Postural control is often quantified by recording the trajectory of the center of pressure (COP)-also called stabilogram-during human quiet standing. This quantification has many important applications, such as the early detection of balance…
Flavien Quijoux, Alice Nicolaï, Ikram Chairi, Ioannis Bargiotas, Damien Ricard, Alain Yelnik, Laurent Oudre, François Bertin-Hugault, Pierre-Paul Vidal, Nicolas Vayatis, Stéphane Buffat, Julien Audiffren
Dealing with relational learning generally relies on tools modeling relational data. An undirected graph can represent these data with vertices depicting entities and edges describing the relationships between the entities. These relationships can…
In this paper, we propose an extension of the standard CDL problem with tensor representation, where each activation is constrained to be "low-rank" through a Canonical Polyadic decomposition. We show that this important additional constraint…
Pierre Humbert, Laurent Oudre, Nicolas Vayatis, Julien Audiffren
The Sliced-Wasserstein distance (SW) is being increasingly used in machine learning applications as an alternative to the Wasserstein distance and offers significant computational and statistical benefits. Since it is defined as an expectation over…
Kimia Nadjahi, Alain Durmus, Pierre E. Jacob, Roland Badeau, Umut Şimşekli
35th Conference on Neural Information Processing Systems (NeurIPS 2021) -
This paper presents an innovative method to analyze inertial signals recorded in a semi-controlled environment. It uses an adaptive and supervised change point detection procedure to decompose the signals into homogeneous segments, allowing a…
Sylvain Jung, Laurent Oudre, Charles Truong, Eric Dorveaux, Louis Gorintin, Nicolas Vayatis, Damien Ricard
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) -
In this paper, we propose to learn a spatial filter directly from Electroencephalography (EEG) signals using graph signal processing tools. We combine a graph learning algorithm with a high-pass graph filter to remove spatially large signals from…
Pierre Humbert, Laurent Oudre, Clément Dubost
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) -
La maltraitance infantile (MI) a des conséquences nombreuses et durables sur le développement des enfants et des adolescents allant de la résilience à la psychopathologie. L'objectif de cette thèse est d'étudier différentes hypothèses pouvant sous…
Objectives Data are scarce regarding the potential clinical differences between non-late onset schizophrenia (NLOS, i.e., disorder occurring before 40 years of age), late-onset schizophrenia (LOS, occurring between ages 40 and 60 years) and very…
C. Passerieux, J. Pellerin, J. Perlbarg, S. Perron, A. Petit, F. Petitjean, C. Portefaix, D. Pringuey, A. Radtchenko, H. Rahiou, D. Raucher-Chene, A. Rauzy, L. Reinheimer, M. Renard, M. Rene, C. E. Rengade, P. Reynaud, D. Robin, C. Rodrigues, A. Rollet, F. Rondepierre, B. Rousselot, S. Rubingher, G. Saba, J. P. Salvarelli, J. C. Samuelian, C. Scemama-Ammar, F. Schurhoff, J. P. Schuster, D. Sechter, B. Segalas, T. Seguret, A. S. Seigneurie, A. Semmak, F. Slama, S. Taisne, M. Taleb, J. L. Terra, D. Thefenne, E. Tran, R. Tourtauchaux, M. N. Vacheron, V. Vanhoucke, E. Venet, H. Verdoux, A. Viala, G. Vidon, M. Vitre, J. L. Vurpas, C. Wagermez, M. Walter, X. Zendjidjian, Sandra Abou Kassm, Frederic Limosin, Wadih Naja, Pierre Vandel, Marina Sanchez-Rico, Jesus M. Alvarado, Armin Von Gunten, Nicolas Hoertel, J. Ades, C. Alezrah, I Amado, G. Amar, O. Andrei, D. Arbault, G. Archambault, G. Aurifeuille, S. Barriere, C. Bera-Potelle, Y. Blumenstock, H. Bardou, M. Bareil-Guerin, P. Barrau, C. Barrouillet, E. Baup, N. Bazin, B. Beaufils, J. Ben Ayed, M. Benoit, K. Benyacoub, T. Bichet, F. Blanadet, O. Blanc, J. Blanc-Comiti, D. Boussiron, A. M. Bouysse, A. Brochard, O. Brochart, B. Bucheron, M. Cabot, V Camus, J. M. Chabannes, V Charlot, T. Charpeaud, C. Clad-Mor, C. Combes, M. Comisu, B. Cordier, F. Costi, J. P. Courcelles, M. Creixell, H. Cuche, C. Cuervo-Lombard, A. Dammak, D. da Rin, J. B. Denis, H. Denizot, A. Deperthuis, E. Diers, S. Dirami, D. Donneau, P. Dreano, C. Dubertret, E. Duprat, D. Duthoit, C. Fernandez, P. Fonfrede, N. Freitas, P. Gasnier, J. Gauillard, F. Getten, Fabien Gierski, F. Godart, R. Gourevitch, Grassin A. Delyle, J. Gremion, H. Gres, V Griner, C. Guerin-Langlois, C. Guggiari, O. Guillin, H. Hadaoui, E. Haffen, S. Haouzir, C. Hanon, C. Hazif-Thomas, A. Heron, B. Hubsch, I Jalenques, D. Januel, A. Kaladjian, J. F. Karnycheff, O. Kebir, M. O. Krebs, C. Lajugie, M. Leboyer, P. Legrand, M. Lejoyeux, V Lemaire, E. Leroy, D. Levy-Chavagnat, A. Leydier, C. Liling, P. M. Llorca, P. Loeffel, P. Louville, Lucas S. Navarro, N. Mages, M. Mahi, O. Maillet, A. Manetti, C. Martelli, P. Martin, M. Masson, I Maurs-Ferrer, J. Mauvieux, S. Mazmanian, E. Mechin, L. Mekaoui, M. Meniai, A. Metton, A. Mihoubi, M. Miron, G. Mora, Niro Ades, P. Nubukpo, C. Omnes, S. Papin, P. Paris
Autrefois considérées comme des preuves fiables, les images photographiques ne dépeignent plus toujours la pure vérité. Avec l'avènement de la photographie numérique et les progrès des outils de retouche photo, il n'a jamais été aussi facile de…
Unsupervised learning based on Contrastive Learning (CL) has attracted a lot of interest recently. This is due to excellent results on a variety of subsequent tasks (especially classification) on benchmark datasets (ImageNet, CIFAR-10, etc.) without…
Ahmed Ben Saad, Sebastien Drouyer, Bastien Hell, Sylvain Gavoille, Stéphane Gaiffas, Gabriele Facciolo
IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium -