Sylvain Chevallier

According to our database, Sylvain Chevallier authored at least 56 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Use of cognitive load measurements to design a new architecture of intelligent learning systems.

Amin Zammouri, Abdelaziz Aït Moussa, Sylvain Chevallier

Expert Syst. Appl., March, 2024

Geodesic Optimization for Predictive Shift Adaptation on EEG data.

Apolline Mellot, Antoine Collas, Sylvain Chevallier, Alexandre Gramfort, Denis A. Engemann

CoRR, 2024

Growing Tiny Networks: Spotting Expressivity Bottlenecks and Fixing Them Optimally.

Manon Verbockhaven, Sylvain Chevallier, Guillaume Charpiat

CoRR, 2024

The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark.

Sylvain Chevallier, Igor Carrara, Bruno Aristimunha, Pierre Guetschel, Sara Sedlar, Bruna Lopes, Sebastien Velut, Salim Khazem, Thomas Moreau

CoRR, 2024

Geometric Neural Network based on Phase Space for BCI decoding.

Igor Carrara, Bruno Aristimunha, Marie-Constance Corsi, Raphael Y. de Camargo, Sylvain Chevallier, Théodore Papadopoulo

CoRR, 2024

A Systematic Evaluation of Euclidean Alignment with Deep Learning for EEG Decoding.

Bruna Junqueira, Bruno Aristimunha, Sylvain Chevallier, Raphael Y. de Camargo

CoRR, 2024

Averaging Trajectories on the Manifold of Symmetric Positive Definite Matrices.

Thibault de Surrel, Florian Yger, Sylvain Chevallier, Fabien Lotte

Proceedings of the 32nd European Signal Processing Conference, 2024

Combining Euclidean Alignment and Data Augmentation for BCI decoding.

Gustavo H. Rodrigues, Bruno Aristimunha, Sylvain Chevallier, Raphael Y. de Camargo

Proceedings of the 32nd European Signal Processing Conference, 2024

Physics-Informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets.

Apolline Mellot, Antoine Collas, Sylvain Chevallier, Denis A. Engemann, Alexandre Gramfort

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Evaluating the structure of cognitive tasks with transfer learning.

Bruno Aristimunha, Raphael Y. de Camargo, Walter Hugo Lopez Pinaya, Sylvain Chevallier, Alexandre Gramfort, Cédric Rommel

CoRR, 2023

Novel SPD Matrix Representations Considering Cross-Frequency Coupling for EEG Classification Using Riemannian Geometry.

Maria Sayu Yamamoto, Apolline Mellot, Sylvain Chevallier, Fabien Lotte

Proceedings of the 31st European Signal Processing Conference, 2023

2022

pyRiemann/pyRiemann: v0.3.

Alexandre Barachant, Quentin Barthélemy, Jean-Rémi King, Alexandre Gramfort, Sylvain Chevallier, Pedro L. C. Rodrigues, Emanuele Olivetti, Vladislav Goncharenko, Gabriel Wagner vom Berg, Ghiles Reguig, Arthur Lebeurrier, Erik Bjäreholt, Maria Sayu Yamamoto, Pierre Clisson, Marie-Constance Corsi

Dataset, July, 2022

Functional Connectivity Ensemble Method to Enhance BCI Performance (FUCONE).

Marie-Constance Corsi, Sylvain Chevallier, Fabrizio de Vico Fallani, Florian Yger

IEEE Trans. Biomed. Eng., 2022

Riemannian geometry for combining functional connectivity metrics and covariance in BCI.

Sylvain Chevallier, Marie-Constance Corsi, Florian Yger, Fabrizio de Vico Fallani

Softw. Impacts, 2022

End-to-end P300 BCI using Bayesian accumulation of Riemannian probabilities.

Quentin Barthélemy, Sylvain Chevallier, Raphaëlle Bertrand-Lalo, Pierre Clisson

CoRR, 2022

Class-distinctiveness-based frequency band selection on the Riemannian manifold for oscillatory activity-based BCIs: preliminary results.

