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Hubert Banville
Hubert Banville
Meta AI
E-mail confirmado em meta.com - Página inicial
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Deep learning-based electroencephalography analysis: A systematic review
Y Roy, H Banville, I Albuquerque, A Gramfort, J Faubert
Journal of Neural Engineering, 2019
11992019
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
2212021
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
772016
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
762019
Wearable computing device with electrophysiological sensors
CA Aimone, ST Mackenzie, GD Moffat, H Banville, NH Proulx
US Patent 10,452,144, 2019
642019
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
592022
Brain decoding: toward real-time reconstruction of visual perception
Y Benchetrit, H Banville, JR King
arXiv preprint arXiv:2310.19812, 2023
382023
Mental task evaluation for hybrid NIRS‐EEG brain‐computer interfaces
H Banville, R Gupta, TH Falk
Computational intelligence and neuroscience 2017 (1), 3524208, 2017
362017
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
362015
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
352016
Robust learning from corrupted EEG with dynamic spatial filtering
H Banville, SUN Wood, C Aimone, DA Engemann, A Gramfort
NeuroImage, 118994, 2022
332022
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
232015
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
202016
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
72021
Toward Mental Workload Measurement Using Multimodal EEG–fNIRS Monitoring
H Banville, M Parent, S Tremblay, TH Falk
Neuroergonomics, 245-246, 2018
72018
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
32015
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
22024
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
22023
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
12023
Enabling real-world EEG applications with deep learning
H Banville
Université Paris-Saclay, 2022
12022
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