ETRO VUB
About ETRO  |  News  |  Events  |  Vacancies  |  Contact  
Home Research Education Industry Publications About ETRO

ETRO Publications

All 2020 Publications

All ETRO 2020 Publications by Category

Click here for this list in IEEE format.

Journal Publications

“Exploration and mechanism analysis: The maximum ultraviolet luminescence limits of ZnO/few-layer graphene composite films”, in Applied Surface Science

“Omnidirectional Video Quality Index Accounting for Judder”, in IEEE Transactions on Circuits and Systems for Video Technology

“Error Assessment and Mitigation Methods in Transient Radar Method”, in Sensors

“A Multi-Modal Deep Network for RGB-D Segmentation of Clothes”, in Electronics Letters

“Design of D-Band Transformer-Based Gain-Boosting Class-AB Power Amplifiers in Silicon Technologies”, in IEEE Transactions on Circuits and Systems I: Regular Papers

“Characterization and Modeling of Hot Carrier Degradation in N-Channel Gate-All-Around Nanowire FETs”, in IEEE Transactions on Electron Devices

“Elliptic curve-based proxy re-signcryption scheme for secure data storage on the cloud”, in Concurrency Computation

“Toll-based reinforcement learning for efficient equilibria in route choice”, in The Knowledge Engineering Review

“Object-based digital hologram segmentationand motion compensation”, in Opt. Express

“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”, in Games For Health Journal

“A Utility-Based Analysis of Equilibria in Multi-Objective Normal Form Games”, in The Knowledge Engineering Review

“The use of cognitive mobile games to assess the interaction of cognitive function and breath-hold”, in Respiratory Physiology and Neurobiology

“Current-Assisted Single Photon Avalanche Diode (CASPAD) Fabricated in 350 nm Conventional CMOS”, in Applied Sciences

“Two-level clustering methodology for smart metering data”, in Cuadernos de Administración

“A generic method of wearable items virtual try-on”, in Textile research journal

“Thick Cloud Removal with Optical and SAR Imagery via Convolutional-Mapping -Deconvolutional Network”, in IEEE Transactions on Geoscience and Remote Sensing

“Content-Guided Convolutional Neural Network for Hyperspectral Image Classification”, in IEEE Transactions on Geoscience and Remote Sensing

“Global and Local Tensor Sparse Approximation Models for Hyperspectral Image Destriping”, in Remote Sensing

“Collaborative learning of lightweight convolutional neural network and deep clustering for hyperspectral image semi-supervised classification with limited training samples”, in ISPRS Journal of Photogrammetry and Remote Sensing

“Joint Spatial-spectral Resolution Enhancement of Multispectral Images with Spectral Matrix Factorization and Spatial Sparsity Constraints”, in Remote Sensing

“Multi-Agent Thompson Sampling for Bandit Applications with Sparse Neighborhood Structures”, in Scientific Reports - Nature

“Spatiotemporal and spectral dynamics of multi-item working memory as revealed by the n-back task using MEG”, in Human Brain Mapping

“A Range-Independent Disparity-Based Calibration Model for Structured Light Pattern-Based RGBD Sensor”, in Sensors

“Improving Plane Fitting Accuracy with Rigorous Error Models of Structured Light-Based RGB-D Sensors”, in Remote Sensing

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

“Message-Based Communication for Heterogeneous Internet of Things Systems”, in Sensors

“Hyperspectral and Multispectral Image Fusion via Graph Laplacian Guided Coupled Tenor Decomposition”, in IEEE Transactions on Geoscience and Remote Sensing

“Hyperspectral Anomaly Detection through Sparse Representation with Tensor Decomposition-based Dictionary Construction and Adaptive Weighting”, in IEEE Access

Conference Publications

“Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics”, in European Conference on Machine Learning 2019

“Fleet Control using Coregionalized Gaussian Process Policy Iteration”, in the 24th European Conference on Artificial Intelligence (ECAI 2020)

“Thompson Sampling for Factored Multi-Agent Bandits”, in Autonomous Agents and Multi-Agent Systems

“Opponent Modelling for Reinforcement Learning in Multi-Objective Normal Form Games: Extended Abstract”, in Proceedings of the 19th International Conference on Autonomous Agents and Multi-Agent Systems, AAMAS 2020

“Toll-Based Learning for Minimising Congestion under Heterogeneous Preferences”, in Proceedings of the 19th International Conference on Autonomous Agents and Multi-Agent Systems, AAMAS 2020

