Sylvain Chevallier

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 32

Top Venues

University of Paris-Sud, Orsay, France (PHD)

Education History

University of Paris-Sud, Orsay, France

PHD

Publications

Igor Carrara, Bruno Aristimunha, Marie-Constance Corsi, Raphael Y. de Camargo, Sylvain Chevallier, Théodore Papadopoulo
Geometric Neural Network based on Phase Space for BCI decoding. CoRR (2024)
Bruna Junqueira, Bruno Aristimunha, Sylvain Chevallier, Raphael Y. de Camargo
A Systematic Evaluation of Euclidean Alignment with Deep Learning for EEG Decoding. CoRR (2024)
Apolline Mellot, Antoine Collas, Sylvain Chevallier, Denis A. Engemann, Alexandre Gramfort
Physics-informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets. CoRR (2024)
Apolline Mellot, Antoine Collas, Sylvain Chevallier, Alexandre Gramfort, Denis A. Engemann
Geodesic Optimization for Predictive Shift Adaptation on EEG data. CoRR (2024)
Sylvain Chevallier, Igor Carrara, Bruno Aristimunha, Pierre Guetschel, Sara Sedlar, Bruna Lopes, Sebastien Velut, Salim Khazem, Thomas Moreau
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark. CoRR (2024)
Amin Zammouri, Abdelaziz Ait Moussa, Sylvain Chevallier
Use of cognitive load measurements to design a new architecture of intelligent learning systems. Expert Syst. Appl. 237 (Part A) (2024)
Manon Verbockhaven, Sylvain Chevallier, Guillaume Charpiat
Growing Tiny Networks: Spotting Expressivity Bottlenecks and Fixing Them Optimally. CoRR (2024)
Maria Sayu Yamamoto, Apolline Mellot, Sylvain Chevallier, Fabien Lotte
Novel SPD Matrix Representations Considering Cross-Frequency Coupling for EEG Classification Using Riemannian Geometry. EUSIPCO (2023)
Bruno Aristimunha, Raphael Y. de Camargo, Walter Hugo Lopez Pinaya, Sylvain Chevallier, Alexandre Gramfort, Cédric Rommel
Evaluating the structure of cognitive tasks with transfer learning. CoRR (2023)
Quentin Barthélemy, Sylvain Chevallier, Raphaëlle Bertrand-Lalo, Pierre Clisson
End-to-end P300 BCI using Bayesian accumulation of Riemannian probabilities. CoRR (2022)
Marie-Constance Corsi, Sylvain Chevallier, Fabrizio de Vico Fallani, Florian Yger
Functional Connectivity Ensemble Method to Enhance BCI Performance (FUCONE). IEEE Trans. Biomed. Eng. 69 (9) (2022)
Maria Sayu Yamamoto, Fabien Lotte, Florian Yger, Sylvain Chevallier
Class-distinctiveness-based frequency band selection on the Riemannian manifold for oscillatory activity-based BCIs: preliminary results. EMBC (2022)
Sylvain Chevallier, Marie-Constance Corsi, Florian Yger, Fabrizio de Vico Fallani
Riemannian geometry for combining functional connectivity metrics and covariance in BCI. Softw. Impacts 12 (2022)
Xiaoxi Wei, A. Aldo Faisal, Moritz Grosse-Wentrup, Alexandre Gramfort, Sylvain Chevallier, Vinay Jayaram, Camille Jeunet, Stylianos Bakas, Siegfried Ludwig, Konstantinos Barmpas, Mehdi Bahri, Yannis Panagakis, Nikolaos A. Laskaris, Dimitrios A. Adamos, Stefanos Zafeiriou, William C. Duong, Stephen M. Gordon, Vernon J. Lawhern, Maciej Sliwowski, Vincent Rouanne, Piotr Tempczyk
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. CoRR (2022)
Salim Khazem, Sylvain Chevallier, Quentin Barthélemy, Karim Haroun, Camille Noûs
