Hubert Banville
Hubert Banville
Inria, Parietal, Université Paris-Saclay, InteraXon
Verified email at inria.fr
Title
Cited by
Cited by
Year
Deep learning-based electroencephalography analysis: a systematic review
Y Roy, H Banville, I Albuquerque, A Gramfort, J Faubert
arXiv preprint arXiv:1901.05498, 2019
3462019
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
372016
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
282015
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
212016
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
162021
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
152019
Mental Task Evaluation for Hybrid NIRS-EEG Brain-Computer Interfaces
H Banville, R Gupta, TH Falk
Computational Intelligence and Neuroscience 2017, 2017
152017
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
142015
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
132016
Wearable computing device with electrophysiological sensors
CA Aimone, ST Mackenzie, GD Moffat, H Banville, NH Proulx
US Patent 10,452,144, 2019
92019
Toward Mental Workload Measurement Using Multimodal EEG–fNIRS Monitoring
H Banville, M Parent, S Tremblay, TH Falk
Neuroergonomics, 245-246, 2018
32018
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
22015
Wearable computing device with electrophysiological sensors
CA Aimone, ST Mackenzie, GD Moffat, HJ BANVILLE, NH Proulx
US Patent 10,942,568, 2021
12021
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
12000
Robust learning from corrupted EEG with dynamic spatial filtering
H Banville, SUN Wood, C Aimone, DA Engemann, A Gramfort
arXiv preprint arXiv:2105.12916, 2021
2021
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
2021
Wearable computing apparatus with movement sensors and methods therefor
GD Moffat, CA Aimone, HJ BANVILLE, NH Proulx
US Patent App. 16/959,833, 2020
2020
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
2020
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