“Graph Auto-encoder For Graph Signal Denoising”, in 2020 IEEE International Conference on Acoustics, Speech and Signal Processing

“Bayesian Anytime m-top Exploration”, in ICTAI

“A 12mW 10GHz FMCW PLL Based on an Integrating DAC with 90kHz rms Frequency Error for 23MHz/Ás Slope and 1.2GHz Chirp Bandwidth”, in 2020 International Solid-State Circuits Conference

“Hologram compression in quantitative phase imaging”, in Proc. SPIE 11249

“Artificially augmenting data or adding more samples? A study on a 3D CNN for lung nodule classification”, in SPIE Medical Imaging 2020

“Evaluating several ways to combine handcrafted features-based system with a deep learning system using the LUNA16 Challenge framework”, in SPIE Medical Imaging 2020

“Automated threshold selection on whole-body 18F-FDG PET/CT for assessing tumor metabolic response”, in SPIE Medical Imaging 2020

“Thompson Sampling for Factored Multi-Agent Bandits: Extended Abstract”, in The 19th International Conference on Autonomous Agents and Multi-Agent Systems

“Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey: JAAMAS Track”, in The 19th International Conference on Autonomous Agents and Multi-Agent Systems 2020

“Contrast flow velocity quantification from time-resolved CT angiography: a phantom study”, in SPIE Medical Imaging 2020

“Multi-Agent Reinforcement Learning Tool for Job Shop Scheduling Problems”, in The International Conference in Optimization and Learning

“Opponent Modelling using Policy Reconstruction for Multi-Objective Normal Form Games”, in Proceedings of the Adaptive and Learning Agents Workshop 2020 (ALA2020) at AAMAS

“A 3D Convolutional Neural Network for Light Field Depth Estimation”, in 2019 International Conference on 3D Immersion (IC3D)

“Neural Architecture Search under black-box objectives with deep reinforcement learning and increasingly-sparse rewards”, in International Conference on Artificial Intelligence in Information and Communication

“Deep reinforcement learning for large-scale epidemic control”, in Proceedings of the Adaptive and Learning Agents Workshop 2020 (ALA2020) at AAMAS

“Compact time-resolved fluorescence spectrometer”, in SPIE Photonics Europe, 2020

“AUGMENTED REALITY ASSISTED NEUROSURGICAL DRAIN PLACEMENT (ARANED): TECHNICAL NOTE”

“A 28GHz Two-Way Current Combining Stacked-FET Power Amplifier in 22nm FD-SOI”, in 2020 IEEE Custom Integrated Circuits Conference (CICC)

“A 10.56Gbit/s, -27.8dB EVM Polar Transmitter at 60GHz in 28nm CMOS”, in 2020 IEEE Radio Frequency Integrated Circuits Symposium (RFIC)

“An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling”, in IEEE World Congress on Computational Intelligence (WCCI) 2020

Book Publications

“Hyperspectral-Multispectral Image Fusion Enhancement Based on Deep Learning”, in Hyperspectral Image Analysis - Advances in Machine Learning and Signal Processing

Other Publications

“Reconfigurable Terahertz Dipole Antenna with Integrated Graphene Sheets”

“Correction to: Detecting neurodegenerative pathology in multiple sclerosis before irreversible brain tissue loss sets in”, in Translational neurodegeneration

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

“Ratio between muscle fatigability and self-perceived tiredness could be an important parameter for characterizing frailty”

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

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

Other Publications

• Journal publications

IRIS • LAMI • AVSP

• Conference publications

IRIS • LAMI • AVSP

• Book publications

IRIS • LAMI • AVSP

• Reports

IRIS • LAMI • AVSP

• Laymen publications

IRIS • LAMI • AVSP

• PhD Theses

Search ETRO Publications

Author:

Keyword:  

Type:








- Contact person

- IRIS

- AVSP

- LAMI

- Contact person

- Thesis proposals

- ETRO Courses

- Contact person

- Spin-offs

- Know How

- Journals

- Conferences

- Books

- Vacancies

- News

- Events

- Press

Contact

ETRO Department

info@etro.vub.ac.be

Tel: +32 2 629 29 30

©2020 • Vrije Universiteit Brussel • ETRO Dept. • Pleinlaan 2 • 1050 Brussels • Tel: +32 2 629 2930 (secretariat) • Fax: +32 2 629 2883 • WebmasterDisclaimer