| Deep learning-based electroencephalography analysis: A systematic review Y Roy, H Banville, I Albuquerque, A Gramfort, J Faubert Journal of Neural Engineering, 2019 | 861 | 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 | 134 | 2021 |
| 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 | 61 | 2016 |
| 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 | 57 | 2019 |
| MuLES: An open source EEG acquisition and streaming server for quick and simple prototyping and recording R Cassani, H Banville, TH Falk Proceedings of the 20th International Conference on Intelligent User …, 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), 1-19, 2016 | 30 | 2016 |
| Wearable computing device with electrophysiological sensors CA Aimone, ST Mackenzie, GD Moffat, H Banville, NH Proulx US Patent 10,452,144, 2019 | 29 | 2019 |
| Mental Task Evaluation for Hybrid NIRS-EEG Brain-Computer Interfaces H Banville, R Gupta, TH Falk Computational Intelligence and Neuroscience 2017, 2017 | 27 | 2017 |
| 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 | 20 | 2015 |
| 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 | 19 | 2022 |
| Robust learning from corrupted EEG with dynamic spatial filtering H Banville, SUN Wood, C Aimone, DA Engemann, A Gramfort NeuroImage, 118994, 2022 | 19 | 2022 |
| 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 | 16 | 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 | 4 | 2021 |
| System and method for brain modelling CA Aimone, G Moffat, HJ BANVILLE, S Wood, S Padmanaban, K Sam, ... US Patent App. 16/858,093, 2020 | 4 | 2020 |
| Toward Mental Workload Measurement Using Multimodal EEG–fNIRS Monitoring H Banville, M Parent, S Tremblay, TH Falk Neuroergonomics, 245-246, 2018 | 4 | 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 |
| Wearable computing apparatus with movement sensors and methods therefor GD Moffat, CA Aimone, HJ BANVILLE, NH Proulx US Patent App. 16/959,833, 2020 | 1 | 2020 |
| Using fNIRS to Characterize Human Influential Factors: Towards Models of Quality of Experience Perception for Text-to-Speech Systems R Gupta, HJ Banville, I Albuquerque, TH Falk cortex 403, 309-312, 2000 | 1 | 2000 |
| Wearable computing device with electrophysiological sensors CA Aimone, ST Mackenzie, GD Moffat, HJ BANVILLE, NH Proulx US Patent App. 17/983,250, 2023 | | 2023 |
| Do try this at home: Age prediction from sleep and meditation with large-scale low-cost mobile EEG H Banville, M Abou Jaoude, SUN Wood, C Aimone, SC Holst, A Gramfort, ... bioRxiv, 2023.04. 29.538328, 2023 | | 2023 |
Tiago H. FalkProfessor, INRS-EMT, University of QuebecVerified email at emt.inrs.ca
