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Hubert J. Banville
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2020 – today
- 2024
- [c6]Yohann Benchetrit, Hubert J. Banville, Jean-Remi King:
Brain decoding: toward real-time reconstruction of visual perception. ICLR 2024 - 2023
- [c5]Maurice Abou Jaoude
, Aravind Ravi, Jiansheng Niu, Hubert J. Banville, Nicolas Florez Torres, Christopher Aimone:
Automated Sleep Staging on Wearable EEG Enables Sleep Analysis at Scale. NER 2023: 1-4 - [i6]Yohann Benchetrit, Hubert J. Banville, Jean-Rémi King:
Brain decoding: toward real-time reconstruction of visual perception. CoRR abs/2310.19812 (2023) - [i5]Alexis Thual, Yohann Benchetrit, Felix Geilert, Jérémy Rapin, Iurii Makarov, Hubert J. Banville, Jean-Rémi King:
Aligning brain functions boosts the decoding of visual semantics in novel subjects. CoRR abs/2312.06467 (2023) - 2022
- [b1]Hubert J. Banville:
Enabling real-world EEG applications with deep learning. (Apprentissage profond pour la mise en application de l'EEG en conditions réelles). University of Paris-Saclay, France, 2022 - [j5]Hubert J. Banville
Robust learning from corrupted EEG with dynamic spatial filtering. NeuroImage 251: 118994 (2022) - [j4]Denis A. Engemann
A reusable benchmark of brain-age prediction from M/EEG resting-state signals. NeuroImage 262: 119521 (2022) - 2021
- [c4]Alexandre Gramfort, Hubert J. Banville, Omar Chehab
Learning with self-supervision on EEG data. BCI 2021: 1-2 - [i4]Hubert J. Banville, Sean U. N. Wood, Chris Aimone, Denis-Alexander Engemann, Alexandre Gramfort:
Robust learning from corrupted EEG with dynamic spatial filtering. CoRR abs/2105.12916 (2021) - 2020
- [i3]Hubert J. Banville, Omar Chehab, Aapo Hyvärinen, Denis-Alexander Engemann, Alexandre Gramfort:
Uncovering the structure of clinical EEG signals with self-supervised learning. CoRR abs/2007.16104 (2020)
2010 – 2019
- 2019
- [c3]Hubert J. Banville, Graeme Moffat, Isabela Albuquerque, Denis-Alexander Engemann
Self-Supervised Representation Learning from Electroencephalography Signals. MLSP 2019: 1-6 - [i2]Yannick Roy, Hubert J. Banville, Isabela Albuquerque, Alexandre Gramfort, Tiago H. Falk, Jocelyn Faubert:
Deep learning-based electroencephalography analysis: a systematic review. CoRR abs/1901.05498 (2019) - [i1]Hubert J. Banville, Isabela Albuquerque, Aapo Hyvärinen, Graeme Moffat, Denis-Alexander Engemann, Alexandre Gramfort:
Self-supervised representation learning from electroencephalography signals. CoRR abs/1911.05419 (2019) - 2017
- [j3]Hubert J. Banville
Mental Task Evaluation for Hybrid NIRS-EEG Brain-Computer Interfaces. Comput. Intell. Neurosci. 2017: 3524208:1-3524208:24 (2017) - [j2]Rishabh Gupta, Hubert J. Banville, Tiago H. Falk
Multimodal Physiological Quality-of-Experience Assessment of Text-to-Speech Systems. IEEE J. Sel. Top. Signal Process. 11(1): 22-36 (2017) - 2016
- [j1]Rishabh Gupta, Khalil ur Rehman Laghari, Hubert J. Banville, Tiago H. Falk
Using affective brain-computer interfaces to characterize human influential factors for speech quality-of-experience perception modelling. Hum. centric Comput. Inf. Sci. 6: 5 (2016) - 2015
- [c2]Raymundo Cassani, Hubert J. Banville, Tiago H. Falk
MuLES: An Open Source EEG Acquisition and Streaming Server for Quick and Simple Prototyping and Recording. IUI Companion 2015: 9-12 - [c1]Rishabh Gupta, Hubert J. Banville, Tiago H. Falk
PhySyQX: A database for physiological evaluation of synthesised speech quality-of-experience. WASPAA 2015: 1-5
Coauthor Index
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