-Patient Intensity Standardization Methods for Multi-Parametric Whole-Body MRI

Ceranka, J , Lecouvet, F, Michoux, N , De Mey, J , Raeymaekers, H , Metens, T & Vandemeulebroucke, J 2023, ' Comparison of Intra- and Inter-Patient Intensity Standardization Methods for Multi-Parametric Whole-Body MRI ', Biomedical Physics & Engineering Express , vol. 9, no. 3, 035028.

A Study of Nash Equilibria in Multi-Objective Normal-Form Games: JAAMAS Track

Röpke, W , Roijers, DM , Nowe, A & Radulescu, R 2023, A Study of Nash Equilibria in Multi-Objective Normal-Form Games: JAAMAS Track . in The 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), pp. 269-271, The 22nd International Conference on Autonomous Agents and Multiagent Systems, London, United Kingdom, 29/05/23 . < https://www.southampton.ac.uk/~eg/AAMAS2023/pdfs/p269.pdf >

Synergistic Task and Motion Planning With Reinforcement Learning-Based Non-Prehensile Actions

Liu, G , De Winter, J , Steckelmacher, D , Hota, RK , Nowe, A & Vanderborght, B 2023, ' Synergistic Task and Motion Planning With Reinforcement Learning-Based Non-Prehensile Actions ', IEEE Robotics and Automation Letters , vol. 8, no. 5, pp. 2764-2771.

A Brief Guide to Multi-Objective Reinforcement Learning and Planning: JAAMAS Track

Hayes, CF , Radulescu, R , Bargiacchi, E , Källström, J, Macfarlane, M , Reymond, M , Verstraeten, T , Zintgraf, L, Dazeley, R, Heintz, F, Howley, E, Irissappane, AA, Mannion, P , Nowe, A , De Oliveira Ramos, G, Restelli, M, Vamplew, P & Roijers, DM 2023, A Brief Guide to Multi-Objective Reinforcement Learning and Planning: JAAMAS Track . in The 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023). vol. 2023-May, Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), pp. 1988-1990, The 22nd International Conference on Autonomous Agents and Multiagent Systems, London, United Kingdom, 29/05/23 . < https://www.southampton.ac.uk/~eg/AAMAS2023/pdfs/p1988.pdf >

Bridging the Gap Between Single and Multi Objective Games

Röpke, W , Groenland, C , Radulescu, R , Nowe, A & Roijers, DM 2023, Bridging the Gap Between Single and Multi Objective Games . in The 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), pp. 224-232, The 22nd International Conference on Autonomous Agents and Multiagent Systems, London, United Kingdom, 29/05/23 . < https://arxiv.org/abs/2301.05755 >

A Study of Nash Equilibria in Multi-Objective Normal-Form Games

Röpke, W , Roijers, DM , Nowe, A & Radulescu, R 2023, A Study of Nash Equilibria in Multi-Objective Normal-Form Games: JAAMAS Track . in The 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), pp. 269-271, The 22nd International Conference on Autonomous Agents and Multiagent Systems, London, United Kingdom, 29/05/23 . < https://www.southampton.ac.uk/~eg/AAMAS2023/pdfs/p269.pdf >

Machine learning-based emulation of land cover effects at sub-hectometric scale using crowd-sourced weather observations

Covaci, A , Vergauwen, T, Top, S, Caluwaerts, S & De Cruz, L 2023, ' Machine learning-based emulation of land cover effects at sub-hectometric scale using crowd-sourced weather observations ', EGU General Assembly 2023, Vienna, Austria, 23/04/23 - 28/04/23 .

Improved bias-adjustment methods for subdaily precipitation extremes

Van De Vyver, H, Van Schaeybroeck, B , De Cruz, L , Hamdi, R & Termonia, P 2023, ' Improved bias-adjustment methods for subdaily precipitation extremes ', EGU General Assembly 2023, Vienna, Austria, 23/04/23 - 28/04/23 .

Seamless rainfall and discharge forecasting using a scale-dependent blending of ensemble rainfall nowcasts and NWP

Imhoff, R, Tsiokanos, A, Aerts, J , De Cruz, L , Brauer, C, van Heeringen, K-J, Weerts, A & Uijlenhoet, R 2023, ' Seamless rainfall and discharge forecasting using a scale-dependent blending of ensemble rainfall nowcasts and NWP ', EGU General Assembly 2023, Vienna, Austria, 23/04/23 - 28/04/23 .

Healthcare professionals’ perspectives on development of assistive technology using the comprehensive assistive technology model

Debeuf, R , Fobelets, M , Vaneyghen, J, Naets, B, Minnaert, B, Wachter, ED, Lambrechts, R , Beckwée, D , Jansen, B , Middag, C & Swinnen, E 2023, ' Healthcare professionals’ perspectives on development of assistive technology using the comprehensive assistive technology model ', Assistive Technology , vol. 36, no. 1, pp. 51-59.

Actor-critic multi-objective reinforcement learning for non-linear utility functions

Reymond, M , Hayes, CF , Steckelmacher, D , Roijers, DM & Nowe, A 2023, ' Actor-critic multi-objective reinforcement learning for non-linear utility functions ', Autonomous Agents and Multi-Agent Systems , vol. 37, no. 2, 23.

Evaluating Quality of Visual Explanations of Deep Learning Models for Vision Tasks

Yang, Y , Mahmoudpour, S , Schelkens, P & Deligiannis, N 2023, Evaluating Quality of Visual Explanations of Deep Learning Models for Vision Tasks . in International Conference on Quality of Multimedia Experience (QoMEX). 2023 15th International Conference on Quality of Multimedia Experience, QoMEX 2023, IEEE, pp. 159-164, 15th International Conference on Quality of Multimedia Experience (QoMEX) , 20/06/23 .

Indirect Calorimetry in Spontaneously Breathing, Mechanically Ventilated and Extracorporeally Oxygenated Patients: An Engineering Review

Priem, S , Jonckheer, J , De Waele, E & Stiens, J 2023, ' Indirect Calorimetry in Spontaneously Breathing, Mechanically Ventilated and Extracorporeally Oxygenated Patients: An Engineering Review ', Sensors , vol. 23, no. 8, 4143.

Sustainability Analysis of Indium Phosphide technologies for RF applications

Vanhouche, B 2023, ' Sustainability Analysis of Indium Phosphide technologies for RF applications ', Paper presented at DATE2023, Antwerp, Belgium, 17/04/23 - 19/04/23 .

A new exploration of quality testing technique for the wafer-scale graphene film based on the terahertz vector network analysis technology

Cheng, C , Pourkazemi, A , zhao, W , Van den Brande, N , Hauffman, T , Zhang, Z & Stiens, J 2023, ' A new exploration of quality testing technique for the wafer-scale graphene film based on the terahertz vector network analysis technology ', Applied Surface Science , vol. 616, no. 2023, 156498.

Scale-dependent blending of ensemble rainfall nowcasts and numerical weather prediction in the open-source pysteps library

Imhoff, RO , De Cruz, L , Dewettinck, W, Brauer, CC, Uijlenhoet, R, van Heeringen, KJ, Velasco-Forero, C, Nerini, D, Van Ginderachter, M & Weerts, AH 2023, ' Scale-dependent blending of ensemble rainfall nowcasts and numerical weather prediction in the open-source pysteps library ', Quarterly Journal of the Royal Meteorological Society , vol. 149, no. 753, pp. 1335-1364.

JPEG Pleno Holography presents the numerical reconstruction software for holograms: An excursion in holographic views

Birnbaum, T , Kizhakkumkara Muhamad, R , Perra, C, Gilles, A , Blinder, D , Kozacki, T & Schelkens, P 2023, ' JPEG Pleno Holography presents the numerical reconstruction software for holograms: An excursion in holographic views ', Appl. Optics , vol. 62, no. 10, pp. 2462-2469.

Optimal Sensor Set for Decoding Motor Imagery from EEG

Dillen, A , Ghaffari, F, Romain, O , Vanderborght, B , Marusic, U, Grosprêtre, S , Nowe, A , Meeusen, R & De Pauw, K 2023, ' Optimal Sensor Set for Decoding Motor Imagery from EEG ', Applied Sciences , vol. 13, no. 7, 4438.

Safe reinforcement learning for multi-energy management systems with known constraint functions

Ceusters, G , Camargo, LR, Franke, R , Nowé, A & Messagie, M 2023, ' Safe reinforcement learning for multi-energy management systems with known constraint functions ', Energy and AI , vol. 12, 100227.

Evaluating a clinical decision support point of care instrument in low resource setting

Tegenaw, GS , Amenu, D, Ketema, G , Verbeke, F , Cornelis, J & Jansen, B 2023, ' Evaluating a clinical decision support point of care instrument in low resource setting ', BMC Medical Informatics and Decision Making , vol. 23, no. 1, 51, pp. 1-16.

RF linearity trade-offs for varying T-gate geometries of GaN HEMTs on Si

ElKashlan, R, Khaled, A, Rodriguez, R, Sibaja-Hernandez, A, Peralagu, U, Alian, A, Collaert, N , Wambacq, P & Parvais, B 2023, ' RF linearity trade-offs for varying T-gate geometries of GaN HEMTs on Si ', International Journal of Microwave and Wireless Technologies , vol. 67, pp. 1-10.

Neuro-oncological augmented reality planning for intracranial tumor resection

Van Gestel, F , Frantz, T , Buyck, F , Geens, W , Neuville, Q , Bruneau, M , Jansen, B , Scheerlinck, T , Vandemeulebroucke, J & Duerinck, J 2023, ' Neuro-oncological augmented reality planning for intracranial tumor resection ', Frontiers in Neurology , vol. 14, 1104571.

Deep hologram converter from low-precision to middle-precision holograms

Shiomi, H , Blinder, D , Birnbaum, T , Inoue, Y, Wang, F, Ito, T, Kakue, T , Schelkens, P & Shimobaba, T 2023, ' Deep hologram converter from low-precision to middle-precision holograms ', Appl. Optics , vol. 62, no. 7, pp. 1723-1729.

Analysis of the Analytical Performance Models for GPUs and Extracting the Underlying Pipeline Model

Lemeire, J & Cornelis, JG 2023, ' Analysis of the Analytical Performance Models for GPUs and Extracting the Underlying Pipeline Model ', Journal of Parallel and Distributed Computing , vol. 173, pp. 32-47.

Bias-Adjustment Methods for Future Subdaily Precipitation Extremes Consistent Across Durations

Van de Vyver, H, Van Schaeybroeck, B , De Cruz, L , Hamdi, R & Termonia, P 2023, ' Bias-Adjustment Methods for Future Subdaily Precipitation Extremes Consistent Across Durations ', earth and space science , vol. 10, no. 3, e2022EA002798, pp. 1-13.

Longitudinal changes in global structural brain connectivity and cognitive performance in former hospitalized COVID-19 survivors: an exploratory study

Tassignon, B , Radwan, A, Blommaert, J , Stas, L , Allard, SD , De Ridder, F , De Waele, E , Bulnes, LC , Hoornaert, N , Lacor, P , Lathouwers, E , Mertens, R , Naeyaert, M , Raeymaekers, H , Seyler, L , Van Binst, AM , Van Imschoot, L, Van Liedekerke, L , Van Schependom, J , Van Schuerbeek, P , Vandekerckhove, M , Meeusen, R , Sunaert, S , Nagels, G , De Mey, J & De Pauw, K 2023, ' Longitudinal changes in global structural brain connectivity and cognitive performance in former hospitalized COVID-19 survivors: an exploratory study ', Experimental Brain Research , vol. 241, no. 3, pp. 727-741.

Underwater localization with binary measurements: From compressed sensing to deep unfolding

Yang, Y , Xiao, P & Deligiannis, N 2023, ' Underwater localization with binary measurements: From compressed sensing to deep unfolding ', Digital Signal Processing , vol. 133, 103867.

Advances in Neurodegenerative Diseases

Van Schependom, J & D'haeseleer, M 2023, ' Advances in Neurodegenerative Diseases ', Journal of clinical medicine , vol. 12, no. 5, 1709.

Usability and user experience of an individualized and adaptive game-based therapy for children with cerebral visual impairment

Ben Ithzak, N, Franki, I , Jansen, B , Kostkova, K , Wagemans, J & Ortibus, E 2023, ' Usability and user experience of an individualized and adaptive game-based therapy for children with cerebral visual impairment ', International Journal of Child-Computer Interaction , vol. 35, 100551.

A multidimensional ODE-based model of Alzheimer's disease progression

Bossa, MN & Sahli, H 2023, ' A multidimensional ODE-based model of Alzheimer's disease progression ', Scientific reports , vol. 13, no. 1, 3162.

Design of a 10.56-Gb/s 64-QAM Polar Transmitter at 60 GHz in 28-nm CMOS

Nguyen, J, Khalaf, K, Tang, X, Brebels, S, Vaesen, K, Shrivas, M & Wambacq, P 2023, ' Design of a 10.56-Gb/s 64-QAM Polar Transmitter at 60 GHz in 28-nm CMOS ', IEEE Journal of Solid-State Circuits , pp. 1-13.

Representation Learning with Information Theory to Detect COVID-19 and its Severity

Diaz Berenguer, A , Mukherjee, T , Da, Y , Bossa Bossa, MN , Kvasnytsia, M , Vandemeulebroucke, J , Deligiannis, N & Sahli, H 2023, Representation Learning with Information Theory to Detect COVID-19 and its Severity . in L Karlinsky, T Michaeli & K Nishino (eds), Lecture Notes in Computer Science: Computer Vision – ECCV 2022 Workshops. vol. 13807, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13807 LNCS, Springer, Cham, pp. 605-620.

Fleet-based early fault detection of wind turbine gearboxes using physics-informed deep learning based on cyclic spectral coherence

Perez Sanjines, FR , Peeters, C , Verstraeten, T , Antoni, J , Nowe, A & Helsen, J 2023, ' Fleet-based early fault detection of wind turbine gearboxes using physics-informed deep learning based on cyclic spectral coherence ', Mechanical Systems and Signal Processing , vol. 185, 109760.

Wasserstein Auto-encoded MDPs: Formal Verification of Efficiently Distilled RL Policies with Many-sided Guarantees

Delgrange, F , Nowe, A & Pérez, GA 2023, Wasserstein Auto-encoded MDPs: Formal Verification of Efficiently Distilled RL Policies with Many-sided Guarantees . in The Eleventh International Conference on Learning Representations: ICLR 2023. vol. 11, 4010, OpenReview.net, Kigali, Rwanda, pp. 1-30, The Eleventh International Conference on Learning Representations, Kigali, Rwanda, 1/05/23 . < https://openreview.net/pdf?id=JLLTtEdh1ZY >

Three-dimensional spline-based computer-generated holography

Blinder, D , Nishitsuji, T & Schelkens, P 2023, ' Three-dimensional spline-based computer-generated holography ', Optics Express , vol. 31, no. 2, pp. 3072-3082.

Wavefront recording plane-like method for polygon-based holograms

Wang, F , Blinder, D , Ito, T & Shimobaba, T 2023, ' Wavefront recording plane-like method for polygon-based holograms ', Optics Express , vol. 31, no. 2, pp. 1224-1233.

Computer-vision based analysis of the neurosurgical scene - A systematic review

Buyck, F , Vandemeulebroucke, J , Ceranka, J , Van Gestel, F , Cornelius, JF , Duerinck, J & Bruneau, M 2023, ' Computer-vision based analysis of the neurosurgical scene - A systematic review ', Brain and spine , vol. 3, 102706.

Supporting Wider Baseline Light Fields in JPEG Pleno With a Novel Slanted 4D-DCT Coding Mode

De Carvalho, MBD, Pagliari, CL, Alves, GDOE , Schretter, C , Schelkens, P , Pereira, F & Da Silva, EAB 2023, ' Supporting Wider Baseline Light Fields in JPEG Pleno With a Novel Slanted 4D-DCT Coding Mode ', IEEE Access , vol. 11, pp. 28294-28317.

Multi-Step Generalized Policy Improvement by Leveraging Approximate Models

Nunes Alegre, L , Bazzan, A , Nowe, A & Castro da Silva, B 2023, Multi-Step Generalized Policy Improvement by Leveraging Approximate Models . in Advances in Neural Information Processing Systems 36 (NeurIPS 2023). vol. 36, Curran Associates, Inc., pp. 38181-38205, Advances in Neural Information Processing Systems, New Orleans, United States, 10/12/23 . < https://proceedings.neurips.cc/paper_files/paper/2023/file/77c7faab15002432ba1151e8d5cc389a-Paper-Conference.pdf >

A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning

Felten, F , Nunes Alegre, L , Nowe, A , Bazzan, A, Talbi, E-G, Danoy, G & Castro da Silva, B 2023, A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning . in Advances in Neural Information Processing Systems. vol. 36, Advances in Neural Information Processing Systems, Curran Associates, Inc., pp. 23671-23700. < http://{https://proceedings.neurips.cc/paper_files/paper/2023/file/4aa8891583f07ae200ba07843954caeb-Paper-Datasets_and_Benchmarks.pdf >

On the Correspondence between Human Vision and Convolutional Neural Networks: A Visual Quality Assessment Perspective

Mahmoudpour, S & Schelkens, P 2023, On the Correspondence between Human Vision and Convolutional Neural Networks: A Visual Quality Assessment Perspective . in 15th International Conference on Quality of Multimedia Experience (QoMEX). 2023 15th International Conference on Quality of Multimedia Experience, QoMEX 2023, IEEE, pp. 153-158, 15th International Conference on Quality of Multimedia Experience (QoMEX) , 20/06/23 .

On the Agreement of Deep Neural Networks with the Brain in Encoding Visual Stimuli: Implications for Image Quality Assessment

Mahmoudpour, S & Schelkens, P 2023, On the Agreement of Deep Neural Networks with the Brain in Encoding Visual Stimuli: Implications for Image Quality Assessment . in 2023 24th International Conference on Digital Signal Processing, DSP 2023. International Conference on Digital Signal Processing, DSP, vol. 2023-June, IEEE, pp. 1-5, 24th International Conference on Digital Signal Processing, Island of Rhodes, Greece, 11/06/23 .

Towards Fairness In Reinforcement Learning

Cimpean, IA , Libin, P , Coppens, Y , Jonker, CM & Nowe, A 2023, ' Towards Fairness In Reinforcement Learning ', Proc. of the Adaptive and Learning Agents Workshop (ALA 2023) , vol. https://alaworkshop2023.github.io, pp. 1-5. < https://alaworkshop2023.github.io/papers/ALA2023_paper_39.pdf >

A Multi-objective Framework For Fair Reinforcement Learning

Cimpean, IA , Jonker, CM , Libin, P & Nowe, A 2023, ' A Multi-objective Framework For Fair Reinforcement Learning ', Paper presented at Multi-Objective Decision Making Workshop 2023, Krakow, Poland, 1/10/23 - 1/10/23 pp. 1-11. < https://modem2023.vub.ac.be/papers/MODeM2023_paper_19.pdf >

A general purpose framework for fairness in job hiring

Vanspringel, S , Cimpean, IA , Libin, P & Nowe, A 2023, ' A general purpose framework for fairness in job hiring ', Proceedings of the Benelux Conference on Artificial Intelligence , vol. https://bnaic2023.tudelft.nl/pre-proceedings, pp. 1-3. < https://bnaic2023.tudelft.nl/static/media/BNAICBENELEARN_2023_paper_92.c31b7ee4e7361d2999a5.pdf >

Machine learning-based emulation of land cover effects at sub-hectometric scale using crowd-sourced weather observations

Covaci, A , De Cruz, L , Vergauwen, T, Top, S & Caluwaerts, S 2023, ' Machine learning-based emulation of land cover effects at sub-hectometric scale using crowd-sourced weather observations ', EGU General Assembly 2023, Vienna, Austria, 23/04/23 - 28/04/23 .

The task-evoked network dynamics underlying working memory in RR-MS: a magnetoencephalography study

Rossi, C , Vidaurre, D , Costers, L , D'Hooghe, MB , Akbarian, F , D'Haeseleer, M , Woolrich, M, Nagels, G & Van Schependom, J 2023, ' The task-evoked network dynamics underlying working memory in RR-MS: a magnetoencephalography study ', ECTRIMS 2023, Milan, Italy, 11/10/23 - 13/10/23 .

Unsupervised Deep Tensor Network for Hyperspectral-Multispectral Image Fusion

Yang, J, Xiao, L, Zhao, Y-Q & Chan, JC-W 2023, ' Unsupervised Deep Tensor Network for Hyperspectral-Multispectral Image Fusion ', IEEE Transactions on Neural Networks and Learning Systems , pp. 1-15.

Contextual Qualitative Deterministic Models for Self-Learning Embodied Agents

Lemeire, J , Wouters, N , Van Cleemput, M & Heirman, A 2023, Contextual Qualitative Deterministic Models for Self-Learning Embodied Agents . in Active Inference. IWAI 2023. Communications in Computer and Information Science. vol. 1915, pp. 3-13, the 4th International Workshop on Active Inference (IWAI 2023), 13-15 September 2023, Ghent, Belgium, Ghent, Belgium, 13/09/23 . < https://link.springer.com/chapter/10.1007/978-3-031-47958-8_1 >

Data Partition Optimization for High Energy Efficiency by Decoupling Local Dependence in Holographic Video Decoder

Liu, X, Luo, J , Blinder, D , Chen, F, Yu, H , Schelkens, P , Catthoor, F & Ha, Y 2023, Data Partition Optimization for High Energy Efficiency by Decoupling Local Dependence in Holographic Video Decoder . in ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems: Technosapiens for Saving Humanity. ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems: Technosapiens for Saving Humanity, IEEE, 2023 30th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Istanbul, Turkey, 4/12/23 .

Ruthenium Metallization and Via Prefill for Electromigration Reliability Enhancement in Advanced Sub-3 nm Node Interconnects

Esposto, S , Sisto, G, Ciofi, I, Croes, K, Milojevic, D & Zahedmanesh, H 2023, Ruthenium Metallization and Via Prefill for Electromigration Reliability Enhancement in Advanced Sub-3 nm Node Interconnects . in International Integrated Reliability Workshop IIRW 2023. IEEE, pp. 1-4, International Integrated Reliability Workshop, United States, 8/10/23 .

Structural brain damage and cognition in MS: an AI approach

Denissen, S 2023, ' Structural brain damage and cognition in MS: an AI approach ', Vrije Universiteit Brussel.

Image sensors to enable fluorescence lifetime guided surgery

Van Den Dries, T 2023, ' Image sensors to enable fluorescence lifetime guided surgery ', Vrije Universiteit Brussel.

LOCALLY ACCUMULATED ADAM FOR DISTRIBUTED TRAINING WITH SPARSE UPDATES

Chen, Y & Deligiannis, N 2023, LOCALLY ACCUMULATED ADAM FOR DISTRIBUTED TRAINING WITH SPARSE UPDATES . in 2023 IEEE International Conference on Image Processing. IEEE International Conference on Image Processing, IEEE, IEEE, pp. 2395-2399, 2023 IEEE International Conference on Image Processing, Kuala Lumpur, Malaysia, 8/10/23 .

Bridging the knowledge gap in multigenic pathogenicity predictions: Leveraging integrated networks and machine learning to explain predictions in oligogenic diseases

Renaux, A 2023, ' Bridging the knowledge gap in multigenic pathogenicity predictions: Leveraging integrated networks and machine learning to explain predictions in oligogenic diseases ', Vrije Universiteit Brussel.

On incorporating prior knowledge about the decision maker in multi-objective reinforcement learning

Reymond, M 2023, ' On incorporating prior knowledge about the decision maker in multi-objective reinforcement learning ', Vrije Universiteit Brussel.

High-efficiency transmitters for 5G communication at mm-wave frequencies

Nguyen, JH-D 2023, ' High-efficiency transmitters for 5G communication at mm-wave frequencies ', Vrije Universiteit Brussel.

Unravelling textile-reinforced cementitious composites by means of multimodal sensing techniques

Ospitia, N 2023, ' Unravelling textile-reinforced cementitious composites by means of multimodal sensing techniques ', Vrije Universiteit Brussel.

GaN-on-Si technology for modern wireless communication systems: Optimisation insight using RF characterisation

ElKashlan, RY 2023, ' GaN-on-Si technology for modern wireless communication systems: Optimisation insight using RF characterisation ', Vrije Universiteit Brussel, Brussels.

Developing clinical decision support instruments for the point-of-care in low resource settings

Tegenaw, GS 2023, ' Developing clinical decision support instruments for the point-of-care in low resource settings ', Vrije Universiteit Brussel.

Virtual reality for gait rehabilitation: Effect and effectiveness of virtual reality and optic flow in a neurological population

De Keersmaecker, E 2023, ' Virtual reality for gait rehabilitation: Effect and effectiveness of virtual reality and optic flow in a neurological population '.

A Differential GaN Power Amplifier with <1° AM-PM Distortion for 5G mm-wave Applications

Yan, D , Park, S, zhang, Y , Peumans, D , Ingels, M & Wambacq, P 2023, A Differential GaN Power Amplifier with <1° AM-PM Distortion for 5G mm-wave Applications . in 18th European Microwave Integrated Circuits Conference: EuMIC 2023. 2023 18th European Microwave Integrated Circuits Conference, EuMIC 2023, IEEE, pp. 80-83, 18th European Microwave Integrated Circuits Conference, Berlin, Germany, 18/09/23 .

Distributional multi-objective decision making

Röpke, W , Hayes, CF, Mannion, P, Howley, E , Nowe, A & Roijers, DM 2023, Distributional multi-objective decision making . in Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence: Main Track. International Joint Conferences on Artificial Intelligence, pp. 5711–5719, 32nd International Joint Conference on Artificial Intelligence, Macao, China, 19/08/23 .

COVID-19 Lesion Segmentation Framework for the Contrast-Enhanced CT in the Absence of Contrast-Enhanced CT Annotations

Kvasnytsia, M , Berenguer, AD , Sahli, H & Vandemeulebroucke, J 2023, COVID-19 Lesion Segmentation Framework for the Contrast-Enhanced CT in the Absence of Contrast-Enhanced CT Annotations . in Z Xue, S Antani, G Zamzmi, F Yang, S Rajaraman, Z Liang, SX Huang & MG Linguraru (eds), Medical Image Learning with Limited and Noisy Data. vol. 14307, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14307 LNCS, Lecture Notes in Computer Science, Springer, pp. 71-81.

