Sylvain Chevallier
Title
Cited by
Cited by
Year
An introduction to deep learning
L Arnold, S Rebecchi, S Chevallier, H Paugam-Moisy
European Symposium on Artificial Neural Networks (ESANN), 2011
162*2011
Online SSVEP-based BCI using Riemannian Geometry
EK Kalunga, S Chevallier, K Djouani, E Monacelli, Y Hamam
Neurocomputing 191, 55-68, 2016
712016
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
432017
Subject-Specific Channel Selection Using Time Information for Motor Imagery Brain–Computer Interfaces
Y Yang, I Bloch, S Chevallier, J Wiart
Cognitive Computation 8 (3), 505-518, 2016
322016
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
292014
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
272013
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
222012
From Euclidean to Riemannian means: Information geometry for SSVEP classification
EK Kalunga, S Chevallier, Q Barthélemy, K Djouani, Y Hamam, ...
International Conference on Geometric Science of Information, 595-604, 2015
192015
Artificial Neurogenesis: An Introduction and Selective Review
T Kowaliw, N Bredeche, S Chevallier, R Doursat
Growing Adaptive Machines, 1-60, 2014
162014
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
162012
Data augmentation in riemannian space for brain-computer interfaces
E Kalunga, S Chevallier, Q Barthélemy
STAMLINS, 2015
142015
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
142014
Covert attention with a spiking neural network
S Chevallier, P Tarroux
International conference on computer vision systems, 56-65, 2008
132008
Visual focus with spiking neurons
S Chevallier, P Tarroux
European Symposium on Artificial Neural Networks, 385-389, 2008
112008
Saliency extraction with a distributed spiking neural network
S Chevallier, P Tarroux, H Paugam-Moisy
European Symposium on Artificial Neural Networks, 209-214, 2006
112006
Intelligentocular artifacts removal in a noninvasive singlechannel EEG recording
A Zammouri, A Aitmoussa, SI Chevallier, E Monacelli
2015 Intelligent Systems and Computer Vision (ISCV), 1-5, 2015
82015
Subspace metrics for multivariate dictionaries and application to EEG
S Chevallier, Q Barthélemy, J Atif
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International …, 2014
82014
Fast calibration of hand movement-based interface for arm exoskeleton control
H Martin, S Chevallier, E Monacelli
European Symposium on Artificial Neural Networks (ESANN), 573-578, 2012
82012
Distributed Processing for Modelling Real-Time Multimodal Perception in a Virtual Robot.
S Chevallier, H Paugam-Moisy, F Lemaître
Parallel and Distributed Computing and Networks, 393-398, 2005
82005
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
72021
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