Research
Publications

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2023 
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.

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. <

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

Li, Z , Cheng, C , Zhang, H, Xie, Y, Zhao, W, Zhang, Z & Stiens, J 2023, ' Design and optimization of a graphene-enhanced tunable wire-grid-like polarizer operating in the 0.5–0.75 THz band ', Diamond and Related Materials , vol. 138, 110177, pp. 110177-110186.

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

Zhang, H , Cheng, C , Zhao, W, Li, Z, Kou, L, Zhang, Z & Stiens, J 2023, ' Effect of graphene film thickness on photoluminescence properties of ZnO/graphene composite films ', Ceramics International , vol. 49, no. 18, pp. 30864-30874.

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 . in Workshop on Agricultural Robotics for a Sustainable Future, IROS 2023. IEEE.

Deconstructing Reinforcement Learning Benchmarks: Revealing The Objectives

Ajridi, S , Röpke, W , Nowe, A & Radulescu, R 2023, ' Deconstructing Reinforcement Learning Benchmarks: Revealing The Objectives ', Paper presented at Multi-Objective Decision Making Workshop 2023, Krakow, Poland, 1/10/23 - 1/10/23 .

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.

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

Baciu, V-E , Lambert Cause, J , Sole Morillo, A , Garcia-Naranjo, JC , Stiens, J & da Silva, B 2023, ' Anomaly Detection in Multi-Wavelength Photoplethysmography Using Lightweight Machine Learning Algorithms ', Sensors , vol. 23, no. 15, 6947, pp. 1-23.

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

Gerontopole Brussels Study group , Knoop, V , Costenoble, A , Debain, A , Bravenboer, B , Jansen, B , Scafoglieri, A & Bautmans, I 2023, ' 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 ', The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences , vol. 78, no. 8, pp. 1402-1409.

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.

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

Azmani, H , Rosseau, A , Nowe, A & Radulescu, R 2023, ' Cooperative Foraging Behaviour Through Multi-Agent Reinforcement Learning with Graph-Based Communication ', Paper presented at The 16th European Workshop on Reinforcement Learning, Brussels, Belgium, 14/09/23 - 16/09/23 .

Traffic Event Detection as a Slot Filling Problem

Yang, X , Bekoulis, I & Deligiannis, N 2023, ' Traffic Event Detection as a Slot Filling Problem ', Engineering Applications of Artificial Intelligence , vol. 123, no. PA, 106202, pp. 1-13.

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. 2022, no. 99, 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.

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 >

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.

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, 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

Tradowsky, JS, Philip, SY, Kreienkamp, F, Kew, SF, Lorenz, P, Arrighi, J, Bettmann, T, Caluwaerts, S, Chan, SC , De Cruz, L , de Vries, H, Demuth, N, Ferrone, A, Fischer, EM, Fowler, HJ, Goergen, K, Heinrich, D, Henrichs, Y, Kaspar, F, Lenderink, G, Nilson, E, Otto, FEL, Ragone, F, Seneviratne, SI, Singh, RK, Skålevåg, A, Termonia, P, Thalheimer, L, van Aalst, M, Van den Bergh, J, Van de Vyver, H, Vannitsem, S, van Oldenborgh, GJ, Van Schaeybroeck, B, Vautard, R, Vonk, D & Wanders, N 2023, ' Attribution of the heavy rainfall events leading to severe flooding in Western Europe during July 2021 ', Climatic Change , vol. 176, no. 7, 90.

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.

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 .

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

Jara Avila, FJ , Verstraeten, T , Vratsinis, K , Nowe, A & Helsen, J 2023, Wind Power Prediction using Multi-Task Gaussian Process Regression with Lagged Inputs . in Journal of Physics: Conference Series. 1 edn, vol. 2505, Journal of Physics: Conference Series, IOP Publishing, Visby, Sweden.

Quantitative Evaluation of Video Explainability Methods via Anomaly Localization

Zhang, X , Joukovsky, B & Deligiannis, N 2023, Quantitative Evaluation of Video Explainability Methods via Anomaly Localization . in European Signal Processing Conference. 31st European Signal Processing Conference, Helsinki, Finland, 4/09/23 .

Model-Agnostic Visual Explanations via Approximate Bilinear Models

Joukovsky, B , Sammani, F & Deligiannis, N 2023, Model-Agnostic Visual Explanations via Approximate Bilinear Models . in 2023 IEEE International Conference on Image Processing. IEEE, 2023 IEEE International Conference on Image Processing, Kuala Lumpur, Malaysia, 8/10/23 .

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 2023, ' The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data ', ArXiv.org , vol. 2023, no. 06, 2306.10484, pp. 1-24.

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.

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

Tsiporkova, E & Dhont, M 2023, ' Elucidating Transition State Behaviour from Mobility Data by Cascades of Markov Chains ', Proceedings of the Canadian Conference on Artificial Intelligence , vol. 35, no. 1, 1, pp. 1-12.

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

Stergiou, A & Damen, D 2023, Play It Back: Iterative Attention For Audio Recognition . in Proceedings - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2023 International Conference on Acoustics, Speech and Signal Processing, Rhodes, Greece, 4/06/23 .

WAE-PCN: Wasserstein-autoencoded Pareto Conditioned Networks

Delgrange, F , Reymond, M , Nowe, A & Pérez, GA 2023, WAE-PCN: Wasserstein-autoencoded Pareto Conditioned Networks . in F Cruz, CF Hayes , C Wang & C Yates (eds), Proc. of the Adaptive and Learning Agents Workshop (ALA 2023). 15 edn, vol. https://alaworkshop2023.github.io/, 42, London, UK, pp. 1-7, 2023 Adaptive and Learning Agents Workshop at AAMAS, London, United Kingdom, 29/05/23 . < https://alaworkshop2023.github.io/papers/ALA2023_paper_42.pdf >

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) , vol. https://alaworkshop2023.github.io/, 52, 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. IEEE, pp. 1-5, 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing, Rodos, 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). 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 >

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 .

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 .

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).

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.

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.

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.

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.

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 .

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, 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.

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 ', The 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023) .

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. 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 . < https://ieeexplore.ieee.org/document/10045814 >

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 Industrial Electronics Society, Brussels, Belgium, 18/10/22 .

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 .

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, 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, EurCorr 2022, Berlin, Germany, 28/08/22 .

Artificial intelligence will change MS care within the next 10 years

De Vos, M & Van Schependom, J 2022, ' Artificial intelligence will change MS care within the next 10 years ', 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

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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 .

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

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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. 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

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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

Glabbeek, RV , 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

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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.

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, Krakow, 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 .

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

Joukovsky, BJ , ROMAN Robust PCA Masking Network , 2022, Software. < https://gitlab.com/etrovub/mlsp/roman-robust-pca-masking-network >

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

Nourbakhsh Kaashki, N , Dai, X , Hu, P & Munteanu, A 2022, A Deep Learning Approach to Automatically Extract 3D Hand Measurements . in Proceedings of 2022 7th International Conference on Machine Learning Technologies, ICMLT 2022. ACM International Conference Proceeding Series, Association for Computing Machinery New York, NY, United States, pp. 141-146.

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

Gasser, A , Shcheglov, A , Lapauw, T , Van Den Dries, T , Ingelberts, H , Hoving, W, Aalders, M & Kuijk, M 2022, Miniaturized Time-Resolved Fluorescence Spectrometer System . in LE Busse, Y Soskind & PC Mock (eds), Photonic Instrumentation Engineering IX. vol. 12008, 120080B, Proceedings of SPIE - The International Society for Optical Engineering, vol. 12008, SPIE, California, USA, SPIE Photonics West 2022, San Francisco, California, United States, 22/01/22 .

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

Jegannathan, G 2022, Active-quenched CA-SPADs demonstrating high PDP at NIR wavelengths . in GT Reed & AP Knights (eds), Silicon Photonics. XVII edn, vol. 12006, 1200608 , Proceedings of SPIE - The International Society for Optical Engineering, vol. 12006, San Francisco, pp. -.

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 . in 9th CIRP Conference on Assembly Technology and Systems. vol. 106, 106, Procedia CIRP, Elsevier, 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

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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.

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.

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

Avalos, R , Reymond, M , Nowe, A & Roijers, DM 2022, ' Local Advantage Networks for Multi-Agent Reinforcement Learning in Dec-POMDPs ', Proc. of the Adaptive and Learning Agents Workshop (ALA 2023) , vol. https://ewrl.wordpress.com/past-ewrl/ewrl15-2022/, pp. 1-17.

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 English. 3DBody.Tech.

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 The 9th International Conference on Internet of Things: Systems, Management and Security. 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 .

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.

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

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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

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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.

Environmental Sound Recognition on Embedded Systems: From FPGAs to TPUs

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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.

An Introduction to the JPEG Fake Media Initiative

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Aspect-based Sentiment Analysis with Weighted Relational Graph Attention Network

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Autonomous Assembly Planning of Demonstrated Skills with Reinforcement Learning in Simulation

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VR-enhanced walking in people post-stroke: effect of optic flow speed on the gait biomechanics.