Dynamic Difficulty Adjustment in Serious Games for Cerebral Visual Impairment

Kostkova, K , Ben Ithzak, N, Stijnen, L, Ortibus, E & Jansen, B 2023, Dynamic Difficulty Adjustment in Serious Games for Cerebral Visual Impairment . in 11th International Conference on Serious Games and Applications for Health.

The Wisdom of Crowds: Temporal Progressive Attention for Early Action Prediction

Stergiou, A & Damen, D 2023, The Wisdom of Crowds: Temporal Progressive Attention for Early Action Prediction . in 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, pp. 14709-14719, IEEE/CVF Conference on Computer Vision and Pattern Recognition , Vancouver, British Columbia, Canada, 18/06/23 . < https://openaccess.thecvf.com/content/CVPR2023/html/Stergiou_The_Wisdom_of_Crowds_Temporal_Progressive_Attention_for_Early_Action_CVPR_2023_paper.html >

Uni-NLX: Unifying Textual Explanations for Vision and Vision-Language Tasks.

Sammani, F & Deligiannis, N 2023, Uni-NLX: Unifying Textual Explanations for Vision and Vision-Language Tasks. in VLAR, International Conference on Computer Vision Workshops (ICCVW) 2023. Workshop edn, vol. Workshop, IEEE, ICCV , pp. 1-4, VISION-AND-LANGUAGE ALGORITHMIC REASONING, ICCVW, Paris, France, 3/10/23 .

3D Anthropometric Measurement Extraction

Nourbakhsh Kaashki, N 2023, ' 3D Anthropometric Measurement Extraction ', Vrije Universiteit Brussel.

Serverless technologies and artificial intelligence for edge service management

Benedetti, P 2023, ' Serverless technologies and artificial intelligence for edge service management ', Vrije Universiteit Brussel.

Classification of breast cancer: in vitro microcalcification analysis in 3D micro-CT images

Brahimetaj, R 2023, ' Classification of breast cancer: in vitro microcalcification analysis in 3D micro-CT images ', Vrije Universiteit Brussel.

Calibration and postprocessing of Light Field and multi-camera depth systems

Bolsée, Q 2023, ' Calibration and postprocessing of Light Field and multi-camera depth systems ', Vrije Universiteit Brussel.

Guiding the exploration strategy of a reinforcement learning agent

Plisnier, H 2023, ' Guiding the exploration strategy of a reinforcement learning agent ', Vrije Universiteit Brussel.

Muscle Classification Via Hybrid CNN-LSTM Architecture from Surface EMG Signals

Velásquez Rendón, E , Omelina, L , Cornelis, JPH & Jansen, B 2023, Muscle Classification Via Hybrid CNN-LSTM Architecture from Surface EMG Signals . in 2023 24th International Conference on Digital Signal Processing. International Conference on Digital Signal Processing, DSP, vol. 2023-June, IEEE, 24th International Conference on Digital Signal Processing, Island of Rhodes, Greece, 11/06/23 .

Neurophysiological aspects of cognitive deterioration in multiple sclerosis

Baijot, J 2023, ' Neurophysiological aspects of cognitive deterioration in multiple sclerosis ', Doctor in Medical Sciences, Vrije Universiteit Brussel, Brussels.

PLL modulation and mixed-signal calibration techniques for FMCW chirp synthesis

Renukaswamy, P 2023, ' PLL modulation and mixed-signal calibration techniques for FMCW chirp synthesis ', Vrije Universiteit Brussel, Brussel.

KORD-I: A Framework for Real-Time Performance and Cost Optimization of Apache Spark Streaming

Kordelas, A , Spyrou, T, Voulgaris, S, Megalooikonomou, V & Deligiannis, N 2023, KORD-I: A Framework for Real-Time Performance and Cost Optimization of Apache Spark Streaming . in 2023 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS-23). pp. 1-3, 2023 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), Raleigh, North Carolina, United States, 23/04/23 .

Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization

Nunes Alegre, L , Bazzan, A , Roijers, DM , Nowe, A & C. da Silva, B 2023, Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization . in AAMAS ན: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems. The 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023), International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), pp. 2003–2012, The 22nd International Conference on Autonomous Agents and Multiagent Systems, London, United Kingdom, 29/05/23 .

Designing Transformer networks for sparse recovery of sequential data using deep unfolding

De Weerdt, B , Eldar, YC & Deligiannis, N 2023, Designing Transformer networks for sparse recovery of sequential data using deep unfolding . in 2023 IEEE International Conference on Acoustics, Speech and Signal Processing. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2023-June, IEEE, pp. 1-5, 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing, Rhodes, Greece, 4/06/23 .

PoseNormNet: Identity-preserved Posture Normalization of 3D Body Scans in Arbitrary Postures

Zhao, R , Dai, X , Hu, P & Munteanu, A 2023, ' PoseNormNet: Identity-preserved Posture Normalization of 3D Body Scans in Arbitrary Postures ', IEEE transactions on industrial informatics , vol. 19, no. 11, pp. 11298 - 11309.

Kinematic analysis of bony joint structures from dynamic computed tomography images: 4D CT for musculoskeletal applications

Keelson, B 2023, ' Kinematic analysis of bony joint structures from dynamic computed tomography images: 4D CT for musculoskeletal applications ', Doctor in Medical Sciences, Vrije Universiteit Brussel.

A Review of Deep Learning Methods for Automated Clinical Coding

Mahdi, SS , Deligiannis, N & Sahli, H 2023, A Review of Deep Learning Methods for Automated Clinical Coding . in IEEE ICCAE 2023 Conference. IEEE, pp. 1, IEEE ICCAE 2023 Conference, Sydney, New South Wales, Australia, 3/03/23 .

AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsampling

Stergiou, A & Poppe, R 2023, ' AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsampling ', IEEE Transactions on Image Processing , vol. 32, pp. 251-266.

Anet: A Deep Neural Network for Automatic 3D Anthropometric Measurement Extraction

Nourbakhsh Kaashki, N , Hu, P & Munteanu, A 2023, ' Anet: A Deep Neural Network for Automatic 3D Anthropometric Measurement Extraction ', IEEE Transactions on Multimedia , vol. 25, pp. 831-844.

 
2022 
Perception of Healthcare Providers on the Existing Patient Referral System and Recommendations on the Development of the Electronic Referral System in Rwanda: A Mixed Method Study

Kalume, ZZ , Nyssen, M , Jansen, B , Verbeke, F & Cornelis, JPH 2022 ' Perception of Healthcare Providers on the Existing Patient Referral System and Recommendations on the Development of the Electronic Referral System in Rwanda: A Mixed Method Study '.

A Deep-learning-based Approach to Automatically Measuring Foots from a 3D scan

Nourbakhsh Kaashki, N , Royen, RD , Dai, X , Hu, P & Munteanu, A 2022, A Deep-learning-based Approach to Automatically Measuring Foots from a 3D scan . in IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE). Proceedings of IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2022, IEEE, Gold Coast, Australia, pp. 1-5, 2022 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), 18/12/22 .

Radial diffusivity reflects general decline rather than specific cognitive deterioration in multiple sclerosis

Baijot, J , Van Laethem, D , Denissen, S , Costers, L , Cambron, M , D'Haeseleer, M , D'hooghe, MB , Vanbinst, A-M , De Mey, J , Nagels, G & Van Schependom, J 2022, ' Radial diffusivity reflects general decline rather than specific cognitive deterioration in multiple sclerosis ', Scientific Reports , vol. 12, no. 1, 21771.

Power Saving Techniques for Wearable Devices in Medical Applications

Gudisa, WT , da Silva, B , Hora, WJ & Stiens, J 2022, Power Saving Techniques for Wearable Devices in Medical Applications . in Power Saving Techniques for Wearable Devices in Medical Applications. IECON Proceedings (Industrial Electronics Conference), vol. 2022-October, IEEE, pp. 1-8, 48th Annual Conference of the IEEE Industrial Electronics Society, Brussels, Belgium, 17/10/22 .

Experiences with on-premise open source cloud infrastructure with network performance validation

Thielemans, S , De Smet, R , Benedetti, P, Reali, G , Braeken, A & Steenhaut, K 2022, Experiences with on-premise open source cloud infrastructure with network performance validation . in IECON 2022 - 48th Annual Conference of the IEEE Industrial Electronics Society. IECON Proceedings (Industrial Electronics Conference), vol. 2022-October, IEEE, 48th Annual Conference of the IEEE Industrial Electronics Society IECON 2022 , Brussels, Belgium, 17/10/22 .

A multi-cloud service mesh approach applied to Internet of Things

Gattobigio, L , Thielemans, S , Benedetti, P, Reali, G , Braeken, A & Steenhaut, K 2022, A multi-cloud service mesh approach applied to Internet of Things . in IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society. IECON Proceedings (Industrial Electronics Conference), vol. 2022-October, IEEE, 48th Annual Conference of the IEEE Industrial Electronics Society IECON 2022 , Brussels, Belgium, 17/10/22 .

Educational software-as-a-service based on JupyterHub and nbgrader running on Kubernetes

De Smet, R , Thielemans, S , Lemeire, J , Braeken, A & Steenhaut, K 2022, Educational software-as-a-service based on JupyterHub and nbgrader running on Kubernetes . in 2022 IEEE 9th International Conference on e-Learning in Industrial Electronics (ICELIE). Proceedings - 2022 9th IEEE International Conference on e-Learning in Industrial Electronics, ICELIE 2022, IEEE, 2022 IEEE 9th International Conference on e-Learning in Industrial Electronics, Brussels, Belgium, 17/10/22 .

Cognitive-motor telerehabilitation in multiple sclerosis (CoMoTeMS): study protocol for a randomised controlled trial

Van Laethem, D , Van de Steen, F , Kos, D , Naeyaert, M , Van Schuerbeek, P , Hatem, S , Schiltz, M , D'Haeseleer, M , D'Hooghe, MB , Van Schependom, J & Nagels, G 2022, ' Cognitive-motor telerehabilitation in multiple sclerosis (CoMoTeMS): study protocol for a randomised controlled trial ', Conference of the Royal Belgian Society of Physical and Rehabilitation Medicine 2022, Leuven, Belgium, 2/12/22 - 3/12/22 .

When Laplacian scale mixture meets three-layer transform: A parametric tensor sparsity for tensor completion

Xue, J, Zhao, Y, Bu, Y , Chan, JC-W & Kong, S 2022, ' When Laplacian scale mixture meets three-layer transform: A parametric tensor sparsity for tensor completion ', IEEE Transactions on Cybernetics , vol. 52, no. 12, pp. 13887-13901.

Reviewing machine learning of corrosion prediction in a data-oriented perspective

Vangrunderbeek, V , Bertolucci Coelho, L , Van Ingelgem, Y , Terryn, H , Nowe, A , Steckelmacher, D & Zhang, D 2022, Reviewing machine learning of corrosion prediction in a data-oriented perspective . in Reviewing machine learning of corrosion prediction in a data-oriented perspective. 1 edn, vol. 6, npj Materials Degradation, npj materials degradation, pp. 56-72, EurCorr 2022, Berlin, Germany, 28/08/22 .

A data-centric review on machine learning of corrosion prediction

Vangrunderbeek, V , Bertolucci Coelho, L , Van Ingelgem, Y , Terryn, H , Nowe, A , Steckelmacher, D & Zhang, D 2022, Reviewing machine learning of corrosion prediction in a data-oriented perspective . in Reviewing machine learning of corrosion prediction in a data-oriented perspective. 1 edn, vol. 6, npj Materials Degradation, npj materials degradation, pp. 56-72, EurCorr 2022, Berlin, Germany, 28/08/22 .

Artificial intelligence will change MS care within the next 10 years: No

De Vos, M & Van Schependom, J 2022, ' Artificial intelligence will change MS care within the next 10 years: No ', Multiple Sclerosis , vol. 28, no. 14, pp. 2173-2174.

The use of cardiac CT acquisition mode for dynamic musculoskeletal imaging

Keelson, B , Buzzatti, L , Van Gompel, G , Scheerlinck, T , Hereus, S , de Mey, J , Cattrysse, E , Vandemeulebroucke, J & Buls, N 2022, ' The use of cardiac CT acquisition mode for dynamic musculoskeletal imaging ', Physica Medica , vol. 104, pp. 75-84.

Downscaling ensemble climate projections to urban scale: Brussels's future climate at 1.5 °C, 2 °C, and 3 °C global warming

Duchêne, F, Hamdi, R, Van Schaeybroeck, B, Caluwaerts, S, De Troch, R , de Cruz, L & Termonia, P 2022, ' Downscaling ensemble climate projections to urban scale: Brussels's future climate at 1.5 °C, 2 °C, and 3 °C global warming ', Urban Climate , vol. 46, 101319.

Learned Gradient Compression for Distributed Deep Learning

Abrahamyan, L , Chen, Y , Bekoulis, I & Deligiannis, N 2022, ' Learned Gradient Compression for Distributed Deep Learning ', IEEE Transactions on Neural Networks and Learning Systems , vol. 33, no. 12, pp. 7330-7344.

Mining of Spatiotemporal Trajectory Profiles Derived from Mobility Data

Dhont, M , Tsiporkova, E & González-Deleito, N 2022, Mining of Spatiotemporal Trajectory Profiles Derived from Mobility Data . in KS Candan, TN Dinh, MT Thai & T Washio (eds), 2022 IEEE International Conference on Data Mining Workshops (ICDMW). IEEE International Conference on Data Mining Workshops, ICDMW, vol. 2022-November, IEEE Xplore, Orlando, FL, USA, pp. 1020-1028, 2022 IEEE International Conference on Data Mining Workshops, Orlando, Florida, United States, 28/11/22 .

Assessment of formats and completeness of paper-based referral letters among urban hospitals in Rwanda: a retrospective baseline study

Kalume, ZZ , Jansen, B , Nyssen, M , Cornelis, JPH & Verbeke, F 2022, ' Assessment of formats and completeness of paper-based referral letters among urban hospitals in Rwanda: a retrospective baseline study ', BMC Health Services Research , vol. 22, no. 1, 1436 .

Assessment of formats and completeness of paper-based referral letters among urban hospitals in Rwanda: a retrospective baseline study

Kalume, ZZ , Jansen, B , Nyssen, M , Cornelis, JPH & Verbeke, F 2022, ' Assessment of formats and completeness of paper-based referral letters among urban hospitals in Rwanda: a retrospective baseline study ', BMC Health Services Research , vol. 22, no. 1, 1436 .

A baseline study on the assessment and perception of structured referral letters among urban hospitals in Rwanda

Kalume, ZZ 2022, ' A baseline study on the assessment and perception of structured referral letters among urban hospitals in Rwanda ', Digital Health enabling Universal Health Coverage, Bujumbura, Burundi, 22/11/22 - 23/11/22 .

Forward-Looking SAR and The Road Towards Autonomous Everything

Albaba, A 2022, ' Forward-Looking SAR and The Road Towards Autonomous Everything ', IMEC PhD Day, Leuven, Belgium, 18/11/22 - 18/11/22 .

Impact of channel thickness scaling on the performance of GaN-on-Si RF HEMTs on highly C-doped GaN buffer

Alian, A, Rodriguez, R, Yadav, S, Peralagu, U, Sibaja-Hernandez, A, Putcha, V, Zhao, M, ElKashlan, R, Vermeersch, B, Yu, H, Bury, E, Khaled, A, Collaert, N & Parvais, B 2022, Impact of channel thickness scaling on the performance of GaN-on-Si RF HEMTs on highly C-doped GaN buffer . in ESSDERC 2022 - IEEE 52nd European Solid-State Device Research Conference (ESSDERC). European Solid-State Device Research Conference, vol. 2022-September, Institute of Electrical and Electronics Engineers Inc., pp. 384-387, IEEE 52nd European Solid-State Device Research Conference (ESSDERC), Milan, Italy, 19/09/22 .

Development of a 3D printed surgical guide for Brugada syndrome substrate ablation

Talevi, G , Pannone, L , Monaco, C , Bori, E , Cappello, IA , Candelari, M, Ramak, R , La Meir, M , Gharaviri, A , Chierchia, GB , Innocenti, B & de Asmundis, C 2022, ' Development of a 3D printed surgical guide for Brugada syndrome substrate ablation ', Frontiers in Cardiovascular Medicine , vol. 9, 1029685.

Hilbert transform-like hologram calculation via deep learning

Shimobaba, T, Hirahara, T, Shiomi, H , Blinder, D , Birnbaum, T , Wang, F, Kakue, T , Schelkens, P & Ito, T 2022, Hilbert transform-like hologram calculation via deep learning . in Hilbert transform-like hologram calculation via deep learning. 3DSA, pp. 1-2, 3DSA 2022, Online, Taiwan, Province of China, 24/11/22 .

Early detection of breast cancer based on high resolution 3D micro-CT microcalcification images

Brahimetaj, R , Jansen, B , Cornelis, JPH , Willekens, I , Massart, A , Forsyth, R & De Mey, J 2022, ' Early detection of breast cancer based on high resolution 3D micro-CT microcalcification images ', 20th National Day of Biomedical Engineering, Brussels, Belgium, 11/10/22 - 11/10/22 pp. 1.

Thesis Abstract: Communication In Multi-Objective Games

Röpke, W , Roijers, DM , Radulescu, R & Nowe, A 2022, Thesis Abstract: Communication In Multi-Objective Games . in BNAIC/BeNeLearn 2022. < https://bnaic2022.uantwerpen.be/wp-content/uploads/BNAICBeNeLearn_2022_submission_9757.pdf >

Deep ensemble with Neural Networks to model power-curve uncertainty

Perez Sanjines, FR , Verstraeten, T , Nowe, A & Helsen, J 2022, Deep ensemble with Neural Networks to model power-curve uncertainty . in Journal of Physics: Conference Series: EERA DeepWind Offshore Wind R&D Conference 19/01/2022 - 21/01/2022 Trondheim, Norway. 1 edn, vol. 2362, 012029, Journal of Physics: Conference Series, IOP Publishing, EERA DEEPWIND 2022, Trondheim, Norway, 19/01/22 .

Formal Verification of Efficiently Distilled RL Policies with Many-sided Guarantees

Delgrange, F , Nowe, A & Pérez, GA 2022, ' Formal Verification of Efficiently Distilled RL Policies with Many-sided Guarantees ', BNAIC/BeNeLearn 2022, Lamot Mechelen, Belgium, 7/11/22 - 9/11/22 .

Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision Processes: Encore Abstract

Delgrange, F , Nowe, A & Pérez, GA 2022, ' Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision Processes: Encore Abstract ', BNAIC/BeNeLearn 2022, Lamot Mechelen, Belgium, 7/11/22 - 9/11/22 .

Framework for Vehicle Make and Model Recognition—A New Large-Scale Dataset and an Efficient Two-Branch–Two-Stage Deep Learning Architecture

Yangxintong, L , Schiopu, I , Cornelis, B & Munteanu, A 2022, ' Framework for Vehicle Make and Model Recognition—A New Large-Scale Dataset and an Efficient Two-Branch–Two-Stage Deep Learning Architecture ', Sensors , vol. 22, no. 21, 8439, pp. 1-21.

A 120-140-GHz LNA in 250-nm InP HBT

Chauhan, V, Collaert, N & Wambacq, P 2022, ' A 120-140-GHz LNA in 250-nm InP HBT ', IEEE Microwave and Wireless Components Letters , vol. 32, no. 11, pp. 1315-1318.

NEURO-ONCOLOGICAL AUGMENTED REALITY: A MORE INTUITIVE APPROACH TO RESECTION PLANNING

Van Gestel, F , Frantz, T , Neuville, Q , Klein, S , Bruneau, M , Jansen, B , Scheerlinck, T , Vandemeulebroucke, J & Duerinck, J 2022, ' NEURO-ONCOLOGICAL AUGMENTED REALITY: A MORE INTUITIVE APPROACH TO RESECTION PLANNING ', Neuro-oncology , vol. 24, pp. 259-260.

Urumbu: Minimal Machine Building

Gershenfeld, N , Bolsée, Q & Hart, R 2022, Urumbu: Minimal Machine Building . in SN Spencer (ed.), Symposium on Computational Fabrication. , 33, Proceedings - SCF 2022 - 7th Annual ACM Symposium on Computational Fabrication, ACM, pp. 1-2, Symposium on Computational Fabrication 2022, Seattle, Washington, United States, 26/10/22 .

SVG-PCB: a web-based bidirectional electronics board editor

McElroy, L , Bolsée, Q , Peek, N & Gershenfeld, N 2022, SVG-PCB: a web-based bidirectional electronics board editor . in SN Spencer (ed.), Proceedings - SCF 2022 - 7th Annual ACM Symposium on Computational Fabrication. , 11, Proceedings - SCF 2022 - 7th Annual ACM Symposium on Computational Fabrication, ACM, pp. 1-9, Symposium on Computational Fabrication 2022, Seattle, Washington, United States, 26/10/22 .

The ‘Coronavirus disease of 2019’ is associated with disability worsening in patients with multiple sclerosis

Peeters, G , Van Remoortel, A , Nagels, G , Van Schependom, J & D'Haeseleer, M 2022, ' The ‘Coronavirus disease of 2019’ is associated with disability worsening in patients with multiple sclerosis ', 38th Congress of the European Committee for Treatment and Research in Multiple Sclerosis - ECTRIMS 2022, Amsterdam, Netherlands, 26/10/22 - 28/10/22 .

Automatic Foot Measurement Extraction from A 3D Point Cloud via a Deep Neural Network

Nourbakhsh Kaashki, N , Dai, X , Hu, P & Munteanu, A 2022, Automatic Foot Measurement Extraction from A 3D Point Cloud via a Deep Neural Network . in 3DBODY.TECH 2022 - 13th Int. Conf. and Exh. on 3D Body Scanning and Processing Technologies. 3DBody.Tech, pp. 47-51.

Representing and Learning Linguistic Structures on the Conceptual, Morpho-Syntactic and Semantic Level

Nevens, J 2022, ' Representing and Learning Linguistic Structures on the Conceptual, Morpho-Syntactic and Semantic Level ', Doctor of Sciences, Vrije Universiteit Brussel, Brussel.

Frequency Evaluation of the Xilinx DPU Towards Energy Efficiency

Vandendriessche, J , da Silva, B & Touhafi, A 2022, Frequency Evaluation of the Xilinx DPU Towards Energy Efficiency . in Frequency Evaluation of the Xilinx DPU Towards Energy Efficiency. IECON Proceedings (Industrial Electronics Conference), vol. 2022-October, IEEE Xplore, pp. 1-6, 48th Annual Conference of the IEEE Industrial Electronics Society, Brussels, Belgium, 17/10/22 .

Effect of the Transimpedance Amplifier Topology on the Photoplethysmography Signal

Sole Morillo, A , Lambert Cause, J , da Silva, B , Garcia-Naranjo, JC & Stiens, J 2022, Effect of the Transimpedance Amplifier Topology on the Photoplethysmography Signal . in Effect of the Transimpedance Amplifier Topology on the Photoplethysmography Signal. IECON Proceedings (Industrial Electronics Conference), vol. 2022-October, IEEE Xplore, pp. 1-7, 48th Annual Conference of the IEEE Industrial Electronics Society IECON 2022 , Brussels, Belgium, 17/10/22 .

Conditional Variational Graph Autoencoder for Air Pollution Forecasting

Rodrigo Bonet, E , Do Huu, T, Qin, X, Hofman, J, Panzica La Manna, V, Philips, W & Deligiannis, N 2022, Conditional Variational Graph Autoencoder for Air Pollution Forecasting . in 2022 30th European Signal Processing Conference (EUSIPCO). IEEE, pp. 1442-1446, 30th European Conference on Signal Processing, Belgrade, Serbia, 29/08/22 .

Computational Holography for 3D Television: Generation, Compression and Display Systems

Blinder, D , Birnbaum, T , Kizhakkumkara Muhamad, R & Schelkens, P 2022, Computational Holography for 3D Television: Generation, Compression and Display Systems . in Frontiers in Optics + Laser Science 2022. , FM5E.1, Optics InfoBase Conference Papers, Optica Publishing Group (formerly OSA): https://opg.optica.org/, Frontiers in Optics + Laser Science 2022, Rochester, New York, United States, 17/10/22 . < https://opg.optica.org/abstract.cfm?uri=FiO-2022-FM5E.1 >

A Building Block for Internet of Things Prototyping

Van Glabbeek, R , Hunde, E , Deac, D , Jemal, T , Tiberghien, J & Steenhaut, K 2022, A Building Block for Internet of Things Prototyping . in IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society . IECON Proceedings (Industrial Electronics Conference), vol. 2022-October, IEEE, pp. 1-6, 48th Annual Conference of the IEEE Industrial Electronics Society IECON 2022 , Brussels, Belgium, 17/10/22 .

Incremental Multi-view Clustering for Geo-referenced Time Series

Dhont, M , Tsiporkova, E & González-Deleito, N 2022, ' Incremental Multi-view Clustering for Geo-referenced Time Series '.

On Nash Equilibria in Normal-Form Games With Vectorial Payoffs

Röpke, W , Roijers, DM , Nowe, A & Radulescu, R 2022, ' On Nash Equilibria in Normal-Form Games With Vectorial Payoffs ', Autonomous Agents and Multi-Agent Systems , vol. 36, no. 2, 53.

Making Sense of ANPR Data via Intelligent Spatio-temporal Disaggregation of Traffic Flows

Dhont, M , Dhont, M , Tsiporkova, E, Gonzalez-Deleito, N & Cornelis, B 2022, Making Sense of ANPR Data via Intelligent Spatio-temporal Disaggregation of Traffic Flows . in 2022 IEEE 25th International Conference on Intelligent Transportation Systems, ITSC 2022. 2022 IEEE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), IEEE Xplore, Macau, China, pp. 1433-1439, IEEE 25th international conference on intelligent transportation Systems, Macao, China, 8/10/22 .

Non-parametric ODE-Based Disease Progression Model of Brain Biomarkers in Alzheimer’s Disease

Bossa, M , Berenguer, AD & Sahli, H 2022, Non-parametric ODE-Based Disease Progression Model of Brain Biomarkers in Alzheimer’s Disease . in A Abdulkadir, DR Bathula, NC Dvornek, M Habes, SM Kia, V Kumar & T Wolfers (eds), International Workshop on Machine Learning in Clinical Neuroimaging: 5th International Workshop, MLCN 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. vol. 13596, Lecture Notes in Computer Science, vol. 13596, Springer Nature Switzerland AG, pp. 95-103.

