Florian Yger

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	All	Since 2018
Citations	2678	2470
h-index	17	15
i10-index	26	23

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Alain RakotomamonjyCriteo AI Lab (on secondment from Université de Rouen)Verified email at insa-rouen.fr
Fabien LotteInria Centre at the University of Bordeaux / LaBRIVerified email at inria.fr
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoVerified email at k.u-tokyo.ac.jp
Marco CongedoCNRS (French National Centre for Scientific Research), Grenoble Alpes University, Grenoble INPVerified email at gipsa-lab.grenoble-inp.fr
Maxime BerarLITIS, université de RouenVerified email at univ-rouen.fr
Sylvain ChevallierLISN - Université Paris-Saclay, FranceVerified email at lisn.upsaclay.fr
Pinot RafaelÉcole Polytechnique Fédérale de Lausanne (EPFL)Verified email at epfl.ch
Cédric Gouy-PaillerCEAVerified email at cea.fr
Marie-Constance CorsiInria research scientist, Paris Brain InstituteVerified email at icm-institute.org
Rémi FlamaryCMAP, École Polytechnique, Institut Polytechnique de ParisVerified email at polytechnique.edu
Hisashi KashimaProfessor, Kyoto UniversityVerified email at i.kyoto-u.ac.jp
Ikko YamaneUniversité Paris Dauphine - PSL/RIKENVerified email at dauphine.psl.eu
Louise HespelUniversité de Rouen, PBSVerified email at univ-rouen.fr
Quentin BarthélemyML researcher, PhD @ FoxstreamVerified email at foxstream.fr
Florian SikoraLAMSADE, Université Paris-DauphineVerified email at dauphine.fr
Pietro GoriTélécom ParisVerified email at telecom-paris.fr
Isabelle BlochLTCI, Télécom ParisVerified email at telecom-paristech.fr
Benoit GaüzèreAssociate Professor at LITIS, INSA de Rouen NormandieVerified email at insa-rouen.fr
Sébastien BougleuxNormandie Univ, UNICAEN, GREYC CNRSVerified email at unicaen.fr
Fabrizio, De Vico FallaniINRIA Head of Research, Paris Brain Institute (ICM), ParisVerified email at inria.fr

Florian Yger

PSL-Université Paris-Dauphine, LAMSADE/MILES, PRAIRIE

Verified email at dauphine.fr - Homepage

Machine learning


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A Review of Classification Algorithms for EEG-based Brain-Computer Interfaces: A 10-year Update F Lotte, L Bougrain, A Cichocki, M Clerc, M Congedo, A Rakotomamonjy, ... Journal of Neural Engineering, 2018	1473	2018
Riemannian approaches in Brain-Computer Interfaces: a review F Yger, M Berar, F Lotte IEEE Transactions on Neural System and Rehabilitation Engineering, 2017	293	2017
Recognizing Art Style Automatically in painting with deep learning A Lecoutre, B Negrevergne, F Yger ACML, 2017	133	2017
A vascular endothelial growth factor-dependent sprouting angiogenesis assay based on an in vitro human blood vessel model for the study of anti-angiogenic drugs J Pauty, R Usuba, IG Cheng, L Hespel, H Takahashi, K Kato, ... EBioMedicine 27, 225-236, 2018	88	2018
Theoretical evidence for adversarial robustness through randomization R Pinot, L Meunier, A Araujo, H Kashima, F Yger, C Gouy-Pailler, J Atif Advances in Neural Information Processing Systems, 2019	67	2019
Geometry-aware principal component analysis for symmetric positive definite matrices I Horev, F Yger, M Sugiyama Machine Learning, 1-30, 2016	60	2016
Geometry-aware principal component analysis for symmetric positive definite matrices I Horev, F Yger, M Sugiyama ACML, 2015	60	2015
sw-SVM: sensor weighting support vector machines for EEG-based brain–computer interfaces N Jrad, M Congedo, R Phlypo, S Rousseau, R Flamary, F Yger, ... Journal of neural engineering 8 (5), 056004, 2011	55	2011
Averaging covariance matrices for EEG signal classification based on the CSP: an empirical study F Yger, F Lotte, M Sugiyama 2015 23rd European Signal Processing Conference (EUSIPCO), 2721-2725, 2015	53	2015
Adaptive canonical correlation analysis based on matrix manifolds F Yger, M Berar, G Gasso, A Rakotomamonjy ICML 2012, 2012	44	2012
Wavelet kernel learning F Yger, A Rakotomamonjy Pattern Recognition 44 (10-11), 2614-2629, 2011	40	2011
A review of kernels on covariance matrices for BCI applications F Yger 2013 IEEE International Workshop on Machine Learning for Signal Processing …, 2013	36	2013
Towards adaptive classification using Riemannian geometry approaches in brain-computer interfaces S Kumar, F Yger, F Lotte 2019 7th International Winter Conference on Brain-Computer Interface (BCI), 1-6, 2019	32	2019
Supervised logeuclidean metric learning for symmetric positive definite matrices F Yger, M Sugiyama arXiv preprint arXiv:1502.03505, 2015	28	2015
Importance-weighted covariance estimation for robust common spatial pattern A Balzi, F Yger, M Sugiyama Pattern Recognition Letters 68, 139-145, 2015	18	2015
Learning with infinitely many features A Rakotomamonjy, R Flamary, F Yger Machine Learning 91, 43-66, 2013	18	2013
Graph-based Clustering under Differential Privacy R Pinot, A Morvan, F Yger, C Gouy-Pailler, J Atif Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial …, 2018	17	2018
Uplift modeling from separate labels I Yamane, F Yger, J Atif, M Sugiyama Advances in Neural Information Processing Systems, 2018	17	2018
Riemannian Classification for SSVEP-Based BCI Offline versus Online Implementations S Chevallier, EK Kalunga, Q Barthélemy, F Yger Brain–Computer Interfaces Handbook, 26, 2018	17*	2018
Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario JJ Vie, F Yger, R Lahfa, B Clement, K Cocchi, T Chalumeau, H Kashima MANPU, 2017	16	2017

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