Minimizing subject-dependent calibration for BCI with Riemannian transfer learning. CoRR (2021)
Marie-Constance Corsi, Florian Yger, Sylvain Chevallier, Camille Noûs
Riemannian Geometry on Connectivity for Clinical BCI. ICASSP (2021)
Xiaoxi Wei, A. Aldo Faisal, Moritz Grosse-Wentrup, Alexandre Gramfort, Sylvain Chevallier, Vinay Jayaram, Camille Jeunet, Stylianos Bakas, Siegfried Ludwig, Konstantinos Barmpas, Mehdi Bahri, Yannis Panagakis, Nikolaos A. Laskaris, Dimitrios A. Adamos, Stefanos Zafeiriou, William C. Duong, Stephen M. Gordon, Vernon J. Lawhern, Maciej Sliwowski, Vincent Rouanne, Piotr Tempczyk
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. NeurIPS (Competition and Demos) (2021)
Maria Sayu Yamamoto, Florian Yger, Sylvain Chevallier
Subspace Oddity - Optimization on Product of Stiefel Manifolds for EEG Data. ICASSP (2021)
Salim Khazem, Sylvain Chevallier, Quentin Barthélemy, Karim Haroun, Camille Noûs
Minimizing Subject-dependent Calibration for BCI with Riemannian Transfer Learning. NER (2021)
Marie-Constance Corsi, Florian Yger, Sylvain Chevallier, Camille Noûs
Clinical BCI Challenge-WCCI2020: RIGOLETTO - RIemannian GeOmetry LEarning, applicaTion To cOnnectivity. CoRR (2021)
Sylvain Chevallier, Emmanuel K. Kalunga, Quentin Barthelemy, Eric Monacelli
Review of Riemannian Distances and Divergences, Applied to SSVEP-based BCI. Neuroinformatics 19 (1) (2021)
Marie-Constance Corsi, Sylvain Chevallier, Fabrizio de Vico Fallani, Florian Yger
Functional connectivity ensemble method to enhance BCI performance (FUCONE). CoRR (2021)
Florian Yger, Sylvain Chevallier, Quentin Barthélemy, Suvrit Sra
Geodesically-convex optimization for averaging partially observed covariance matrices. ACML (2020)
Amina Alaoui-Belghiti, Sylvain Chevallier, Eric Monacelli, Guillaume Bao, Eric Azabou
Semi-Supervised Optimal Transport Methods for Detecting Anomalies. ICASSP (2020)
Amina Alaoui-Belghiti, Sylvain Chevallier, Eric Monacelli
Unsupervised Anomaly Detection Using Optimal Transport for Predictive Maintenance. ICANN (4) (2019)
Emmanuel K. Kalunga, Sylvain Chevallier, Quentin Barthelemy
Transfer Learning for SSVEP-based BCI Using Riemannian Similarities Between Users. EUSIPCO (2018)
Sylvain Chevallier, Guillaume Bao, Mayssa Hammami, Fabienne Marlats, Louis Mayaud, Djillali Annane, Frédéric Lofaso, Eric Azabou
Brain-Machine Interface for Mechanical Ventilation Using Respiratory-Related Evoked Potential. ICANN (3) (2018)
Estelle M. Massart, Sylvain Chevallier
Inductive Means and Sequences Applied to Online Classification of EEG. GSI (2017)
Yuan Yang, Sylvain Chevallier, Joe Wiart, Isabelle Bloch
Subject-specific time-frequency selection for multi-class motor imagery-based BCIs using few Laplacian EEG channels. Biomed. Signal Process. Control. 38 (2017)
Emmanuel K. Kalunga, Sylvain Chevallier, Quentin Barthelemy, Karim Djouani, Eric Monacelli, Yskandar Hamam
Online SSVEP-based BCI using Riemannian geometry. Neurocomputing 191 (2016)
Yuan Yang, Isabelle Bloch, Sylvain Chevallier, Joe Wiart
Subject-Specific Channel Selection Using Time Information for Motor Imagery Brain-Computer Interfaces. Cogn. Comput. 8 (3) (2016)
Hugo Martin, Sylvain Chevallier, Eric Monacelli
Adaptive Visualisation System for Construction Building Information Models Using Saliency. CoRR (2016)