Accelerated brain volume loss in patients with multiple sclerosis: do real-world observations align with standardized research findings?

Temmerman, J , Van Remoortel, A , Wittens, MMJ , D'Hooghe, MB , Nagels, G , Pauwels, A , Smeets, D , Van Schependom, J , Bjerke, M , Engelborghs, S & D'Haeseleer, M 2022, ' Accelerated brain volume loss in patients with multiple sclerosis: do real-world observations align with standardized research findings? ', 38th Congress of the European Committee for Treatment and Research in Multiple Sclerosis - ECTRIMS 2022, Amsterdam, Netherlands, 26/10/22 - 28/10/22 .

Plasma glial fibrillary acidic protein and neurofilament light chain in relation to disability worsening in multiple sclerosis

Pauwels, A , Van Schependom, J , Devolder, L, Van Remoortel, A , Nagels, G , Bjerke, M & D'hooghe, MB 2022, ' Plasma glial fibrillary acidic protein and neurofilament light chain in relation to disability worsening in multiple sclerosis ', Multiple Sclerosis , vol. 28, no. 11, pp. 1685-1696.

Linking the elastic, electromagnetic and thermal properties of fresh cement

Ospitia, N , Pourkazemi, A , Tsangouri, E , Angelis, D & Stiens, J 2022, ' Linking the elastic, electromagnetic and thermal properties of fresh cement ', NDT & E International , vol. 131, 102704, pp. 1-9.

Flexible and Efficient Security Framework for Many-to-Many Communication in a Publish/Subscribe Architecture

Van Glabbeek, R , Deac, D , Perale, T , Steenhaut, K & Braeken, A 2022, ' Flexible and Efficient Security Framework for Many-to-Many Communication in a Publish/Subscribe Architecture ', Sensors , vol. 22, no. 19, 7391.

Brain age as a surrogate marker for cognitive performance in multiple sclerosis

Denissen, S , Engemann, DA, De Cock, A , Costers, L , Baijot, J , Laton, J , Penner, I-K, Grothe, M, Kirsch, M , D'hooghe, MB , D'Haeseleer, M , Dive, D , De Mey, J , Van Schependom, J , Sima, DM & Nagels, G 2022, ' Brain age as a surrogate marker for cognitive performance in multiple sclerosis ', European Journal of Neurology , vol. 29, no. 10, pp. 3039-3049.

Theoretical Angular Resolution of Forward-Looking MIMO-SAR Systems

Albaba, A , Pollin, S , Wambacq, P , Sahli, H & Bourdoux, A 2022, Theoretical Angular Resolution of Forward-Looking MIMO-SAR Systems . in 2022 19th European Radar Conference (EuRAD). 2022 19th European Radar Conference, EuRAD 2022, IEEE, pp. 53-56.

Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning

Reymond, M , Hayes, CF, Willem, L , Radulescu, R , Abrams , S , Roijers, DM , Howley, E, Mannion, P, Hens, N , Nowe, A & Libin, P 2022, ' Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning ', 21st European Conference on Computational Biology, Sitges, Spain, 18/09/22 - 21/09/22 .

A 28nm 6.5-8.1GHz 1.16mW/qubit Cryo-CMOS System-on-Chip for Superconducting Qubit Readout

Winckel, SV , Caglar, A , Gys, B, Brebels, S, Potocnik, A , Parvais, B , Wambacq, P & Craninckx, J 2022, A 28nm 6.5-8.1GHz 1.16mW/qubit Cryo-CMOS System-on-Chip for Superconducting Qubit Readout . in ESSCIRC 2022- IEEE 48th European Solid State Circuits Conference (ESSCIRC). ESSCIRC 2022 - IEEE 48th European Solid State Circuits Conference, Proceedings, IEEE, pp. 61-64, ESSCIRC 2022- IEEE 48th European Solid State Circuits Conference (ESSCIRC), 19/09/22 .

Strategies for data-driven low carbon structural design.

Fenton, SK , De Rycke, K , Munteanu, A , Deligiannis, N , Rufat, S & De Laet, L 2022, ' Strategies for data-driven low carbon structural design. ', Conference Proceedings of IASS/APCS 2022 , vol. 2022, 2864, pp. 2895-2906.

Temperature analysis of 3D-printed biomaterials during unipolar and bipolar radiofrequency ablation procedure

Cappello, IA , Candelari, M , Pannone, L , Monaco, C , Bori, E , Talevi, G , Ramak, R , La Meir, M , Gharaviri, A , Chierchia, GB , Innocenti, B & de Asmundis, C 2022, ' Temperature analysis of 3D-printed biomaterials during unipolar and bipolar radiofrequency ablation procedure ', Frontiers in Cardiovascular Medicine , vol. 9, 978333.

Temperature analysis of 3D-printed biomaterials during unipolar and bipolar radiofrequency ablation procedure

Cappello, IA , Candelari, M , Pannone, L , Monaco, C , Bori, E , Talevi, G , Ramak, R , La Meir, M , Gharaviri, A , Chierchia, GB , Innocenti, B & de Asmundis, C 2022, ' Temperature analysis of 3D-printed biomaterials during unipolar and bipolar radiofrequency ablation procedure ', Frontiers in Cardiovascular Medicine , vol. 9, 978333.

Cognitive-motor telerehabilitation in multiple sclerosis (CoMoTeMS): study protocol for a randomised controlled trial

Van Laethem, D , Van de Steen, F , Kos, D , Naeyaert, M , Van Schuerbeek, P , D'Haeseleer, M , D'Hooghe, MB , Van Schependom, J & Nagels, G 2022, ' Cognitive-motor telerehabilitation in multiple sclerosis (CoMoTeMS): study protocol for a randomised controlled trial ', Trials , vol. 23, no. 1, 778, pp. 1-10.

Bending Monitoring of TRC Sandwich Beams by Means of Multimodal NDTs

Ospitia, N , Pourkazemi, A , Tsangouri, E , Stiens, J & Angelis, D 2022, Bending Monitoring of TRC Sandwich Beams by Means of Multimodal NDTs . in International Conference on Regeneration and Conservation of Structures (ICRCS 2022). RILEM, pp. 1-4, International Conference on Regeneration and Conservation of Structures (ICRCS 2022), Kyoto, Japan, 7/09/22 .

Quality evaluation of the JPEG Pleno Holography Call for Proposals response

Prazeres, J, Gilles, A , Kizhakkumkara Muhamad, R , Birnbaum, T , Schelkens, P & Pinheiro, AMG 2022, Quality evaluation of the JPEG Pleno Holography Call for Proposals response . in 2022 14th International Conference on Quality of Multimedia Experience (QoMEX). 2022 14th International Conference on Quality of Multimedia Experience, QoMEX 2022, IEEE, pp. 1-6, Qomex conference 2022, Lippstadt, Germany, 5/09/22 .

Fluid Management, Intra-Abdominal Hypertension and the Abdominal Compartment Syndrome: A Narrative Review

Jacobs, R, Wise, R, Myatchin, I , Vanhonacker, D , Minini, A , Mekeirele, MMM , Kirkpatrick, AW, Pereira, B, Sugrue, M, De Keulenaer, B, Bodnar, Z, Acosta, S, Ejike, JC , Tayebi, S , Stiens, J , Cordemans, C, van Regenmortel, N, Elbers, PWG, Monnet, X, Wong, A, Dabrowski, W, Jorens, PG, De Waele, J, Roberts, DJ, Kimball, EJ, Reintam Blaser, A & Malbrain, M 2022, ' Fluid Management, Intra-Abdominal Hypertension and the Abdominal Compartment Syndrome: A Narrative Review ', Life , vol. 12, no. 9, 1390.

Neuro-oncological augmented reality planning (NOA-p)

Van Gestel, F , Frantz, T , Neuville, Q , Klein, S , Bruneau, M , Jansen, B , Scheerlinck, T , Vandemeulebroucke, J & Duerinck, J 2022, ' Neuro-oncological augmented reality planning (NOA-p) ', Neuro-oncology , vol. 24, no. 2, pp. ii39–ii40.

JPEG Status and Progress Report 2022

Foessel, S, Ascenso, J, Da Silva Cruz, LA, Ebrahimi, T, Lemieux, PA, Pagliari, C, Pinheiro, A, Sneyers, J & Temmermans, F 2022, ' JPEG Status and Progress Report 2022 ', SMPTE Motion Imaging Journal , vol. 131, no. 8, pp. 111-119.

Designing CNNs for Multimodal Image Restoration and Fusion via Unfolding the Method of Multipliers

Marivani, I , Tsiligianni, E , Cornelis, B & Deligiannis, N 2022, ' Designing CNNs for Multimodal Image Restoration and Fusion via Unfolding the Method of Multipliers ', IEEE Transactions on Circuits and Systems for Video Technology , vol. 32, no. 9, pp. 5830-5845.

Evaluating COVID-19 vaccine allocation policies using Bayesian m-top exploration

Cimpean, IA , Willem, L , Verstraeten, T , Hens, N , Nowe, A & Libin, P 2022, ' Evaluating COVID-19 vaccine allocation policies using Bayesian m-top exploration ', 21st European Conference on Computational Biology, Sitges, Spain, 18/09/22 - 21/09/22 .

A deep boosted transfer learning method for wind turbine gearbox fault detection

Jamil, F , Verstraeten, T , Nowé, A , Peeters, C & Helsen, J 2022, ' A deep boosted transfer learning method for wind turbine gearbox fault detection ', Renewable Energy , vol. 197, pp. 331-341.

Channel Thickness Impact on the Small- and Large-Signal RF Performance of GaN HEMTs on Si with a cGaN Back-Barrier

ElKashlan, R, Khaled, A, Rodriguez, R, Yadav, S, Peralagu, U, Alian, A, Collaert, N , Wambacq, P & Parvais, B 2022, Channel Thickness Impact on the Small- and Large-Signal RF Performance of GaN HEMTs on Si with a cGaN Back-Barrier . in 2022 IEEE/MTT-S International Microwave Symposium - IMS 2022. Institute of Electrical and Electronics Engineers Inc., Denver, CO, USA, pp. 910-913, Microwave, MTT-S International Symposium, Denver, Colorado, United States, 19/06/22 .

Traffic Aware Scheduler for Time-Slotted Channel-Hopping-Based IPv6 Wireless Sensor Networks

Deac, D , Hunde, E , Van Glabbeek, R , Dobrota, V , Braeken, A & Steenhaut, K 2022, ' Traffic Aware Scheduler for Time-Slotted Channel-Hopping-Based IPv6 Wireless Sensor Networks ', Sensors , vol. 22, no. 17, 6397, pp. 1-24.

Fast initialization of control parameters using supervised learning on data from similar assets

Willems, J, Eryilmaz, K , Steckelmacher, D , Depraetere, B, Beck, R, Bey-Temsamani, A , Helsen, J & Nowe, A 2022, Fast initialization of control parameters using supervised learning on data from similar assets . in 2022 IEEE Conference on Control Technology and Applications, CCTA 2022. , ThA7.5, 2022 IEEE Conference on Control Technology and Applications, CCTA 2022, IEEE, pp. 1214-1221, 2022 IEEE Conference on Control Technology and Applications (CCTA), Trieste, Italy, 23/08/22 .

Author Correction: Reviewing machine learning of corrosion prediction in a data-oriented perspective (vol 6, 8, 2022)

Coelho, LB , Zhang, D , Van Ingelgem, Y , Steckelmacher, D , Nowe, A & Terryn, H 2022, Author Correction: Reviewing machine learning of corrosion prediction in a data-oriented perspective (vol 6, 8, 2022) ..

Analysis of low resource setting referral pathways to improve coordination and evidence-based services for maternal and child health in Ethiopia

Tegenaw, GS , Amenu, D, Ketema, G , Verbeke, F , Jan, C & Jansen, B 2022, ' Analysis of low resource setting referral pathways to improve coordination and evidence-based services for maternal and child health in Ethiopia ', PLoS ONE , vol. 17, no. 8, e0273436.

Evaluation of Fast Sample Entropy Algorithms on FPGAs: From Performance to Energy Efficiency

Chen, C , da Silva, B , Chen, R, Li, S, Li, J & Liu, C 2022, ' Evaluation of Fast Sample Entropy Algorithms on FPGAs: From Performance to Energy Efficiency ', Entropy , vol. 24, no. 9, 1177, pp. 1-19.

Combination of Milimeter Wave Spectroscopy, Ultrasonic Testing Techniques to Monitor Curing Evolution of TRC Plates

Ospitia, N , Pourkazemi, A , Tsangouri, E , Azzam, H , Stiens, J & Angelis, D 2022, Combination of Milimeter Wave Spectroscopy, Ultrasonic Testing Techniques to Monitor Curing Evolution of TRC Plates . in Physical Sciences forum, 2022, ICEM 2022. 1 edn, vol. 4, 17, MDPI AG, pp. 1-6, 19th International Conference on Experimental Mechanics, Kraków, Poland, 17/07/22 .

Correlates of patient-reported cognitive performance with regard to disability

Van Laethem, D , De Cock, A , Van Schependom, J , Benedict, RHB , Nagels, G & D'hooghe, M 2022, ' Correlates of patient-reported cognitive performance with regard to disability ', Scientific Reports , vol. 12, no. 1, 13489.

Whole-body MRI in oncology: can a single anatomic T2 Dixon sequence replace the combination of T1 and STIR sequences to detect skeletal metastasis and myeloma?

Chiabai, O, Van Nieuwenhove, S, Vekemans, M-C, Tombal, B, Peeters, F , Wuts, J , Triqueneaux, P, Omoumi, P, Kirchgesner, T, Michoux, N & Lecouvet, FE 2022, ' Whole-body MRI in oncology: can a single anatomic T2 Dixon sequence replace the combination of T1 and STIR sequences to detect skeletal metastasis and myeloma? ', European Radiology , vol. 33, no. 1, pp. 244-257.

A Stacked Segmented Adaptive Power Amplifier in 22nm FD-SOI

Banerjee, A, van Liempd, B & Wambacq, P 2022, ' A Stacked Segmented Adaptive Power Amplifier in 22nm FD-SOI ', IEEE Microwave and Wireless Components Letters , vol. 32, no. 8, pp. 983-986.

Unwanted Scene Replications in DHs for Display

Birnbaum, T , Blinder, D & Schelkens, P 2022, Unwanted Scene Replications in DHs for Display . in Unwanted Scene Replications in DHs for Display. , Th4A.4, Optics InfoBase Conference Papers, Optical Society of America, OSA Digital Holography and 3-D Imaging, Cambridge, United Kingdom, 1/08/22 . < https://opg.optica.org/abstract.cfm?uri=DH-2022-Th4A.4 >

INTERFERE: A Unified Compression Framework for Digital Holography

Kizhakkumkara Muhamad, R , Birnbaum, T , Blinder, D , Schretter, C & Schelkens, P 2022, INTERFERE: A Unified Compression Framework for Digital Holography . in INTERFERE: A Unified Compression Framework for Digital Holography. , Th4A.2, Optics InfoBase Conference Papers, Optical Society of America, OSA Digital Holography and 3-D Imaging, Cambridge, United Kingdom, 1/08/22 .

An Illumination-Invariant Shadow-Based Scene Matching Navigation Approach in Low-Altitude Flight

Wang, H, Cheng, Y, Liu, N, zhao, Y , Chan, JC-W & Li, Z 2022, ' An Illumination-Invariant Shadow-Based Scene Matching Navigation Approach in Low-Altitude Flight ', Remote Sensing , vol. 14, no. 16, 3869.

Pre-Clinical Validation of A Novel Continuous Intra-Abdominal Pressure Measurement Equipment (SERENNO)

Tayebi, S , Wise, R , Pourkazemi, A , Stiens, J & Malbrain, M 2022, ' Pre-Clinical Validation of A Novel Continuous Intra-Abdominal Pressure Measurement Equipment (SERENNO) ', Life , vol. 12, no. 8, 1161.

Preference Communication in Multi-Objective Normal-Form Games

Röpke, W , Roijers, DM , Nowe, A & Radulescu, R 2022, ' Preference Communication in Multi-Objective Normal-Form Games ', Neural Computing & Applications , vol. 2022.

Towards optimizing neural networks' connectivity and architecture simultaneously with feature selection

Papavasileiou, E , Cornelis, JPH & Jansen, B 2022, Towards optimizing neural networks' connectivity and architecture simultaneously with feature selection . in GECCO དྷ: Proceedings of the Genetic and Evolutionary Computation Conference Companion. pp. 667-670.

Variable-intensity line 3D images drawn using kinoform-type electroholography superimposed with phase error

Nishitsuji, T, Shiina, N , Blinder, D , Shimobaba, T, Kakue, T , Schelkens, P , Ito, T & Asaka, T 2022, ' Variable-intensity line 3D images drawn using kinoform-type electroholography superimposed with phase error ', Optics Express , vol. 30, no. 15, pp. 27884-27902.

Safe reinforcement learning for multi-energy management systems with known constraint functions.

Ceusters, G , Camargo, LR, Franke, R , Nowé, A & Messagie, M 2022 ' Safe reinforcement learning for multi-energy management systems with known constraint functions. ' ArXiv.

Imagine alternative future(s) of the Belgian development cooperation

Moreno Cely, A , Vitantonio, C, Escobar-Vasquez, C , Lafaut, D , Sahli, H , Mugenyi, KJ, Mancilla Garcia, M, Nakabanda, N & Vanwing, T 2022, Imagine alternative future(s) of the Belgian development cooperation ..

Binary hologram compression using context based Bayesian tree models with adaptive spatial segmentation

Muhamad, RK , Birnbaum, T , Blinder, D , Schretter, C & Schelkens, P 2022, ' Binary hologram compression using context based Bayesian tree models with adaptive spatial segmentation ', Optics Express , vol. 30, no. 14, pp. 25597-25611.

Representation Learning with Information Theory for COVID-19 Detection

Diaz Berenguer, A , Mukherjee, T , Bossa Bossa, MN , Deligiannis, N & Sahli, H 2022, ' Representation Learning with Information Theory for COVID-19 Detection ', ArXiv.org , vol. 2022, pp. 1-10.

A Novel Approach to Non-Destructive Rubber Vulcanization Monitoring by the Transient Radar Method

Tayebi, S , Pourkazemi, A , Ospitia, N , Thibaut, K , Kamami, O & Stiens, J 2022, ' A Novel Approach to Non-Destructive Rubber Vulcanization Monitoring by the Transient Radar Method ', Sensors (Basel, Switzerland) , vol. 22, no. 13, 5010, pp. 1-13.

A 950 MHz Clock 47.5 MHz BW 4.7 mW 67 dB SNDR Discrete Time Delta Sigma ADC Leveraging Ring Amplification and Split-Source Comparator Based Quantizer in 28 nm CMOS

Moura Santana, L, Martens, E, Lagos Benites, JL, Hershberg, B , Wambacq, P & Craninckx, J 2022, ' A 950 MHz Clock 47.5 MHz BW 4.7 mW 67 dB SNDR Discrete Time Delta Sigma ADC Leveraging Ring Amplification and Split-Source Comparator Based Quantizer in 28 nm CMOS ', IEEE JOURNAL OF SOLID-STATE CIRCUITS , vol. 57, no. 7, pp. 2068-2077.

A D-Band Low-Power and High-Efficiency Frequency Multiply-by-9 FMCW Radar Transmitter in 28-nm CMOS

Park, S, Park, D-W, Vaesen, K, Kankuppe, A, Sinha, S, van Liempd, B , Wambacq, P & Craninckx, J 2022, ' A D-Band Low-Power and High-Efficiency Frequency Multiply-by-9 FMCW Radar Transmitter in 28-nm CMOS ', IEEE Journal of Solid-State Circuits , vol. 57, no. 7, pp. 2114-2129.

Design and Analysis of 55-63-GHz Fundamental Quad-Core VCO With NMOS-Only Stacked Oscillator in 28-nm CMOS

Balamurali, S , Mangraviti, G , Tsai, C-H , Wambacq, P & Craninckx, J 2022, ' Design and Analysis of 55-63-GHz Fundamental Quad-Core VCO With NMOS-Only Stacked Oscillator in 28-nm CMOS ', IEEE Journal of Solid State Circuits , vol. 57, no. 7, pp. 1997-2010.

A 67-mW D-Band FMCW I/Q Radar Receiver With an N-Path Spillover Notch Filter in 28-nm CMOS

Kankuppe Raghavendra Swamy, A, Park, S, Vaesen, K, Park, D-W, van Liempd, B, Sinha, S , Wambacq, P & Craninckx, J 2022, ' A 67-mW D-Band FMCW I/Q Radar Receiver With an N-Path Spillover Notch Filter in 28-nm CMOS ', IEEE JOURNAL OF SOLID-STATE CIRCUITS , vol. 57, no. 7, pp. 1982-1996.

Multimodal NDT monitoring of Textile Reinforced Cementitious Composite Sandwich beams in bending

Ospitia, N , Tsangouri, E , Pourkazemi, A , Stiens, J & Angelis, D 2022, Multimodal NDT monitoring of Textile Reinforced Cementitious Composite Sandwich beams in bending . in Proceedings of the 20th European Conference on Composite Materials. pp. 1-8, 20th European Conference on Composite Materials, 26/06/22 .

Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision Processes

Delgrange, F , Nowé, A & Pérez, GA 2022, Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision Processes . in Proceedings of the AAAI Conference on Artificial Intelligence: Vol. 36 No. 6: AAAI-22 Technical Tracks 6. First edn, vol. 36, Proceedings of the AAAI Conference on Artificial Intelligence, no. 6, vol. 36, AAAI Press, Palo Alto, California USA, pp. 6497-6505, 36th AAAI Conference on Artificial Intelligence, 22/02/22 .

Deep Denoising for Multiview Depth Cameras

Bolsée, Q , Denis, L , Darwish, WAA , Nourbakhsh Kaashki, N & Munteanu, A 2022, ' Deep Denoising for Multiview Depth Cameras ', IEEE Transactions on Instrumentation and measurement , vol. 71, 2512312, pp. 1-12.

Power Saving Techniques for Wearable Devices

Gudisa, WT , da Silva, B , Stiens, J & Hora, WJ 2022, ' Power Saving Techniques for Wearable Devices ', Power Saving Techniques for Wearable Medical Devices, Jimma, Ethiopia, 19/06/22 - 25/06/22 pp. 1-14.

Combined assessment of blood flow and tissue perfusion in diabetic feet using intra-arterial 4D contrast CT angiography and perfusion

Boonen, P , Buls, N , Vandemeulebroucke, J , Van Gompel, G , Van Den Bergh, F , Aerden, D & De Mey, J 2022, ' Combined assessment of blood flow and tissue perfusion in diabetic feet using intra-arterial 4D contrast CT angiography and perfusion ', Journal of Vascular and Interventional Radiology , vol. 33, no. 6, 368, pp. S168-S168.

Fleet-based early fault detection of wind turbine gearboxes using physics-informed deep learning based on cyclic spectral coherence

Perez Sanjines, FR , Jan Helsen & Nowe, A 2022, ' Fleet-based early fault detection of wind turbine gearboxes using physics-informed deep learning based on cyclic spectral coherence ', AI Flanders Research Days 2022, Leuven, Belgium, 21/06/22 - 21/06/22 .

Strategies for data-driven low carbon structural design.

Fenton, SK , De Rycke, K , Munteanu, A , Deligiannis, N , Rufat, S & De Laet, L 2022, ' Strategies for data-driven low carbon structural design. ', FUTURE OF CONSTRUCTION, ZURICH, Switzerland, 22/06/22 - 24/06/22 .

Visualizing and Understanding Self-Supervised Vision Learning

Sammani, F , Joukovsky, B & Deligiannis, N 2022, ' Visualizing and Understanding Self-Supervised Vision Learning ', ArXiv.org .

Unraveling the contact force impact on the complex multi-wavelength PPG signal morphology at different vascular depths.

Lambert Cause, J , Sole Morillo, A , da Silva, B , Stiens, J & Garcia-Naranjo, JC 2022, ' Unraveling the contact force impact on the complex multi-wavelength PPG signal morphology at different vascular depths. ', World Congress on Medical Physics and Biomedical Engineering, Singapore, Singapore, 12/06/22 - 17/06/22 pp. 174-175.

CMOS MM-wave/sub-THZ Low Power and high-efficiency Transmitters for frequency-modulated continuous-wave Radars

Park, S 2022, ' CMOS MM-wave/sub-THZ Low Power and high-efficiency Transmitters for frequency-modulated continuous-wave Radars ', Doctor of Engineering Sciences.

DEEP UNFOLDING DESIGNS FOR MULTIMODAL IMAGE RESTORATION AND FUSION

Marivani, I 2022, ' DEEP UNFOLDING DESIGNS FOR MULTIMODAL IMAGE RESTORATION AND FUSION ', Doctor of Engineering Sciences, Vrije Universiteit Brussel.

A Framework for Flexibly Guiding Learning Agents (poster)

Elbarbari, MAHM 2022, ' A Framework for Flexibly Guiding Learning Agents (poster) ', AI Flanders VUB poster session, Brussels, Belgium, 10/06/22 .

The state-of-the-art in computer generated holography for 3D display

Blinder, D , Birnbaum, T , Ito, T & Shimobaba, T 2022, ' The state-of-the-art in computer generated holography for 3D display ', Light: Advanced Manufacturing , vol. 3, no. 3, 35, pp. 572-600.

A Framework for Flexibly Guiding Learning Agents

Elbarbari, MAHM , Delgrange, F , Vervlimmeren, I , Efthymiadis, K , Vanderborght, B & Nowe, A 2022, ' A Framework for Flexibly Guiding Learning Agents ', Neural Computing & Applications , vol. 2022, 1, pp. 1-17.

Design approaches for executable clinical pathways at the point of care in limited resource settings to support the clinical decision process: review of the state of the art

Tegenaw, GS , Amenu, D, Ketema, G , Verbeke, F , Jan, C & Jansen, B 2022, Design approaches for executable clinical pathways at the point of care in limited resource settings to support the clinical decision process: review of the state of the art . in X Gao, A Jamalipour & L Guo (eds), 10th EAI International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies". vol. 440, Springer, Cham, pp. 186–203, EAI MobiHealth 2021 - 10th EAI International Conference on Wireless Mobile Communication and Healthcare, Chongqing, China, 13/11/21 .

