5 citations · 5 across the 1 of their papers we have counts for
5 papers
Multitask Multi-database Emotion Recognition
Manh Tu Vu, Marie Beurton-Aimar
In this work, we introduce our submission to the 2nd Affective Behavior Analysis in-the-wild (ABAW) 2021 competition. We train a unified deep learning model on multi-databases to p…
Using Graph Neural Networks to Reconstruct Ancient Documents
Cecilia Ostertag, Marie Beurton-Aimar
In recent years, machine learning and deep learning approaches such as artificial neural networks have gained in popularity for the resolution of automatic puzzle resolution proble…
Predicting Brain Degeneration with a Multimodal Siamese Neural Network
Cecilia Ostertag, Marie Beurton-Aimar, Muriel Visani +2
To study neurodegenerative diseases, longitudinal studies are carried on volunteer patients. During a time span of several months to several years, they go through regular medical…
3DSiameseNet to Analyze Brain MRI
Cecilia Ostertag, Marie Beurton-Aimar, Thierry Urruty
Prediction of the cognitive evolution of a person susceptible to develop a neurodegenerative disorder is crucial to provide an appropriate treatment as soon as possible. In this pa…
Simulation of mitochondrial metabolism using multi-agents system
Charles Lales, N. Parisey, Jean-Pierre Mazat +1
Metabolic pathways describe chains of enzymatic reactions. Their modelling is a key point to understand living systems. An enzymatic reaction is an interaction between one or sever…