Maria Sayu Yamamoto, Fabien Lotte, Florian Yger, Sylvain Chevallier

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Review of Riemannian Distances and Divergences, Applied to SSVEP-based BCI.

Sylvain Chevallier, Emmanuel K. Kalunga, Quentin Barthélemy, Éric Monacelli

Neuroinformatics, 2021

Clinical BCI Challenge-WCCI2020: RIGOLETTO - RIemannian GeOmetry LEarning, applicaTion To cOnnectivity.

Marie-Constance Corsi, Florian Yger, Sylvain Chevallier, Camille Noûs

CoRR, 2021

2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets.

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

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Minimizing Subject-dependent Calibration for BCI with Riemannian Transfer Learning.

Salim Khazem, Sylvain Chevallier, Quentin Barthélemy, Karim Haroun, Camille Noûs

Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

Subspace Oddity - Optimization on Product of Stiefel Manifolds for EEG Data.

Maria Sayu Yamamoto, Florian Yger, Sylvain Chevallier

Proceedings of the IEEE International Conference on Acoustics, 2021

Riemannian Geometry on Connectivity for Clinical BCI.

Marie-Constance Corsi, Florian Yger, Sylvain Chevallier, Camille Noûs

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Semi-Supervised Optimal Transport Methods for Detecting Anomalies.

Amina Alaoui-Belghiti, Sylvain Chevallier, Éric Monacelli, Guillaume Bao, Eric Azabou

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Geodesically-convex optimization for averaging partially observed covariance matrices.

Florian Yger, Sylvain Chevallier, Quentin Barthélemy, Suvrit Sra

Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019

Unsupervised Anomaly Detection Using Optimal Transport for Predictive Maintenance.

Amina Alaoui-Belghiti, Sylvain Chevallier, Éric Monacelli

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

Des signaux cérébraux aux activités cognitives, approches géométriques et apprentissage statistique.

Sylvain Chevallier

, 2019

2018

Brain-Machine Interface for Mechanical Ventilation Using Respiratory-Related Evoked Potential.

Sylvain Chevallier, Guillaume Bao, Mayssa Hammami, Fabienne Marlats, Louis Mayaud, Djillali Annane, Frédéric Lofaso, Eric Azabou

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Transfer Learning for SSVEP-based BCI Using Riemannian Similarities Between Users.

Emmanuel K. Kalunga, Sylvain Chevallier, Quentin Barthélemy

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Subject-specific time-frequency selection for multi-class motor imagery-based BCIs using few Laplacian EEG channels.

Yuan Yang, Sylvain Chevallier, Joe Wiart, Isabelle Bloch

Biomed. Signal Process. Control., 2017

Inductive Means and Sequences Applied to Online Classification of EEG.

Estelle M. Massart, Sylvain Chevallier

Proceedings of the Geometric Science of Information - Third International Conference, 2017

2016

Online SSVEP-based BCI using Riemannian geometry.

Emmanuel K. Kalunga, Sylvain Chevallier, Quentin Barthélemy, Karim Djouani, Éric Monacelli, Yskandar Hamam

Neurocomputing, 2016

Adaptive Visualisation System for Construction Building Information Models Using Saliency.

Hugo Martin, Sylvain Chevallier, Éric Monacelli

CoRR, 2016

Subject-Specific Channel Selection Using Time Information for Motor Imagery Brain-Computer Interfaces.

Yuan Yang, Isabelle Bloch, Sylvain Chevallier, Joe Wiart

Cogn. Comput., 2016

2015

Online SSVEP-based BCI using Riemannian Geometry.

Emmanuel K. Kalunga, Sylvain Chevallier, Karim Djouani, Éric Monacelli, Yskandar Hamam

CoRR, 2015

From Euclidean to Riemannian Means: Information Geometry for SSVEP Classification.

Emmanuel K. Kalunga, Sylvain Chevallier, Quentin Barthélemy, Karim Djouani, Yskandar Hamam, Éric Monacelli

Proceedings of the Geometric Science of Information - Second International Conference, 2015

2014

Artificial Neurogenesis: An Introduction and Selective Review.

