Publications

Machine Learning

Unsupervised Multi-Source Domain Adaptation for Regression

We consider the problem of unsupervised domain adaptation from multiple sources in a regression setting. We propose in this work an original method to take benefit of different sources using a weighted combination of the sources. For this purpose,…

Guillaume Richard, Antoine de Mathelin, Georges Hébrail, Mathilde Mougeot, Nicolas Vayatis

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - 2020

Neurons and Cognition

An opinion paper on the maintenance of robustness: Towards a multimodal and intergenerational approach using digital twins

The increasing number of frail elderly people in our aging society is becoming problematic: about 11% of community-dwelling older persons are frail and another 42% are pre-frail. Consequently, a major challenge in the coming years will be to test…

Pierre‐paul Vidal, Alienor Vienne‐jumeau, Albane Moreau, Catherine Vidal, Danping Wang, Julien Audiffren, Ioannis Bargiotas, Rémi Barrois, Stéphane Buffat, Clément Dubost, Jean-Michel Ghidaglia, Christophe Labourdette, Juan Mantilla, Laurent Oudre, Flavien Quijoux, Matthieu P Robert, Alain Yelnik, Damien Ricard, Nicolas Vayatis

Aging Medicine - 2020

Combinatorics

Apprentissage efficient dans les problèmes de semi-bandits stochastiques combinatoires

Combinatorial stochastic semi-bandits appear naturally in many contexts where the exploration/exploitation dilemma arises, such as web content optimization (recommendation/online advertising) or shortest path routing methods. This problem is…

Pierre Perrault

Ecosystems

Hough transform implementation to evaluate the morphological variability of the moon jellyfish (Aurelia spp.)

Variations of the animal body plan morphology and morphometry can be used as prognostic tools of their habitat quality. The potential of the moon jellyfish (Aurelia spp.) as a new model organism has been poorly tested. However, as a tetramerous…

Céline Lacaux, Agnès Desolneux, Justine Gadreaud, Bertrand Martin-Garin, Alain Thiéry

General Mathematics

Bandit algorithms for recommender system optimization

In this PhD thesis, we study the optimization of recommender systems with the objective of providing more refined suggestions of items for a user to benefit.The task is modeled using the multi-armed bandit framework.In a first part, we look upon two…

Matthieu Jedor

General Mathematics

Sequential learning and stochastic optimization of convex functions

In this thesis we study several machine learning problems that are all linked with the minimization of a noisy function, which will often be convex.Inspired by real-life applications we focus on sequential learning problems which consist in treating…

Xavier Fontaine

Artificial Intelligence

Transfer Learning on Decision Tree with Class Imbalance

Ludovic Minvielle, Mounir Atiq, Sergio Peignier, Mathilde Mougeot

31st IEEE International Conference on Tools with Artificial Intelligence - 2019

Humanities and Social Sciences

Nonlocality Versus Modified Realism

Hervé Zwirn

Foundations of Physics - 2019

Santé publique et épidémiologie

Étude descriptive des participants aux ateliers de prévention du "bien vieillir atout âge" à la Réunion [Poster]

F. Legrand, J.M. Eychene, A. Nicolai, J. Audiffren, C. Ciman, Armelle Klein, C. Labourdette, L. Oudre, N. Vayatis, P.P. Vidal, Frédéric Sandron

Journées Annuelles de la Société Française de Gériatrie et Gérontologie - 2019

Life Sciences

Posterior Fossa Arachnoid Cyst in a Pediatric Population is Associated with Social Perception and Rest Cerebral Blood Flow Abnormalities

Posterior fossa arachnoid cysts (PFAC) may produce not only neurological symptoms but also other symptoms still poorly understood such as behavioral and learning deficits, awkwardness, and difficulties in social interaction. These subtle social…

Elza Rechtman, Stephanie Puget, Ana Saitovitch, Hervé Lemaitre, Ludovic Fillion, Jean-Marc Tacchella, Jennifer Boisgontier, Marie-Laure Cuny, Nathalie Boddaert, Monica Zilbovicius

The Cerebellum - 2019