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Sylvain Chevallier

Professeur au LISN-CNRS, Université Paris-Saclay
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Libre accès
4
Documents
Affiliations actuelles
  • 1066529
  • 1061259
Identifiants chercheurs

Présentation

After a PhD on bio-inspired robotic vision at LIMSI CNRS, I was a post-doc fellow in the neurocybernetic team of ETIS. I embraced a more machine learning centric approach to analyse EEG for Brain-Computer Interface (BCI) during two post-doc, one at INRIA and one at Telecom ParisTech. I worked as assistant professor at LISV, Université de Versailles-St Quentin on BCI for rehabilitation robotics, using Riemannian geometry and time series analysis. I am now full professor in A&O team of LISN-CNRS, Université Paris-Saclay.

Publications

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Riemannian Geometry on Connectivity for Clinical BCI

 Camille Noûs , Marie-Constance Corsi , Sylvain Chevallier , Florian Yger
ICASSP 2021, Jun 2021, Toronto / Virtual, Canada. ⟨10.1109/ICASSP39728.2021.9414790⟩
Communication dans un congrès hal-03202349v1
Image document

Minimizing Subject-dependent Calibration for BCI with Riemannian Transfer Learning

 Salim Khazem , Sylvain Chevallier , Quentin Barthélemy , Karim Haroun , Camille Noûs
NER (Neural engineering), May 2021, Rome (virtual), Italy. pp.523-526, ⟨10.1109/NER49283.2021.9441279⟩
Communication dans un congrès hal-03202360v1
Image document

Extending Riemannian Brain-Computer Interface to Functional Connectivity Estimators

 Sylvain Chevallier , Marie-Constance Corsi , Florian Yger , Camille Noûs
IROS Workshop on Bringing geometric methods to robot learning, optimization and control, Oct 2020, Las Vegas, NV / Virtual, United States
Communication dans un congrès hal-03015390v1

Clinical BCI Challenge-WCCI2020: RIGOLETTO -- RIemannian GeOmetry LEarning, applicaTion To cOnnectivity

 Marie-Constance Corsi , Florian Yger , Sylvain Chevallier , Camille Noûs
[Technical Report] ARAMIS, LAMSADE, LISV. 2021
Rapport hal-03139990v1