Sylvain Chevallier

Orcid: 0000-0003-3027-8241

According to our database1, Sylvain Chevallier authored at least 50 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Online presence:

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Bibliography

2024
Use of cognitive load measurements to design a new architecture of intelligent learning systems.
Expert Syst. Appl., March, 2024

Physics-informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets.
CoRR, 2024

Geometric Neural Network based on Phase Space for BCI decoding.
CoRR, 2024

A Systematic Evaluation of Euclidean Alignment with Deep Learning for EEG Decoding.
CoRR, 2024

2023
Evaluating the structure of cognitive tasks with transfer learning.
CoRR, 2023

Novel SPD Matrix Representations Considering Cross-Frequency Coupling for EEG Classification Using Riemannian Geometry.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
Functional Connectivity Ensemble Method to Enhance BCI Performance (FUCONE).
IEEE Trans. Biomed. Eng., 2022

Riemannian geometry for combining functional connectivity metrics and covariance in BCI.
Softw. Impacts, 2022

End-to-end P300 BCI using Bayesian accumulation of Riemannian probabilities.
CoRR, 2022

Class-distinctiveness-based frequency band selection on the Riemannian manifold for oscillatory activity-based BCIs: preliminary results.
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.
Neuroinformatics, 2021

Clinical BCI Challenge-WCCI2020: RIGOLETTO - RIemannian GeOmetry LEarning, applicaTion To cOnnectivity.
CoRR, 2021


Minimizing Subject-dependent Calibration for BCI with Riemannian Transfer Learning.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

Subspace Oddity - Optimization on Product of Stiefel Manifolds for EEG Data.
Proceedings of the IEEE International Conference on Acoustics, 2021

Riemannian Geometry on Connectivity for Clinical BCI.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Semi-Supervised Optimal Transport Methods for Detecting Anomalies.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Geodesically-convex optimization for averaging partially observed covariance matrices.
Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019
Unsupervised Anomaly Detection Using Optimal Transport for Predictive Maintenance.
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.
, 2019

2018
Brain-Machine Interface for Mechanical Ventilation Using Respiratory-Related Evoked Potential.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Transfer Learning for SSVEP-based BCI Using Riemannian Similarities Between Users.
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.
Biomed. Signal Process. Control., 2017

Inductive Means and Sequences Applied to Online Classification of EEG.
Proceedings of the Geometric Science of Information - Third International Conference, 2017

2016
Online SSVEP-based BCI using Riemannian geometry.
Neurocomputing, 2016

Adaptive Visualisation System for Construction Building Information Models Using Saliency.
CoRR, 2016

Subject-Specific Channel Selection Using Time Information for Motor Imagery Brain-Computer Interfaces.
Cogn. Comput., 2016

2015
Online SSVEP-based BCI using Riemannian Geometry.
CoRR, 2015

From Euclidean to Riemannian Means: Information Geometry for SSVEP Classification.
Proceedings of the Geometric Science of Information - Second International Conference, 2015

2014
Artificial Neurogenesis: An Introduction and Selective Review.
Proceedings of the Growing Adaptive Machines, 2014

Influence of extracellular oscillations on neural communication: a computational perspective.
Frontiers Comput. Neurosci., 2014

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

Subspace metrics for multivariate dictionaries and application to EEG.
Proceedings of the IEEE International Conference on Acoustics, 2014

On the need for metrics in dictionary learning assessment.
Proceedings of the 22nd European Signal Processing Conference, 2014

Hybrid interface: Integrating BCI in multimodal human-machine interfaces.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2014

2013
Metrics for Multivariate Dictionaries
CoRR, 2013

SSVEP enhancement based on Canonical Correlation Analysis to improve BCI performances.
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.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

Fast calibration of hand movements-based interface for arm exoskeleton control.
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.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
An Introduction to Deep Learning.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

Emergence of temporal and spatial synchronous behaviors in a foraging swarm.
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.
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.
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).
PhD thesis, 2009

Difference of Gaussians Type Neural Image Filtering with Spiking Neurons.
Proceedings of the IJCCI 2009, 2009

2008
Covert Attention with a Spiking Neural Network.
Proceedings of the Computer Vision Systems, 6th International Conference, 2008

Visual focus with spiking neurons.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

2006
Saliency extraction with a distributed spiking neural network.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

2005
Distributed Processing for Modelling Real-Time Multimodal Perception in a Virtual Robot.
Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Networks, 2005


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