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AITIA: Embedded AI Techniques for Industrial Applications

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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.

Evaluation framework for sub-daily rainfall extremes simulated by regional climate models

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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

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Using clinical guidelines and card sheets for guiding the design of data-driven clinical pathways

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Evaluation framework for subdaily rainfall extremes simulated by regional climate models

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Transistor modelling for mm-Wave technology pathfinding

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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

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The Mind’s Eye: Visualizing Class-Agnostic Features of CNNS

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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

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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 .

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 .

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 >

MosAIc: A Classical Machine Learning Multi-Classifier Based Approach against Deep Learning Classifiers for Embedded Sound Classification

Lhoest, LC, Lamrini, M , Vandendriessche, J , Wouters, N , da Silva, B , 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.

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

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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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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

Costers, L , Van Schependom, J , Laton, J , Baijot, J , Sjøgård, M, Wens, V, De Tiège, X, Goldman, S , D'Haeseleer, M , D'hooghe, MB , Woolrich, M & Nagels, G 2021, ' The role of hippocampal theta oscillations in working memory impairment in multiple sclerosis ', Human Brain Mapping , vol. 42, no. 5, pp. 1376-1390.

Signal quality as Achilles’ heel of graph theory in functional magnetic resonance imaging in multiple sclerosis

Baijot, J , Denissen, S , Costers, L , Gielen, J, Cambron, M , D'Haeseleer, M , D'Hooghe, M , Vanbinst, A-M , De Mey, J , Van Schependom, J & Nagels, G 2021, ' Signal quality as Achilles’ heel of graph theory in functional magnetic resonance imaging in multiple sclerosis ', Scientific Reports , vol. 11, no. 1, 7376, pp. 7376.

Toward the inclusion of end-to-end security in the OM2M platform

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On the performance of objective quality metrics for lightfields

Mahmoudpour, S & Schelkens, P 2021, ' On the performance of objective quality metrics for lightfields ', Signal Processing: Image Communication , vol. 93, 116179.

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

Omelina, L , Goga, J, Pavlovicova, J, Oravec, M & Jansen, B 2021, ' A survey of iris datasets ', Image and Vision Computing , vol. 108, 104109, pp. 1-20.

A Multi-Agent Reinforcement Learning Approach to Wind Farm Control

Verstraeten, T 2021, ' A Multi-Agent Reinforcement Learning Approach to Wind Farm Control ', Doctor of Philosophy, Vrije Universiteit Brussel. < https://ai.vub.ac.be/wp-content/uploads/2021/03/PhD_dissertation_Timothy_Verstraeten.pdf >

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’

Papavasileiou, E , Cornelis, JPH & Jansen, B 2021, ' A Systematic Literature Review of the Successors of ‘NeuroEvolution of Augmenting Topologies’ ', Evolutionary Computation , vol. 29, no. 1, pp. 1-73.

Reliability and Variability-Aware DTCO Flow: Demonstration of Projections to N3 FinFET and Nanosheet Technologies

Rzepa, G, Karner, M, Baumgartner, O, Strof, G, Schanovsky, F, Mitterbauer, F, Kernstock, C, Karner, HW, Weckx, P, Hellings, G, Claes, D, Wu, Z, Xiang, Y, Chiarella, T , Parvais, B , Mitard, J, Franco, J, Kaczer, B, Linten, D & Stanojevic, Z 2021, Reliability and Variability-Aware DTCO Flow: Demonstration of Projections to N3 FinFET and Nanosheet Technologies . in 2021 IEEE International Reliability Physics Symposium, IRPS 2021 - Proceedings. , 9405172, 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 .

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

Van Laethem, D , De Cock, A , Van Schependom, J , Benedict, RHB , Nagels, G & D'Hooghe, MB 2021, ' The Value of Self-Reported Cognitive Performance in low, medium and high EDSS ', ACTRIMS Forum 2021, United States, 25/02/21 - 27/02/21 .

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

Vandendriessche, J , da Silva, B , Lhoest, LC , Braeken, A & Touhafi, A 2021, ' M3-AC: A Multi-Mode Multithread SoC FPGA Based Acoustic Camera ', Electronics , vol. 10, no. 3, 317, pp. 1-36.

A concise overview of non-invasive intra-abdominal pressure measurement techniques: from bench to bedside

Tayebi, S , Gutiérrez Ruiz, A , Mohout, I, Smets, E, Wise, R, H. 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.

Lightweight PUF based authentication scheme for fog architecture

De Smet, R , Vandervelden, T , Steenhaut, K & Braeken, A 2021, ' Lightweight PUF based authentication scheme for fog architecture ', Wireless Networks , vol. 27, no. 2, pp. 947-959.

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

Beckers, A, Beckers, D, Jazaeri, F , Parvais, B & Enz, C 2021, ' Generalized Boltzmann relations in semiconductors including band tails ', Journal of Applied Physics , vol. 129, no. 4, 045701.

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

Yadav, S, Vais, A , Elkashlan, RY , Witters, L, Vondkar, K, Mols, Y, Walke, A, Yu, H, Alcotte, R, Ingels, M , Wambacq, P , Langer, R, Kunert, B, Waldron, N , Parvais, B & Collaert, N 2021, DC and RF Characterization of Nano-ridge HBT Technology Integrated on 300 mm Si Substrates . in EuMIC 2020 - 2020 15th European Microwave Integrated Circuits Conference. , 9337489, EuMIC 2020 - 2020 15th European Microwave Integrated Circuits Conference, Institute of Electrical and Electronics Engineers Inc., pp. 89-92, 15th European Microwave Integrated Circuits Conference, EuMIC 2020, Utrecht, Netherlands, 11/01/21 .

An interactive holographic projection system that uses a hand-drawn interface with a consumer CPU

Nishitsuji, T, Kakue, T , Blinder, D , Shimobaba, T & Ito, T 2021, ' An interactive holographic projection system that uses a hand-drawn interface with a consumer CPU ', Scientific Reports , vol. 11, no. 1, 147, pp. 147.

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

Simoen, E , Hsu, PC, Takakura, K, Syshchyk, O, Vais, A, Yu, H , Parvais, B , Collaert, N & Claeys, C 2021, Defect engineering for monolithic integration of III-V semiconductors on silicon substrates . in E Simoen, O Kononchuk, O Nakatsuka & C Claeys (eds), 239th ECS Meeting with the 18th International Meeting on Chemical Sensors, IMCS 2021 - High Purity and High Mobility Semiconductors 16. 4 edn, ECS Transactions, no. 4, vol. 102, IOP Publishing Ltd., pp. 53-62, 239th ECS Meeting with the 18th International Meeting on Chemical Sensors, IMCS 2021, Chicago, United States, 30/05/21 .

A Simple Three-Step Approach for the Automatic Detection of Exaggerated Statements in Health Science News

Patro, J 2021, A Simple Three-Step Approach for the Automatic Detection of Exaggerated Statements in Health Science News . in Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, EACL 2021, Online, April 19 - 23, 2021. EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, pp. 3293-3305.

Deep Reinforcement Learning for Large-Scale Epidemic Control

Libin, P , Moonens, A , Verstraeten, T , Perez Sanjines, FR , Hens, N, Lemey, P & Nowe, A 2021, Deep Reinforcement Learning for Large-Scale Epidemic Control . in Y Dong, G Ifrim, D Mladenic, C Saunders & S Van Hoecke (eds), Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track: European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part V. vol. 5, Lecture Notes in Computer Science, vol. 12461, Springer, Ghent, Belgium, pp. 155-170, The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Ghent, Belgium, 14/09/20 . < https://bitbucket.org/ghentdatascience/ecmlpkdd20-papers/raw/master/ADS/sub_616.pdf >

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

Grau, I , Sengupta, D & Nowe, A 2021, Interpretable Semi-Supervised Classifier for Predicting Cancer Stages . in P Kumar, Y Kumar & M Tawhid (eds), Machine Learning, Big Data, and IoT for Medical Informatics. 1 edn, Elsevier, pp. 241-259.

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

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.

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.

Design of VCOs and PAs in 22nm FD-SOI for 5G mm-wave communications

Zong, Z 2021, ' Design of VCOs and PAs in 22nm FD-SOI for 5G mm-wave communications ', Vrije Universiteit Brussel.

Refining activation downsampling with SoftPool

Stergiou, A , Poppe, R & Kalliatakis, G 2021, Refining activation downsampling with SoftPool . in Proceedings - 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021. Proceedings of the IEEE International Conference on Computer Vision, IEEE, pp. 10337-10346, 18th IEEE/CVF International Conference on Computer Vision, 11/10/21 .

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

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Detector for fast-gated detection of electromagnetic radiation

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Characterization of multilayer structures

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Device for use in dynamic radiological image acquisition

Buzzatti, L , Keelson, B , Cattrysse, E , Buls, N , Van Gompel, G , De Mey, J , Scheerlinck, T , Vandemeulebroucke, J , Baeyens, J-P , Langlois, K , Lefeber, D & Rodriguez Guerrero, CD, Device for use in dynamic radiological image acquisition , Patent No. EP3875032.