Emmanuel K. Kalunga, Sylvain Chevallier, Quentin Barthelemy, Karim Djouani, Yskandar Hamam, Eric Monacelli
From Euclidean to Riemannian Means: Information Geometry for SSVEP Classification. GSI (2015)
Emmanuel K. Kalunga, Sylvain Chevallier, Karim Djouani, Eric Monacelli, Yskandar Hamam
Online SSVEP-based BCI using Riemannian Geometry. CoRR (2015)
Sylvain Chevallier, Quentin Barthelemy, Jamal Atif
On the need for metrics in dictionary learning assessment. EUSIPCO (2014)
Yuan Yang, Sylvain Chevallier, Joe Wiart, Isabelle Bloch
Time-frequency optimization for discrimination between imagination of right and left hand movements based on two bipolar electroencephalography channels. EURASIP J. Adv. Signal Process. 2014 (2014)
Zoran Tiganj, Sylvain Chevallier, Eric Monacelli
Influence of extracellular oscillations on neural communication: a computational perspective. Frontiers Comput. Neurosci. 8 (2014)
Emmanuel K. Kalunga, Sylvain Chevallier, Olivier Rabreau, Eric Monacelli
Hybrid interface: Integrating BCI in multimodal human-machine interfaces. AIM (2014)
Sylvain Chevallier, Quentin Barthelemy, Jamal Atif
Subspace metrics for multivariate dictionaries and application to EEG. ICASSP (2014)
Sylvain Chevallier, Quentin Barthelemy, Jamal Atif
Metrics for Multivariate Dictionaries CoRR (2013)
Emmanuel K. Kalunga, Karim Djouani, Yskandar Hamam, Sylvain Chevallier, Eric Monacelli
SSVEP enhancement based on Canonical Correlation Analysis to improve BCI performances. AFRICON (2013)
Hugo Martin, Sylvain Chevallier, Eric Monacelli
Fast calibration of hand movements-based interface for arm exoskeleton control. ESANN (2012)
Yuan Yang, Sylvain Chevallier, Joe Wiart, Isabelle Bloch
Time-frequency selection in two bipolar channels for improving the classification of motor imagery EEG. EMBC (2012)
Yuan Yang, Sylvain Chevallier, Joe Wiart, Isabelle Bloch
Automatic selection of the number of spatial filters for motor-imagery BCI. ESANN (2012)
Sylvain Chevallier, Nicolas Bredèche, Hélène Paugam-Moisy, Michèle Sebag
Emergence of temporal and spatial synchronous behaviors in a foraging swarm. ECAL (2011)
Ludovic Arnold, Sébastien Rebecchi, Sylvain Chevallier, Hélène Paugam-Moisy
An Introduction to Deep Learning. ESANN (2011)
Sylvain Chevallier, Nicolas Cuperlier, Philippe Gaussier
Efficient Neural Models for Visual Attention. ICCVG (1) (2010)
Sylvain Chevallier, Hélène Paugam-Moisy, Michèle Sebag
SpikeAnts, a spiking neuron network modelling the emergence of organization in a complex system. NIPS (2010)
Sylvain Chevallier, Sonia Dahdouh
Difference of Gaussians Type Neural Image Filtering with Spiking Neurons. IJCCI (2009)
Sylvain Chevallier, Philippe Tarroux
Covert Attention with a Spiking Neural Network. ICVS (2008)
Sylvain Chevallier, Philippe Tarroux
Visual focus with spiking neurons. ESANN (2008)
Sylvain Chevallier, Philippe Tarroux, Hélène Paugam-Moisy
Saliency extraction with a distributed spiking neural network. ESANN (2006)
Sylvain Chevallier, Hélène Paugam-Moisy, François Lemaître
Distributed Processing for Modelling Real-Time Multimodal Perception in a Virtual Robot. Parallel and Distributed Computing and Networks (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sylvain Chevallier