| Deep learning-based electroencephalography analysis: A systematic review Y Roy, H Banville, I Albuquerque, A Gramfort, J Faubert Journal of Neural Engineering, 2019 | 1164 | 2019 |
| Uncovering the structure of clinical EEG signals with self-supervised learning H Banville, O Chehab, A Hyvärinen, DA Engemann, A Gramfort Journal of Neural Engineering 18 (4), 046020, 2021 | 208 | 2021 |
| Self-supervised representation learning from electroencephalography signals H Banville, I Albuquerque, A Hyvärinen, G Moffat, DA Engemann, ... 2019 IEEE 29th International Workshop on Machine Learning for Signal …, 2019 | 74 | 2019 |
| Recent advances and open challenges in hybrid brain-computer interfacing: a technological review of non-invasive human research H Banville, TH Falk Brain-Computer Interfaces 3 (1), 9-46, 2016 | 74 | 2016 |
| Wearable computing device with electrophysiological sensors CA Aimone, ST Mackenzie, GD Moffat, H Banville, NH Proulx US Patent 10,452,144, 2019 | 58 | 2019 |
| A reusable benchmark of brain-age prediction from M/EEG resting-state signals DA Engemann, A Mellot, R Höchenberger, H Banville, D Sabbagh, ... NeuroImage 262, 119521, 2022 | 57 | 2022 |
| MuLES: An open source EEG acquisition and streaming server for quick and simple prototyping and recording R Cassani, H Banville, TH Falk Companion Proceedings of the 20th International Conference on Intelligent …, 2015 | 36 | 2015 |
| Using affective brain-computer interfaces to characterize human influential factors for speech quality-of-experience perception modelling R Gupta, K Laghari, H Banville, TH Falk Human-centric Computing and Information Sciences 6, 1-19, 2016 | 35 | 2016 |
| Mental task evaluation for hybrid NIRS‐EEG brain‐computer interfaces H Banville, R Gupta, TH Falk Computational intelligence and neuroscience 2017 (1), 3524208, 2017 | 34 | 2017 |
| Robust learning from corrupted EEG with dynamic spatial filtering H Banville, SUN Wood, C Aimone, DA Engemann, A Gramfort NeuroImage, 118994, 2022 | 31 | 2022 |
| Brain decoding: toward real-time reconstruction of visual perception Y Benchetrit, H Banville, JR King arXiv preprint arXiv:2310.19812, 2023 | 29 | 2023 |
| PhySyQX: A database for physiological evaluation of synthesised speech quality-of-experience R Gupta, HJ Banville, TH Falk 2015 IEEE workshop on applications of signal processing to audio and …, 2015 | 22 | 2015 |
| Multimodal physiological quality-of-experience assessment of text-to-speech systems R Gupta, HJ Banville, TH Falk IEEE Journal of Selected Topics in Signal Processing 11 (1), 22-36, 2016 | 19 | 2016 |
| Learning with self-supervision on EEG data A Gramfort, H Banville, O Chehab, A Hyvärinen, D Engemann 2021 9th International Winter Conference on Brain-Computer Interface (BCI), 1-2, 2021 | 7 | 2021 |
| Toward Mental Workload Measurement Using Multimodal EEG–fNIRS Monitoring H Banville, M Parent, S Tremblay, TH Falk Neuroergonomics, 245-246, 2018 | 5 | 2018 |
| Hybrid Brain-Computer Interfaces: Improving Mental Task Classification Performance through Fusion of Neurophysiological Modalities. HJ Banville Université du Québec, Institut national de la recherche scientifique, 2015 | 3 | 2015 |
| Do try this at home: Age prediction from sleep and meditation with large-scale low-cost mobile EEG H Banville, MA Jaoude, SUN Wood, C Aimone, SC Holst, A Gramfort, ... Imaging Neuroscience 2, 1-15, 2024 | 2 | 2024 |
| Aligning brain functions boosts the decoding of visual semantics in novel subjects A Thual, Y Benchetrit, F Geilert, J Rapin, I Makarov, H Banville, JR King arXiv preprint arXiv:2312.06467, 2023 | 1 | 2023 |
| Automated Sleep Staging on Wearable EEG Enables Sleep Analysis at Scale M Abou Jaoude, A Ravi, J Niu, H Banville, NF Torres, C Aimone 2023 11th International IEEE/EMBS Conference on Neural Engineering (NER), 1-4, 2023 | 1 | 2023 |
| Enabling real-world EEG applications with deep learning H Banville Université Paris-Saclay, 2022 | 1 | 2022 |
Tiago H. FalkProfessor, INRS-EMT, University of QuebecVerified email at emt.inrs.ca