A hybrid approach for designing dynamic and data-driven clinical pathways point of care instruments in low resource settings

Tegenaw, GS , Amenu, D, Ketema, G , Verbeke, F , Jan, C & Jansen, B 2022, A hybrid approach for designing dynamic and data-driven clinical pathways point of care instruments in low resource settings . in P Otero, P Scott, SZ Martin & E Huesing (eds), MedInfo 2021: One World, One Health: Global Partnership for Digital Innovation. MEDINFO 2021 edn, vol. 290, Studies in Health Technology and Informatics, no. 316 - 320, vol. 290, Studies in Health Technology and Informatics, pp. 316-320, Medinfo 2021 One World, One Health: Global Partnership for Digital Innovation , 2/10/20 .

Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision

Delgrange, F , Nowe, A & Pérez, GA 2022, ' Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision ', Belgium-Netherlands workshop on Reinforcement Learning 2022, Leiden, Netherlands, 3/06/22 - 3/06/22 .

The detection of generator bearing failures on wind turbines using machine learning based anomaly detection

Chesterman, X , Verstraeten, T , Daems, P-J , Perez Sanjines, FR , Nowe, A & Helsen, J 2022, The detection of generator bearing failures on wind turbines using machine learning based anomaly detection . in Journal of Physics Conference Series . 3 edn, vol. 2265, Journal of Physics: Conference Series, IOP Publishing, TORQUE 2022, Delft, Netherlands, 1/06/22 .

Fine-Grained Urban Air Quality Mapping from Sparse Mobile Air Pollution Measurements and Dense Traffic density

Qin, X, Do Huu, T, Hofman, J , Rodrigo Bonet, E , Panzica La Manna, V , Deligiannis, N & Philips, W 2022, ' Fine-Grained Urban Air Quality Mapping from Sparse Mobile Air Pollution Measurements and Dense Traffic density ', Remote Sensing , vol. 14, no. 11, 2613.

NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks

Sammani, F , Mukherjee, T & Deligiannis, N 2022, NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks . in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2022-June, IEEE, pp. 8322-8332, 2022 Conference on Computer Vision and Pattern Recognition, New Orleans, United States, 19/06/22 .

EU-China university governance structures—case studies

Xue, Y , Cornelis, J & Zhu, C 2022, ' EU-China university governance structures—case studies ', Asia Europe Journal , vol. 20, no. 2, pp. 137-171.

Computer-aided detection and segmentation of malignant melanoma lesions on whole-body 18F-FDG PET/CT using an interpretable deep learning approach

Dirks, I , Keyaerts, M , Neyns, B & Vandemeulebroucke, J 2022, ' Computer-aided detection and segmentation of malignant melanoma lesions on whole-body 18F-FDG PET/CT using an interpretable deep learning approach ', Computer Methods and Programs in Biomedicine , vol. 221, 106902.

Monitoring Platform Evolution towards Serverless Computing for 5G and Beyond Systems

Pergolesi, M, Perez, R, Benedetti, P, Garcia-Reinoso, J, Zabala, A, Serrano, P, Femminella, M, Reali, G , Steenhaut, K & Banchs, A 2022, ' Monitoring Platform Evolution towards Serverless Computing for 5G and Beyond Systems ', IEEE eTransactions on network and service management , vol. 19, no. 2, pp. 1489-1504.

ADVANCES IN GROUPWISE IMAGE REGISTRATION

Polfliet, M 2022, ' ADVANCES IN GROUPWISE IMAGE REGISTRATION ', Doctor of Engineering Sciences, Vrije Universiteit Brussel.

Performance Profiling of Operating Modes via Multi-view Analysis Using Non-negative Matrix Factorisation

Dhont, M , Tsiporkova, E & Boeva, V 2022, Performance Profiling of Operating Modes via Multi-view Analysis Using Non-negative Matrix Factorisation . in Studies in Big Data. Studies in Big Data, vol. 106, Springer, pp. 289-316.

Media security framework inspired by emerging challenges in fake media and NFT

Temmermans, F , Bhowmik, D, Pereira, F & Ebrahimi, T 2022, Media security framework inspired by emerging challenges in fake media and NFT . in P Schelkens & T Kozacki (eds), Optics, Photonics and Digital Technologies for Imaging Applications VII. vol. 12138, 121380P, Proceedings of SPIE - The International Society for Optical Engineering, vol. 12138, SPIE Photonics Europe, 2022, Strasbourg, France, 3/04/22 .

Definition of Common Test Conditions for the new JPEG Pleno holography standard

Pinheiro, AMG, Prazeres, J, Gilles, A , Kizhakkumkara Muhamad, R , Birnbaum, T & Schelkens, P 2022, Definition of Common Test Conditions for the new JPEG Pleno holography standard . in P Schelkens & T Kozacki (eds), Proceedings of SPIE Photonics Europe. , 121380N, Proceedings of SPIE, SPIE, pp. 301-315, SPIE Photonics Europe 2022, Strasbourg, France, 3/04/22 .

Automatic and Fast Extraction of 3D Hand Measurements using a Deep Neural Network

Nourbakhsh Kaashki, N , Dai, X , Hu, P & Munteanu, A 2022, Automatic and Fast Extraction of 3D Hand Measurements using a Deep Neural Network . in 2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). Conference Record - IEEE Instrumentation and Measurement Technology Conference, IEEE, pp. 1-6.

Dynamic Imputation Methodology for Multi-source Streaming Mobility Data

Dhont, M , Tsiporkova, E & González-Deleito, N 2022, Dynamic Imputation Methodology for Multi-source Streaming Mobility Data . in Y Bie, BX Qu, RJ Howlett & LC Jain (eds), Smart Transportation Systems 2022. Smart Innovation, Systems and Technologies, vol. 304 SIST, Springer, pp. 184-198.

DESIGN OF VCOs AND PAs IN 22 NM FD-SOI FOR 5G MM-WAVE COMMUNICATIONS

Zong, Z 2022, ' DESIGN OF VCOs AND PAs IN 22 NM FD-SOI FOR 5G MM-WAVE COMMUNICATIONS ', Doctor of Engineering Sciences, Vrije Universiteit Brussel.

Pareto Conditioned Networks

Reymond, M , Bargiacchi, E & Nowe, A 2022, Pareto Conditioned Networks . in The 21st International Conference on Autonomous Agents and Multiagent Systems. IFAAMAS, pp. 1110-1118, 21st International Conference on Autonomous Agents and Multi-agent System, 9/05/22 .

Local Advantage Networks for Cooperative Multi-Agent Reinforcement Learning

Avalos, R , Reymond, M , Nowe, A & Roijers, DM 2022, Local Advantage Networks for Cooperative Multi-Agent Reinforcement Learning . in International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022: Extended Abstract. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, vol. 3, IFAAMAS, pp. 1524-1526, 21st International Conference on Autonomous Agents and Multi-agent System, 9/05/22 .

Modeling graphene-based THz devices with an Improved Surface Boundary Condition in Leapfrog FDTD Scheme

He, G, Li, F-X, Yi, Z-X, Li, M-L, Yang, X-X & Stiens, J 2022, ' Modeling graphene-based THz devices with an Improved Surface Boundary Condition in Leapfrog FDTD Scheme ', IEEE Transactions on Plasma Science , vol. 50, no. 5, pp. 1369 - 1377.

A standard way for computing numerical reconstructions of digital holograms

Birnbaum, T , Blinder, D , Kizhakkumkara Muhamad, R , Gilles, A, Perra, C, Kozacki, T & Schelkens, P 2022, A standard way for computing numerical reconstructions of digital holograms . in P Schelkens & T Kozacki (eds), Optics, Photonics and Digital Technologies for Imaging Applications VII. vol. 12138, 121380O, Proceedings of SPIE, SPIE Press, Optics, Photonics and Digital Technologies for Imaging Applications VII 2022, Virtual, Online, 9/05/22 .

Design and Analysis of a 140-GHz T/R Front-End Module in 22-nm FD-SOI CMOS

Tang, X, Nguyen, J, Mangraviti, G, Zong, Z & Wambacq, P 2022, ' Design and Analysis of a 140-GHz T/R Front-End Module in 22-nm FD-SOI CMOS ', IEEE Journal of Solid-State Circuits , vol. 57, no. 5, pp. 1300-1313.

ROMAN Robust PCA Masking Network

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Large ensemble of downscaled historical daily snowfall from an earth system model to 5.5 km resolution over Dronning Maud Land, Antarctica

Ghilain, N, Vannitsem, S, Dalaiden, Q, Goosse, H , De Cruz, L & Wei, W 2022, ' Large ensemble of downscaled historical daily snowfall from an earth system model to 5.5 km resolution over Dronning Maud Land, Antarctica ', EARTH SYSTEM SCIENCE DATA , vol. 14, no. 4, pp. 1901-1916.

Pincushion point-spread function for computer-generated holography

Blinder, D , Birnbaum, T & Schelkens, P 2022, ' Pincushion point-spread function for computer-generated holography ', Optics Letters , vol. 47, no. 8, pp. 2077-2080.

Pincushion point-spread function for computer-generated holography

Blinder, D , Birnbaum, T & Schelkens, P 2022, ' Pincushion point-spread function for computer-generated holography ', Optics Letters , vol. 47, no. 8, pp. 2077-2080.

A Practical Guide to Multi-Objective Reinforcement Learning and Planning

Hayes, CF , Radulescu, R , Bargiacchi, E , Källström, J, Macfarlane, M , Reymond, M , Verstraeten, T , Zintgraf, L, Dazeley, R, Heintz, F, Howley, E, Irissappane, AA, Mannion, P , Nowe, A , De Oliveira Ramos, G, Restelli, M, Vamplew, P & Roijers, DM 2022, ' A Practical Guide to Multi-Objective Reinforcement Learning and Planning ', Autonomous Agents and Multi-Agent Systems , vol. 36, no. 1, 26.

Scaling up oligogenic diseases research with OLIDA: the Oligogenic Diseases Database

Nachtegael, C , Gravel, B , Dillen, A , Smits, G , Nowé, A , Papadimitriou, S & Lenaerts, T 2022, ' Scaling up oligogenic diseases research with OLIDA: the Oligogenic Diseases Database ', Database : the journal of biological databases and curation , vol. 2022, baac023.

Two approaches to tackle the sign ambiguity of beamformed MEG source-reconstructed data

Rossi, C & Van Schependom, J 2022, ' Two approaches to tackle the sign ambiguity of beamformed MEG source-reconstructed data ', International Conference on Biomagnetism, United Kingdom, 28/08/22 - 1/09/22 .

Linearity Assessment of GaN HEMTs on Si using Nonlinear Characterisation

ElKashlan, R, Khaled, A, Rodriguez, R, Putcha, V, Peralagu, U, Alian, A, Collaert, N , Wambacq, P & Parvais, B 2022, Linearity Assessment of GaN HEMTs on Si using Nonlinear Characterisation . in 2021 16th European Microwave Integrated Circuits Conference (EuMIC). EuMIC 2021 - 2021 16th European Microwave Integrated Circuits Conference, IEEE, pp. 30-33, European Microwave Week, London, United Kingdom, 2/04/22 .

A FAIR Brugada Syndrome data repository to facilitate cardiogenetic research

Ruiz, MMT , Daneels, D , Pappaert, G , Cannaerts, E , de Ravel, T , de Asmundis, C , Sieira, J , Nowe, A , Brugrada, P , Olsen, C , Lenaerts, T & Van Dooren, S 2022, ' A FAIR Brugada Syndrome data repository to facilitate cardiogenetic research ', European Journal of Human Genetics , vol. 30, no. SUPPL 1, pp. 185-185.

Acceptance and Commitment Therapy to Increase Resilience in Chronic Pain Patients: A Clinical Guideline.

Moens, M , Jansen, J , De Smedt, A , Roulaud, M, Billot, M , Laton, J , Rigoard, P & Goudman, L 2022, ' Acceptance and Commitment Therapy to Increase Resilience in Chronic Pain Patients: A Clinical Guideline. ', Medicina , vol. 58, no. 4, 499.

A multi-scale multi-attention network for dynamic facial expression recognition

Xia, X, Yang, L, Wei, X , Sahli, H & Jiang, D 2022, ' A multi-scale multi-attention network for dynamic facial expression recognition ', Multimedia Systems , vol. 28, no. 2, pp. 479-493.

A Generic Source Coding Methodology and Architecture of Dynamic Holograms

Birnbaum, T 2022, ' A Generic Source Coding Methodology and Architecture of Dynamic Holograms ', Vrije Universiteit Brussel.

Miniaturized cost-effective broadband spectrometer employing a deconvolution reconstruction algorithm for resolution enhancement

Shcheglov, A , Nie, Y , Schretter, C , Heeman, R, van der Put, A, Hoving, W , Thienpont, H , Schelkens, P & Ottevaere, PDIH 2022, ' Miniaturized cost-effective broadband spectrometer employing a deconvolution reconstruction algorithm for resolution enhancement ', Optics Express , vol. 30, no. 7, pp. 11459-11471.

Deep-Learning Computational Holography: A Review (Invited)

Shimobaba, T , Blinder, D , Birnbaum, T , Hoshi, I, Shiomi, H , Schelkens, P & Ito, T 2022, ' Deep-Learning Computational Holography: A Review (Invited) ', Frontiers in Photonics , vol. 3, 854391.

Forward-Looking MIMO-SAR for Enhanced Angular Resolution

Albaba, A , Sakhnini, A , Sahli, H & Bourdoux, A 2022, Forward-Looking MIMO-SAR for Enhanced Angular Resolution . in 2022 IEEE Radar Conference (RadarConf22). 2022 IEEE RADAR CONFERENCE (RADARCONFདྷ), IEEE, IEEE Xplore, pp. 1-6, IEEE Radar Conference 2022, New York, United States, 21/03/22 .

Time-Slotted Spreading Factor Hopping for Mitigating Blind Spots in LoRa-Based Networks

Iglesias-Rivera, A , Van Glabbeek, R , Ortiz Guerra, E , Braeken, A , Steenhaut, K & Cruz Enriquez, H 2022, ' Time-Slotted Spreading Factor Hopping for Mitigating Blind Spots in LoRa-Based Networks ', Sensors , vol. 22, no. 6, 2253.

A Deep Learning Approach to Automatically Extract 3D Hand Measurements

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Custom lifetime phantoms for characterization and benchmarking of a new CAPS fluorescence-lifetime camera

Lapauw, T , Van Den Dries, T , Ingelberts, H , Hernot, S & Kuijk, M 2022, Custom lifetime phantoms for characterization and benchmarking of a new CAPS fluorescence-lifetime camera . in C Boudoux & JW Tunnell (eds), Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XX. vol. 11949, 1194902, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 11949, SPIE, California, USA, SPIE Photonics West, San Francisco, United States, 22/01/22 .

Compact sub-nanosecond time-gated camera based on a new 64x64 Current-Assisted Photonic Sampler (CAPS) sensor with improved quantum efficiency

Van Den Dries, T , Ingelberts, H , Lapauw, T , Juliens, A , Coosemans, J , Iranian, P & Jegannathan, G 2022, Compact sub-nanosecond time-gated camera based on a new 64x64 Current-Assisted Photonic Sampler (CAPS) sensor with improved quantum efficiency . in GT Reed & AP Knights (eds), Silicon Photonics XVII. vol. 12006, 120060B , Proceedings of SPIE - The International Society for Optical Engineering, vol. 12006, SPIE, California, USA, SPIE Photonics West 2022, San Francisco, California, United States, 22/01/22 .

Miniaturized Time-Resolved Fluorescence Spectrometer System

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Active-quenched CA-SPADs demonstrating high PDP at NIR wavelengths

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Fully Blind Electromagnetic Characterization of Deep Sub-Wavelength (? /100) Dielectric Slabs With Low Bandwidth Differential Transient Radar Technique at 10 GHz

Pourkazemi, A , Tayebi, S & Stiens, J 2022, ' Fully Blind Electromagnetic Characterization of Deep Sub-Wavelength (? /100) Dielectric Slabs With Low Bandwidth Differential Transient Radar Technique at 10 GHz ', IEEE Transactions on Microwave Theory and Techniques , vol. 70, no. 3, pp. 1651-1657.

SHA 3 and Keccak variants computation speeds on constrained devices

Vandervelden, T , De Smet, R , Steenhaut, K & Braeken, A 2022, ' SHA 3 and Keccak variants computation speeds on constrained devices ', Future Generation Computer Systems , vol. 128, pp. 28-35.

Reinforcement Learning Applicability for Resource-Based Auto-scaling in Serverless Edge Applications

Benedetti, P , Steenhaut, K , Reali, G & Femminella, M 2022, Reinforcement Learning Applicability for Resource-Based Auto-scaling in Serverless Edge Applications . in 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022, IEEE, pp. 674-679, 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), Pisa, Italy, 21/03/22 .

Innovating Care in Multiple Sclerosis: Feasibility of Synchronous Internet-Based Teleconsultation for Longitudinal Clinical Monitoring

Sadeghi, N , Eelen, P , Nagels, G , Cuvelier, C, Van Gils, K , D'hooghe, MB , Van Schependom, J & D'haeseleer, M 2022, ' Innovating Care in Multiple Sclerosis: Feasibility of Synchronous Internet-Based Teleconsultation for Longitudinal Clinical Monitoring ', Journal of Personalized Medicine , vol. 12, no. 3, 433.

A Q-Learning algorithm for flexible job shop scheduling in a real-world manufacturing scenario

Palacio, JC , Martinez Jimenez, Y , Schietgat, L , Van Doninck, B & Nowe, A 2022, ' A Q-Learning algorithm for flexible job shop scheduling in a real-world manufacturing scenario ', Procedia CIRP , vol. 106, pp. 227-232.

Spatiotemporal Air Quality Inference of Low-Cost Sensor Data: Evidence from Multiple Sensor Testbeds

Hofman, J, Do Huu, T, Qin, X , Rodrigo Bonet, E , Philips, W , Deligiannis, N & Panzica La Manna, V 2022, ' Spatiotemporal Air Quality Inference of Low-Cost Sensor Data: Evidence from Multiple Sensor Testbeds ', Environmental Modelling and Software , vol. 149, 105306.

Predicting high-fidelity human body models from impaired point clouds

Hu, P , Zhao, R , Dai, X & Munteanu, A 2022, ' Predicting high-fidelity human body models from impaired point clouds ', Signal Processing , vol. 192, 108375.

An individualized and adaptive game-based therapy for cerebral visual impairment: Design, development, and evaluation

Ben Ithzak, N, Franki, I , Jansen, B , Kostkova, K , Wagemans, J & Ortibus, E 2022, ' An individualized and adaptive game-based therapy for cerebral visual impairment: Design, development, and evaluation ', International Journal of Child-Computer Interaction , vol. 31, 100437.

Whole-body magnetic resonance imaging for prostate cancer assessment: Current status and future directions

Van Nieuwenhove, S, Van Damme, J, Padhani, AR, Vandecaveye, V, Tombal, B , Wuts, J , Pasoglou, V & Lecouvet, FE 2022, ' Whole-body magnetic resonance imaging for prostate cancer assessment: Current status and future directions ', Journal of Magnetic Resonance Imaging , vol. 55, no. 3, pp. 653-680.

Deep learning for biosignal control: insights from basic to real-time methods with recommendations

Dillen, A , Steckelmacher, D , Efthymiadis, K , Langlois, K , De Beir, A , Marusic, U , Vanderborght, B , Nowe, A , Meeusen, R , Ghaffari, F, Romain, O & De Pauw, K 2022, ' Deep learning for biosignal control: insights from basic to real-time methods with recommendations ', Journal of Neural Engineering , vol. 19, no. 1, 011003.

Circuitree: a Datalog Reasoner in Zero-Knowledge

Godden, T , De Smet, R , Debruyne, C , Vandervelden, T , Steenhaut, K & Braeken, A 2022, ' Circuitree: a Datalog Reasoner in Zero-Knowledge ', IEEE Access , vol. 10, pp. 21384-21396.

PPG EduKit: An Adjustable Photoplethysmography Evaluation System for Educational Activities

Sole Morillo, A , Lambert Cause, J , Baciu, V-E , da Silva, B , Garcia Naranjo, JC & Stiens, J 2022, ' PPG EduKit: An Adjustable Photoplethysmography Evaluation System for Educational Activities ', Sensors (Basel, Switzerland) , vol. 22, no. 4, 1389, pp. 1-22.

Symmetric Key based Authentication among the nodes in a Wireless Sensor and Actuator Network

Vandervelden, T , De Smet, R , Steenhaut, K & Braeken, A 2022, ' Symmetric Key based Authentication among the nodes in a Wireless Sensor and Actuator Network ', Sensors , vol. 22, no. 4, 1403.

PPG EduKit: An Adjustable Photoplethysmography Evaluation System for Educational Activities

Sole Morillo, A , Lambert Cause, J , Baciu, V-E , da Silva, B , Garcia Naranjo, JC & Stiens, J 2022, ' PPG EduKit: An Adjustable Photoplethysmography Evaluation System for Educational Activities ', Sensors (Basel, Switzerland) , vol. 22, no. 4, 1389, pp. 1-22.

Improved automated early detection of breast cancer based on high resolution 3D micro-CT microcalcification images

Brahimetaj, R , Willekens, I , Massart, A , Forsyth, R , Cornelis, JPH , De Mey, J & Jansen, B 2022, ' Improved automated early detection of breast cancer based on high resolution 3D micro-CT microcalcification images ', BMC Cancer , vol. 22, no. 1, 162, pp. 162.

Multi-View CNN-LSTM Architecture for Radar-Based Human Activity Recognition

Khalid, H , Gorji, A, Bourdoux, A, Pollin, S & Sahli, H 2022, ' Multi-View CNN-LSTM Architecture for Radar-Based Human Activity Recognition ', IEEE Access , vol. 10, pp. 24509-24519.

FRF estimation using multiple kernel-based regularisation

Hallemans, N , Pintelon, R , Joukovsky, BJ , Peumans, D & Lataire, J 2022, ' FRF estimation using multiple kernel-based regularisation ', Automatica , vol. 136, no. 2, 110056. <

Optimization of phase-only holograms calculated with scaled diffraction calculation through deep neural networks

Ishii, Y, Shimobaba, T , Blinder, D , Birnbaum, T , Schelkens, P , Kakue, T & Ito, T 2022, ' Optimization of phase-only holograms calculated with scaled diffraction calculation through deep neural networks ', Appl. Phys. B , vol. 128, no. 2, 22, pp. 1-11.

End-to-end encryptie is niet het einde

De Smet, R , Vandervelden, T , Steenhaut, K & Braeken, A 2022, ' End-to-end encryptie is niet het einde ' Ministry of Privacy , vol. 2022, no. 3, pp. 5-8.

Brain Volume Loss Can Occur at the Rate of Normal Aging in Patients with Multiple Sclerosis Who Are Free from Disease Activity

Temmerman, J , Van Der Veken, F , Engelborghs, S , Guldolf, K , Nagels, G , Smeets, D , Allemeersch, G-JSH , Costers, L , D'Hooghe, MB , Vanbinst, A-M , Van Schependom, J , Bjerke, M & D'Haeseleer, M 2022, ' Brain Volume Loss Can Occur at the Rate of Normal Aging in Patients with Multiple Sclerosis Who Are Free from Disease Activity ', Journal of Clinical Medicine , vol. 11, no. 3, 523.

Novel FPGA-Based Visual Stimulation Method for Eye Movement Analysis

Benitez, A, Socarras Hernandez, B, Herrera Rodriguez, J , da Silva, B & Vazquez Seisdedos, C 2022, ' Novel FPGA-Based Visual Stimulation Method for Eye Movement Analysis ', Electronics , vol. 11, no. 3, 303, pp. 1-29.

Prefrailty: The Relationship Between Daily Activities and Social Participation in Older Persons

Costenoble, A , Knoop, V , Debain, A , Vermeiren, S , Vella Azzopardi, R , Rossi, G , Smeys, C , Baltazar, KD , Bautmans, I , Verte, D , Gorus, E , De Vriendt, P , Beyer, I , Petrovic, M , De Witte, N , Kardol, T , Clarys, P , Scafoglieri, A , Cattrysse, E , de Hert, P & Jansen, B 2022, ' Prefrailty: The Relationship Between Daily Activities and Social Participation in Older Persons ', Journal of Applied Gerontology , vol. 41, no. 2, pp. 430-440.

Off-axis image plane hologram compression in holographic tomography – metrological assessment

Kizhakkumkara Muhamad, R , Stepien, P, Kujawinska, M & Schelkens, P 2022, ' Off-axis image plane hologram compression in holographic tomography – metrological assessment ', Opt. Express , vol. 30, no. 3, pp. 4261-4273.

Reviewing machine learning of corrosion prediction in a data-oriented perspective

Coelho, LB , Zhang, D , Van Ingelgem, Y , Steckelmacher, D , Nowe, A & Terryn, H 2022, Reviewing machine learning of corrosion prediction in a data-oriented perspective ..

How to Challenge Patients During Gait Training: The Effect of Immersive Virtual Reality on the Gait Pattern in People Post-stroke

De Keersmaecker, E , Rodriguez-Cianca, D , Serrien, B , Jansen, B , Rodriguez-Guerrero, C , Kerckhofs, E & Swinnen, E 2022, How to Challenge Patients During Gait Training: The Effect of Immersive Virtual Reality on the Gait Pattern in People Post-stroke . in Biosystems and Biorobotics. Biosystems and Biorobotics, vol. 28, Springer Science and Business Media Deutschland GmbH, pp. 3-7.

Hyperspectral Image Restoration via Spatial-Spectral Residual Total Variation Regularized Low-Rank Tensor Decomposition

kong, X, zhao, Y , Chan, JC-W & Xue, J 2022, ' Hyperspectral Image Restoration via Spatial-Spectral Residual Total Variation Regularized Low-Rank Tensor Decomposition ', Remote Sensing , vol. 14, no. 3, 511.

