Quentin Barthélemy

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Sylvain ChevallierLISN - Université Paris-Saclay, FranceVerified email at lisn.upsaclay.fr
Louis MAYAUDMensia TechnologiesVerified email at mensiatech.com
Jerome MARSProfessor, Grenoble INP, University Grenoble Alpes, CNRSVerified email at gipsa-lab.grenoble-inp.fr
Emmanuel K. KalungaUniversité de Versailles Saint-QuentinVerified email at ens.uvsq.fr
Marco CongedoCNRS (French National Centre for Scientific Research), Grenoble Alpes University, Grenoble INPVerified email at gipsa-lab.grenoble-inp.fr
David OjedaAppleVerified email at apple.com
Pedro L. RodriguesPhD Student, University of Minho, Algoritmi and ICVS centersVerified email at ecsaude.uminho.pt
Cédric Gouy-PaillerCEAVerified email at cea.fr
Aurelien Mayoueresearch engineerVerified email at cea.fr
Yoann IsaacVidalVerified email at cea.fr
Aurore Bussalb, PhDBrain and Spine InstituteVerified email at icm-institute.org
Karim DjouaniFull Professor, University Paris Est Creteil (UPEC)Verified email at u-pec.fr
Yskandar HamamProfessor, Department of Electrical Eng'g, Tshwane University of Technology, Pretoria, RSAVerified email at hamam.ws
Gabriel Wagner vom BergNeurotechnology Group, TU BerlinVerified email at tu-berlin.de
Laure Tougne RodetFull Professor, Université Lumière-Lyon 2 (France)Verified email at univ-lyon2.fr
Carlos Crispim-JuniorAssociate Professor @ Université Lumière Lyon 2 - LIRIS UMR CNRS 5205Verified email at liris.cnrs.fr
Marie-Constance CorsiInria research scientist, Paris Brain InstituteVerified email at icm-institute.org
Arnaud DupeyronEuromov DHM, Univ. Montpellier, Montpellier, FranceVerified email at umontpellier.fr
Arthur LebeurrierENS de LyonVerified email at ens-lyon.fr
Grégoire CATTANPh. D., Eng.Verified email at ibm.com

Quentin Barthélemy

ML researcher, PhD @ Foxstream

Verified email at foxstream.fr - Homepage

Signal and image processing Video understanding Machine learning Deep learning Statistics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Online SSVEP-based BCI using Riemannian geometry EK Kalunga, S Chevallier, Q Barthélemy, K Djouani, E Monacelli, ... Neurocomputing 191, 55-68, 2016	124	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	86	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	75	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	52	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	48	2020
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	42	2019
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	40	2015
About QLMS derivations Q Barthélemy, A Larue, J Mars IEEE Signal Processing Letters 21 (2), 240-243, 2014	34	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	32	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	29	2017
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	28	2015
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	27	2019
Mother of all BCI Benchmarks B Aristimunha, I Carrara, P Guetschel, S Sedlar, P Rodrigues, J Sosulski, ... Zenodo, Oct 23, 2023	24*	2023
pyRiemann A Barachant, Q Barthélemy, JR King, A Gramfort, S Chevallier, ...	21*	2023
Perimeter intrusion detection by video surveillance: A survey D Lohani, C Crispim-Junior, Q Barthélemy, S Bertrand, L Robinault, ... Sensors 22 (9), 3601, 2022	21	2022
pyRiemann/pyRiemann: v0.3 A Barachant, Q Barthélemy, JR King, A Gramfort, S Chevallier, ... Zenodo, Jul, 2022	21*	2022
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	20	2015
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	18	2018
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	14	2018
Decomposition and dictionary learning for 3D trajectories Q Barthélemy, A Larue, JI Mars Signal Processing 98, 423-437, 2014	14	2014

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