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Sylvain Chevallier
Professeur au LISN-CNRS, Université Paris-Saclay
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Libre accès
2
Documents
Affiliations actuelles
- 1066529
- 1061259
Identifiants chercheurs
- sylvain-chevallier
- Arxiv : chevallier_s_1
- IdRef : 142286826
- 0000-0003-3027-8241
- Google Scholar : https://scholar.google.fr/citations?user=j5Tu_SQAAAAJ&hl=fr
- ResearcherId : AAB-7621-2020
- ResearcherId : http://www.researcherid.com/rid/AAB-7621-2020
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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Functional connectivity ensemble method to enhance BCI performance (FUCONE)IEEE Transactions on Biomedical Engineering, inPress, pp.1-1. ⟨10.1109/TBME.2022.3154885⟩
Article dans une revue
hal-03594331v1
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Ensemble of Riemannian Classifiers for Multimodal Data: FUCONE Approach for M/EEG DataISBI 2023 - IEEE International Symposium on Biomedical Imaging, Apr 2023, Cartagena de Indias, Colombia
Communication dans un congrès
hal-04140126v1
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