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Sylvain Chevallier
Professeur au LISN-CNRS, Université Paris-Saclay
100%
Libre accès
11
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, In press, 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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Class-distinctiveness-based frequency band selection on the Riemannian manifold for oscillatory activity-based BCIs: preliminary resultsEMBC 2022- 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, Jul 2022, Glasgow, United Kingdom. ⟨10.1109/EMBC48229.2022.9871820⟩
Communication dans un congrès
hal-03641137v2
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Subspace oddity - optimization on product of Stiefel manifolds for EEG dataICASSP, Jun 2021, Toronto, Canada
Communication dans un congrès
hal-03202357v2
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Ensemble learning based on functional connectivity and Riemannian geometry for robust workload estimationNeuroergonomics conference 2021, Sep 2021, Virtual event, Germany
Communication dans un congrès
hal-03359257v1
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Extending Riemannian Brain-Computer Interface to Functional Connectivity EstimatorsIROS 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
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Geodesically-convex optimization for averaging partially observed covariance matricesAsian Conference on Machine Learning (ACML), Nov 2020, Bangkok, Thailand. pp.417 - 432
Communication dans un congrès
hal-02984423v1
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Dimensionality Reduction and Frequency Bin Optimization To Improve a Riemannian-based Classification PipelineCORTICO 2023 - Journées COllectif pour la Recherche Transdisciplinaire sur les Interfaces Cerveau-Ordinateur, May 2023, Paris, France.
Poster de conférence
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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
Poster de conférence
hal-03931339v1
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Riemannian classification for SSVEP based BCI: offline versus online implementationsBrain–Computer Interfaces Handbook: Technological and Theoretical Advances, 2018
Chapitre d'ouvrage
hal-01710089v1
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Clinical BCI Challenge-WCCI2020: RIGOLETTO -- RIemannian GeOmetry LEarning, applicaTion To cOnnectivity[Technical Report] ARAMIS, LAMSADE, LISV. 2021
Rapport
hal-03139990v1
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