Quentin Barthélemy
Quentin Barthélemy
ML researcher, PhD @ Foxstream
Verified email at - Homepage
Cited by
Cited by
Online SSVEP-based BCI using Riemannian geometry
EK Kalunga, S Chevallier, Q Barthélemy, K Djouani, E Monacelli, ...
Neurocomputing 191, 55-68, 2016
Clinical and experimental factors influencing the efficacy of neurofeedback in ADHD: a meta-analysis
A Bussalb, M Congedo, Q Barthélemy, D Ojeda, E Acquaviva, R Delorme, ...
Frontiers in Psychiatry 10, 35, 2019
Shift & 2D rotation invariant sparse coding for multivariate signals
Q Barthélemy, A Larue, A Mayoue, D Mercier, JI Mars
IEEE Transactions on Signal Processing 60 (4), 1597-1611, 2012
Multivariate temporal dictionary learning for EEG
Q Barthélemy, C Gouy-Pailler, Y Isaac, A Souloumiac, A Larue, JI Mars
Journal of Neuroscience Methods 215 (1), 19-28, 2013
Review of Riemannian distances and divergences, applied to SSVEP-based BCI
S Chevallier, EK Kalunga, Q Barthélemy, E Monacelli
Neuroinformatics 19, 93-106, 2020
Color Sparse Representations for Image Processing: Review, Models and Prospects
Q Barthélemy, A Larue, JI Mars
IEEE Transactions on Image Processing 24 (11), 3978 - 3989, 2015
The Riemannian Potato Field: a tool for online Signal Quality Index of EEG
Q Barthélemy, L Mayaud, D Ojeda, M Congedo
IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (2 …, 2019
About QLMS derivations
Q Barthélemy, A Larue, J Mars
IEEE Signal Processing Letters 21 (2), 240-243, 2014
Alpha-phase synchrony EEG training for multi-resistant chronic low back pain patients: an open-label pilot study
L Mayaud, H Wu, Q Barthélemy, P Favennec, Y Delpierre, M Congedo, ...
European Spine Journal 28, 2487-2501, 2019
Online denoising of eye-blinks in electroencephalography
Q Barthélemy, L Mayaud, Y Renard, D Kim, SW Kang, J Gunkelman, ...
Clinical Neurophysiology 47, 371-391, 2017
Is there a cluster of high theta-beta ratio patients in attention deficit hyperactivity disorder?
A Bussalb, S Collin, Q Barthélemy, D Ojeda, S Bioulac, ...
Clinical Neurophysiology 130 (8), 1387-1396, 2019
From Euclidean to Riemannian means: Information geometry for SSVEP classification
EK Kalunga, S Chevallier, Q Barthélemy, K Djouani, Y Hamam, ...
International Conference on Geometric Science of Information (GSI), 595-604, 2015
Data augmentation in Riemannian space for brain-computer interfaces
E Kalunga, S Chevallier, Q Barthélemy
ICML Workshop on Statistics, Machine Learning and Neuroscience (Stamlins 2015), 2015
Perimeter intrusion detection by video surveillance: A survey
D Lohani, C Crispim-Junior, Q Barthélemy, S Bertrand, L Robinault, ...
Sensors 22 (9), 3601, 2022
Transfer learning for SSVEP-based BCI using Riemannian similarities between users
EK Kalunga, S Chevallier, Q Barthélemy
European Signal Processing Conference (EUSIPCO), 1685-1689, 2018
Decomposition and dictionary learning for 3D trajectories
Q Barthélemy, A Larue, JI Mars
Signal Processing 98, 423-437, 2014
A Barachant, Q Barthélemy, JR King, A Gramfort, S Chevallier, ...
Zenodo, Jul, 2022
Minimizing Subject-dependent Calibration for BCI with Riemannian Transfer Learning
S Khazem, S Chevallier, Q Barthélemy, K Haroun, C Noûs
IEEE EMBS Conference on Neural Engineering (NER'21), 2021
Riemannian classification for SSVEP based BCI: offline versus online implementations
S Chevallier, E Kalunga, Q Barthélemy, F Yger
Brain-Computer Interfaces Handbook–Technological and Theoretical Advances …, 2018
Preprocessing for classification of sparse data: Application to trajectory recognition
A Mayoue, Q Barthélemy, S Onis, A Larue
IEEE Statistical Signal Processing Workshop (SSP), 2012, 37-40, 2012
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