Taras Kowaliw, Nicolas Bredèche, Sylvain Chevallier, René Doursat

Proceedings of the Growing Adaptive Machines, 2014

Influence of extracellular oscillations on neural communication: a computational perspective.

Zoran Tiganj, Sylvain Chevallier, Éric Monacelli

Frontiers Comput. Neurosci., 2014

Time-frequency optimization for discrimination between imagination of right and left hand movements based on two bipolar electroencephalography channels.

Yuan Yang, Sylvain Chevallier, Joe Wiart, Isabelle Bloch

EURASIP J. Adv. Signal Process., 2014

Subspace metrics for multivariate dictionaries and application to EEG.

Sylvain Chevallier, Quentin Barthélemy, Jamal Atif

Proceedings of the IEEE International Conference on Acoustics, 2014

On the need for metrics in dictionary learning assessment.

Sylvain Chevallier, Quentin Barthélemy, Jamal Atif

Proceedings of the 22nd European Signal Processing Conference, 2014

Hybrid interface: Integrating BCI in multimodal human-machine interfaces.

Emmanuel K. Kalunga, Sylvain Chevallier, Olivier Rabreau, Éric Monacelli

Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2014

2013

Metrics for Multivariate Dictionaries

Sylvain Chevallier, Quentin Barthélemy, Jamal Atif

CoRR, 2013

SSVEP enhancement based on Canonical Correlation Analysis to improve BCI performances.

Emmanuel K. Kalunga, Karim Djouani, Yskandar Hamam, Sylvain Chevallier, Éric Monacelli

Proceedings of the AFRICON 2013, Pointe aux Piments, Mauritius, September 9-12, 2013, 2013

2012

Automatic selection of the number of spatial filters for motor-imagery BCI.

Yuan Yang, Sylvain Chevallier, Joe Wiart, Isabelle Bloch

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

Fast calibration of hand movements-based interface for arm exoskeleton control.

Hugo Martin, Sylvain Chevallier, Éric Monacelli

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

Time-frequency selection in two bipolar channels for improving the classification of motor imagery EEG.

Yuan Yang, Sylvain Chevallier, Joe Wiart, Isabelle Bloch

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

An Introduction to Deep Learning.

Ludovic Arnold, Sébastien Rebecchi, Sylvain Chevallier, Hélène Paugam-Moisy

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

Emergence of temporal and spatial synchronous behaviors in a foraging swarm.

Sylvain Chevallier, Nicolas Bredèche, Hélène Paugam-Moisy, Michèle Sebag

Proceedings of the Advances in Artificial Life: 20th Anniversary Edition, 2011

2010

SpikeAnts, a spiking neuron network modelling the emergence of organization in a complex system.

Sylvain Chevallier, Hélène Paugam-Moisy, Michèle Sebag

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Efficient Neural Models for Visual Attention.

Sylvain Chevallier, Nicolas Cuperlier, Philippe Gaussier

Proceedings of the Computer Vision and Graphics - International Conference, 2010

2009

Implémentation d'un système préattentionnel avec des neurones impulsionnels. (Implementation of a preattentional system with spiking neurons).

Sylvain Chevallier

PhD thesis, 2009

Difference of Gaussians Type Neural Image Filtering with Spiking Neurons.

Sylvain Chevallier, Sonia Dahdouh

Proceedings of the IJCCI 2009, 2009

2008

Covert Attention with a Spiking Neural Network.

Sylvain Chevallier, Philippe Tarroux

Proceedings of the Computer Vision Systems, 6th International Conference, 2008

Visual focus with spiking neurons.

Sylvain Chevallier, Philippe Tarroux

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

2006

Saliency extraction with a distributed spiking neural network.

Sylvain Chevallier, Philippe Tarroux, Hélène Paugam-Moisy

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

2005

Distributed Processing for Modelling Real-Time Multimodal Perception in a Virtual Robot.

Sylvain Chevallier, Hélène Paugam-Moisy, François Lemaître

Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Networks, 2005