Publications

General Mathematics

Extraction of Nystagmus Patterns from Eye-Tracker Data with Convolutional Sparse Coding

The analysis of the Nystagmus waveforms from eye-tracking records is crucial for the clinicial interpretation of this pathological movement. A major issue to automatize this analysis is the presence of natural eye movements and eye blink artefacts…

Clément Lalanne, Maxence Rateaux, Laurent Oudre, Matthieu Robert, Thomas Moreau

EMBC 2020 - 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society - 2020

General Mathematics

Classification d'événements à partir de capteurs sols - Application au suivi de personnes fragiles.

This thesis addresses the subject of event detection in temporal signals for elderly monitoring by the use of a floor pressure sensor. We first show that most proposed systems do not meet main practical issues and that floor systems constitute…

Ludovic Minvielle

General Mathematics

Comparaison d'images invariantes affines

Image comparison, which consists in deciding whether or not several images represent some common or similar objects, is a problem recognized as difficult, especially because of the viewpoint changes between images. The apparent deformations of…

Mariano Rodriguez

Other Statistics

Tensor Convolutional Sparse Coding with Low-Rank activations, an application to EEG analysis

Recently, there has been growing interest in the analysis of spectrograms of ElectroEncephaloGram (EEG), particularly to study the neural correlates of (un)-consciousness during General Anesthesia (GA). Indeed, it has been shown that order three…

Pierre Humbert, Laurent Oudre, Nivolas Vayatis, Julien Audiffren

Statistics

Statistiques non locales dans les images : modélisation, estimation et échantillonnage

In this thesis we study two non-localstatistics in images from a probabilistic point of view: spatialredundancy and convolutional neural network features. Moreprecisely, we are interested in the estimation and detection ofspatial redundancy in…

Valentin de Bortoli

Signal and Image processing

The Use of Inertial Measurement Units for the Study of Free Living Environment Activity Assessment: A Literature Review

Sylvain Jung, Mona Michaud, Laurent Oudre, Eric Dorveaux, Louis Gorintin, Nicolas Vayatis, Damien Ricard

Sensors - 2020

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

Engineering Sciences

ON THE VALIDATION AND USE OF A SIMPLIFIED MODEL OF AEOLIAN VIBRATION OF OVERHEAD LINES FOR PARAMETRIC STUDIES

Emmanuel Cieren, John Redford, Maxime Guéguin, Olivier Allix, Christine Yang, Fikri Hafid, Jean-Michel Ghidaglia

XI International Conference on Structural Dynamics - 2020