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Sylvain Chevallier
Full Professor at LISN-CNRS, Université Paris-Saclay
100%
Open access
9
Documents
Current affiliations
- 1066529
- 1061259
Researcher identifiers
sylvain-chevallier
- Arxiv : chevallier_s_1
- IdRef : 142286826
-
0000-0003-3027-8241
- Google Scholar : https://scholar.google.fr/citations?user=j5Tu_SQAAAAJ&hl=fr
Presentation
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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Functional connectivity ensemble method to enhance BCI performance (FUCONE)IEEE Transactions on Biomedical Engineering, In press, pp.1-1. ⟨10.1109/TBME.2022.3154885⟩
Journal articles
hal-03594331v1
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User-specific frequency band and time segment selection with high class distinctiveness for Riemannian BCIsCORTICO 2022 : Invasive and non invasive Brain-Computer Interfaces – A handshake over the cliff, Mar 2022, Autrans, France
Conference poster
hal-03931339v1
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Riemannian classification for SSVEP based BCI: offline versus online implementationsBrain–Computer Interfaces Handbook: Technological and Theoretical Advances, 2018
Book sections
hal-01710089v1
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Clinical BCI Challenge-WCCI2020: RIGOLETTO -- RIemannian GeOmetry LEarning, applicaTion To cOnnectivity[Technical Report] ARAMIS, LAMSADE, LISV. 2021
Reports
hal-03139990v1
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