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

Kizhakkumkara Muhamad, R , Birnbaum, T , Blinder, D , Schretter, C & Schelkens, P 2021, Lossless Compression of Binary Holograms with Context Models and Adaptive Segmentation . in OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP). , DTh7C.7, Optical Society of America, OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP), 19/07/21 .

A 4.2mW 4K 6-8GHz CMOS LNA for Superconducting Qubit Readout

Çaglar, A , Van Winckel, S, Brebels, S , Wambacq, P & Craninckx, J 2021, A 4.2mW 4K 6-8GHz CMOS LNA for Superconducting Qubit Readout . in Proceedings of IEEE Asian Solid-State Circuits Conference (A-SSCC) 2021. Proceedings - A-SSCC 2021: IEEE Asian Solid-State Circuits Conference, IEEE, pp. 1-3, Asian Solid-State Circuit Conference 2021, 7/11/21 .

Transformer Encoder With Multi-Modal Multi-Head Attention for Continuous Affect Recognition

Chen, H, Jiang, D & Sahli, H 2021, ' Transformer Encoder With Multi-Modal Multi-Head Attention for Continuous Affect Recognition ', IEEE Transactions on Multimedia , vol. 23, pp. 4171-4183.

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

Chen, H, Jiang, D , Zhao, Y , Wei, X, Lu, K & Sahli, H 2021, ' Region Attentive Action Unit Intensity Estimation with Uncertainty Weighted Multi-task Learning ', IEEE Transactions on Affective Computing .

On the Generalization and Reliability of Single Radar-Based Human Activity Recognition

Gorji, A , Khalid, H , Bourdoux, A & Sahli, H 2021, ' On the Generalization and Reliability of Single Radar-Based Human Activity Recognition ', IEEE Access , vol. 9, pp. 85334-85349.

Multi-Radar Fusion for Failure-tolerant Road Target Classification

Rykunov, M, De Greef, E , Khalid, H , Aziz, K , Bourdoux, A & Sahli, H 2021, Multi-Radar Fusion for Failure-tolerant Road Target Classification . in European Radar Conference 2021. European Radar Conference 2021, London, United Kingdom, 16/02/22 .

Towards more efficient NeuroEvolution: Application on feature selection and classification problems

Papavasileiou, E 2021, ' Towards more efficient NeuroEvolution: Application on feature selection and classification problems ', Vrije Universiteit Brussel, Brussels.

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

Diaz Berenguer, A 2021, ' Learning to predict human behavior in crowded scenes ', Vrije Universiteit Brussel.

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'

Shabisha, P 2021, ' 'Internet of Things: A contribution to the improvement of IoT for interoperability and enhanced security' ', Doctor of Engineering Sciences, Vrije Universiteit Brussel, Brussels.

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

Do Huu, T , Berneman, M , Patro, J , Bekoulis, I & Deligiannis, N 2021, ' Context-aware deep Markov random fields for fake news detection ', IEEE Access , vol. 9, pp. 130042 - 130054.

Transfer Learning in sEMG-based Gesture Recognition

Tsinganos, P , Cornelis, JPH , Cornelis, B , Jansen, B & Skodras, A 2021, Transfer Learning in sEMG-based Gesture Recognition . in 2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA). , 9555555, IISA 2021 - 12th International Conference on Information, Intelligence, Systems and Applications, IEEE, 12th International Conference on Information, Intelligence, Systems & Applications (IISA), Chania, Greece, 12/07/21 .

Interpretable Deep Learning for Multimodal Super-Resolution of Medical Images

Tsiligianni, E, Zerva, M , Marivani, I , Deligiannis, N & Kondi, L 2021, Interpretable Deep Learning for Multimodal Super-Resolution of Medical Images . in International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). vol. 12906, Lecture Notes in Computer Science, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2021), pp. 421-429, MICCAI 2021 - 24th International Conference on Medical Image Computing and Computer Assisted Surgery, 24/09/21 .

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

Abrahamyan, L , Ziatchin, V , Chen, Y & Deligiannis, N 2021, Bias Loss for Mobile Neural Networks . in Proceedings - 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021. vol. 18, Proceedings of the IEEE International Conference on Computer Vision, IEEE, IEEE, pp. 6536-6546, 2021 IEEE/CVF International Conference on Computer Vision, Montreal, Canada, 10/10/21 .

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

Pauwels, RAJ, Tsiligianni, E & Deligiannis, N 2021, HCGM-NET: A deep unfolding network for financial index tracking . in IEEE International Conference on Acoustics, Speech and Signal Processing: ICASSP. IEEE, pp. 1-5, 2021 IEEE International Conference on Acoustics, Speech and Signal Processing , Toronto, Canada, 6/06/21 .

 
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

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Multi-Agent Thompson Sampling for Bandits with Sparse Neighbourhood Structures

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Mechanism of the Polarized Absorption of CVD-Prepared Carbon Nanofibers to TE Waves in the Subterahertz Band

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Elastic and ElectroMagnetic Wave monitoring of early age TRC

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Technology Impact on the Low Frequency Noise of Si and Si/SiGe Superlattice Input-Output FinFETs

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Materials and Defect Aspects of III-V and III-N Devices for High-Speed Analog/RF Applications

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Depth Estimation for Light-Field Images Using Stereo Matching and Convolutional Neural Networks

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Learn to cycle: Time-consistent feature discovery for action recognition

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The impact of a child bike seat and trailer on the objective overtaking behaviour of motorized vehicles passing cyclists

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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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Analysis of Gate-Metal Resistance in CMOS-Compatible RF GaN HEMTs

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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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Natural compounds therapeutic features in brain disorders by experimental, bioinformatics and cheminformatics methods

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Analytic computation of line-drawn objects in computer generated holography

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A Deep-Unfolded Reference-Based RPCA Network For Video Foreground-Background Separation

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The effect of a rehabilitation specific gaming software platform to achieve individual physiotherapy goals in children with severe spastic CP: a randomized cross-over trial.

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Joint Image Super-Resolution Via Recurrent Convolutional Neural Networks With Coupled Sparse Priors

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Haemodynamic monitoring and management in COVID-19 intensive care patients: an International survey

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A Study of Prediction Methods based on Machine Learning Techniques for Lossless Image Coding

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Application of evolutionary algorithms to optimise one- and two-dimensional gradient chromatographic separations

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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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Radar-camera Fusion for Road Target Classification

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Low-Complexity Angular Intra-Prediction Con-volutional Neural Network for Lossless HEVC

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Reconfigurable Terahertz Dipole Antenna with Integrated Graphene Sheets

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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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Elliptic curve-based proxy re-signcryption scheme for secure data storage on the cloud

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Dedicated processor for hologram calculation using sparse Fourier bases

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Multi-modal neural networks with multi-scale RGB-T fusion for semantic segmentation

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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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Data Augmentation of Surface Electromyography for Hand Gesture Recognition

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Ventilation heterogeneity in smokers: role of unequal lung expansion and peripheral lung structure

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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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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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An integrated 132-147GHz power source with +27dBm EIRP

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A flexible power model for mm-wave and THz high-throughput communication systems

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A 28 GHz front-end module with T/R switch achieving 17.2 dBm P-sat, 21.5% PAE(max) and 3.2 dB NF in 22 nm FD-SOI for 5G communication

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2020 IEEE Radio Frequency Integrated Circuits Symposium (RFIC)

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Low-Frequency Noise Investigation of GaN/AlGaN Metal–Oxide–Semiconductor High-Electron-Mobility Field-Effect Transistor With Different Gate Length and Orientation

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A Multi-Attribute Blind Quality Evaluator for Tone-mapped Images

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A 62mW 60GHz FMCW Radar in 28nm CMOS

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A 28GHz Voltage-Combined Doherty Power Amplifier with a Compact Transformer-based Output Combiner in 22nm FD-SOI

Zong, Z , Tang, X , Khalaf, K , Yan, D , Mangraviti, G , Nguyen, JH-D , Liu, Y & Wambacq, P 2020, A 28GHz Voltage-Combined Doherty Power Amplifier with a Compact Transformer-based Output Combiner in 22nm FD-SOI . in 2020 IEEE Radio Frequency Integrated Circuits Symposium (RFIC). IEEE, pp. 1-4, 2020 IEEE Radio Frequency Integrated Circuits Symposium (RFIC), 4/08/20 .

A 28 GHz front-end module with T/R switch achieving 17.2 dBm Psat, 21.5% PAEmax and 3.2 dB NF in 22 nm FD-SOI for 5G communication

Liu, Y , Tang, X , Mangraviti, G, Khalaf, K, zhang, Y, Wu, W-M, Chen, S-H, Debaillie, B & Wambacq, P 2020, A 28 GHz front-end module with T/R switch achieving 17.2 dBm P-sat, 21.5% PAE(max) and 3.2 dB NF in 22 nm FD-SOI for 5G communication . in 2020 IEEE Radio Frequency Integrated Circuits Symposium (RFIC). IEEE, pp. 1-4, 2020 IEEE Radio Frequency Integrated Circuits Symposium (RFIC), 4/08/20 .

