Sylvain Chevallier
Sylvain Chevallier
LISN - Université Paris-Saclay, France
Verified email at - Homepage
Cited by
Cited by
An introduction to deep learning
L Arnold, S Rebecchi, S Chevallier, H Paugam-Moisy
European Symposium on Artificial Neural Networks (ESANN), 2011
Online SSVEP-based BCI using Riemannian Geometry
EK Kalunga, S Chevallier, K Djouani, E Monacelli, Y Hamam
Neurocomputing 191, 55-68, 2016
Subject-specific time-frequency selection for multi-class motor imagery-based BCIs using few Laplacian EEG channels
Y Yang, S Chevallier, J Wiart, I Bloch
Biomedical Signal Processing and Control 38, 302-311, 2017
Subject-specific channel selection using time information for motor imagery brain–computer interfaces
Y Yang, I Bloch, S Chevallier, J Wiart
Cognitive Computation 8, 505-518, 2016
Review of Riemannian distances and divergences, applied to SSVEP-based BCI
S Chevallier, EK Kalunga, Q Barthélemy, E Monacelli
Neuroinformatics 19 (1), 93-106, 2021
SMR/theta neurofeedback training improves cognitive performance and EEG activity in elderly with mild cognitive impairment: a pilot study
F Marlats, G Bao, S Chevallier, M Boubaya, L Djabelkhir-Jemmi, YH Wu, ...
Frontiers in Aging Neuroscience 12, 147, 2020
Time-frequency optimization for discrimination between imagination of right and left hand movements based on two bipolar electroencephalography channels
Y Yang, S Chevallier, J Wiart, I Bloch
EURASIP Journal on Advances in Signal Processing 2014 (1), 38, 2014
SSVEP enhancement based on Canonical Correlation Analysis to improve BCI performances
E Kalunga, K Djouani, Y Hamam, S Chevallier, E Monacelli
2013 Africon, 1-5, 2013
Automatic selection of the number of spatial filters for motor-imagery BCI
Y Yang, S Chevallier, J Wiart, I Bloch
The proceeding of 20th European Symposium on Artificial Neural Networks …, 2012
From Euclidean to Riemannian means: Information geometry for SSVEP classification
EK Kalunga, S Chevallier, Q Barthélemy, K Djouani, Y Hamam, ...
Geometric Science of Information: Second International Conference, GSI 2015 …, 2015
2021 BEETL competition: Advancing transfer learning for subject independence and heterogenous EEG data sets
X Wei, AA Faisal, M Grosse-Wentrup, A Gramfort, S Chevallier, V Jayaram, ...
NeurIPS 2021 Competitions and Demonstrations Track, 205-219, 2022
Artificial neurogenesis: An introduction and selective review
T Kowaliw, N Bredeche, S Chevallier, R Doursat
Growing Adaptive Machines: Combining Development and Learning in Artificial …, 2014
Time-frequency selection in two bipolar channels for improving the classification of motor imagery EEG
Y Yang, S Chevallier, J Wiart, I Bloch
2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012
Hybrid interface: Integrating BCI in multimodal human-machine interfaces
EK Kalunga, S Chevallier, O Rabreau, E Monacelli
2014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics …, 2014
Data augmentation in riemannian space for brain-computer interfaces
E Kalunga, S Chevallier, Q Barthélemy
Functional connectivity ensemble method to enhance BCI performance (FUCONE)
MC Corsi, S Chevallier, FDV Fallani, F Yger
IEEE Transactions on Biomedical Engineering, 2022
Transfer Learning for SSVEP-based BCI using Riemannian similarities between users
EK Kalunga, S Chevallier, Q Barthélemy
2018 26th European Signal Processing Conference (EUSIPCO), 1685-1689, 2018
Randomized controlled study evaluating efficiency of low intensity Transcranial Direct Current Stimulation (tDCS) for dyspnea relief in mechanically ventilated COVID-19 …
E Azabou, G Bao, N Heming, R Bounab, P Moine, S Chevallier, S Chevret, ...
Frontiers in Medicine, 372, 2020
Covert attention with a spiking neural network
S Chevallier, P Tarroux
Computer Vision Systems: 6th International Conference, ICVS 2008 Santorini …, 2008
pyriemann/pyriemann: v0. 3
A Barachant, Q Barthélemy, JR King, A Gramfort, S Chevallier, ...
Zenodo, Jul, 2022
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