Histograms of oriented mosaic gradients for snapshot spectral image description

Chen, L, Zhao, Y , Chan, JC-W & Kong, S 2022, ' Histograms of oriented mosaic gradients for snapshot spectral image description ', ISPRS Journal of Photogrammetry and Remote Sensing , vol. 183, pp. 79-93.

Imaging of treatment response and minimal residual disease in multiple myeloma: state of the art WB-MRI and PET/CT

Lecouvet, FE, Vekemans, M-C, Van Den Berghe, T, Verstraete, K, Kirchgesner, T, Acid, S, Malghem, J , Wuts, J , Hillengass, J, Vandecaveye, V, Jamar, F, Gheysens, O & Vande Berg, BC 2022, ' Imaging of treatment response and minimal residual disease in multiple myeloma: state of the art WB-MRI and PET/CT ', Skeletal Radiology , vol. 51, no. 1, pp. 59-80.

Revisiting Natural Scene Statistical Modeling Using Deep Features for Opinion-Unaware Image Quality Assessment

Mahmoudpour, S & Schelkens, P 2022, Revisiting Natural Scene Statistical Modeling Using Deep Features for Opinion-Unaware Image Quality Assessment . in IEEE International Conference on Image Processing (ICIP). Proceedings - International Conference on Image Processing, ICIP, IEEE, pp. 1471-1475, IEEE International Conference on Image Processing (ICIP), Bordeaux, France, 16/10/22 .

JPEG Pleno light field: current standard and future directions

Perra, C , Mahmoudpour, S & Schelkens, P 2022, JPEG Pleno light field: current standard and future directions . in International Society for Optics and Photonics. SPIE, pp. 1-4, Optics, Photonics and Digital Technologies for Imaging Applications VII 2022, Virtual, Online, 9/05/22 .

Spectral Super-Resolution based on Dictionary Optimization Learning via Spectral Library

Yan, H-F, Zhao, Y-Q , Chan, JC-W & Kong, S 2022, ' Spectral Super-Resolution based on Dictionary Optimization Learning via Spectral Library ', IEEE Transactions on Geoscience and Remote Sensing , vol. 61, pp. 1-16.

A relevancy enhanced disinformation detection system

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An augmented reality system, an augmented reality hmd, and augmented reality method and a computer program

Frantz, T , Jansen, B , Vandemeulebroucke, J , Van Gestel, F , Duerinck, J & Scheerlinck, T , An augmented reality system, an augmented reality hmd, and augmented reality method and a computer program , Patent No. WO2022144116.

A disinformation detection system

Deligiannis, N , Do Huu, T, Berneman, M , Vanden Broucke, S & Cernej, V, A disinformation detection system , Patent No. WO2022167302.

Circuit and method for fluorescence lifetime imaging

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Methods of estimating a bare body shape from a concealed scan of the body

Hu, P , Munteanu, A , Nourbakhsh Kaashki, N & Sturges, S, Methods of estimating a bare body shape from a concealed scan of the body , Patent No. EP3997670.

Methods and systems for particle characterisation

Willaert, R , Kasas, S, Vanden Boer, PK, Malovichko, A, Alioscha-Perez, M & Sahli, H , Methods and systems for particle characterisation , Patent No. EP3969604.

Circuit and method for fluorescence lifetime imaging

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Method and apparatus for compensating motion for a holographic video stream

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Electronic mixer

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Manual Lymphatic Drainage Increases the Number of Opened Lymphatic Pathways in Patients with Lower Limb Lymphedemas: A Sequential Research on 80 Patients

Barbieux, R, Roman, MM, Penafuerte, DRY , Leduc, O , Leduc, A , Bourgeois, P & Provyn, S 2022, ' Manual Lymphatic Drainage Increases the Number of Opened Lymphatic Pathways in Patients with Lower Limb Lymphedemas: A Sequential Research on 80 Patients ', Lymphology , vol. 55, no. 4, pp. 155-166.

Tackling Scheduling Problems with Graph Structured Reinforcement Learning

Renty, S , Avalos, R , Rosseau, A & Nowe, A 2022, ' Tackling Scheduling Problems with Graph Structured Reinforcement Learning ', Proceedings of the Benelux Conference on Artificial Intelligence , pp. 1-3.

Multi-agent RMax for Multi-Agent Multi-Armed Bandits

Bargiacchi, E , Avalos, R , Verstraeten, T , Libin, P , Nowe, A & Roijers, DM 2022, ' Multi-agent RMax for Multi-Agent Multi-Armed Bandits ', Proc. of the Adaptive and Learning Agents Workshop , vol. https://ala2022.github.io/, pp. 1-6. < https://ala2022.github.io/papers/ALA2022_paper_38.pdf >

Local Advantage Networks for Multi-Agent Reinforcement Learning in Dec-POMDPs

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Autocurricula and Emergent Sociality from a Gene Perspective

Rosseau, A , Avalos, R & Nowe, A 2022, ' Autocurricula and Emergent Sociality from a Gene Perspective ', Proc. of the Adaptive and Learning Agents Workshop , vol. https://ala2022.github.io/, pp. 1-7.

Depth estimation in multiview light field camera systems

Rogge, S 2022, ' Depth estimation in multiview light field camera systems ', Vrije Universiteit Brussel.

Deep learning-based 3D human body shape reconstruction from point clouds

Hu, P 2022, ' Deep learning-based 3D human body shape reconstruction from point clouds ', Vrije Universiteit Brussel.

Novel view synthesis for RGB-D camera networks

Truong, AM, Philips, W & Deligiannis, N 2022, Novel view synthesis for RGB-D camera networks . in 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP). IVMSP 2022 - 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop, IEEE, pp. 1-5, 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), Nafplio, Greece, 26/06/22 .

Entropy-Based Feature Extraction for Real-Time Semantic Segmentation

Abrahamyan, L & Deligiannis, N 2022, Entropy-Based Feature Extraction for Real-Time Semantic Segmentation . in IEEE International Conference on Image Processing (ICIP), 2022. IEEE, pp. 1-5, 2022 IEEE International Conference on Image Processing (ICIP 2022), Bordeaux, France, 16/10/22 .

NLX-GPT: Explanations with Natural Text (Visual Question Answering Demo)

Sammani, F , NLX-GPT: Explanations with Natural Text (Visual Question Answering Demo) , 2022, Software.

Iris Segmentation based on an Optimized U-Net

Sabry, SAM , Omelina, L , Cornelis, J & Jansen, B 2022, Iris Segmentation based on an Optimized U-Net . in BIOSIGNALS 2022. pp. 176-183. < https://www.scitepress.org/PublishedPapers/2022/108258/108258.pdf >

Compression strategies for digital holograms in biomedical and multimedia applications

Schelkens, P , Ahar, A, Gilles, A , Kizhakkumkara Muhamad, R , J. Naughton, T, Perra, C, Pinheiro, A, Stepien, P & Kujawinska, M 2022, ' Compression strategies for digital holograms in biomedical and multimedia applications ', Light: Advanced Manufacturing , vol. 3, no. 3, 40, pp. 601-621.

III-V/III-N technologies for next generation high-capacity wireless communication

Collaert, N, Alian, A, Banerjee, A, Boccardi, G, Cardinael, P, Chauhan, V, Desset, C, Elkashlan, R, Khaled, A, Ingels, M, Kunert, B, Mols, Y, O'Sullivan, B, Peralagu, U, Pinho, N, Rodriguez, R, Sibaja-Hernandez, A, Sinha, S, Sun, X, Vais, A, Vermeersch, B, Yadav, S , Yan, D , Yu, H, Zhang, Y, Zhao, M, Van Driessche, J, Gramegna, G , Wambacq, P , Parvais, B & Peeters, M 2022, III-V/III-N technologies for next generation high-capacity wireless communication . in 2022 International Electron Devices Meeting, IEDM 2022. Technical Digest - International Electron Devices Meeting, IEDM, vol. 2022-December, Institute of Electrical and Electronics Engineers Inc., pp. 1151-1154, 2022 International Electron Devices Meeting, IEDM 2022, San Francisco, United States, 3/12/22 .

Back Barrier Trapping Induced Resistance Dispersion in GaN HEMT: Mechanism, Modeling, and Solutions

Yu, H , Parvais, B , Peralagu, U, Elkashlan, RY, Rodriguez, R, Khaled, A, Yadav, S, Alian, A, Zhao, M, De Almeida Braga, N, Cobb, J, Fang, J, Cardinael, P, Sibaja-Hernandez, A & Collaert, N 2022, Back Barrier Trapping Induced Resistance Dispersion in GaN HEMT: Mechanism, Modeling, and Solutions . in 2022 International Electron Devices Meeting, IEDM 2022. 2022 INTERNATIONAL ELECTRON DEVICES MEETING, IEDM, Institute of Electrical and Electronics Engineers Inc., pp. 3061-3064, 2022 International Electron Devices Meeting, IEDM 2022, San Francisco, United States, 3/12/22 .

Probabilistic tissue mapping for tumor segmentation and infiltration detection of glioma

De Sutter, S , Geens, W , Bossa Bossa, MN , Vanbinst, A , Duerinck, J & Vandemeulebroucke, J 2022, ' Probabilistic tissue mapping for tumor segmentation and infiltration detection of glioma ', MICCAI 2022, Singapore, 18/09/22 - 22/09/22 .

Probabilistic tissue mapping for tumor segmentation and infiltration detection of glioma

De Sutter, S , Geens, W , Bossa Bossa, MN , Vanbinst, A-M , Duerinck, J & Vandemeulebroucke, J 2022, Probabilistic tissue mapping for tumor segmentation and infiltration detection of glioma . in Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. Springer.

End-to-End Car Make and Model Classification using Compound Scaling and Transfer Learning

Bourja, O, Maach, A, Zannouti, Z, Derrouz, H , Mekhzoum, H , Abdelali, HA, Thami, ROH & Bourzeix, FO 2022, ' End-to-End Car Make and Model Classification using Compound Scaling and Transfer Learning ', International Journal of Advanced Computer Science and Applications , vol. 13, no. 5, pp. 994-1001.

When Are Graph Neural Networks Better Than Structure-Agnostic Methods?

Gomes, D , Ruelens, F , Efthymiadis, K , Nowe, A & Vrancx, P 2022, When Are Graph Neural Networks Better Than Structure-Agnostic Methods? in I Can't Believe It's Not Better Workshop: Understanding Deep Learning Through Empirical Falsification. OpenReview.net, pp. 1-10, NeurIPS 2022, New Orleans, Florida, United States, 28/11/22 . < https://openreview.net/forum?id=ijEXOqLIMw >

OrienNormNet: Orientation Normalization of 3D Body Models

Zhao, R , Dai, X , Hu, P & Munteanu, A 2022, OrienNormNet: Orientation Normalization of 3D Body Models . in Proceedings of 3DBODY.TECH 2022. Hometrica Consulting, 13th International Conference and Exhibition on 3D Body Scanning and Processing Technologies - Lugano, Switzerland, Lugano, Switzerland, 25/10/22 . < https://www.researchgate.net/profile/Pengpeng-Hu/publication/363055957_OrienNormNet_Orientation_Normalization_of_3D_Body_Models/links/630c9ecc1ddd4470211a2e92/OrienNormNet-Orientation-Normalization-of-3D-Body-Models.pdf >

MO-Gym: A Library of Multi-Objective Reinforcement Learning Environments

Nunes Alegre, L , Felten, F, Talbi, E-G, Danoy, G , Nowé, A , Bazzan, A & C. da Silva, B 2022, MO-Gym: A Library of Multi-Objective Reinforcement Learning Environments . in Proceedings of the 34th Benelux Conference on Artificial Intelligence BNAIC/Benelearn 2022. BNAIC/BeNeLearn 2022, Lamot Mechelen, Belgium, 7/11/22 . < https://bnaic2022.uantwerpen.be/wp-content/uploads/BNAICBeNeLearn_2022_submission_6485.pdf >

Integrated radio front-end Circuits for 5G and 6G wireless application

Tang, X 2022, ' Integrated radio front-end Circuits for 5G and 6G wireless application ', Vrije Universiteit Brussel.

CMOS mm-wave/sub-THz low-power and high-efficiency transmitters for frequency-modulated continuous-wave radars

Park, S 2022, ' CMOS mm-wave/sub-THz low-power and high-efficiency transmitters for frequency-modulated continuous-wave radars ', Vrije Universiteit Brussel.

Deep unfolding designs for multimodal image restoration and fusion

Marivani, I 2022, ' Deep unfolding designs for multimodal image restoration and fusion ', Vrije Universiteit Brussel.

Advances in groupwise image registration

Polfliet, M 2022, ' Advances in groupwise image registration ', Vrije Universiteit Brussel.

A generic source coding methodology and architecture of dynamic holograms

Birnbaum, T 2022, ' A generic source coding methodology and architecture of dynamic holograms ', Vrije Universiteit Brussel.

DataX Allocator: Dynamic resource management for stream analytics at the Edge

Benedetti, P, Coviello, G, Rao, K & Chakradhar, S 2022, DataX Allocator: Dynamic resource management for stream analytics at the Edge . in J Lloret Mauri, L Boubchir, Y Jararweh, E Benkhelifa & I Saleh (eds), The 9th International Conference on Internet of Things: Systems, Management and Security. 2022 9th International Conference on Internet of Things, Systems, Management and Security, IOTSMS 2022, The 9th International Conference on Internet of Things: Systems, Management and Security, Milan, Italy, 29/11/22 .

Optimization of deep learning methods for computer vision

Abrahamyan, L 2022, ' Optimization of deep learning methods for computer vision ', Vrije Universiteit Brussel.

Design and Analysis of a 4.2 mW 4 K 6–8 GHz CMOS LNA for Superconducting Qubit Readout

Caglar, A , Winckel, SV, Brebels, S , Wambacq, P & Craninckx, J 2022, ' Design and Analysis of a 4.2 mW 4 K 6–8 GHz CMOS LNA for Superconducting Qubit Readout ', IEEE Journal of Solid-State Circuits , vol. 58, no. 6, pp. 1586-1596.

SERT AVAILABILITY MODIFIED BY ACCELERATED HF-rTMS IN THE SUBGENUAL ANTERIOR CINGULATE CORTEX: A CANINE [C-11]-DASB POSITRON EMISSION TOMOGRAPHY STUDY

Xu, Y, Kappen, M, Peremans, K , De Bundel, D , Van Eeckhaut, A , Van Laeken, N, De Vos, F, Dobbelei, A, Saunders, JH & Baeken, C 2022, ' SERT AVAILABILITY MODIFIED BY ACCELERATED HF-rTMS IN THE SUBGENUAL ANTERIOR CINGULATE CORTEX: A CANINE [C-11]-DASB POSITRON EMISSION TOMOGRAPHY STUDY ', Psychiatria Danubina , vol. 34, pp. 44-44.

Unifying Structural and Semantic Similarities for Quality Assessment of DIBR-Synthesized Views

Mahmoudpour, S & Schelkens, P 2022, ' Unifying Structural and Semantic Similarities for Quality Assessment of DIBR-Synthesized Views ', IEEE Access , vol. 10, pp. 59026-59036.

Sequential Adaptive Scattering-Compensated Holography for Fluorescence Microscopy

Schretter, C & Schelkens, P 2022, Sequential Adaptive Scattering-Compensated Holography for Fluorescence Microscopy . in Digital Holography and Three-Dimensional Imaging, DH 2022. , 3758341, Optics InfoBase Conference Papers, Optica Publishing Group (formerly OSA): https://opg.optica.org/, Digital Holography and Three-Dimensional Imaging, DH 2022, Cambridge, United Kingdom, 1/08/22 .

Quality evaluation of the JPEG Pleno Holography Call for Proposals response

Prazeres, J, Gilles, A, Kizhakkumkara Muhammad, R , Birnbaum, T , Schelkens, P & Pinheiro, AMG 2022, Quality evaluation of the JPEG Pleno Holography Call for Proposals response . in 2022 14th International Conference on Quality of Multimedia Experience, QoMEX 2022. 2022 14th International Conference on Quality of Multimedia Experience, QoMEX 2022, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 14th International Conference on Quality of Multimedia Experience, QoMEX 2022, Lippstadt, Germany, 5/09/22 .

Representing and Learning Linguistic Structures on the Conceptual, Morpho-Syntactic and Semantic Level

Nevens, J 2022, ' Representing and Learning Linguistic Structures on the Conceptual, Morpho-Syntactic and Semantic Level ', Vrije Universiteit Brussel, Brussel.

Improved Alzheimer's Disease versus Frontotemporal Lobar Degeneration Differential Diagnosis Combining EEG and Neurochemical Biomarkers: A Pilot Study

Laton, J , Van Schependom, J , Goossens, J , Wiels, W , Sieben, A, De Deyn, PP, Goeman, J, Streffer, J, van der Zee, J, Martin, J-J, Van Broeckhoven, C, De Vos, M , Bjerke, M , Nagels, G & Engelborghs, S 2022, ' Improved Alzheimer's Disease versus Frontotemporal Lobar Degeneration Differential Diagnosis Combining EEG and Neurochemical Biomarkers: A Pilot Study ', Journal of Alzheimer's Disease , vol. 90, no. 4, pp. 1739-1747.

MONO6D: MONOCULAR VEHICLE 6D POSE ESTIMATION WITH 3D PRIORS

Yangxintong, L , Royen, RD & Munteanu, A 2022, MONO6D: MONOCULAR VEHICLE 6D POSE ESTIMATION WITH 3D PRIORS . in IEEE International Conference on Image Processing (ICIP). Proceedings - International Conference on Image Processing, ICIP, IEEE, Bordeaux, France, pp. 2187-2191.

Explaining Graph Neural Networks With Topology-Aware Node Selection: Application in Air Quality Inference

Rodrigo Bonet, E , Do Huu, T, Qin, X, Hofman, J, Panzica La Manna, V, Philips, W & Deligiannis, N 2022, ' Explaining Graph Neural Networks With Topology-Aware Node Selection: Application in Air Quality Inference ', IEEE Transactions on Signal and Information Processing over Networks , vol. 8, pp. 499-513.

Sequential Adaptive Scattering-Compensated Holography for Fluorescence Microscopy

Schretter, C & Schelkens, P 2022, Sequential Adaptive Scattering-Compensated Holography for Fluorescence Microscopy . in Digital Holography and Three-Dimensional Imaging, DH 2022. , 3758341, Optics InfoBase Conference Papers, Optica Publishing Group (formerly OSA): https://opg.optica.org/, Digital Holography and Three-Dimensional Imaging, DH 2022, Cambridge, United Kingdom, 1/08/22 .

Validation of the 1/f ratio as a marker of excitation/inhibition balance through benzodiazepines use in multiple sclerosis

Akbarian, F , Van Schependom, J & Nagels, G 2022, ' Validation of the 1/f ratio as a marker of excitation/inhibition balance through benzodiazepines use in multiple sclerosis ', The 22nd International Conference on Biomagnetism, Birmingham, United Kingdom, 28/08/22 - 1/09/22 .

Cognitive and motor fatigue is associated with increased excitation/inhibition ratio

Akbarian, F , Van Schependom, J & Nagels, G 2022, ' Cognitive and motor fatigue is associated with increased excitation/inhibition ratio ', IMSCOGS Annual Meeting 2022, Bordeaux, France, 18/05/22 - 19/05/22 .

NOVEL CLASS DISCOVERY: A DEPENDENCY APPROACH

Mukherjee, T & Deligiannis, N 2022, NOVEL CLASS DISCOVERY: A DEPENDENCY APPROACH . in IEEE International Conference on Acoustics, Speech and Signal Processing. International Conference on Acoustics, Speech and Signal Processing, IEEE Signal Processing Society, pp. 2525-2528, 2022 International Conference on Acoustics, Speech, and Signal Processing, Singapore, 22/05/22 .

Automatic and Fast Extraction of 3D Hand Measurements using a Deep Neural Network

Nourbakhsh Kaashki, N , Dai, X , Gyarmathy, T , Hu, P , Iancu, B & Munteanu, A 2022, Automatic and Fast Extraction of 3D Hand Measurements using a Deep Neural Network . in The International Instrumentation & Measurement Technology Conference .

A Deep Learning Approach to Automatically Extract 3D Hand Measurements

Nourbakhsh Kaashki, N , Dai, X , Gyarmathy, T , Hu, P , Iancu, B & Munteanu, A 2022, A Deep Learning Approach to Automatically Extract 3D Hand Measurements . in 2022 7th International Conference on Machine Learning Technologies (ICMLT). IEEE.

Statistical Parametrization of Cell Cytoskeleton (SPOCC) reveals novel lung cancer cytoskeletal phenotype with partial EMT signature

Basu, A, Paul, MK, Alioscha-Perez, M, Anna , G , Sahli, H , Dubinett, SM & Weiss, S 2022, ' Statistical Parametrization of Cell Cytoskeleton (SPOCC) reveals novel lung cancer cytoskeletal phenotype with partial EMT signature ', Communications Biology , vol. 5, no. 407.

A new time-domain camera system optimized for near-infrared fluorescence imaging

Ingelberts, H , Van Den Dries, T , Juliens, A , Lapauw, T , Hernot, S & Kuijk, M 2022, ' A new time-domain camera system optimized for near-infrared fluorescence imaging ', EMIM 2022, Thessaloniki, Greece, 15/03/22 - 18/03/22 .

A Bayesian Filtering Framework for Continuous Affect Recognition from Facial Images

Pei, E , Zhao, Y , Oveneke, MC , Jiang, D & Sahli, H 2022, ' A Bayesian Filtering Framework for Continuous Affect Recognition from Facial Images ', IEEE Transactions on Multimedia , vol. 25, pp. 3709-3722.

Commitment and Cyclic Strategies in Multi-Objective Games

Röpke, W , Radulescu, R , Nowe, A & Roijers, DM 2022, ' Commitment and Cyclic Strategies in Multi-Objective Games ', Paper presented at Adaptive and Learning Agents Workshop 2022, 9/05/22 - 10/05/22 . < https://ala2022.github.io/papers/ALA2022_paper_25.pdf >

A unique temporal, spatial, and spectral description of the working memory oscillatory dynamics

Rossi, C & Van Schependom, J 2022, ' A unique temporal, spatial, and spectral description of the working memory oscillatory dynamics ', Organisation for Human Brain Mapping, Glasgow, United Kingdom, 19/06/22 - 23/06/22 .

An alternative ERF analysis to access the altered working memory prefrontal network in MS

Rossi, C & Van Schependom, J 2022, ' An alternative ERF analysis to access the altered working memory prefrontal network in MS ', Organisation for Human Brain Mapping, Glasgow, United Kingdom, 19/06/22 - 23/06/22 .

Forward-Looking MIMO-SAR for Enhanced Angular Resolution

Albaba, A , Sakhnini, A , Sahli, H & Bourdoux, A 2022, ' Forward-Looking MIMO-SAR for Enhanced Angular Resolution ', Paper presented at IEEE Radar Conference 2022, New York, United States, 21/03/22 - 25/03/22 .

GRADIENT VARIANCE LOSS FOR STRUCTURE-ENHANCED IMAGE SUPER-RESOLUTION

Abrahamyan, L, Truong, AM, Philips, W & Deligiannis, N 2022, GRADIENT VARIANCE LOSS FOR STRUCTURE-ENHANCED IMAGE SUPER-RESOLUTION . in IEEE International Conference on Acoustecs, Speech and Signal Processing. International Conference on Acoustics, Speech and Signal Processing, 2022 IEEE International Conference on Accoustics, Speech and Signal Processing, Singapore, Singapore, 22/05/22 .

MoveRL: To A Safer Robotic Reinforcement Learning Environment

Liu, G , De Winter, J , Vanderborght, B , Nowe, A & Steckelmacher, D 2022, MoveRL: To A Safer Robotic Reinforcement Learning Environment . in LA Leiva, C Pruski, R Markovich, A Najjar & C Schommer (eds), The 33rd Benelux Conference on Artificial Intelligence and the 30th Belgian Dutch Conference on Machine Learning (BNAIC/BENELEARN 2021): AI in ACTION Joint International Scientific Conferences on AI. vol. 1530, Communications in Computer and Information Science, vol. 1530, Springer, CCIS, pp. 239-253, 33rd Benelux Conference on Artificial Intelligence and 30th Belgian-Dutch Conference on Machine Learning, Luxembourg, 10/11/21 .

 
2021 
All-sky search for short gravitational-wave bursts in the third Advanced LIGO and Advanced Virgo run

Virgo Collaboration & Turbang, K 2021, ' All-sky search for short gravitational-wave bursts in the third Advanced LIGO and Advanced Virgo run ', Physical Review D , vol. 104, no. 12, 122004.

A Pose-based Feature Fusion and Classification Framework for the Early Prediction of Cerebral Palsy in Infants

McCay, KD , Hu, P , Shum, HPH, Woo, WL, Marcroft, C, Embleton, ND , Munteanu, A & Ho, ESL 2021, ' A Pose-based Feature Fusion and Classification Framework for the Early Prediction of Cerebral Palsy in Infants ', IEEE Transactions on Neural Systems and Rehabilitation Engineering , vol. 30, pp. 8-19.

Three-dimensional hologram calculations using blocked radial and windmill point spread functions

Yasuki, D, Shimobaba, T, Makowski, M , Blinder, D , Suszek, J, Sypek, M , Birnbaum, T , Schelkens, P , Kakue, T & Ito, T 2021, ' Three-dimensional hologram calculations using blocked radial and windmill point spread functions ', Optics Express , vol. 29, no. 26, 44283, pp. 44283-44298.

Towards Multimodal Machine Learning Prediction of Individual Cognitive Evolution in Multiple Sclerosis

Denissen, S , Chen, OY , De Mey, J , de Vos, M , Van Schependom, J , Sima, DM & Nagels, G 2021, ' Towards Multimodal Machine Learning Prediction of Individual Cognitive Evolution in Multiple Sclerosis ', Journal of Personalized Medicine , vol. 11, no. 12, 1349.

Advanced exploration of wind fleet data through operating mode labelling

Dhont, M , Verbeke, R, Droutsas, C, Boeva, V, Verbeke, M, Murgia, A & Tsiporkova, E 2021, Advanced exploration of wind fleet data through operating mode labelling . in Proceedings 5th RESRB 2020: Renewable Energy Sources – Research and Business. vol. 5, Wojciech Budzianowski Consulting Services, pp. 1-4, Renewable Energy Sources – Research and Business 2020, Brussels, Belgium, 7/09/20 .

