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Sylvain Chevallier

Professeur au LISN-CNRS, Université Paris-Saclay
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Libre accès
7
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

774715
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Ensemble learning based on functional connectivity and Riemannian geometry for robust workload estimation

Marie-Constance Corsi , Sylvain Chevallier , Quentin Barthélemy , Isabelle Hoxha , Florian Yger
Neuroergonomics conference 2021, Sep 2021, Virtual event, Germany
Communication dans un congrès hal-03359257v1
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From Euclidean to Riemannian Means: Information Geometry for SSVEP Classification

Emmanuel Kalunga , Sylvain Chevallier , Quentin Barthélemy , Karim Djouani , Yskandar Hamam
Geometric Science of Information, Oct 2015, Palaiseau, France. pp.595-604, ⟨10.1007/978-3-319-25040-3_64⟩
Communication dans un congrès hal-01351753v1
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On the need for metrics in dictionary learning assessment

Sylvain Chevallier , Quentin Barthélemy , Jamal Atif
22nd European Signal Processing Conference (EUSIPCO) , Sep 2014, Lisbon, Portugal
Communication dans un congrès hal-01352054v1
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Subspace metrics for multivariate dictionaries and application to EEG

Sylvain Chevallier , Quentin Barthélemy , Jamal Atif
IEEE International Conference on Acoustics, Speech and Signal Processing, May 2014, Florence, Italy. ⟨10.1109/ICASSP.2014.6854993⟩
Communication dans un congrès hal-01352047v1
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Using Riemannian geometry for SSVEP-based Brain Computer Interface

Emmanuel Kalunga , Sylvain Chevallier , Quentin Barthélemy
[Research Report] Université de Versailles Saint-Quentin; Mensia Technologies, SA. 2015
Rapport hal-01351685v1