- 3
- 2
- 1
- 1
Sylvain Chevallier
Full Professor at LISN-CNRS, Université Paris-Saclay
100%
Open access
7
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
- 2
- 2
- 2
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 7
- 4
- 2
- 2
- 2
- 2
- 2
- 1
- 1
- 7
- 1
- 1
- 1
- 1
- 2
- 2
|
Online SSVEP-based BCI using Riemannian geometryNeurocomputing, 2016, 191, pp.55-68. ⟨10.1016/j.neucom.2016.01.007⟩
Journal articles
hal-01351623v1
|
|
Ensemble learning based on functional connectivity and Riemannian geometry for robust workload estimationNeuroergonomics conference 2021, Sep 2021, Virtual event, Germany
Conference papers
hal-03359257v1
|
|
From Euclidean to Riemannian Means: Information Geometry for SSVEP ClassificationGeometric Science of Information, Oct 2015, Palaiseau, France. pp.595-604, ⟨10.1007/978-3-319-25040-3_64⟩
Conference papers
hal-01351753v1
|
|
On the need for metrics in dictionary learning assessment22nd European Signal Processing Conference (EUSIPCO) , Sep 2014, Lisbon, Portugal
Conference papers
hal-01352054v1
|
|
Subspace metrics for multivariate dictionaries and application to EEGIEEE International Conference on Acoustics, Speech and Signal Processing, May 2014, Florence, Italy. ⟨10.1109/ICASSP.2014.6854993⟩
Conference papers
hal-01352047v1
|
|
Riemannian classification for SSVEP based BCI: offline versus online implementationsBrain–Computer Interfaces Handbook: Technological and Theoretical Advances, 2018
Book sections
hal-01710089v1
|
|
Using Riemannian geometry for SSVEP-based Brain Computer Interface[Research Report] Université de Versailles Saint-Quentin; Mensia Technologies, SA. 2015
Reports
hal-01351685v1
|