A 10.56Gbit/s, -27.8dB EVM Polar Transmitter at 60GHz in 28nm CMOS

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Feasibility of virtual dual-energy imaging through deep learning for markerless tumour tracking

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Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients

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Context-based analysis of urban air quality using an opportunistic mobile sensor network

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A Sociolinguistic Route to the Characterization and Detection of the Credibility of Events on Twitter

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Providing a Visual Understanding of Holography Through Phase Space Representations

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Wheat yield estimation from NDVI and regional climate models in Latvia

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Total-Ionizing-Dose Effects in InGaAs MOSFETs With High-k Gate Dielectrics and InP Substrates

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Symmetric Key-Based Secure Storage and Retrieval of IoT Data on a Semi-trusted Cloud Server

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Behavior-based Speciation in Classification with NeuroEvolution

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Single yeast cell nanomotions correlate with cellular activity

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JPEG Pleno: Standardizing a coding framework and tools for plenoptic imaging modalities

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Standardization of Holographic Compression: JPEG Pleno

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Holographic data compression for holographic microscopy and tomography in biomedical applications

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Defining heat shock response for the thermoacidophilic model crenarchaeon Sulfolobus acidocaldarius

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Spatiotemporal and spectral dynamics of multi-item working memory as revealed by the n-back task using MEG

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QUALINET White Paper on Definitions of Immersive Media Experience (IMEx)

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POLICY BRIEF #36: COVID-19 information on Social Media in Europe: A threat or a blessing?

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Regional climate downscaling over Europe: perspectives from the EURO-CORDEX community

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Hybrid Local and Non-local 3D Attentive CNN for Hyperspectral Image Super-Resolution

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3D sequential low temperature top tier devices using dopant activation with excimer laser anneal and strained silicon as performance boosters

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Thompson Sampling for Factored Multi-Agent Bandits

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Phase added sub-stereograms for accelerating computer generated holography

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Analysis of a 28-nm CMOS Fast-Lock Bang-Bang Digital PLL With 220-fs RMS Jitter for Millimeter-Wave Communication

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Graph Auto-encoder For Graph Signal Denoising

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Thompson Sampling for Loosely-Coupled Multi-Agent Systems: An Application to Wind Farm Control

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The validation of iodine contrast flow velocity quantification from time- resolved CT-angiography in a flow phantom

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Multi-atlas segmentation of the skeleton from whole-body MRI—Impact of iterative background masking

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(Invited) Advanced Transistors for High Frequency Applications

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Low 1/f(3) Noise Corner LC-VCO Design Using Flicker Noise Filtering Technique in 22nm FD-SOI

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SVRG-MKL: a Fast and Scalable Multiple Kernel Learning Solution for Features Combination in Multi-Class Classification Problems

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Design of D-Band Transformer-Based Gain-Boosting Class-AB Power Amplifiers in Silicon Technologies

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Cross Data Set Performance Consistency of Objective Quality Assessment Methods for Light Fields

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Artificiële intelligentie (AI) voor het voorspellen van de evolutie bij MS

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Application-level authentication and encryption atop Bluetooth stack for sensitive data communication

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Multi-modal deep network for RGB-D segmentation of clothes

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Two-level clustering methodology for smart metering data

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Defect-based compact modeling of random telegraph noise

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Comparison of temperature dependent carrier transport in FinFET and gate-all-around nanowire FET

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Multi-Agent Thompson Sampling for Bandit Applications with Sparse Neighbourhood Structures

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Compact time-resolved fluorescence spectrometer

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Imaging techniques and methodologies for acquisition, processing and distribution of multimodal image data of the oeuvre of Jan van Eyck

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Exploration of Media Blockchain Technologies for JPEG Privacy and Security

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Adopting the JPEG systems layer to create interoperable imaging ecosystems

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Object-based digital hologram segmentation and motion compensation

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Parameterization of the quality factor for the high throughput JPEG 2000

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Hologram calculation in sparse Fourier bases using fixed-point operations, and its circuit architecture

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Accelerating phase-added stereogram calculations by coefficient grouping for digital holography

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CO2 fertilization, transpiration deficit and vegetation period drive the response of mixed broadleaved forests to a changing climate in Wallonia: Dataset

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Thick Cloud Removal with Optical and SAR Imagery via Convolutional-Mapping -Deconvolutional Network

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Reliability and Variability of Advanced CMOS Devices at Cryogenic Temperatures

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Exploring the DC reliability metrics for scaled GaN-on-Si devices targeted for RF/5G applications

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Current-Assisted Single Photon Avalanche Diode (CASPAD) Fabricated in 350 nm Conventional CMOS

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Contrast flow velocity quantification from time-resolved CT angiography: a phantom study

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Interpretable Deep Recurrent Neural Networks via Unfolding Reweighted $ell_1$-$ell_1$ Minimization: Architecture Design and Generalization Analysis

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Computer-aided detection of focal bone metastases from whole-body multi-modal MRI

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Automated threshold selection on whole-body 18F-FDG PET/CT for assessing tumor metabolic response

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Toll-based reinforcement learning for efficient equilibria in route choice

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The use of cognitive mobile games to assess the interaction of cognitive function and breath-hold

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Joint Spatial-spectral Resolution Enhancement of Multispectral Images with Spectral Matrix Factorization and Spatial Sparsity Constraints

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Evaluating several ways to combine handcrafted features-based system with a deep learning system using the LUNA16 Challenge framework

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Collaborative learning of lightweight convolutional neural network and deep clustering for hyperspectral image semi-supervised classification with limited training samples

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Artificially augmenting data or adding more samples? A study on a 3D CNN for lung nodule classification

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A 28GHz Two-Way Current Combining Stacked-FET Power Amplifier in 22nm FD-SOI

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A 12mW 10GHz FMCW PLL Based on an Integrating DAC with 90kHz rms Frequency Error for 23MHz/µs Slope and 1.2GHz Chirp Bandwidth

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Exploration and mechanism analysis: The maximum ultraviolet luminescence limits of ZnO/few-layer graphene composite films

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Deep-learning-assisted hologram calculation via low-sampling holograms

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Design and Performance of the first IceAct Demonstrator at the South Pole

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Consistent scale-dependency of future increases in hourly extreme precipitation in two convection-permitting climate models

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Message-Based Communication for Heterogeneous Internet of Things Systems

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Global and Local Tensor Sparse Approximation Models for Hyperspectral Image Destriping

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Digenic inheritance of human primary microcephaly delineates centrosomal and non centrosomal pathways

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Randomized clinical trial on reduction of radiotherapy dose to the elective neck in head and neck squamous cell carcinoma update of the long-term tumor outcome

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Quantifying increased rates of erosive tooth wear progression in the early permanent dentition

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Parasitic subthreshold drain current and low frequency noise in GaN/AlGaN metal-oxide-semiconductor high-electron-mobility field-effect-transistors

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Hologram compression in quantitative phase imaging

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Omnidirectional Video Quality Index Accounting for Judder

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A 3D Convolutional Neural Network for Light Field Depth Estimation

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The Effect of Optic Flow Speed on Active Participation during Robot-Assisted Treadmill Walking in Healthy Adults.

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An interpretable semi-supervised classifier using two different strategies for amended self-labeling

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A Range-Independent Disparity-Based Calibration Model for Structured Light Pattern-Based RGBD Sensor

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Improving Plane Fitting Accuracy with Rigorous Error Models of Structured Light-Based RGB-D Sensors

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Joint Registration of Multiple Point Sets with Refinement

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Automatic Indoor as-Built Building Information Models Generation by Using Low-Cost RGB-D Sensors

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Error Assessment and Mitigation Methods in Transient Radar Method

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Correction to: Detecting neurodegenerative pathology in multiple sclerosis before irreversible brain tissue loss sets in

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The responses of the ecosystems in the Tianshan north slope under multiple representative concentration pathway scenarios in the middle of the 21st century

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Development of a scanning PIV technique for 3D characterization of flows in microchannels

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Synthesized View Quality Assessment Using Feature Matching and Superpixel Difference

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Hyperspectral Anomaly Detection through Sparse Representation with Tensor Decomposition-based Dictionary Construction and Adaptive Weighting

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Characterization and Modeling of Hot Carrier Degradation in N-Channel Gate-All-Around Nanowire FETs

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Methods and systems for particle characterisation

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Method and apparatus for compensating motion for a holographic video stream

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Fast and robust fourier domain-based cell differentiation

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Detector for fast-gated detection of electromagnetic radiation

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Theory and numerics of some matrix nearness problems with applications in systems and control

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Guiding the mitigation of epidemics with reinforcement learning

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Naar multivariante pathogeniteitsvoorspellingen: machine-learning om ziekteveroorzakende oligogene variantcombinaties te voorspellen en te onderzoeken

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Use of Current-Assisted Principles in Optical Receivers

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Modelvrij bekrachtigingsleren voor reële wereld robots

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Photonic Mixer

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Contrast Flow Velocity Quantification from Time-Resolved CT Angiography, a Phantom Study.

