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Sylvain Chevallier
Professeur au LISN-CNRS, Université Paris-Saclay
100%
Libre accès
12
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.
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Measuring Neuronal Avalanches to inform Brain-Computer InterfacesiScience, 2023, 27 (1), pp.108734. ⟨10.1016/j.isci.2023.108734⟩
Article dans une revue
hal-04345847v2
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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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Riemannian geometry for combining functional connectivity metrics and covariance in BCISoftware Impacts, 2022, 12, pp.100254. ⟨10.1016/j.simpa.2022.100254⟩
Article dans une revue
hal-03772666v1
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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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Riemannian Geometry on Connectivity for Clinical BCIICASSP 2021, Jun 2021, Toronto / Virtual, Canada. ⟨10.1109/ICASSP39728.2021.9414790⟩
Communication dans un congrès
hal-03202349v1
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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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Augmented SPDNet: Second-Order Neural Network for Motor Imagery-Based BCISoph.IA summit 2023, Nov 2023, Sophia Antipolis, France
Poster de conférence
hal-04308549v1
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Holographic EEG: multi-view deep learning for BCIJournée CORTICO 2023 - COllectif pour la Recherche Transdisciplinaire sur les Interfaces Cerveau-Ordinateur, May 2023, Paris, France.
Poster de conférence
hal-04095900v1
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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
hal-04140107v1
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Geometric Neural Network based on Phase Space for BCI decoding2024
Pré-publication, Document de travail
hal-04500580v1
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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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