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Sylvain Chevallier
Full Professor at LISN-CNRS, Université Paris-Saclay
86%
Open access
7
Documents
Current affiliations
- 1066529
- 1061259
Researcher identifiers
sylvain-chevallier
- Arxiv : chevallier_s_1
- IdRef : 142286826
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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
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Subject-specific time-frequency selection for multi-class motor imagery-based BCIs using few Laplacian EEG channelsBiomedical Signal Processing and Control, 2017, 38, pp.302-311. ⟨10.1016/j.bspc.2017.06.016⟩
Journal articles
hal-01712401v1
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Subject-Specific Channel Selection Using Time Information for Motor Imagery Brain–Computer InterfacesCognitive Computation, 2016, 8 (3), pp.505-518. ⟨10.1007/s12559-015-9379-z⟩
Journal articles
hal-01351620v1
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Time-frequency optimization for discrimination between imagination of right and left hand movements based on two bipolar electroencephalography channelsEURASIP Journal on Advances in Signal Processing, 2014, 2014 (1), pp.38. ⟨10.1186/1687-6180-2014-38⟩
Journal articles
hal-01351618v1
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Time-frequency Selection in Two Bipolar Channels for Improving the Classification of Motor Imagery EEGThe proceeding of 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'12), Aug 2012, San Diego, United States. pp.2744-2747
Conference papers
hal-00737280v1
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A Self-paced Hybrid BCI based on EEG and EOG3rd Workshop of Tools for Brain-computer Interaction (TOBI 2012), Mar 2012, Wuerzburg, Germany. pp.4.2
Conference papers
hal-00686104v1
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Automatic selection of the number of spatial filters for motor-imagery BCIThe proceeding of 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012), Apr 2012, Bruges, Belgium. pp.109-114
Conference papers
hal-00737242v1
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A self-paced hybrid BCI based on EEG and EOG3rd TOBI workshop - Bringinh BCIs to end-users: facing the challenge, Mar 2012, Wurzburg, Germany. pp.33-34
Conference papers
hal-00686648v1
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