Publications

Bioengineering

Adaptive Change-Point Detection for Studying Human Locomotion

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) - 2021

Bioengineering

Learning spatial filters from EEG signals with Graph Signal Processing methods

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) - 2021

Artificial Intelligence

Learning Laplacian Matrix from Graph Signals with Sparse Spectral Representation

In this paper, we consider the problem of learning a graph structure from multivariate signals, known as graph signals. Such signals are multivariate observations carrying measurements corresponding to the nodes of an unknown graph, which we desire…

Pierre Humbert, Batiste Le Bars, Laurent Oudre, Argyris Kalogeratos, Nicolas Vayatis

Journal of Machine Learning Research - 2021

Signal and Image processing

ADAPTIVE SUBSAMPLING OF MULTIDOMAIN SIGNALS WITH PRODUCT GRAPHS

In this paper, we propose an adaptive subsampling method for multidomain signals based on the constrained learning of a product graph. Given an input multidomain signal, we search for a product graph on which the signal is bandlimited, i.e. have…

Théo Gnassounou, Pierre Humbert, Laurent Oudre

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2021 - 2021

Machine Learning

Implicit consensus clustering from multiple graphs

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…

Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif

Data Mining and Knowledge Discovery - 2021

Signal and Image processing

Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections

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) - 2021

Applications

A review of center of pressure (COP) variables to quantify standing balance in elderly people: Algorithms and open-access code

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, Damien Ricard, Ikram Chairi, Ioannis Bargiotas, Alain Yelnik, Laurent Oudre, François Bertin-Hugault, Pierre-Paul Vidal, Julien Audiffren, Nicolas Vayatis, Stéphane Buffat

Physiological Reports - 2021

Psychiatrics and mental health

Conséquences développementales de la maltraitance infantile : de la résilience à la psychopathologie. Exemple du trouble de personnalité borderline à l'adolescence

Childhood maltreatment (CM) has many lasting consequences for the development of children and adolescents. The aim of this work was to study different hypotheses that may underlie these consequences ranging from resilience to psychopathology during…

Aveline Aouidad

Life Sciences

Late-onset and nonlate-onset schizophrenia: A comparison of clinical characteristics in a multicenter study

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

International Journal of Geriatric Psychiatry - 2021

Image Processing

A Review on Contrastive Learning Methods and Applications to Roof-Type Classification on Aerial Images

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 - 2021