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A 247 and 272 GHz Two-Stage Regenerative Amplifiers in 65 nm CMOS with 18 and 15 dB Gain Based on Double-G(max) Gain Boosting Technique

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A 1st Order Incremental Sigma-Delta with Refined Digitally Implemented Feed-Forward for 2-stage ADC

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Self-labeling Grey-Box Model: An Interpretable Semi-Supervised Classifier

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Code-Switching Patterns Can Be an Effective Route to Improve Performance of Downstream NLP Applications: A Case Study of Humour, Sarcasm and Hate Speech Detection

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THE OPERATIONALIZATION OF FATIGUE IN FRAILTY SCALES

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RELATIONSHIP BETWEEN BODY COMPOSITION AND SELF-PERCEIVED FATIGUE IN COMMUNITY-DWELLING ADULTS AGED 80 AND OVER?

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RATIO BETWEEN MUSCLE FATIGABILITY AND SELF-PERCEIVED TIREDNESS COULD BE AN IMPORTANT PARAMETER FOR CHARACTERIZING FRAILTY?

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A NEW BIA EQUATION FOR DETERMINING APPENDICULAR LEAN MASS IN COMMUNITY-DWELLING PERSONS AGED 80+

Van Den Broeck, J , Vermeiren, S , Beckwée, D , Vella Azzopardi, R , Beyer, I , Knoop, V , Jansen, B , Delaere, S, Antoine, A , Bautmans, I & Scafoglieri, A 2020, ' A NEW BIA EQUATION FOR DETERMINING APPENDICULAR LEAN MASS IN COMMUNITY-DWELLING PERSONS AGED 80+ ', Osteoporosis International , vol. 31, no. SUPPL 1, NSS101, pp. S130-S131.

Toll-Based Learning for Minimising Congestion under Heterogeneous Preferences

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Thesis Abstract: Teaching a Machine to Diagnose a Heart Disease. Beginning from digitizing scanned ECGs to detecting the Brugada Syndrome (BrS).

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Temporal Collaborative Filtering with Graph Convolutional Neural Networks

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Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics

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Physical Model of Low-Temperature to Cryogenic Threshold Voltage in MOSFETs

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Opponent Modelling using Policy Reconstruction for Multi-Objective Normal Form Games

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Opponent Modelling for Reinforcement Learning in Multi-Objective Normal Form Games: Extended Abstract

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Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey: JAAMAS Track

Radulescu, R , Mannion, P , Roijers, D & Nowe, A 2020, Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey: JAAMAS Track . in Proceedings of the 19th International Conference on Autonomous Agents and Multi-Agent Systems, AAMAS 2020 . IFAAMAS, pp. 2158-2160, The 19th International Conference on Autonomous Agents and Multi-Agent Systems, Auckland, New Zealand, 9/05/20 . < http://www.ifaamas.org/Proceedings/aamas2020/pdfs/p2158.pdf >

Multi-Agent Reinforcement Learning Tool for Job Shop Scheduling Problems

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Learning Salient Segments for Speech Emotion Recognition Using Attentive Temporal Pooling

Xia, X, Jiang, D & Sahli, H 2020, ' Learning Salient Segments for Speech Emotion Recognition Using Attentive Temporal Pooling ', IEEE Access , vol. 8, pp. 151740-151752.

Interpretable Deep Multimodal Image Super-Resolution

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Hyperspectral-Multispectral Image Fusion Enhancement Based on Deep Learning

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Hyperspectral and Multispectral Image Fusion via Graph Laplacian Guided Coupled Tenor Decomposition

Bu, Y, Zhao, Y, Xue, J , Chan, JC-W , Kong, SG, Yi, C, Wen, J & Wang, B 2020, ' Hyperspectral and Multispectral Image Fusion via Graph Laplacian Guided Coupled Tenor Decomposition ', IEEE Transactions on Geoscience and Remote Sensing .

Feature Augmenting Networks for Improving Depression Severity Estimation from Speech Signals

Yang, L, Jiang, D & Sahli, H 2020, ' Feature Augmenting Networks for Improving Depression Severity Estimation from Speech Signals ', IEEE Access , vol. 8, pp. 24033-24045.

Extended Abstract: An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling.

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Designing CNNs for Multimodal Image Super-Resolution via the Method of Multipliers

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DeepFPC: A Deep Unfolded Network for Sparse Signal Recovery from 1-Bit Measurements With Application to DOA Estimation

Xiao, P, Liao, B & Deligiannis, N 2020, ' DeepFPC: A Deep Unfolded Network for Sparse Signal Recovery from 1-Bit Measurements With Application to DOA Estimation ', Signal Processing , vol. 176, pp. 1-8.

Automated MRI volumetry as a diagnostic tool for Alzheimer's disease: Validation of icobrain dm

Struyfs, H, Sima, DM, Wittens, M, Ribbens, A, Pedrosa de Barros, N, Phan, TV, Ferraz Meyer, MI, Claes, L, Niemantsverdriet, E , Engelborghs, S , Van Hecke, W & Smeets, D 2020, ' Automated MRI volumetry as a diagnostic tool for Alzheimer's disease: Validation of icobrain dm ', NeuroImage: Clinical , vol. 26, 102243.

A Utility-Based Analysis of Equilibria in Multi-Objective Normal Form Games

Radulescu, R , Mannion, P, Zhang, Y , Roijers, D & Nowe, A 2020, ' A Utility-Based Analysis of Equilibria in Multi-Objective Normal Form Games ', The Knowledge Engineering Review , vol. 35, e32.

A Robust Deep Unfolded Network for Sparse Signal Recovery from Noisy Binary Measurements

Yang, Y , Xiao, P, Liao, B & Deligiannis, N 2020, A Robust Deep Unfolded Network for Sparse Signal Recovery from Noisy Binary Measurements . in European Signal Processing Conference (EUSIPCO). IEEE, pp. 2060-2064, European Signal Processing Conference, 18/01/21 . < https://www.eurasip.org/Proceedings/Eusipco/Eusipco2020/pdfs/0002060.pdf >

An overview of the emerging JPEG Pleno standard, conformance testing and reference software

Perra, C, Freitas, PG, Seidel, I & Schelkens, P 2020, An overview of the emerging JPEG Pleno standard, conformance testing and reference software . in P Schelkens & T Kozacki (eds), Optics, Photonics and Digital Technologies for Imaging Applications VI. vol. 11353, 113530Y, Proceedings of SPIE - The International Society for Optical Engineering, vol. 11353, SPIE Press, Optics, Photonics and Digital Technologies for Imaging Applications VI 2020, Virtual, Online, France, 6/04/20 .

An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling

Grau, I , Sengupta, D, Garcia Lorenzo, MM & Nowe, A 2020, An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling . in Proceedings of the 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, pp. 1-8, IEEE World Congress on Computational Intelligence (WCCI) 2020, Glasgow, United Kingdom, 19/07/20 .

An efficient model-level fusion approach for continuous affect recognition from audiovisual signals

Pei, E, Jiang, D & Sahli, H 2020, ' An efficient model-level fusion approach for continuous affect recognition from audiovisual signals ', Neurocomputing , vol. 376, pp. 42-53.

AI-Toolbox: A Framework for Fundamental Reinforcement Learning

Bargiacchi, E , Roijers, DM & Nowe, A 2020, AI-Toolbox: A Framework for Fundamental Reinforcement Learning . in L Cao, W Kosters & J Lijffijt (eds), Proceedings of the 32nd Benelux Conference on Artificial Intelligence (BNAIC 2020). Belgian/Netherlands Artificial Intelligence Conference, CEUR Workshop Proceedings, pp. 359-360, 32nd Benelux Conference on Artificial Intelligence/Belgian-Dutch Conference on Machine Learning, Leiden, Netherlands, 19/11/20 . < http://bnaic.liacs.leidenuniv.nl/bnaic2020proceedings.pdf >

 
2019 
Enhanced Sparsity Prior Model for Low-rank Tensor Completion

Xue, J, Zhao, Y, Liao, W , Chan, JC-W & Kong, SG 2019, ' Enhanced Sparsity Prior Model for Low-rank Tensor Completion ', IEEE Transactions on Neural Networks and Learning Systems , pp. 1-15.

Efficient holographic video generation based on rotational transformation of wavefields

Symeonidou, A , Kizhakkumkara Muhamad, R , Birnbaum, T & Schelkens, P 2019, ' Efficient holographic video generation based on rotational transformation of wavefields ', Optics Express , vol. 27, no. 26, pp. 37383-37399.

