| Single finger trajectory prediction from intracranial brain activity using block-term tensor regression with fast and automatic component extraction A Faes, F Camarrone, MM Van Hulle IEEE Transactions on Neural Networks and Learning Systems 35 (7), 8897-8908, 2022 | 14 | 2022 |
| Source space reduction for eLORETA A Faes, A de Borman, MM Van Hulle Journal of Neural Engineering 18 (6), 066014, 2021 | 9 | 2021 |
| The role of distinct ECoG frequency features in decoding finger movement EC Merino, A Faes, MM Van Hulle Journal of Neural Engineering 20 (6), 066014, 2023 | 7 | 2023 |
| Finger movement and coactivation predicted from intracranial brain activity using extended block-term tensor regression A Faes, MM Van Hulle Journal of Neural Engineering 19 (6), 066011, 2022 | 7 | 2022 |
| Concatenation, embedding and sharding: Do HTTP/1 performance best practices make sense in HTTP/2? R Marx, P Quax, A Faes, W Lamotte Scitepress, 2017 | 7 | 2017 |
| Purpose-centric appropriation of everyday objects as game controllers K Todi, D Degraen, B Berghmans, A Faes, M Kaminski, K Luyten Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors …, 2016 | 6 | 2016 |
| Household survival: immersive room-sized gaming using everyday objects as weapons B Berghmans, A Faes, M Kaminski, K Todi Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors …, 2016 | 5 | 2016 |
| Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical data A Pirmani, E De Brouwer, Á Arany, M Oldenhof, A Passemiers, A Faes, ... NPJ digital medicine 8 (1), 478, 2025 | 4 | 2025 |
| Neural Networks for Directed Connectivity Estimation in Source-Reconstructed EEG Data A Faes, I Vantieghem, MM Van Hulle Applied Sciences 12 (6), 2889, 2022 | 3 | 2022 |
| Web performance characteristics of http/2 and comparison to http/1.1 R Marx, M Wijnants, P Quax, A Faes, W Lamotte International Conference on Web Information Systems and Technologies, 87-114, 2017 | 3 | 2017 |
| Efficient Compilation of Algebraic Effects and Handlers. CW Reports. Department of Computer Science, KU Leuven; Leuven, Belgium M Pretnar, AHS Saleh, A Faes, T Schrijvers | 3 | 2017 |
| Federated Block-Term Tensor Regression for decentralised data analysis in healthcare A Faes, A Pirmani, Y Moreau, LM Peeters arXiv preprint arXiv:2412.06815, 2024 | 2 | 2024 |
| Decoding sign language finger flexions from high-density electrocorticography using graph-optimized block term tensor regression A Faes, EC Merino, MP Branco, A Van Hoylandt, E Keirse, T Theys, ... Journal of Neural Engineering 22 (2), 026065, 2025 | 1 | 2025 |
| Use of big data and artificial intelligence in multiple sclerosis LM Peeters, A Faes, HP Hartung Frontiers in Immunology 16, 1679482, 2025 | | 2025 |
| On the Impact of Proprioception in EEG Representations and Decoding during Human-Hand Exoskeleton Interaction Q Sun, EC Merino, L Yang, A Faes, MM Van Hulle 2025 International Conference On Rehabilitation Robotics (ICORR), 186-192, 2025 | | 2025 |
| Finger Movement Decoding: From Source-Localisation to Tensor Regression Modelling A Faes, M Van Hulle | | 2023 |
| Efficient compilation of algebraic effects and handlers M Pretnar, AHS Saleh, A Faes, T Schrijvers CW Reports, 2017 | | 2017 |
| Causal Graphical Modelling of Functional Connectivity from Reconstructed EEG Sources A Faes, MF Hnazaee, M Van Hulle | | |
| High-gamma band event detection improves stability of finger trajectories decoded from ECoG-LMP activity EC Merino, A Faes, MM Van Hulle | | |
| Towards a core language with row-based effects for optimised compilation A Faes, T Schrijvers | | |
Tom SchrijversProfessor of Computer Science, KU LeuvenVerified email at kuleuven.be
