Publications

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

Numerical Analysis

Détection de falsification d’images via l’analyse du démosaïquage : dévoilement d’une signature

Once considered reliable evidence, photographic images can no longer be assumed to depict the naked truth. With the advent of digital photography and the progress of photo editing tools, altering a picture has never been easier. While most of these…

Quentin Bammey

Engineering Sciences

CAD Model Segmentation Via Deep Learning

Computer aided design (CAD) models are widely employed in the current computer aided engineering or finite element analysis (FEA) systems that necessitate an optimal meshing as a function of their geometry. To this effect, the sub-mapping method is…

Antoine Van Biesbroeck, David Bassir, Feifei Shang

International Journal of Computational Methods - 2021

Statistics

Apport du Transfer Learning pour la segmentation automatique de lésions cérébrales radio-induites chez des patients atteints de glioblastome à partir d’un nombre restreint d’IRMs annotées

Ces travaux sont issus du projet de recherche RAAI (Radiotherapy Assisted by AI, MIAI@Grenoble Alpes) dont l’objectif était de proposer un algorithme d’apprentissage automatique pour la segmentation d’hyper-intensités de la substance blanche à…

Thomas Coudert, Sophie Ancelet, Nadya Pyatigorskaya, Lucia Nichelli, Damien Ricard, Dimitri Psimaras, Marie Odile Bernier, Michel Dojat, Florence Forbes, Alan Tucholka

Journées de biostatistique 2021 du GDR « Statistiques & Santé » - 2021

Engineering Sciences

A Refined Theory for Bending Vibratory Analysis of Thick Functionally Graded Beams

A refined beam theory that takes the thickness-stretching into account is presented in this study for the bending vibratory behavior analysis of thick functionally graded (FG) beams. In this theory, the number of unknowns is reduced to four instead…

Youssef Boutahar, Nadhir Lebaal, David Bassir

Mathematics - 2021