Deriving Spatio-temporal Trajectory Fingerprints from Mobility Data using Non-Negative Matrix Factorisation

Dhont, M , Tsiporkova, E & González-Deleito, N 2021, Deriving Spatio-temporal Trajectory Fingerprints from Mobility Data using Non-Negative Matrix Factorisation . in B Xue, M Pechenizkiy & YS Koh (eds), 2021 International Conference on Data Mining Workshops (ICDMW). IEEE International Conference on Data Mining Workshops, ICDMW, vol. 2021-December, IEEE, Auckland, New Zealand, pp. 750-759, 21st IEEE International Conference on Data Mining, Auckland, New Zealand, 7/12/21 .

Generalization Error Bounds for Deep Unfolding RNNs

Joukovsky, BJ , Mukherjee, T , Luong, VH & Deligiannis, N 2021, Generalization Error Bounds for Deep Unfolding RNNs . in Uncertainty in Artificial Intelligence. vol. 161, Uncertainty in Artificial Intelligence, vol. 161, Proceedings of Machine Learning Research (PMLR), Online, pp. 1515-1524, 37th Conference on Uncertainty in Artificial Intelligence, 27/07/21 . < https://proceedings.mlr.press/v161/joukovsky21a/joukovsky21a.pdf >

Bitwidth-Optimized Energy-Efficient FFT Design via Scaling Information Propagation

Liu, X, Chen, F , Muhamad, RK , Blinder, D , Nikolova, D , Schelkens, P , Catthoor, F & Ha, Y 2021, Bitwidth-Optimized Energy-Efficient FFT Design via Scaling Information Propagation . in 2021 58th ACM/IEEE Design Automation Conference, DAC 2021. Proceedings - Design Automation Conference, vol. 2021-December, Institute of Electrical and Electronics Engineers Inc., pp. 613-618, 58th ACM/IEEE Design Automation Conference, DAC 2021, San Francisco, United States, 5/12/21 .

THE BENEFITS OF ADDITIONAL SATELLITE CHANNELS FOR A MULTIMODAL DEEP LEARNING METHOD FOR PRECIPITATION ESTIMATION

Moraux, A , Dewitte, S & Munteanu, A 2021, THE BENEFITS OF ADDITIONAL SATELLITE CHANNELS FOR A MULTIMODAL DEEP LEARNING METHOD FOR PRECIPITATION ESTIMATION . in IEEE M2GARSS 2022. pp. 153-156.

Processing of musculoskeletal dynamic computer tomography images: a multi-atlas segmentation approach

Keelson, B , Buzzatti, L , Ceranka, J , Scheerlinck, T , Van Gompel, G , de Mey, J , Cattrysse, E , Baeyens, JP , Vandemeulebroucke, J & Buls, N 2021, ' Processing of musculoskeletal dynamic computer tomography images: a multi-atlas segmentation approach ', Physica Medica , vol. 92, pp. 133-134.

A Low-Power Reflection-Coefficient Sensor for 28-GHz Beamforming Transmitters in 22-nm FD-SOI CMOS

Zhang, Y, Mangraviti, G, Nguyen, J, Zong, Z, Kapusuz, KY, Lemey, S, Rogier, H, Gramegna, G & Wambacq, P 2021, ' A Low-Power Reflection-Coefficient Sensor for 28-GHz Beamforming Transmitters in 22-nm FD-SOI CMOS ', IEEE Journal of Solid-State Circuits , vol. 56, no. 12, pp. 3704-3714.

Model-predictive control and reinforcement learning in multi-energy system case studies

Ceusters, G , Rodríguez, RC, García, AB, Franke, R, Deconinck, G, Helsen, L , Nowé, A , Messagie, M & Camargo, LR 2021, ' Model-predictive control and reinforcement learning in multi-energy system case studies ', Applied Energy , vol. 303, 117634.

Public Covid-19 X-ray datasets and their impact on model bias – A systematic review of a significant problem

Garcia Santa Cruz, B , Bossa Bossa, MN , Sölter, J & Husch, AD 2021, ' Public Covid-19 X-ray datasets and their impact on model bias – A systematic review of a significant problem ', Medical Image Analysis , vol. 74, 102225.

Study on photoelectricity properties of SiCN thin films prepared by magnetron sputtering

Cheng, C & Stiens, J 2021, ' Study on photoelectricity properties of SiCN thin films prepared by magnetron sputtering ', Journal of Materials Research and Technology-JMR&T , vol. 15, pp. 460-467.

Real-Time Computation of 3D Wireframes in Computer-Generated Holography

Blinder, D , Nishitsuji, T & Schelkens, P 2021, ' Real-Time Computation of 3D Wireframes in Computer-Generated Holography ', IEEE Transactions on Image Processing , vol. 30, pp. 9418 - 9428.

Shepherd: Reinforcement Learning as a Service withDistributed Execution

Plisnier, H , Steckelmacher, D & Nowe, A 2021, ' Shepherd: Reinforcement Learning as a Service withDistributed Execution ', Paper presented at 33rd Benelux Conference on Artificial Intelligence and 30th Belgian-Dutch Conference on Machine Learning, Luxembourg, 10/11/21 - 12/11/21 pp. 726-728.

Play the Reinforcement Learning Agent

Plisnier, H , Fasano, AA & Nowe, A 2021, ' Play the Reinforcement Learning Agent ', Paper presented at 33rd Benelux Conference on Artificial Intelligence and 30th Belgian-Dutch Conference on Machine Learning, Luxembourg, 10/11/21 - 12/11/21 .

Automated Motion Analysis of Bony Joint Structures from Dynamic Computer Tomography Images: A Multi-Atlas Approach

Keelson, B , Buzzatti, L , Ceranka, J , Gutiérrez, A , Battista, S , Scheerlinck, T , Van Gompel, G , De Mey, J , Cattrysse, E , Buls, N & Vandemeulebroucke, J 2021, ' Automated Motion Analysis of Bony Joint Structures from Dynamic Computer Tomography Images: A Multi-Atlas Approach ', Diagnostics (Basel, Switzerland) , vol. 11, no. 11, 2062.

Gate dielectric material influence on DC behavior of MO(I)SHEMT devices operating up to 150 °C

Agopian, PGD, Carmo, GJ, Martino, JA, Simoen, E, Peralagu, U , Parvais, B , Waldron, N & Collaert, N 2021, ' Gate dielectric material influence on DC behavior of MO(I)SHEMT devices operating up to 150 °C ', Solid-State Electronics , vol. 185, 108091.

Cryogenic temperature DC-IV measurements and compact modeling of n-channel bulk FinFETs with 3–4 nm wide fins and 20 nm gate length for quantum computing applications

Gupta, S, Rathi, A , Parvais, B & Dixit, A 2021, ' Cryogenic temperature DC-IV measurements and compact modeling of n-channel bulk FinFETs with 3–4 nm wide fins and 20 nm gate length for quantum computing applications ', Solid-State Electronics , vol. 185, 108089.

Environmental Sound Recognition on Embedded Systems: From FPGAs to TPUs

Vandendriessche, J , Wouters, N , da Silva, B , Lamrini, M , Chkouri, MY & Touhafi, A 2021, ' Environmental Sound Recognition on Embedded Systems: From FPGAs to TPUs ', Electronics (Switzerland) , vol. 10, no. 21, 2622, pp. 1-32.

Environmental Sound Recognition on Embedded Systems: From FPGAs to TPUs

Vandendriessche, J , Wouters, N , da Silva, B , Lamrini, M , Chkouri, MY & Touhafi, A 2021, ' Environmental Sound Recognition on Embedded Systems: From FPGAs to TPUs ', Electronics (Switzerland) , vol. 10, no. 21, 2622, pp. 1-32.

An Introduction to the JPEG Fake Media Initiative

Temmermans, F , Bhowmik, D, Pereira, F & Ebrahimi, T 2021, An Introduction to the JPEG Fake Media Initiative . in 2021 IEEE 4th International Conference on Multimedia Information Processing and Retrieval (MIPR). Proceedings - 4th International Conference on Multimedia Information Processing and Retrieval, MIPR 2021, IEEE, pp. 406-411, International Conference on Multimedia Information Processing and Retrieval (MIPR), 8/09/21 .

Aspect-based Sentiment Analysis with Weighted Relational Graph Attention Network

Huo, Y, Jiang, D & Sahli, H 2021, Aspect-based Sentiment Analysis with Weighted Relational Graph Attention Network . in International Conference on Multimodal Interaction. ICMI 2021 Companion - Companion Publication of the 2021 International Conference on Multimodal Interaction, ACM Digital Library, pp. 63-70, International Conference on Multimodal Interaction, Montreal , Canada, 16/07/21 .

Autonomous Assembly Planning of Demonstrated Skills with Reinforcement Learning in Simulation

De Winter, J , El Makrini, I , Van de Perre, G , Nowe, A , Verstraten, T & Vanderborght, B 2021, ' Autonomous Assembly Planning of Demonstrated Skills with Reinforcement Learning in Simulation ', Autonomous Robots , vol. 45, no. 8, pp. 1097-1110.

VR-enhanced walking in people post-stroke: effect of optic flow speed on the gait biomechanics.

De Keersmaecker, E , Lefeber, N , Jansen, B , Rodriguez Guerrero, CD , Kerckhofs, E & Swinnen, E 2021, ' VR-enhanced walking in people post-stroke: effect of optic flow speed on the gait biomechanics. ', ESMAC annual meeting, 14/10/21 .

AITIA: Embedded AI Techniques for Industrial Applications

Brandalero, M, Veleski, M, Muñoz Hernandez, HG, Ali, M, Le Jeune, L, Goedeme, T, Mentens, N , Vandendriessche, J , Lhoest, LC , da Silva, B , Touhafi, A , Goehringer, D & Hubner, M 2021, AITIA: Embedded AI Techniques for Industrial Applications . in 31st International Conference on Field-Programmable Logic and Applications (FPL). 31 edn, 2021 31ST INTERNATIONAL CONFERENCE ON FIELD-PROGRAMMABLE LOGIC AND APPLICATIONS (FPL 2021), IEEE, Dresden, Germany, pp. 374-375, 31st International Conference on Field-Programmable Logic and Applications , Dresden, Germany, 30/08/21 .

A 12 Bit 4.7-MS/s 260.5µW Digital Feed-Forward Incremental-S?-SAR ADC in 0.13µm CMOS for Image Sensors

Frazzica, F, Yasue, T, Spagnolo, A, Bello, DSS, De Bock, M, Craninckx, J & Wambacq, P 2021, ' A 12 Bit 4.7-MS/s 260.5µW Digital Feed-Forward Incremental-S?-SAR ADC in 0.13µm CMOS for Image Sensors ', IEEE Sensors Journal , vol. 21, no. 19, pp. 21653-21666.

A 12 Bit 4.7-MS/s 260.5-mu W Digital Feed-Forward Incremental-Sigma Delta-SAR ADC in 0.13-mu m CMOS for Image Sensors

Frazzica, F, Yasue, T, Spagnolo, A, Bello, DSS, De Bock, M, Craninckx, J & Wambacq, P 2021, ' A 12 Bit 4.7-MS/s 260.5µW Digital Feed-Forward Incremental-S?-SAR ADC in 0.13µm CMOS for Image Sensors ', IEEE Sensors Journal , vol. 21, no. 19, pp. 21653-21666.

Illumination-invariant road detection and tracking using LWIR polarization characteristics

Li, N, Zhao, Y, Pan, Q, Kong, S & Chan, JC-W 2021, ' Illumination-invariant road detection and tracking using LWIR polarization characteristics ', ISPRS Journal of Photogrammetry and Remote Sensing , vol. 180, pp. 357-369.

Archetypal Analysis and Structured Sparse Representation for Hyperspectral Anomaly Detection

Zhao, G, Li, F, Zhang, X, Laakso, K & Chan, JC-W 2021, ' Archetypal Analysis and Structured Sparse Representation for Hyperspectral Anomaly Detection ', Remote Sensing , vol. 13, no. 20, 4102.

Evaluation framework for sub-daily rainfall extremes simulated by regional climate models

Van de Vyver, H, Van Schaeybroeck, B, De Troch, R , De Cruz, L , Hamdi, R, Villanueva-Birriel, C, Marbaix, P, van Ypersele, J-P, Wouters, H, Vanden Broucke, S, van Lipzig, NPM, Doutreloup, S, Wyard, C, Scholzen, C, Fettweis, X, Caluwaerts, S & Termonia, P 2021, ' Evaluation framework for subdaily rainfall extremes simulated by regional climate models ', Journal of Applied Meteorology and Climatology , vol. 60, no. 10, pp. 1423-1442.

Registration of magnetic resonance and computed tomography images in patients with oral squamous cell carcinoma for three-dimensional virtual planning of mandibular resection and reconstruction

Polfliet, M, Hendriks, MS, Guyader, J-M, ten Hove, I, Mast, H , Vandemeulebroucke, J , van der Lugt, A, Wolvius, EB & Klein, S 2021, ' Registration of magnetic resonance and computed tomography images in patients with oral squamous cell carcinoma for three-dimensional virtual planning of mandibular resection and reconstruction ', International Journal of Oral and Maxillofacial Surgery , vol. 50, no. 10, pp. 1386-1393.

Using clinical guidelines and card sheets for guiding the design of data-driven clinical pathways

Tegenaw, GS , Amenu, D, Ketema, G , Verbeke, F , Cornelis, J & Jansen, B 2021, ' Using clinical guidelines and card sheets for guiding the design of data-driven clinical pathways ', Journal of Health Informatics in Developing Countries , vol. 15, no. 2. < https://www.jhidc.org/index.php/jhidc/article/view/343 >

Evaluation framework for subdaily rainfall extremes simulated by regional climate models

Van de Vyver, H, Van Schaeybroeck, B, De Troch, R , De Cruz, L , Hamdi, R, Villanueva-Birriel, C, Marbaix, P, van Ypersele, J-P, Wouters, H, Vanden Broucke, S, van Lipzig, NPM, Doutreloup, S, Wyard, C, Scholzen, C, Fettweis, X, Caluwaerts, S & Termonia, P 2021, ' Evaluation framework for subdaily rainfall extremes simulated by regional climate models ', Journal of Applied Meteorology and Climatology , vol. 60, no. 10, pp. 1423-1442.

Transistor modelling for mm-Wave technology pathfinding

Parvais, B , Elkashlan, R, Yu, H, Sibaja-Hernandez, A, Vermeersch, B, Putcha, V, Cardinael, P, Rodriguez, R, Khaled, A, Alian, A, Peralagu, U, Zhao, M, Yadav, S, Gramegna, G, Driessche, JV & Collaert, N 2021, Transistor modelling for mm-Wave technology pathfinding . in SISPAD 2021 - 2021 International Conference on Simulation of Semiconductor Processes and Devices, Proceedings. International Conference on Simulation of Semiconductor Processes and Devices, SISPAD, vol. 2021-September, Institute of Electrical and Electronics Engineers Inc., pp. 247-250, 26th International Conference on Simulation of Semiconductor Processes and Devices, SISPAD 2021, Dallas, United States, 27/09/21 .

Comprehensive Performance Analysis of Objective Quality Metrics for Digital Holography

Ahar, A , Birnbaum, T , Chlipala, M, Zaperty, W , Mahmoudpour, S , Kozacki, T, Kujawinska, M & Schelkens, P 2021, ' Comprehensive Performance Analysis of Objective Quality Metrics for Digital Holography ', Signal Processing: Image Communication , vol. 97, no. 0923-5965, 116361, pp. 116361.

Multipath Ghost Recognition for Indoor MIMO Radar

Feng, R, De Greef, E, Rykunov, M , Sahli, H , Pollin, S & Bourdoux, A 2021, ' Multipath Ghost Recognition for Indoor MIMO Radar ', IEEE Transactions on Geoscience and Remote Sensing , vol. 60.

The Mind’s Eye: Visualizing Class-Agnostic Features of CNNS

Stergiou, A 2021, The Mind’s Eye: Visualizing Class-Agnostic Features of CNNS . in 2021 IEEE International Conference on Image Processing (ICIP). Proceedings - International Conference on Image Processing, ICIP, vol. 2021-September, pp. 2738-2742.

A 67mW D-band FMCW I/Q Radar Receiver with an N-path Spillover Notch Filter in 28nm CMOS

Kankuppe Raghavendra Swamy, A, Park, S, Vaesen, K, Park, D-W, van Liempd, B , Wambacq, P & Craninckx, J 2021, A 67mW D-band FMCW I/Q Radar Receiver with an N-path Spillover Notch Filter in 28nm CMOS . in IEEE 47th European Solid State Circuits Conference (ESSCIRC), 2021. ESSCIRC 2021 - IEEE 47th European Solid State Circuits Conference, Proceedings, IEEE, pp. 471-474, IEEE 47th European Solid State Circuits Conference (ESSCIRC), 2021, 13/09/21 .

A 55–63 GHz fundamental Quad-Core VCO with NMOS-only stacked oscillator in 28 nm CMOS

Balamurali, S , Tsai, C-H , Mangraviti, G , Wambacq, P & Craninckx, J 2021, A 55–63 GHz fundamental Quad-Core VCO with NMOS-only stacked oscillator in 28 nm CMOS . in A 55–63 GHz fundamental Quad-Core VCO with NMOS-only stacked oscillator in 28 nm CMOS. ESSCIRC 2021 - IEEE 47th European Solid State Circuits Conference, Proceedings, IEEE, pp. 295-298, IEEE 47th European Solid State Circuits Conference (ESSCIRC), 2021, 13/09/21 .

A 47.5MHz BW 4.7mW 67dB SNDR Ringamp Based Discrete-Time Delta Sigma ADC

Moura Santana, L, Martens, E, Lagos Benites, JL, Hershberg, B , Wambacq, P & Craninckx, J 2021, A 47.5MHz BW 4.7mW 67dB SNDR Ringamp Based Discrete-Time Delta Sigma ADC . in ESSCIRC 2021 - IEEE 47th European Solid State Circuits Conference (ESSCIRC). ESSCIRC 2021 - IEEE 47th European Solid State Circuits Conference, Proceedings, IEEE, Grenoble, France, pp. 207-210, IEEE 47th European Solid State Circuits Conference, Grenoble, France, 13/09/21 .

MosAIc: A Classical Machine Learning Multi-Classifier Based Approach against Deep Learning Classifiers for Embedded Sound Classification

Lhoest, L , Lamrini, M , Vandendriessche, J , Wouters, N , Silva, BD , Chkouri, MY & Touhafi, A 2021, ' MosAIc: A Classical Machine Learning Multi-Classifier Based Approach against Deep Learning Classifiers for Embedded Sound Classification ', Applied Sciences (Switzerland) , vol. 11, no. 18, 8394, pp. 1-27.

Walking with immersive virtual reality: the effect of optic flow speed on spatiotemporal gait parameters in people post-stroke.

De Keersmaecker, E , Serrien, B , Rodriguez Cianca, D, Lefeber, N, Cuypers, L , Kerckhofs, E , Rodriguez Guerrero, CD , Jansen, B & Swinnen, E 2021, ' Walking with immersive virtual reality: the effect of optic flow speed on spatiotemporal gait parameters in people post-stroke. ', International Conference on Disability, Virtual Reality and Associated Technologies, 10/09/21 .

MosAIc: A Classical Machine Learning Multi-Classifier Based Approach against Deep Learning Classifiers for Embedded Sound Classification

Lhoest, L , Lamrini, M , Vandendriessche, J , Wouters, N , Silva, BD , Chkouri, MY & Touhafi, A 2021, ' MosAIc: A Classical Machine Learning Multi-Classifier Based Approach against Deep Learning Classifiers for Embedded Sound Classification ', Applied Sciences (Switzerland) , vol. 11, no. 18, 8394, pp. 1-27.

Brain age as a surrogate marker for information processing speed in multiple sclerosis

Denissen, S , Engemann, DA, Cock, AD , Costers, L , Baijot, J , Laton, J , Penner, IK, Grothe, M, Kirsch, M, D’hooghe, MB, D’Haeseleer, M, Dive, D, Mey, JD , Schependom, JV , Sima, DM & Nagels, G 2021, Brain age as a surrogate marker for information processing speed in multiple sclerosis . MedRxiv.

Non-Invasive Intra-Abdominal Pressure Measurement by Means of Transient Radar Method: In Vitro Validation of a Novel Radar-Based Sensor

Tayebi, S , Pourkazemi, A , Malbrain, M & Stiens, J 2021, ' Non-Invasive Intra-Abdominal Pressure Measurement by Means of Transient Radar Method: In Vitro Validation of a Novel Radar-Based Sensor ', Sensors (Basel, Switzerland) , vol. 21, no. 18, 5999.

Decision Making in Multi-Objective Multi-Agent Systems: A Utility-Based Perspective

Radulescu, R 2021, ' Decision Making in Multi-Objective Multi-Agent Systems: A Utility-Based Perspective ', Doctor of Sciences, Vrije Universiteit Brussel, Brussels. < https://ai.vub.ac.be/wp-content/uploads/2021/08/Radulescu_PhD.pdf >

Evaluation of a no-reference image quality metric for projection X-ray imaging using a 3D printed patient-specific phantom

Buytaert, D, Taeymans, Y, De Wolf, D & Bacher, K 2021, ' Evaluation of a no-reference image quality metric for projection X-ray imaging using a 3D printed patient-specific phantom ', Physica Medica , vol. 89, pp. 29-40.

Low-Frequency noise investigation of AlGaN/GaN high-electron-mobility transistors

Glória Caño de Andrade, M, Felipe de Oliveira Bergamim, L, Baptista Júnior, B, Roberto Nogueira, C, Alex da Silva, F, Takakura, K , Parvais, B & Simoen, E 2021, ' Low-Frequency noise investigation of AlGaN/GaN high-electron-mobility transistors ', Solid-State Electronics , vol. 183, 108050.

Analog performance of GaN/AlGaN high-electron-mobility transistors

de Oliveira Bergamim, LF , Parvais, B , Simoen, E & Caño de Andrade, MG 2021, ' Analog performance of GaN/AlGaN high-electron-mobility transistors ', Solid-State Electronics , vol. 183, 108048.

The interrelationship between grip work, self-perceived fatigue and pre-frailty in community-dwelling octogenarians

Gerontopole Brussels Study group , Knoop, V , Costenoble, A , Debain, A , Vella Azzopardi, R , Vermeiren, S , van Laere, S , Jansen, B , Scafoglieri, A , Bautmans, I , Verté, D , Beyer, I , Petrovic, M , De Donder, L , Kardol, T , Rossi, G , Clarys, P , Cattrysse, E & de Hert, P 2021, ' The interrelationship between grip work, self-perceived fatigue and pre-frailty in community-dwelling octogenarians ', Experimental Gerontology , vol. 152, 111440.

The interrelationship between grip work, self-perceived fatigue and pre-frailty in community-dwelling octogenarians

Gerontopole Brussels Study group , Knoop, V , Costenoble, A , Debain, A , Vella Azzopardi, R , Vermeiren, S , van Laere, S , Jansen, B , Scafoglieri, A , Bautmans, I , Verté, D , Beyer, I , Petrovic, M , De Donder, L , Kardol, T , Rossi, G , Clarys, P , Cattrysse, E & de Hert, P 2021, ' The interrelationship between grip work, self-perceived fatigue and pre-frailty in community-dwelling octogenarians ', Experimental Gerontology , vol. 152, 111440.

Action Unit Driven Facial Expression Synthesis from a Single Image with Patch Attentive GAN

Zhao, Y , Yang, L, Pei, E , Oveneke, MC , Alioscha-Perez, M, Jiang, D , Sahli, H & Li , L 2021, ' Action Unit Driven Facial Expression Synthesis from a Single Image with Patch Attentive GAN ', Computer Graphics Forum , vol. 40, no. 6, pp. 47-61.

Current-assisted SPAD sensors fabricated in conventional CMOS process

Jegannathan, G 2021, ' Current-assisted SPAD sensors fabricated in conventional CMOS process ', Doctor of Engineering Sciences, Vrije Universiteit Brussel, Brussels.

"Novel pulse-driver circuits to power VCSEL arrays"

Jegannathan, G 2021, ' Current-assisted SPAD sensors fabricated in conventional CMOS process ', Doctor of Engineering Sciences, Vrije Universiteit Brussel, Brussels.

A Deep Learning Multimodal Method for Precipitation Estimation

Moraux, A , Dewitte, S , Cornelis, B & Munteanu, A 2021, ' A Deep Learning Multimodal Method for Precipitation Estimation ', Remote Sensing , vol. 13, no. 16, 3278.

Deep Learning-Based Automated Extraction of Anthropometric Measurements from a Single 3D Scan

Nourbakhsh Kaashki, N , Hu, P & Munteanu, A 2021, ' Deep Learning-Based Automated Extraction of Anthropometric Measurements from a Single 3D Scan ', IEEE Transactions on Instrumentation and Measurement , vol. 70, 9517270.

A Review on Fact Extraction and Verification

Bekoulis, I, Papagiannopoulou, C & Deligiannis, N 2021, ' A Review on Fact Extraction and Verification ', ACM Computing Surveys , pp. 1-35. < https://arxiv.org/pdf/2010.03001.pdf >

NDT inspection on TRC and precast concrete sandwich panels: A review

Ospitia, N , Tsangouri, E , Pourkazemi, A , Stiens, J & Angelis, D 2021, ' NDT inspection on TRC and precast concrete sandwich panels: A review ', Construction and Building Materials , vol. 296, 123622.

JPEG Fake Media: a provenance-based sustainable approach to secure and trustworthy media annotation

Temmermans, F , Bhowmik, D, Pereira, F & Ebrahimi, T 2021, JPEG Fake Media: a provenance-based sustainable approach to secure and trustworthy media annotation . in AG Tescher & T Ebrahimi (eds), Applications of Digital Image Processing XLIV. vol. 11842, 118420L, Proceedings of SPIE - The International Society for Optical Engineering, vol. 11842, SPIE, pp. 1-10, SPIE Optical Engineering + Applications, San Diego, United States, 1/08/21 .