A Fully Electronically Tunable Millimeter Wave lab-in-waveguide Nano-Fluidic Sensor

He, G, Zhang, Y , De Tandt, C & Stiens, J 2019, ' A Fully Electronically Tunable Millimeter Wave lab-in-waveguide Nano-Fluidic Sensor ', Journal of Physics D: Applied Physics , vol. 53, no. 9, pp. 095404.

Accelerating Interactive Reinforcement Learning byHuman Advice for an Assembly Task by a Cobot

De Winter, J , De Beir, A , El Makrini, I , Van De Perre, G , Nowe, A & Vanderborght, B 2019, ' Accelerating Interactive Reinforcement Learning byHuman Advice for an Assembly Task by a Cobot ', Robotics , vol. 8, no. 4, 104.

Frame-wise CNN-based View Synthesis for Light field Camera Arrays

Schiopu, I , Rondao Alface, P & Munteanu, A 2019, Frame-wise CNN-based View Synthesis for Light field Camera Arrays . in International Conference on 3D Immersion. 2019 edn, 58, 2019 International Conference on 3D Immersion, IC3D 2019 - Proceedings, vol. 2019-January, IEEE, pp. 1, International Conference on 3D Immersion, Brussels, Belgium, 11/12/19 .

Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey

Radulescu, R , Mannion, P , Roijers, D & Nowe, A 2019, ' Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey ', Autonomous Agents and Multi-Agent Systems , vol. 34, no. 1, 10.

Plenoptic camera calibration based on microlens distortion modelling

Darwish, W , Bolsee, Q & Munteanu, A 2019, ' Plenoptic camera calibration based on microlens distortion modelling ', ISPRS Journal of Photogrammetry and Remote Sensing , vol. 158, pp. 146-154.

Exact global motion compensation for holographic video compression

Kizhakkumkara Muhamad, R , Blinder, D , Symeonidou, A , Birnbaum, T , Watanabe, O , Schretter, C & Schelkens, P 2019, ' Exact global motion compensation for holographic video compression ', Applied Optics , vol. 58, no. 34, pp. G204-G217.

Physical Insights on Steep Slope FEFETs including Nucleation-Propagation and Charge Trapping

Xiang, Y, Verhulst, AS , Parvais, B , Horiguchi, N, Groeseneken, G, Houdt, JV, Bardon, MG, Alam, MNK, Thesberg, M, Kaczer, B, Roussel, P, Popovici, MI, Ragnarsson, LA & Truijen, B 2019, Physical Insights on Steep Slope FEFETs including Nucleation-Propagation and Charge Trapping . in 2019 IEEE International Electron Devices Meeting, IEDM 2019. , 8993492, Technical Digest - International Electron Devices Meeting, IEDM, vol. 2019-December, Institute of Electrical and Electronics Engineers Inc., 65th Annual IEEE International Electron Devices Meeting, IEDM 2019, San Francisco, United States, 7/12/19 .

First demonstration of III-V HBTs on 300 mm Si substrates using nano-ridge engineering

Vais, A, Alcotte, R, Ingels, M , Wambacq, P , Parvais, B , Langer, R, Kunert, B, Waldron, N, Collaert, N, Witters, L, Mols, Y, Hernandez, AS, Walke, A, Yu, H, Baryshnikova, M, Mannaert, G & Deshpande, V 2019, First demonstration of III-V HBTs on 300 mm Si substrates using nano-ridge engineering . in 2019 IEEE International Electron Devices Meeting, IEDM 2019. , 8993539, Technical Digest - International Electron Devices Meeting, IEDM, vol. 2019-December, Institute of Electrical and Electronics Engineers Inc., pp. 178-181, 65th Annual IEEE International Electron Devices Meeting, IEDM 2019, San Francisco, United States, 7/12/19 .

Deep coupled-representation learning for sparse linear inverse problems with side information

Tsiligianni, E & Deligiannis, N 2019, ' Deep coupled-representation learning for sparse linear inverse problems with side information ', IEEE Signal Processing Letters , vol. 26, no. 12, 8844082, pp. 1768-1772.

CMOS-compatible GaN-based devices on 200mm-Si for RF applications: Integration and Performance

Peralagu, U, De Jaeger, B, Fleetwood, DM , Wambacq, P , Zhao, M , Parvais, B , Waldron, N, Collaert, N, Alian, A, Putcha, V, Khaled, A, Rodriguez, R, Sibaja-Hernandez, A, Chang, S , Simoen, E & Zhao, SE 2019, CMOS-compatible GaN-based devices on 200mm-Si for RF applications: Integration and Performance . in Proceedings of the 2019 IEEE International Electron Devices Meeting. , 8993582, Technical Digest - International Electron Devices Meeting, IEDM, vol. 2019-December, Institute of Electrical and Electronics Engineers Inc., pp. 17.2.1-17.2.4, 65th Annual IEEE International Electron Devices Meeting, IEDM 2019, San Francisco, United States, 7/12/19 .

A novel preparation method for uniform large-area graphene films on Ni@Cu substrate

Chen, C & Stiens, J 2019, ' A novel preparation method for uniform large-area graphene films on Ni@Cu substrate ', Materials Today Communications , vol. 21, 100607.

A low-cost system for continuous vital sign monitoring using the technology behind pulse-oximeters

Sole Morillo, A , Stiens, J , Van Wittenberghe, E & Malbrain, M 2019, ' A low-cost system for continuous vital sign monitoring using the technology behind pulse-oximeters ', 18th National Day on Biomedical Engineering, Brussels, Belgium, 29/11/18 - 29/11/19 .

Evaluation of different resolution decomposition techniques and neural networks in virtual dual energy imaging

Amador Sanchez, S , Dhont, J, Malbrain, M (ed.) , De Mey, J (ed.) & Vandemeulebroucke, J 2019, ' Evaluation of different resolution decomposition techniques and neural networks in virtual dual energy imaging ', IEEE EMBS Benelux Chapter, Leuven, Belgium, 28/11/19 - 28/11/19 .

The effect of optic flow manipulation on active participation during robot-assisted treadmill walking in healthy adults.

De Keersmaecker, E , Lefeber, N , Serrien, B , Jansen, B , Rodriguez Guerrero, CD, Niazi, N , Kerckhofs, E & Swinnen, E 2019, ' The effect of optic flow manipulation on active participation during robot-assisted treadmill walking in healthy adults. ', Symposium of the Belgian Society for Neurorehabilitation, Brussels, Belgium, 23/11/19 - 23/11/19 .

Paired supervised learning and unsupervised pretraining of CNN-architecture for violence detection in videos

Diaz Berenguer, A , Oveneke, MC, Alioscha-Perez, M & Sahli, H 2019, Paired supervised learning and unsupervised pretraining of CNN-architecture for violence detection in videos . in Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn2019). vol. 2491, CEUR Workshop Proceedings, CEUR Workshop Proceedings, BNAIC 2019, Brussels, Belgium, 7/11/19 . < http://ceur-ws.org/Vol-2491/abstract81.pdf >

End-to-end Anomaly Detection, Correction and Prediction of Missing Values in Historical Daily Temperature Timeseries

Alioscha-Perez, M, Oveneke, MC , Diaz Berenguer, A , BERTRAND, C & Sahli, H 2019, End-to-end Anomaly Detection, Correction and Prediction of Missing Values in Historical Daily Temperature Timeseries . in Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn2019). vol. 2491, CEUR Workshop Proceedings, CEUR Workshop Proceedings, pp. 1-2, BNAIC 2019, Brussels, Belgium, 7/11/19 . < http://ceur-ws.org/Vol-2491/ >

Transfer Reinforcement Learning across Environment Dynamics with Multiple Advisors

Plisnier, H , Steckelmacher, D , Roijers, DM & Nowe, A 2019, ' Transfer Reinforcement Learning across Environment Dynamics with Multiple Advisors ', 31st Benelux Conference on Artificial Intelligence and the 28th Belgian Dutch Conference on Machine Learning, BNAIC/BENELEARN 2019, Brussels, Belgium, 6/11/19 - 8/11/19 .