Adopting the JPEG universal metadata box format for media authenticity annotations

Temmermans, F & Rosenthol, L 2021, Adopting the JPEG universal metadata box format for media authenticity annotations . in AG Tescher & T Ebrahimi (eds), Applications of Digital Image Processing XLIV. vol. 11842, 118420M, Proceedings of SPIE - The International Society for Optical Engineering, vol. 11842, SPIE, SPIE Optical Engineering + Applications, San Diego, United States, 1/08/21 .

Interpreting a black box predictor to gain insights into early folding mechanisms

Grau, I , Nowé, A & Vranken, W 2021, ' Interpreting a black box predictor to gain insights into early folding mechanisms ', Computational and Structural Biotechnology Journal , vol. 19, pp. 4919-4930.

The effect of augmented reality on the accuracy and learning curve of external ventricular drain placement

Van Gestel, F , Frantz, T , Vannerom, C , Verhellen, A , Gallagher, AG , Elprama, SA , Jacobs, A , Buyl, R , Bruneau, M , Jansen, B , Vandemeulebroucke, J , Scheerlinck, T & Duerinck, J 2021, ' The effect of augmented reality on the accuracy and learning curve of external ventricular drain placement ', Neurosurgical focus , vol. 51, no. 2, E8, pp. 1-9.

Transpulmonary thermodilution during extracorporeal organ support (ECOS): is it worth it?A brief commentary on the effects of the extracorporeal circuit on TPTD-derived parameters

Minini, A , Raes, M , Taccone, FS & Malbrain, MLNG 2021, ' Transpulmonary thermodilution during extracorporeal organ support (ECOS): is it worth it?A brief commentary on the effects of the extracorporeal circuit on TPTD-derived parameters ', Journal of Clinical Monitoring and Computing , vol. 35, no. 4, pp. 681-687.

On Nash Equilibria for Multi-Objective Normal Form Games under Scalarised Expected Returns versus Expected Scalarised Returns

Röpke, W , Roijers, DM , Nowe, A & Radulescu, R 2021, ' On Nash Equilibria for Multi-Objective Normal Form Games under Scalarised Expected Returns versus Expected Scalarised Returns ', Paper presented at Multi-Objective Decision Making Workshop 2021, 14/07/21 - 16/07/21 . < http://modem2021.cs.nuigalway.ie/papers/MODeM_2021_paper_4.pdf >

On Following Pareto-Optimal Policies in Multi-Objective Planning and Reinforcement Learning

Roijers, DM , Röpke, W , Nowe, A & Radulescu, R 2021, ' On Following Pareto-Optimal Policies in Multi-Objective Planning and Reinforcement Learning ', Paper presented at Multi-Objective Decision Making Workshop 2021, 14/07/21 - 16/07/21 . < http://modem2021.cs.nuigalway.ie/papers/MODeM_2021_paper_3.pdf >

Security enhanced Emergency Situation Detection System for Ambient Assisted Living

Shabisha, P, Sandeepa, C, Moremada, C, Dissanayaka, N, Gamage, T , Braeken, A , Steenhaut, K & Liyanage, M 2021, ' Security enhanced Emergency Situation Detection System for Ambient Assisted Living ', IEEE Open Journal on the Computer Society , vol. 2, 9477028, pp. 241-259.

Fast Low-Precision Computer-Generated Holography on GPU

Blinder, D & Schelkens, P 2021, ' Fast Low-Precision Computer-Generated Holography on GPU ', Applied Sciences , vol. 11, no. 13, 6235.

An Overview of CMOS Photodetectors Utilizing Current-Assistance for Swift and Efficient Photo-Carrier Detection

Jegannathan, G , Ingelberts, H , Boulanger, S , Lapauw, T , Van Den Dries, T , Seliuchenko, V & Kuijk, M 2021, ' An Overview of CMOS Photodetectors Utilizing Current-Assistance for Swift and Efficient Photo-Carrier Detection ', Sensors (Basel, Switzerland) , vol. 21, no. 13, 4576.

Distinguishing original and non-original stands at the Zhanjiang Mangrove National Nature Reserve (P.R. China): remote sensing and GIS for conservation and ecological research

Durango Cordero, JS, Satyanarayana, B , Chan, JC-W , Bogaert, J & Dahdouh Guebas, F 2021, ' Distinguishing original and non-original stands at the Zhanjiang Mangrove National Nature Reserve (P.R. China): remote sensing and GIS for conservation and ecological research ', Remote Sensing , vol. 13, no. 14, 2781, pp. 1-22.

A 28-nm-CMOS Based 145-GHz FMCW Radar: System, Circuits, and Characterization

Visweswaran, A, Vaesen, K, Glassee, M, Kankuppe Raghavendra Swamy, A, Sinha, S, Desset, C, Gielen, T, Bourdoux, A & Wambacq, P 2021, ' A 28-nm-CMOS Based 145-GHz FMCW Radar: System, Circuits, and Characterization ', IEEE Journal of Solid-State Circuits , vol. 56, no. 7, 9316217, pp. 1975-1993.

Hip implants can restore anatomical and medialized rotation centres in most cases: a 3D templating study comparing four implantation strategies

Scheerlinck, T , De Winter, E, Sas, A, Kolk, S , Van Gompel, G & Vandemeulebroucke, J 2021, ' Hip implants can restore anatomical and medialized rotation centres in most cases: a 3D templating study comparing four implantation strategies ', Bone & joint open , vol. 2, no. 7, pp. 476-485.

Repeatability and reproducibility of ADC measurements: a prospective multicenter whole-body-MRI study

Michoux, NF , Ceranka, JW , Vandemeulebroucke, J , Peeters, F, Lu, P, Absil, J, Triqueneaux, P, Collette, L , Willekens, I , Brussaard, C , Debeir, O, Hahn, S , Raeymaekers, H , de Mey, J , Metens, T & Lecouvet, FE 2021, ' Repeatability and reproducibility of ADC measurements: a prospective multicenter whole-body-MRI study ', European Radiology , vol. 31, no. 7, pp. 4514-4527.

Validation of dynamic subjective quality assessment methodology for holographic coding solutions

Ahar, A, Pereira, M , Birnbaum, T , Pinheiro, A & Schelkens, P 2021, Validation of dynamic subjective quality assessment methodology for holographic coding solutions . in 2021 13th International Conference on Quality of Multimedia Experience, QoMEX 2021. , 9465388, 2021 13th International Conference on Quality of Multimedia Experience, QoMEX 2021, IEEE, pp. 7-12, Qomex 2021 (International Conference on Quality of Multimedia Experience), 14/06/21 .

ELASTIC AND ELECTROMAGNETIC WAVE MONITORING OF TRC DURING CURING

Ospitia, N , Tsangouri, E , Stiens, J , Pourkazemi, A & Angelis, D 2021, ELASTIC AND ELECTROMAGNETIC WAVE MONITORING OF TRC DURING CURING . in Conference proceedings Ferro13. Rutgers University, pp. 356-363, THE 13TH INTERNATIONAL SYMPOSIUM ON FERROCEMENT AND THIN FIBER REINFORCED INORGANIC MATRICES LYON, FRANCE, JUNE 21-23, 2021, Lyon, France, 21/06/21 .

Opponent Learning Awareness and Modelling in Multi-Objective Normal Form Games

Radulescu, R , Verstraeten, T , Zhang, Y, Mannion, P , Roijers, DM & Nowe, A 2021, ' Opponent Learning Awareness and Modelling in Multi-Objective Normal Form Games ', Neural Computing & Applications , vol. 34, no. 3, pp. 1759-1781.

Solid state qubits: How learning from CMOS fabrication can speed-up progress in Quantum Computing

Radu, IP, Li, R, Potocnik, A, Ivanov, T, Wan, D, Kubicek, S, Dumoulin Stuyck, NI, Verjauw, J, Jussot, J, Canvel, Y, Godfrin, C, Mongillo, M, Acharya, R, Elsayed, A, Shehata, M, Piao, X, Pacco, A, Souriau, L, Couet, S, Chan, BT, Craninckx, J , Parvais, B , Grill, A, Narasimhamoorthy, S, Van Winckel, S, Brebels, S, Mohiyaddin, FA, Simion, G & Govoreanu, B 2021, Solid state qubits: How learning from CMOS fabrication can speed-up progress in Quantum Computing . in 2021 Symposium on VLSI Circuits, VLSI Circuits 2021. , 9492397, IEEE Symposium on VLSI Circuits, Digest of Technical Papers, vol. 2021-June, Institute of Electrical and Electronics Engineers Inc., 35th Symposium on VLSI Circuits, VLSI Circuits 2021, Virutal, Online, 13/06/21 .

A Performance Comparison of Virtualization Techniques to Deploy a 5G Monitoring Platform

Benedetti, P, Perez, R, Pergolesi, M, Garcia-Reinoso, J, Zabala, A, Serrano, P, Femminella, M, Reali, G & Banchs, A 2021, A Performance Comparison of Virtualization Techniques to Deploy a 5G Monitoring Platform . in 2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit). , 9482570, 2021 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2021, IEEE, pp. 472-477, 2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), Porto, Portugal, 8/06/21 .

A 39GHz T/R front-end module achieving 25.6% PAEmax, 20dBm Psat, 5.7dB NF, and -13dBm IIP3 in 22nm FD-SOI for 5G communications

Zong, Z, Nguyen, J, Liu, Y, Zhang, Y, Tang, X, Mangraviti, G & Wambacq, P 2021, A 39GHz T/R front-end module achieving 25.6% PAEmax, 20dBm Psat, 5.7dB NF, and -13dBm IIP3 in 22nm FD-SOI for 5G communications . in 2021 IEEE Radio Frequency Integrated Circuits Symposium, RFIC 2021. , 9490466, 2021 IEEE RADIO FREQUENCY INTEGRATED CIRCUITS SYMPOSIUM (RFIC), IEEE, pp. 23-26, 2021 IEEE Radio Frequency Integrated Circuits Symposium (RFIC), Atlanta, United States, 7/06/21 .

A 140 GHz T/R Front-End Module in 22 nm FD-SOI CMOS

Tang, X, Nguyen, J, Mangraviti, G, Zong, Z & Wambacq, P 2021, A 140 GHz T/R Front-End Module in 22 nm FD-SOI CMOS . in 2021 IEEE Radio Frequency Integrated Circuits Symposium, RFIC 2021. , 9490470, 2021 IEEE RADIO FREQUENCY INTEGRATED CIRCUITS SYMPOSIUM (RFIC), IEEE, pp. 35-38, 2021 IEEE Radio Frequency Integrated Circuits Symposium (RFIC), Atlanta, United States, 7/06/21 .

A Wideband 62-mW 60-GHz FMCW Radar in 28-nm CMOS

Kankuppe Raghavendra Swamy, A, Park, S, Renukaswamy, PT , Wambacq, P & Craninckx, J 2021, ' A Wideband 62-mW 60-GHz FMCW Radar in 28-nm CMOS ', IEEE Transactions on Microwave Theory and Techniques , vol. 69, no. 6, 9425024, pp. 2921-2935.

Time Evolution of DIBL in Gate-All-Around Nanowire MOSFETs during Hot-Carrier Stress

Gupta, A, Gupta, C, Veloso, A , Parvais, B & Dixit, A 2021, ' Time Evolution of DIBL in Gate-All-Around Nanowire MOSFETs during Hot-Carrier Stress ', IEEE Transactions on Electron Devices , vol. 68, no. 6, 9424168, pp. 2641-2646.

Understanding the Impact of Evidence-Aware Sentence Selection for Fact Checking

Bekoulis, I, Papagiannopoulou, C & Deligiannis, N 2021, Understanding the Impact of Evidence-Aware Sentence Selection for Fact Checking . in A Feldman, G Da San Martino, C Leberknight & P Nakov (eds), Proceedings of the Fourth Workshop on NLP for Internet Freedom: Censorship, Disinformation, and Propaganda. NLP4IF 2021 - NLP for Internet Freedom: Censorship, Disinformation, and Propaganda, Proceedings of the 4th Workshop, Association for Computational Linguistics, pp. 23-28, 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics, 6/06/21 . < https://www.aclweb.org/anthology/2021.nlp4if-1.4.pdf >

Learning to Estimate the Body Shape Under Clothing from a Single 3D Scan

Hu, P , Nourbakhsh Kaashki, N , Dadarlat, V & Munteanu, A 2021, ' Learning to Estimate the Body Shape Under Clothing from a Single 3D Scan ', IEEE transactions on industrial informatics , vol. 17, no. 6, 9166710, pp. 3793-3802.

Evolution of lung function and chest CT 6 months after COVID-19 pneumonia: Real-life data from a Belgian University Hospital

Stylemans, D , Smet, J , Hanon, S , Schuermans, D , Ilsen, B , Vandemeulebroucke, J , Vanderhelst, E & Verbanck, S 2021, ' Evolution of lung function and chest CT 6 months after COVID-19 pneumonia: Real-life data from a Belgian University Hospital ', Respiratory Medicine , vol. 182, 106421.

Design and Analysis of a 28 GHz T/R Front-End Module in 22-nm FD-SOI CMOS Technology

Tang, X, Liu, Y, Mangraviti, G, Zong, Z, Khalaf, K, Zhang, Y, Wu, W-M, Chen, S-H, Debaillie, B & Wambacq, P 2021, ' Design and Analysis of a 28 GHz T/R Front-End Module in 22-nm FD-SOI CMOS Technology ', IEEE Transactions on Microwave Theory and Techniques , vol. 69, no. 6, 9366313, pp. 2841-2853.

A 28-GHz SOI-CMOS Doherty Power Amplifier With a Compact Transformer-Based Output Combiner

Zong, Z, Tang, X, Khalaf, K , Yan, D , Mangraviti, G, Nguyen, J, Liu, Y & Wambacq, P 2021, ' A 28-GHz SOI-CMOS Doherty Power Amplifier With a Compact Transformer-Based Output Combiner ', IEEE Transactions on Microwave Theory and Techniques , vol. 69, no. 6, 9380573, pp. 2795-2808.

Combining mobile air quality sensor data and machine learning for more fine-grained air quality assessments in urban areas

Hofman, J, Nikolaou, M, Do Huu, T, Qin, X , Rodrigo Bonet, E , Philips, W , Deligiannis, N & Panzica La Manna, V 2021, Combining mobile air quality sensor data and machine learning for more fine-grained air quality assessments in urban areas . in Meteorology and Climate Modeling for Air Quality Conference . UC Davis Conference Center, pp. 1-1, Meteorology and Climate Modeling for Air Quality Conference , Davis, California, United States, 14/09/21 .

Fractional-N Sub-Sampling PLL Using a Calibrated Delay Line for Phase Noise Cancellation

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A Multi-radar Architecture for Human Activity Recognition in Indoor Kitchen Environments

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Context-aware human trajectories prediction via latent variational model

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Communication Strategies in Multi-Objective Normal-Form Games

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XCycles Backprojection Acoustic Super-Resolution

Almasri, F , Vandendriessche, J , Segers, L , da Silva, B , Braeken, A , Steenhaut, K , Touhafi, A & Debeir, O 2021, ' XCycles Backprojection Acoustic Super-Resolution ', Sensors (Basel, Switzerland) , vol. 21, no. 10, 3453, pp. 1-20.

Evaluating lower limb kinematics and pathology with dynamic CT A NARRATIVE REVIEW

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Photorealistic computer generated holography with global illumination and path tracing

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Attention Networks for the Quality Enhancement of Light Field Images

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Evaluating lower limb kinematics and pathology with dynamic CT

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Object Tracking in Hyperspectral-Oriented Video with Fast Spatial-Spectral Features

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Understanding the memory window in 1T-FeFET memories: A depolarization field perspective

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MaskLayer: Enabling scalable deep learning solutions by training embedded feature sets

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Blue-violet emission of silicon carbonitride thin films prepared by sputtering and annealing treatment

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3DBodyNet: Fast Reconstruction of 3D Animatable Human Body Shape from a Single Commodity Depth Camera

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LTLf-based Reward Shaping for Reinforcement Learning

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Health-aware control using spectral coherence maps and successor features.

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GPU-accelerated calculation of computer-generated holograms for line-drawn objects

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The Effect of Space-filling Curves on the Efficiency of Hand Gesture Recognition Based on sEMG Signals

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Model-predictive control and reinforcement learning in multi-energy system case studies

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reweighted-RNN: An Interpretable Recurrent Neural Network for Video Reconstruction via Deep Unfolding

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Deep-Learning-Based Dynamic Range Compression for 3D Scene Hologram

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Designing Interpretable Recurrent Neural Networks for Video Reconstruction Via Deep Unfolding

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The role of hippocampal theta oscillations in working memory impairment in multiple sclerosis

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Signal quality as Achilles’ heel of graph theory in functional magnetic resonance imaging in multiple sclerosis

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Toward the inclusion of end-to-end security in the OM2M platform

Patonico, S, Nguyen, T-L, Shabisha, P , Braeken, A & Steenhaut, K 2021, ' Toward the inclusion of end-to-end security in the OM2M platform ', Journal of Supercomputing , vol. 77, no. 4, pp. 4056–4080.

On the performance of objective quality metrics for lightfields

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Method for registration of 3D shapes without overlap for known 3D priors

Hu, P & Munteanu, A 2021, ' Method for registration of 3D shapes without overlap for known 3D priors ', Electronics Letters , vol. 57, no. 9, pp. 357-359.

Hilbert sEMG data scanning for hand gesture recognition based on deep learning

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Compact Modeling of Multidomain Ferroelectric FETs: Charge Trapping, Channel Percolation, and Nucleation-Growth Domain Dynamics

Xiang, Y, Bardon, MG, Kaczer, B, Alam, MNK, Ragnarsson, L-A, Kaczmarek, K , Parvais, B , Groeseneken, G & Houdt, JV 2021, ' Compact Modeling of Multidomain Ferroelectric FETs: Charge Trapping, Channel Percolation, and Nucleation-Growth Domain Dynamics ', IEEE Transactions on Electron Devices , vol. 68, no. 4, 9336322, pp. 2107-2115.

A survey of iris datasets

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A Multi-Agent Reinforcement Learning Approach to Wind Farm Control

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Evaluation of regional climate models ALARO-0 and REMO2015 at 0.22° resolution over the CORDEX Central Asia domain

Top, S, Kotova, L , De Cruz, L , Aniskevich, S, Bobylev, L, De Troch, R, Gnatiuk, N, Gobin, A, Hamdi, R, Kriegsmann, A, Reca Remedio, A, Sakalli, A, Van De Vyver, H, Van Schaeybroeck, B, Zandersons, V, De Maeyer, P, Termonia, P & Caluwaerts, S 2021, ' Evaluation of regional climate models ALARO-0 and REMO2015 at 0.22° resolution over the CORDEX Central Asia domain ', Geoscientific Model Development , vol. 14, no. 3, pp. 1267-1293.

Street-level Air Quality Inference Based on Geographically Context-aware Random Forest Using Opportunistic Mobile Sensor Network

Qin, X, Do Huu, T, Hofman, J , Rodrigo Bonet, E , Panzica La Manna, V , Deligiannis, N & Philips, W 2021, Street-level Air Quality Inference Based on Geographically Context-aware Random Forest Using Opportunistic Mobile Sensor Network . in International Conference on Innovation in Artificial Intelligence (ICIAI 2021).. Association for Computing Machinery (ACM), pp. 1-10, 2021 International Conference on Innovation in Artificial Intelligence, China, 5/03/21 .

Time Slotted Channel Hopping and ContikiMAC for IPv6 Multicast-Enabled Wireless Sensor Networks

Hunde, E , Deac, D , Thielemans, S , Carlier, M , Steenhaut, K , Braeken, A & Dobrota, V 2021, ' Time Slotted Channel Hopping and ContikiMAC for IPv6 Multicast-Enabled Wireless Sensor Networks ', Sensors , vol. 21, no. 5, 1771, pp. 1-27.

A Systematic Literature Review of the Successors of ‘NeuroEvolution of Augmenting Topologies’

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Reliability and Variability-Aware DTCO Flow: Demonstration of Projections to N3 FinFET and Nanosheet Technologies

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On the impact of buffer and GaN-channel thickness on current dispersion for GaN-on-Si RF/mmWave devices

Putcha, V, Cheng, L, Alian, A, Zhao, M, Lu, H , Parvais, B , Waldron, N, Linten, D & Collaert, N 2021, On the impact of buffer and GaN-channel thickness on current dispersion for GaN-on-Si RF/mmWave devices . in 2021 IEEE International Reliability Physics Symposium, IRPS 2021 - Proceedings. , 9405139, IEEE International Reliability Physics Symposium Proceedings, vol. 2021-March, Institute of Electrical and Electronics Engineers Inc., 2021 IEEE International Reliability Physics Symposium, IRPS 2021, Virtual, Monterey, United States, 21/03/21 .

A BSIM-Based Predictive Hot-Carrier Aging Compact Model

Xiang, Y, Tyaginov, S, Vandemaele, M, Wu, Z, Franco, J, Bury, E, Truijen, B , Parvais, B , Linten, D & Kaczer, B 2021, A BSIM-Based Predictive Hot-Carrier Aging Compact Model . in 2021 IEEE International Reliability Physics Symposium, IRPS 2021 - Proceedings. , 9405222, IEEE International Reliability Physics Symposium Proceedings, vol. 2021-March, Institute of Electrical and Electronics Engineers Inc., 2021 IEEE International Reliability Physics Symposium, IRPS 2021, Virtual, Monterey, United States, 21/03/21 .

Experimental Validation of Process-Induced Variability Aware SPICE Simulation Platform for Sub-20 nm FinFET Technologies

Rawat, A, Sharan, N, Jang, D, Chiarella, T, Bufler, FM, Catthoor, F , Parvais, B & Ganguly, U 2021, ' Experimental Validation of Process-Induced Variability Aware SPICE Simulation Platform for Sub-20 nm FinFET Technologies ', IEEE Transactions on Electron Devices , vol. 68, no. 3, 9350200, pp. 976-980.

Fatigue and the prediction of negative health outcomes: a systematic review with meta- analysis: poster

Knoop, V , Cloots, B, Costenoble, A , Debain, A , Vella Azzopardi, R , Vermeiren, S , Jansen, B , Scafoglieri, A & Bautmans, I 2021, ' Fatigue and the prediction of negative health outcomes: a systematic review with meta- analysis: poster ', BVGG-SBGG Wintermeeting 2021, Belgium, 26/02/21 - 27/02/21 .

Spatiotemporal Air Quality Inference of Low-Cost Sensor Data Application on a Cycling Monitoring Network

Hofman, J, Do Huu, T, Qin, X , Rodrigo Bonet, E , Niko-laou, M, Philips, W , Deligiannis, N & Panzica La Manna, V 2021, Spatiotemporal Air Quality Inference of Low-Cost Sensor Data Application on a Cycling Monitoring Network . in A Del Bimbo, R Cucchiara, S Sclaroff, GM Farinella, T Mei, M Bertini, HJ Escalante & R Vezzani (eds), ICPR International Workshops and Challenges: Lecture Notes in Computer Science. vol. 12666, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12666 LNCS, Springer, pp. 139-147, Workshop on "Machine Learning Advances Environmental Science (MAES), Milan, Italy, 10/01/21 .

The Value of Self-Reported Cognitive Performance in low, medium and high EDSS

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Graph convolutional neural networks with node transition probability-based message passing and DropNode regularization

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Brain dysconnectivity relates to disability and cognitive impairment in multiple sclerosis

Sjøgård, M, Wens, V , Van Schependom, J , Costers, L , D'hooghe, M , D'haeseleer, M , Woolrich, M, Goldman, S , Nagels, G & De Tiège, X 2021, ' Brain dysconnectivity relates to disability and cognitive impairment in multiple sclerosis ', Human Brain Mapping , vol. 42, no. 3, pp. 626-643.

A Reflection-Coefficient Sensor for 28GHz Beamforming Transmitters in 22nm FD-SOI CMOS

Zhang, Y, Mangraviti, G, Nguyen, J, Zong, Z & Wambacq, P 2021, ' A Reflection-Coefficient Sensor for 28GHz Beamforming Transmitters in 22nm FD-SOI CMOS ', Digest of technical papers - IEEE International Solid-State Circuits Conference , vol. 64, pp. 360-362.

Correlates of patient-reported cognitive performance with regard to disability

Van Laethem, D , De Cock, A , Van Schependom, J , Benedict, RHB , Nagels, G & D'Hooghe, MB 2021 ' Correlates of patient-reported cognitive performance with regard to disability ' MedRxiv.

The Value of Self-Reported Cognitive Performance in low, medium and high EDSS

Van Laethem, D , De Cock, A , Van Schependom, J , Benedict, RHB , Nagels, G & D'Hooghe, MB 2021 ' Correlates of patient-reported cognitive performance with regard to disability ' MedRxiv.

Smart Textiles and Sensorized Garments for Physiological Monitoring: A Review of Available Solutions and Techniques

Angelucci, A, Cavicchioli, M, Cintorrino, IA, Lauricella, G , Rossi, C , Strati, S & Aliverti, A 2021, ' Smart Textiles and Sensorized Garments for Physiological Monitoring: A Review of Available Solutions and Techniques ', Sensors , vol. 21, no. 3, 814, pp. 1-23.

M3-AC: A Multi-Mode Multithread SoC FPGA Based Acoustic Camera

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A concise overview of non-invasive intra-abdominal pressure measurement techniques: from bench to bedside

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Lightweight PUF based authentication scheme for fog architecture

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A Theoretical Association Time Model for IEEE 802.15. 4 TSCH Networks

Garcia Algora, CM, Ortiz Guerra, E, Montejo-Sánchez, S, García Fernandéz, EM & Steenhaut, K 2021, ' A Theoretical Association Time Model for IEEE 802.15. 4 TSCH Networks ', IEEE communications letters , vol. 25, no. 2, 9234463, pp. 656-659.

A concise overview of non-invasive intra-abdominal pressure measurement techniques: from bench to bedside

Tayebi, S , Gutierrez, A, Mohout, I, Smets, E, Wise, R , Stiens, J & Malbrain, MLNG 2021, ' A concise overview of non-invasive intra-abdominal pressure measurement techniques: from bench to bedside ', Journal of Clinical Monitoring and Computing , vol. 35, no. 1, pp. 51-70.

Experimental Analysis of the Application of Serverless Computing to IoT Platforms

Benedetti, P, Femminella, M, Reali, G & Steenhaut, K 2021, ' Experimental Analysis of the Application of Serverless Computing to IoT Platforms ', Sensors , vol. 21, no. 3, 928, pp. 1-20.

Generalized Boltzmann relations in semiconductors including band tails

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Automatic depression recognition using CNN with attention mechanism from videos

He, L , Chan, JC-W & Wang, Z 2021, ' Automatic depression recognition using CNN with attention mechanism from videos ', Neurocomputing , vol. 422, pp. 165-175.

JPEG Pleno holography: scope and technology validation procedures

Kizhakkumkara Muhamad, R , Birnbaum, T , Gilles, A , Mahmoudpour, S , Oh, K-J, Pereira, M, Perra, C, Pinheiro, A & Schelkens, P 2021, ' JPEG Pleno holography: scope and technology validation procedures ', Applied Optics , vol. 60, no. 3, pp. 641-651.

DC and RF Characterization of Nano-ridge HBT Technology Integrated on 300 mm Si Substrates

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An interactive holographic projection system that uses a hand-drawn interface with a consumer CPU

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Real-Time Instance Segmentation of Traffic Videos for Embedded Devices

Panero Martinez, R, Schiopu, I , Cornelis, B & Munteanu, A 2021, ' Real-Time Instance Segmentation of Traffic Videos for Embedded Devices ', Sensors , vol. 21, no. 1, 275.

Statistical postprocessing for weather forecasts review, challenges, and avenues in a big data world

Vannitsem, S, Bremnes, JB, Demaeyer, J, Evans, GR, Flowerdew, J, Hemri, S, Lerch, S, Roberts, N, Theis, S, Atencia, A, Bouallègue, ZB, Bhend, J, Dabernig, M , de Cruz, L , Hieta, L, Mestre, O, Moret, L, Plenkovic, IO, Schmeits, M, Taillardat, M, van den Bergh, J, van Schaeybroeck, B, Whan, K & Ylhaisi, J 2021, ' Statistical postprocessing for weather forecasts review, challenges, and avenues in a big data world ', Bulletin of the American Meteorological Society , vol. 102, no. 3, pp. E681-E699.

Augmented Reality-Assisted Neurosurgical Drain Placement (ARANED: Technical Note

Van Gestel, F , Frantz, T , Soomro, MH , Elprama, SA , Vannerom, C , Jacobs, A , Vandemeulebroucke, J , Jansen, B , Scheerlinck, T & Duerinck, J 2021, ' Augmented Reality-Assisted Neurosurgical Drain Placement (ARANED): Technical Note ', Acta Neurochirurgica. Supplementum , vol. 131, no. 1, pp. 267-273.

Defect engineering for monolithic integration of III-V semiconductors on silicon substrates

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A Simple Three-Step Approach for the Automatic Detection of Exaggerated Statements in Health Science News

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Deep Reinforcement Learning for Large-Scale Epidemic Control

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Percutaneous tracheostomy for long-term ventilated COVID-19-patients: rationale and first clinical -safe for all- experience

Jonckheere, W , Mekeirele, MMM , Hendrickx, S , Jonckheer, J , Diltoer, M , Ghijselings, I , Raes, M , Vanhonacker, D , Malbrain, M , Foulon, I , Gordts, F , Jacobs-Tulleneers-Thevissen, D , La Meir, M , Nijs, J , Smets, D , Schoneveld, M , Van Eetvelde, E , Vanhoeij, M , Verbruggen, K , Verfaillie, G , Wischmeyer, PE & De Waele, E 2021, ' Percutaneous tracheostomy for long-term ventilated COVID-19-patients: rationale and first clinical -safe for all- experience ', Anaesthesiology Intensive Therapy , vol. 52, no. 5, pp. 366-372.

Interpretable Semi-Supervised Classifier for Predicting Cancer Stages

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Integrating Deep and Shallow Models for Multi-Modal Depression Analysis — Hybrid Architectures

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Deep Reinforcement Learning for Large-Scale Epidemic Control

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Augmented Reality-Assisted Neurosurgical Drain Placement (ARANED): Technical Note

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SMOTE-Based Weighted Deep Rotation Forest for the Imbalanced Hyperspectral Data Classification

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Direct X-ray and electron-beam lithography of halogenated zeolitic imidazolate frameworks

Tu, M, Xia, B, Kravchenko, DE, Tietze, ML, Cruz, AJ, Stassen, I , Hauffman, T , Teyssandier, J, De Feyter, S, Wang, Z, Fischer, RA, Marmiroli, B, Amenitsch, H, Torvisco, A, Velásquez-Hernández, MDJ, Falcaro, P & Ameloot, R 2021, ' Direct X-ray and electron-beam lithography of halogenated zeolitic imidazolate frameworks ', Nature Materials , vol. 20, no. 1, pp. 93-99.

Variational regularization network with attentive deep prior for hyperspectral-multispectral image fusion

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Spatial-spectral structured sparse low-rank representation for hyperspectral image superresolution

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Robust background features extraction through homogeneous region-based joint sparse representation for hyperspectral anomaly detection

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Multilayer sparsity-based tensor decomposition for low-rank tensor completion

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Mosaic convolution-attention network for demosaicing multispectral filter array images

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Device for use in dynamic radiological image acquisition and method of using the device

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A method for a distributed learning

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A method for computing a holographic interference pattern

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Design of VCOs and PAs in 22nm FD-SOI for 5G mm-wave communications

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Refining activation downsampling with SoftPool

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Methods of estimating a bare body shape from a concealed scan of the body

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A method for a distributed learning

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Hemodynamical assessment of below-the-knee arteries from time-resolved CT angiography on a 256-slice CT

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Expanding the viewing angle of holograms using the rotational radial point spread function

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Diffraction limited perspective, numerical reconstruction of macroscopic DH

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Lossless Compression of Binary Holograms with Context Models and Adaptive Segmentation

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A 4.2mW 4K 6-8GHz CMOS LNA for Superconducting Qubit Readout

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Transformer Encoder With Multi-Modal Multi-Head Attention for Continuous Affect Recognition

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On the Generalization and Reliability of Single Radar-Based Human Activity Recognition

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Multi-Radar Fusion for Failure-tolerant Road Target Classification

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Towards more efficient NeuroEvolution: Application on feature selection and classification problems

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Study and analysis of security features for internet of things devices in a ONEM2M-based architecture

Patonico, S 2021, ' Study and analysis of security features for internet of things devices in a ONEM2M-based architecture ', Vrije Universiteit Brussel, Brussels.

Multi-agent reinforcement learning voor het besturen van windparken

Verstraeten, T 2021, ' Multi-agent reinforcement learning voor het besturen van windparken ', Vrije Universiteit Brussel.

Internet of things as foundation for building automation. A focus on DC-based smart lighting.

Thielemans, S 2021, ' Internet of things as foundation for building automation. A focus on DC-based smart lighting. ', Vrije Universiteit Brussel.

Graph-based Deep Learning for Social Media and Smart City Data Analytics

Do Huu, T 2021, ' Graph-based Deep Learning for Social Media and Smart City Data Analytics ', Vrije Universiteit Brussel, Brussels.

Computer-aided detection of lung nodules from CT imaging

Sóñora Mengana, A 2021, ' Computer-aided detection of lung nodules from CT imaging ', Vrije Universiteit Brussel.

Active Pixels for High Dynamic range and 3D Imaging Applications

Seliuchenko, V 2021, ' Active Pixels for High Dynamic range and 3D Imaging Applications ', Vrije Universiteit Brussel, Brussels.

DEEP LEARNING TOOLS FOR HEVC-BASED VIDEO CODING

Huang, H 2021, ' DEEP LEARNING TOOLS FOR HEVC-BASED VIDEO CODING ', Vrije Universiteit Brussel, Brussels.

Learning to predict human behavior in crowded scenes

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Perceptual quality prediction and analysis for digital holography

Ahar, A 2021, ' Perceptual quality prediction and analysis for digital holography ', Doctor of Engineering Sciences, Vrije Universiteit Brussel, Brussels.

'Internet of Things: A contribution to the improvement of IoT for interoperability and enhanced security'

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Condition Monitoring of Wind Turbines and Extraction of Healthy Training Data Using An Ensemble of Advanced Statistical Anomaly Detection Models

Chesterman, X , Verstraeten, T , Daems, P-J , Nowe, A & Helsen, J 2021, Condition Monitoring of Wind Turbines and Extraction of Healthy Training Data Using An Ensemble of Advanced Statistical Anomaly Detection Models . in Proceedings of the Annual Conference of the PHM Society. PHM Society, Annual Conference of the Prognostics and Health Management Society, 29/11/21 .

Besluitvorming in systemen met meerdere agenten en objectieven: een op nut gebaseerd perspectief

Radulescu, R 2021, ' Besluitvorming in systemen met meerdere agenten en objectieven: een op nut gebaseerd perspectief ', Doctor of Sciences, Vrije Universiteit Brussel, Brussels.

Thesis Abstract: Interactive Subgroup Discovery for the Conversational Data Governance Platform "Talking to your Data"

Sierens, A , Grau, I, Hernandez, LD , Michel, S , Froyen, V, Middag, C & Nowé, A 2021, ' Thesis Abstract: Interactive Subgroup Discovery for the Conversational Data Governance Platform "Talking to your Data" ', Paper presented at 33rd Benelux Conference on Artificial Intelligence and 30th Belgian-Dutch Conference on Machine Learning, Luxembourg, 10/11/21 - 12/11/21 pp. 769-771. < https://luis.leiva.name/tmp/bnaic2021_preproceedings.pdf >

Talking to your Data: Interactive and interpretable data mining through a conversational agent

Grau, I, Hernandez, LD , Sierens, A , Michel, S , Sergeyssels, N, Middag, C, Froyen, V & Nowé, A 2021, ' Talking to your Data: Interactive and interpretable data mining through a conversational agent ', Paper presented at 33rd Benelux Conference on Artificial Intelligence and 30th Belgian-Dutch Conference on Machine Learning, Luxembourg, 10/11/21 - 12/11/21 pp. 745-747. < https://luis.leiva.name/tmp/bnaic2021_preproceedings.pdf >

Encore Abstract: Interpreting a Black-Box Predictor to Gain Insights into Early Folding Mechanisms

Grau, I , Nowé, A & Vranken, W 2021, ' Encore Abstract: Interpreting a Black-Box Predictor to Gain Insights into Early Folding Mechanisms ', 33rd Benelux Conference on Artificial Intelligence and 30th Belgian-Dutch Conference on Machine Learning, Luxembourg, 10/11/21 - 12/11/21 pp. 674-676. < https://luis.leiva.name/tmp/bnaic2021_preproceedings.pdf >

VISUAL QUALITY ASSESSMENT AND ANALYSIS FOR DIGITAL HOLOGRAPHY

Ahar, A 2021, ' VISUAL QUALITY ASSESSMENT AND ANALYSIS FOR DIGITAL HOLOGRAPHY ', Doctor of Engineering Sciences, Vrije Universiteit Brussel, Brussels.

Context-aware deep Markov random fields for fake news detection

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Transfer Learning in sEMG-based Gesture Recognition

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Interpretable Deep Learning for Multimodal Super-Resolution of Medical Images

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oneVFC–A vehicular fog computation platform for Artificial Intelligence in Internet of Vehicles

Phung, TKH, Tran, H, Nguyen, VT, Hung Dao, Q, Tran-Quang, V, Truong, T-H , Braeken, A & Steenhaut, K 2021, ' oneVFC–A vehicular fog computation platform for Artificial Intelligence in Internet of Vehicles ', IEEE Access , vol. 9, pp. 117456 - 117470.

Bias Loss for Mobile Neural Networks

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Autoencoder-Based Gradient Compression for Distributed Training

Abrahamyan, L , Deligiannis, N , Bekoulis, I & Chen, Y 2021, ' Autoencoder-Based Gradient Compression for Distributed Training ', Proceedings of EUSIPCO , vol. 29, pp. 2179-2183.

Monocular 3D Facial Expression Features for Continuous Affect Recognition

Pei, E , Oveneke, MC , Zhao, Y , Jiang, D & Sahli, H 2021, ' Monocular 3D Facial Expression Features for Continuous Affect Recognition ', IEEE Transactions on Multimedia , vol. 23, pp. 3540-3550.

Interactive Multi-Objective Reinforcement Learning in Multi-Armed Bandits with Gaussian Process Utility Models

Roijers, DM , Zintgraf, LM , Libin, P , Reymond, M , Bargiacchi, E & Nowe, A 2021, Interactive Multi-Objective Reinforcement Learning in Multi-Armed Bandits with Gaussian Process Utility Models . in F Hutter, K Kersting, J Lijffijt & I Valera (eds), ECML-PKDD 2020: Proceedings of the 2020 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Springer, ECML PKDD: Joint European Conference on Machine Learning and Knowledge Discovery in Databases , Ghent, Belgium, 14/09/20 .

Sample-Efficient Reinforcement Learning for Continuous Actions with Continuous BDPI

Steckelmacher, D , Plisnier, H & Nowe, A 2021, ' Sample-Efficient Reinforcement Learning for Continuous Actions with Continuous BDPI ', Paper presented at Adaptive and Learning Agents Workshop 2021 , London, United Kingdom, 3/05/21 - 4/05/21 .

HCGM-NET: A deep unfolding network for financial index tracking

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2020 
A Study of Deep-Learning-based Prediction Methods for Lossless Coding

Schiopu, I, Huang, H & Munteanu, A 2020, A Study of Deep-Learning-based Prediction Methods for Lossless Coding . in 28th European Signal Processing Conference. IEEE, pp. 521-525, 28th European Signal Processing Conference, Amsterdam, Netherlands, 18/01/21 . <

Traditional Chinese Medicine Tanreqing Inhibits Quorum Sensing Systems in Pseudomonas aeruginosa

Yang, W, Wei, Q, Tong, Q, Cui, K, He, G, Lin, L, Ma, LZ , Cornelis, P & Wang, Y 2020, ' Traditional Chinese Medicine Tanreqing Inhibits Quorum Sensing Systems in Pseudomonas aeruginosa ', Frontiers in Microbiology , vol. 11, 517462.

Visual Analytics for Extracting Trends from Spatio-temporal Data

Dhont, M , Tsiporkova, E, Tourwé, T & González-Deleito, N 2020, Visual Analytics for Extracting Trends from Spatio-temporal Data . in International Workshop on Advanced Analytics and Learning on Temporal Data: AALTD 2020: Advanced Analytics and Learning on Temporal Data. Lecture Notes in Computer Science , vol. 12588, Springer, pp. 122-137, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2020, Ghent, Belgium, 14/09/20 .

Layered Integration Approach for Multi-view Analysis of Temporal Data

Dhont, M , Tsiporkova, E & Boeva, V 2020, Layered Integration Approach for Multi-view Analysis of Temporal Data . in V Lemaire, S Malinowski, A Bagnall, T Guyet, R Tavenard & G Ifrim (eds), Advanced Analytics and Learning on Temporal Data - 5th ECML PKDD Workshop, AALTD 2020, Revised Selected Papers: AALTD 2020: Advanced Analytics and Learning on Temporal Data. vol. 12588, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12588 LNAI, Springer, pp. 138-154, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2020, Ghent, Belgium, 14/09/20 .

Robust Calibration of a Multi-View Azure Kinect Scanner Based on Spatial Consistency

Darwish, W , Bolsée, Q & Munteanu, A 2020, Robust Calibration of a Multi-View Azure Kinect Scanner Based on Spatial Consistency . in International Conference on 3D Imaging. , 9376321, 2020 International Conference on 3D Immersion, IC3D 2020 - Proceedings, IEEE, pp. 1-6, International Conference on 3D Imaging 2020, Brussels, Belgium, 15/12/20 .

A Device for Capturing Inward-Looking Spherical Light Fields

Bolsée, Q , Darwish, W, Bonatto, D, Lafruit, G & Munteanu, A 2020, A Device for Capturing Inward-Looking Spherical Light Fields . in International Conference on 3D Imaging. 2020 edn, 9376346, 2020 International Conference on 3D Immersion, IC3D 2020 - Proceedings, IEEE, pp. 1-5, International Conference on 3D Imaging 2020, Brussels, Belgium, 15/12/20 .

GaN-on-Si mm-wave RF devices integrated in a 200mm CMOS Compatible 3-Level Cu BEOL

Parvais, B , Alian, A, Peralagu, U, Rodriguez, R, Yadav, S, Khaled, A, Elkashlan, RY, Putcha, V, Sibaja-Hernandez, A, Zhao, M , Wambacq, P , Collaert, N & Waldron, N 2020, GaN-on-Si mm-wave RF devices integrated in a 200mm CMOS Compatible 3-Level Cu BEOL . in 2020 IEEE International Electron Devices Meeting, IEDM 2020. , 9372056, Technical Digest - International Electron Devices Meeting, IEDM, vol. 2020-December, Institute of Electrical and Electronics Engineers Inc., pp. 8.1.1-8.1.4, 66th Annual IEEE International Electron Devices Meeting, IEDM 2020, Virtual, San Francisco, United States, 12/12/20 .

Current-Assisted SPAD with Improved p-n Junction and Enhanced NIR Performance

Jegannathan, G , Dries, TVD & Kuijk, M 2020, ' Current-Assisted SPAD with Improved p-n Junction and Enhanced NIR Performance ', Sensors , vol. 20, no. 24, 7105, pp. 1-15.

Predicted brain age as a cognitive biomarker in multiple sclerosis

Denissen, S , De Cock, A , Costers, L , Baijot, J , Laton, J , D'Hooghe, MB , D'Haeseleer, M , Dive, D , De Mey, J , Van Schependom, J , Sima, DM & Nagels, G 2020, ' Predicted brain age as a cognitive biomarker in multiple sclerosis ', Multiple Sclerosis Journal , vol. 26, no. S3, P0015, pp. 124-125.

Decoding the edss scores of multiple sclerosis patients from mri biomarkers

Paolella, R, De La Rosa, E, Anania, V , Denissen, S , Van Schependom, J , Nagels, G , Dive, D, Durand-Dubief, F, Sappey-Marinier, D , Smeets, D & Sima, DM 2020, ' Decoding the edss scores of multiple sclerosis patients from mri biomarkers ', Multiple Sclerosis Journal , vol. 26, no. S3, pp. 119-120.

Reply to Robbins: Multi-breath washout tests: indices versus model parameters

Verbanck, SAB , Polfliet, M, Schuermans, D , Ilsen, B , de Mey, J , Vanderhelst, E & Vandemeulebroucke, J 2020, ' Reply to Robbins: Multi-breath washout tests: indices versus model parameters ', Journal of Applied Physiology (Bethesda, Md. : 1985) , vol. 129, no. 6, pp. 1278-1278.

Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging

Berenguer, AD , Sahli, H , Joukovsky, B , Kvasnytsia, M , Dirks, I , Alioscha-Perez, M , Deligiannis, N , Gonidakis, P , Sánchez, SA , Brahimetaj, R , Papavasileiou, E , Chana, JC-W, Li, F, Song, S, Yang, Y, Tilborghs, S, Willems, S, Eelbode, T, Bertels, J, Vandermeulen, D, Maes, F, Suetens, P, Fidon, L, Vercauteren, T, Robben, D, Brys, A , Smeets, D , Ilsen, B , Buls, N , Watté, N , Mey, JD , Snoeckx, A, Parizel, PM, Guiot, J, Deprez, L, Meunier, P, Gryspeerdt, S , Smet, KD , Jansen, B & Vandemeulebroucke, J 2020, ' Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging ', ArXiv.org , vol. 2020.

Effect of aortic stiffness versus stenosis on ventriculo-arterial interaction in an experimental model of coarctation repair

Panzer, J, Somer, FD, Segers, P, Wolf, DD & Bove, T 2020, ' Effect of aortic stiffness versus stenosis on ventriculo-arterial interaction in an experimental model of coarctation repair ', European Journal of Cardio-Thoracic Surgery , vol. 58, no. 6, pp. 1206-1215.

RealDRR - Rendering of realistic digitally reconstructed radiographs using locally trained image-to-image translation

Dhont, J, Verellen, D, Mollaert, I, Vanreusel, V & Vandemeulebroucke, J 2020, ' RealDRR - Rendering of realistic digitally reconstructed radiographs using locally trained image-to-image translation ', Radiotherapy and Oncology , vol. 153, pp. 213-219.

On the energy self-sustainability of IoT via distributed compressed sensing

Chen, W , Deligiannis, N , Andreopoulos, Y & Wassell, IJ 2020, ' On the energy self-sustainability of IoT via distributed compressed sensing ', China Communications , vol. 17, no. 12, 9312790, pp. 37-51.

Hyperspectral Anomaly Detection via Graph Dictionary-based Low Rank Decomposition with Texture Feature Extraction

Song, S, Yang, Y, Zhou, H & Chan, JC-W 2020, ' Hyperspectral Anomaly Detection via Graph Dictionary-based Low Rank Decomposition with Texture Feature Extraction ', Remote Sensing , vol. 12, no. 23, 3966, pp. 1-21.

ER stress arm XBP1s plays a pivotal role in proteasome inhibition-induced bone formation

Zhang, D , De Veirman, K , Fan, R , Jian, Q, Zhang, Y, Lei, L, Evans, H , Wang, Y , Lei, L, Wang, B, Williamson, RA, Chantry, A, He, P, Li, A , De Raeve, H , Vanderkerken, K , He, A & Hu, J 2020, ' ER stress arm XBP1s plays a pivotal role in proteasome inhibition-induced bone formation ', Stem Cell Research & Therapy , vol. 11, no. 1, 516.

Suitability analysis of holographic vs light field and 2D displays for subjective quality assessment of Fourier holograms

Ahar, A, Chlipala, M , Birnbaum, T , Zaperty, W, Symeonidou, A, Kozacki, T, Kujawinska, M & Schelkens, P 2020, ' Suitability analysis of holographic vs light field and 2D displays for subjective quality assessment of Fourier holograms ', Optics Express , vol. 28, no. 24, 24, pp. 37069-37091.

Astrocytic Connexin43 Channels as Candidate Targets in Epilepsy Treatment

Walrave, L , Vinken, M , Leybaert, L & Smolders, I 2020, ' Astrocytic Connexin43 Channels as Candidate Targets in Epilepsy Treatment ', Biomolecules , vol. 10, no. 11, 1578.

Recent Advances in Multi-Objective Multi-Agent Decision Making

Radulescu, R , Mannion, P , Roijers, DM & Nowe, A 2020, Recent Advances in Multi-Objective Multi-Agent Decision Making . in L Cao, W Kosters & J Lijffijt (eds), Proceedings of the 32nd Benelux Conference on Artificial Intelligence (BNAIC 2020). Belgian/Netherlands Artificial Intelligence Conference, Benelux Association for Artificial Intelligence (BNVKI-AIABN), pp. 392-394, 32nd Benelux Conference on Artificial Intelligence/Belgian-Dutch Conference on Machine Learning, Leiden, Netherlands, 19/11/20 . < http://bnaic.liacs.leidenuniv.nl/bnaic2020proceedings.pdf >

Multi-Agent Thompson Sampling for Bandits with Sparse Neighbourhood Structures

Verstraeten, T , Bargiacchi, E , Libin, P , Helsen, J , Roijers, DM & Nowe, A 2020, Multi-Agent Thompson Sampling for Bandits with Sparse Neighbourhood Structures . in L Cao, W Kosters & J Lijffijt (eds), Proceedings of the 32nd Benelux Conference on Artificial Intelligence (BNAIC 2020). Belgian/Netherlands Artificial Intelligence Conference, Benelux Association for Artificial Intelligence (BNVKI-AIABN), pp. 394-395, 32nd Benelux Conference on Artificial Intelligence/Belgian-Dutch Conference on Machine Learning, Leiden, Netherlands, 19/11/20 . < http://bnaic.liacs.leidenuniv.nl/bnaic2020proceedings.pdf >

Zero-Shot Cross-Lingual Transfer with Meta Learning

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imec-ETRO-VUB at W-NUT 2020 Shared Task-3: A Multilabel BERT-based system for predicting COVID-19 events

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Depth Estimation for Light-Field Images Using Stereo Matching and Convolutional Neural Networks

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Hyperspectral and Multispectral Image Fusion via Nonlocal Low-Rank Tensor Decomposition and Spectral Unmixing

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How Expert Confidence Can Improve Collective Decision-Making in Contextual Multi-Armed Bandit Problems

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MEMOS: A Multi-modal Emotion Stream Database for Temporal Spontaneous Emotional State Detection

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Mapping Air Quality in IoT Cities: Cloud Calibration and Air Quality Inference of Sensor Data

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Application of evolutionary algorithms to optimise one- and two-dimensional gradient chromatographic separations

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(Plenary) The Revival of Compound Semiconductors and How They Will Change the World in a 5G/6G Era

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A 12-mW 10-GHz FMCW PLL Based on an Integrating DAC With 28-kHz RMS-Frequency-Error for 23-MHz/µs Slope and 1.2-GHz Chirp-Bandwidth

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Deep-Learning-based Hyperlocal Air Quality Monitoring for Smart Cities

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CO2 fertilization, transpiration deficit and vegetation period drive the response of mixed broadleaved forests to a changing climate in Wallonia

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Spatial bandwidth-optimized compression of image plane off-axis holograms with image and video codecs

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JPEG Status and Progress Report

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Graph-Deep-Learning-Based Inference of Fine-Grained Air Quality From Mobile IoT Sensors

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Geometric Matrix Completion with Deep Conditional Random Fields

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Content-Guided Convolutional Neural Network for Hyperspectral Image Classification

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AITIA: Embedded AI Techniques for Embedded Industrial Applications

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Data Augmentation of Surface Electromyography for Hand Gesture Recognition

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Fleet Control using Coregionalized Gaussian Process Policy Iteration

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Ratio between muscle fatigability and self-perceived tiredness could be an important parameter for characterizing frailty

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Frame-wise CNN-based Filtering for Intra-Frame Quality Enhancement of HEVC Videos

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Feasibility of Real Time Internet-Based Teleconsultation in Patients With Multiple Sclerosis: Interventional Pilot Study

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Multimodal Deep Unfolding for Guided Image Super-Resolution

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Intra-abdominal pressure as an ignored parameter in the pathophysiology of preeclampsia

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A 10.56 Gbit/s,-27.8 dB EVM Polar Transmitter at 60 GHz in 28nm CMOS

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