Transfer Reinforcement Learning across Environment Dynamics with Multiple Advisors

Plisnier, H , Steckelmacher, D , Roijers, D & Nowe, A 2019, Transfer Reinforcement Learning across Environment Dynamics with Multiple Advisors . in Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019). vol. 2491, 11, CEUR Workshop Proceedings, CEUR Workshop Proceedings, 31st Benelux Conference on Artificial Intelligence and the 28th Belgian Dutch Conference on Machine Learning, BNAIC/BENELEARN 2019, Brussels, Belgium, 6/11/19 . < http://ceur-ws.org/Vol-2491/paper11.pdf >

Training a Speech-to-Text Model for Dutch on the Corpus Gesproken Nederlands

Röpke, W , Radulescu, R , Efthymiadis, K & Nowe, A 2019, Training a Speech-to-Text Model for Dutch on the Corpus Gesproken Nederlands . in K Beuls, B Bogaerts, G Bontempi, P Geurts, N Harley, B Lebichot, T Lenaerts, G Louppe & P Van Eecke (eds), Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019). vol. 2491, CEUR Workshop Proceedings, CEUR Workshop Proceedings, 31st Benelux Conference on Artificial Intelligence, Brussels, Belgium, 6/11/19 . < http://ceur-ws.org/Vol-2491/paper60.pdf >

Towards a phylogenetic measure to quantify HIV incidence

Libin, P , Versbraegen, N, Abecasis, A, Gomes, P, Lenaerts, T & Nowe, A 2019, Towards a phylogenetic measure to quantify HIV incidence . in BNAIC 2019. vol. 2491, CEUR Workshop Proceedings, BNAIC 2019, Brussels, Belgium, 7/11/19 . < http://ceur-ws.org/Vol-2491/ >

Tobacco use and associated risk factors in Burkina Faso: results from a population based cross-sectional survey

Bonnechère, BJP, Cissé, K, Millogo, T, Ouédraogo, GH, Garanet, F, Ouedraogo, MA, Boyle, G, Samadoulougou, S, Kouanda, S & Kirakoya-Samadoulougou, F 2019, ' Tobacco use and associated risk factors in Burkina Faso: results from a population based cross-sectional survey ', BMC Public Health , vol. 19, no. 1, 1466, pp. 2-9.

Privacy preserving reinforcement learning over distributed datasets

Loeb, R , Verstraeten, T , Nowe, A & Dooms, A 2019, Privacy preserving reinforcement learning over distributed datasets . in BNAIC: Belgium-Netherlands Conference on Artificial Intelligence. vol. 2491, 153783, CEUR Workshop Proceedings, CEUR Workshop Proceedings, 31st Benelux Conference on Artificial Intelligence and the 28th Belgian Dutch Conference on Machine Learning, BNAIC/BENELEARN 2019, Brussels, Belgium, 6/11/19 .

Failure Avoidance for Wind Turbines through Fleetwide Control

Verstraeten, T , Nowe, A & Helsen, J 2019, Failure Avoidance for Wind Turbines through Fleetwide Control . in Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019). vol. 2491, CEUR Workshop Proceedings, CEUR Workshop Proceedings, The 31st Benelux Conference on Artificial Intelligence and the 28th Belgian Dutch Conference on Machine Learning, Brussels, Belgium, 6/11/19 .

DuStt – a Speech-to-Text Engine for Dutch: Demo Abstract

Röpke, W , Radulescu, R , Efthymiadis, K & Nowe, A 2019, DuStt – a Speech-to-Text Engine for Dutch: Demo Abstract . in K Beuls, B Bogaerts, G Bontempi, P Geurts, N Harley, B Lebichot, T Lenaerts, G Louppe & P Van Eecke (eds), Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019). vol. 2491, CEUR Workshop Proceedings, CEUR Workshop Proceedings, 31st Benelux Conference on Artificial Intelligence, Brussels, Belgium, 6/11/19 . < http://ceur-ws.org/Vol-2491/demo57.pdf >

UPDATED EFFICACY AND SAFETY OF DABRAFENIB PLUS TRAMETINIB IN PATIENTS WITH RECURRENT/REFRACTORY BRAF V600E-MUTATED HIGH-GRADE GLIOMA (HGG) AND LOW-GRADE GLIOMA (LGG)

Wen, P, Stein, A, van den Bent, M , De Greve, J , Dietrich, S, De Vos, F, von Bubnoff, N, van Linde, M, Lai, A, Prager, G, Campone, M, Fasolo, A, Lopez-Martin, J, Kim, TM, Mason, W, Hofheinz, R-D, Blay, J-Y, Cho, D, Gazzah, A, Gomez-Roca, C, Yachnin, J, Boran, A, Burgess, P, Palanichamy, I, Gasal, E & Subbiah, V 2019, ' UPDATED EFFICACY AND SAFETY OF DABRAFENIB PLUS TRAMETINIB IN PATIENTS WITH RECURRENT/REFRACTORY BRAF V600E-MUTATED HIGH-GRADE GLIOMA (HGG) AND LOW-GRADE GLIOMA (LGG) ', Neuro-oncology , vol. 21, pp. 19-19.

The Potential of NeuroEvolution in Computer Aided Diagnosis Systems

Papavasileiou, E & Jansen, B 2019, ' The Potential of NeuroEvolution in Computer Aided Diagnosis Systems ', 18th National Day on Biomedical Engineering, Brussels, Belgium, 29/11/18 - 29/11/19 .

Spectral super-resolution for multispectral image based on spectral improvement strategy and spatial preservation strategy

Yi, C, Zhao, Y & Chan, JC-W 2019, ' Spectral super-resolution for multispectral image based on spectral improvement strategy and spatial preservation strategy ', IEEE Transactions on Geoscience and Remote Sensing , vol. 57, no. 11, pp. 9010-9024.

Nonconvex Tensor Rank Minimization and Its Applications to Tensor Recovery

Xue, J, Zhao, Y, Liao, W & Chan, JC-W 2019, ' Nonconvex Tensor Rank Minimization and Its Applications to Tensor Recovery ', Information Sciences , vol. 503, pp. 109-128.

Ge Devices: A Potential Candidate for Sub-5-nm Nodes?

Sharan, N, Eneman, G, Collaert, N , Parvais, B , Spessot, A, Mocuta, A, Shaik, KA, Jang, D, Schuddinck, P, Yakimets, D, Bardon, MG, Mitard, J, Arimura, H & Bufler, FM 2019, ' Ge Devices: A Potential Candidate for Sub-5-nm Nodes? ', IEEE Transactions on Electron Devices , vol. 66, no. 11, 8868097, pp. 4997-5002.

Bayesian Anytime m-top Exploration

Libin, P , Verstraeten, T , Roijers, DM , Wang, W, Theys, K & Nowe, A 2019, Bayesian Anytime m-top Exploration . in 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI). pp. 1422-1428, ICTAI, Portland, United States, 4/11/19 .

Accuracy Assessment of Different Photogrammetric Software for Processing Data from Low-Cost UAV Platforms in Forest Conditions

Brach, M , Chan, JC-W & Szymanski, P 2019, ' Accuracy Assessment of Different Photogrammetric Software for Processing Data from Low-Cost UAV Platforms in Forest Conditions ', IForest , vol. 12, no. 5, pp. 435-441.

Deep Learning for Precipitation Estimation from Satellite and Rain Gauges Measurements

Moraux, A , Dewitte, S , Cornelis, B & Munteanu, A 2019, ' Deep Learning for Precipitation Estimation from Satellite and Rain Gauges Measurements ', Remote Sensing , vol. 11, no. 21, 2463.

Strong cosmic censorship for the Dirac field in the higher dimensional Reissner-Nordstromde Sitter black hole

Liu, X, Vooren, SV, Zhang, H & Zhong, Z 2019, ' Strong cosmic censorship for the Dirac field in the higher dimensional Reissner-Nordstromde Sitter black hole ', JHEP , vol. 2019, no. 10, 186.

Growth mechanism of novelty scaly CNFs@ZnO nanofibers structure and its photoluminescence property

Chen, C , He, G , Hauffman, T , Pletincx, S , De Tandt, C & Stiens, J 2019, ' Growth mechanism of novelty scaly CNFs@ZnO nanofibers structure and its photoluminescence property ', Applied Surface Science , vol. 491, no. 0169-4332, pp. 75-82.

Growth mechanism of novel scaly CNFs@ZnO nanofibers structure and its photoluminescence property

Chen, C, He, G, Zhang, Z, Yan, J, Kou, L , Hauffman, T , Pletincx, S, Zhao, W, Yun, J , De Tandt, C & Stiens, J 2019, ' Growth mechanism of novel scaly CNFs@ZnO nanofibers structure and its photoluminescence property ', Applied Surface Science , vol. 491, pp. 75-82.

Fog-orchestrated and server-controlled anonymous group authentication and key agreement

Shabisha, P , Braeken, A , Kumar, P & Steenhaut, K 2019, ' Fog-orchestrated and server-controlled anonymous group authentication and key agreement ', IEEE Access , vol. 7, 8865043, pp. 150247-150261.

Deep-Learning based Depth Estimation for Light Field Images

Schiopu, I & Munteanu, A 2019, ' Deep-Learning based Depth Estimation for Light Field Images ', Electronics Letters , vol. 55, no. 20, el.2019.2073, pp. 1086–1088.

Efficient algorithms for the accurate propagation of extreme-resolution holograms

Blinder, D & Shimobaba, T 2019, ' Efficient algorithms for the accurate propagation of extreme-resolution holograms ', Optics Express , vol. 27, no. 21, pp. 29905-29915.

Hyperspectral Image Denoising Using Global Weighted Tensor Norm Minimum and Nonlocal Low-Rank Approximation

Kong, X, Zhao, Y & Chan, JC-W 2019, ' Hyperspectral Image Denoising Using Global Weighted Tensor Norm Minimum and Nonlocal Low-Rank Approximation ', Remote Sensing , vol. 11, no. 19, 2281.

Hyper-Laplacian Regularized Nonlocal Low-rank Matrix Recovery for Hyperspectral Image Compressive Sensing Reconstruction

Xue, J, Zhao, Y, Liao, W & Chan, JC-W 2019, ' Hyper-Laplacian Regularized Nonlocal Low-rank Matrix Recovery for Hyperspectral Image Compressive Sensing Reconstruction ', Information Sciences , vol. 501, pp. 406-420.

Class feature pyramids for video explanation

Stergiou, A , Kapidis, G, Kalliatakis, G, Chrysoulas, C, Poppe, R & Veltkamp, R 2019, Class feature pyramids for video explanation . in Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019. , 9022210, Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019, Institute of Electrical and Electronics Engineers Inc., pp. 4255-4264, 17th IEEE/CVF International Conference on Computer Vision Workshop, ICCVW 2019, Seoul, Korea, Republic of, 27/10/19 .

Visualization of real-time heterogeneous smart city data using virtual reality

Vanden Broucke, S & Deligiannis, N 2019, Visualization of real-time heterogeneous smart city data using virtual reality . in 5th IEEE International Smart Cities Conference, ISC2 2019. , 9071699, IEEE, pp. 685-690, the IEEE International Smart Cities Conference, Casablanca, Morocco, 14/10/19 .

The amount of HF-rTMS sessions modifies the SERT availability and determines an increase or decrease in central homovanillic acid and 3,4-dihydroxyphenylacetic acid

Dockx, R, Peremans, K , De Bundel, D , Van Eeckhaut, A , Vlerick, L, Polis, I, Van Laeken, N, Pauwelyn, G, Goethals, I, De Vos, F, Dobbeleire, A, Saunders, JH & Baeken, C 2019, ' The amount of HF-rTMS sessions modifies the SERT availability and determines an increase or decrease in central homovanillic acid and 3,4-dihydroxyphenylacetic acid ', European Journal of Nuclear Medicine and Molecular Imaging , vol. 46, no. SUPPL 1, pp. S699-S700.

Spatio-Temporal FAST 3D Convolutions for Human Action Recognition

Stergiou, A & Poppe, R 2019, Spatio-Temporal FAST 3D Convolutions for Human Action Recognition . in 2019 IEEE International Conference On Machine Learning And Applications (ICMLA). pp. 183-190.

CT imaging-based study of ventilation heterogeneity in smokers :the respective roles of unequal lung expansion and peripheral lung structure

Verbanck, S , Polfliet, M, Schuermans, D , Ilsen, B , De Mey, J , Vanderhelst, E & Vandemeulebroucke, J 2019, ' CT imaging-based study of ventilation heterogeneity in smokers :the respective roles of unequal lung expansion and peripheral lung structure ', European Respiratory Journal , vol. 54, no. S63, PA4808.

Current assisted avalanche photo diodes (CAAPDs) with separate absorption and multiplication region in conventional CMOS

Jegannathan, G , Ingelberts, H , Boulanger, S & Kuijk, M 2019, ' Current assisted avalanche photo diodes (CAAPDs) with separate absorption and multiplication region in conventional CMOS ', Applied Physics Letters , vol. 115, no. 13, 132101, pp. 1-5.

A 112-142GHz Power Amplifier with Regenerative Reactive Feedback achieving 17dBm peak Psat at 13% PAE

Visweswaran, A, Vignon, B , Tang, X , Brebels, S, Debaillie, B & Wambacq, P 2019, A 112-142GHz Power Amplifier with Regenerative Reactive Feedback achieving 17dBm peak Psat at 13% PAE . in ESSCIRC 2019 - IEEE 45th European Solid State Circuits Conference. ESSCIRC 2019 - IEEE 45th European Solid State Circuits Conference, Institute of Electrical and Electronics Engineers Inc., pp. 337-340.

GestureVLAD: Combining Unsupervised Features Representation and Spatio-Temporal Aggregation for Doppler-Radar Gesture Recognition

Díaz Berenguer, A , Oveneke, MC , Khalid, H-U-R , Alioscha-Perez, M, Bourdoux, A & Sahli, H 2019, ' GestureVLAD: Combining Unsupervised Features Representation and Spatio-Temporal Aggregation for Doppler-Radar Gesture Recognition ', IEEE Access , vol. 7, 8844679, pp. 137122-137135.

CABE: A Cloud-Based Acoustic Beamforming Emulator for FPGA-Based Sound Source Localization

Segers, L , Vandendriessche, J , Vandervelden, T , Lapauw, BJ , Da Silva Gomez, B , Braeken, A & Touhafi, A 2019, ' CABE: A Cloud-Based Acoustic Beamforming Emulator for FPGA-Based Sound Source Localization ', Sensors , vol. 19, no. 18, 3906, pp. 1-37.

Performance analysis of JPEG Pleno light field coding

Perra, C, Astola, P, da Silva, EAB, Khanmohammad, H, Pagliari, C , Schelkens, P & Tabus, I 2019, Performance analysis of JPEG Pleno light field coding . in AG Tescher & T Ebrahimi (eds), SPIE Optics + Photonics 2019, Applications of Digital Image Processing XLII. vol. 11137, 111371H, Proceedings of SPIE - The International Society for Optical Engineering, vol. 11137, SPIE, SPIE Optics + Photonics 2019, Applications of Digital Image Processing XLII, San Diego, California, United States, 11/08/19 .

JPEG Pleno light field coding technologies

Schelkens, P , Astola, P, da Silva, EAB, Pagliari, C, Perra, C, Tabus, I & Watanabe, O 2019, JPEG Pleno light field coding technologies . in AG Tescher & T Ebrahimi (eds), SPIE Optics + Photonics 2019, Applications of Digital Image Processing XLII. vol. 11137, 111371G, Proceedings of SPIE - The International Society for Optical Engineering, vol. 11137, SPIE, SPIE Optics + Photonics 2019, Applications of Digital Image Processing XLII, San Diego, California, United States, 11/08/19 .

An exploratory study towards objective quality evaluation of digital hologram coding tools

Corda, R, Gilles, A, Oh, K-J, Pinheiro, A , Schelkens, P & Perra, C 2019, An exploratory study towards objective quality evaluation of digital hologram coding tools . in SPIE Optics + Photonics 2019, Applications of Digital Image Processing XLII. vol. 11137, 111371D, SPIE, SPIE Optics + Photonics 2019, Applications of Digital Image Processing XLII, San Diego, California, United States, 11/08/19 .

Visual Quality Analysis of Judder Effect on Head Mounted Displays

Mahmoudpour, S & Schelkens, P 2019, Visual Quality Analysis of Judder Effect on Head Mounted Displays . in 27th European Signal Processing Conference (EUSIPCO 2019), A Coruña, Spain. 27 edn, A Coruña, Spain, 27th European Signal Processing Conference, A Coruña, Spain, 2/09/19 .

Plenoptic Camera Calibration Based on Sub-Aperture Images

Darwish, W , Bolsee, Q & Munteanu, A 2019, Plenoptic Camera Calibration Based on Sub-Aperture Images . in International Conference on Image Processing, ICIP. 2019 edn, IEEE, pp. 3527-3531, International Conference on Image Processing, Taipei, Taiwan, Province of China, 22/09/19 .

A 22.5-27.7-GHz Fast-Lock Bang-Bang Digital PLL in 28-nm CMOS for Millimeter-Wave Communication with 220-fs RMS Jitter

Tsai, CH , Pepe, F, Mangraviti, G, Zong, Z, Craninckx, J & Wambacq, P 2019, A 22.5-27.7-GHz Fast-Lock Bang-Bang Digital PLL in 28-nm CMOS for Millimeter-Wave Communication with 220-fs RMS Jitter . in ESSCIRC 2019 - IEEE 45th European Solid State Circuits Conference. , 8902868, ESSCIRC 2019 - IEEE 45th European Solid State Circuits Conference, Institute of Electrical and Electronics Engineers Inc., pp. 111-114, 45th IEEE European Solid State Circuits Conference, ESSCIRC 2019, Cracow, Poland, 23/09/19 .

Multi-object tracking in MRI-guided radiotherapy using the tracking-learning-detection framework.

Dhont, J , Vandemeulebroucke, J , Cusumano, D, Boldrini, L, Cellini, F, Valentini, V & Verellen, D 2019, ' Multi-object tracking in MRI-guided radiotherapy using the tracking-learning-detection framework. ', Radiother Oncol , vol. 138, pp. 25-29.

Multimodal Image Super-Resolution via Deep Unfolding with Side Information

Marivani, I , Tsiligianni, E , Cornelis, B & Deligiannis, N 2019, Multimodal Image Super-Resolution via Deep Unfolding with Side Information . in European Signal Processing Conference (EUSIPCO) 2019. European Signal Processing Conference, vol. 2019-September, IEEE, pp. 1-5, 27th European Signal Processing Conference, A Coruña, Spain, 2/09/19 .

Learned Multimodal Convolutional Sparse Coding for Guided Image Super-Resolution

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Designing recurrent neural networks by unfolding an L1-L1 minimization algorithm

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