output
20182026

9 papers

cs.CV2026

Variational Encoder--Multi-Decoder (VE-MD) for Privacy-by-functional-design (Group) Emotion Recognition

Anderson Augusma, Dominique Vaufreydaz, Fédérique Letué

Group Emotion Recognition (GER) aims to infer collective affect in social environments such as classrooms, crowds, and public events. Many existing approaches rely on explicit indi…

cs.CV2026

Active Learning under Simulated Class Imbalance and Label Shift in Binary Semantic Segmentation

Julien Combes, Alexandre Derville, Jean-François Coeurjolly

The aim of Active Learning is to select the most informative samples from an unlabelled set of data. This is useful in cases where the amount of data is large and labelling is expe…

stat.ME2026

Simulation of warping processes with applications to temperature data

Nolwenn Le Méhauté, Jean-François Coeurjolly, Marie-Hélène Descary

Curve registration plays a major role in functional data analysis by separating amplitude and phase variation through warping functions and the accurate simulation of warping proce…

stat.ME2025

Marked point processes intensity estimation using sparse group Lasso method applied to locations of lucrative and cooperative banks in mainland France

Amélie Artis, Achmad Choiruddin, Jean-François Coeurjolly +1

In this paper, we model the locations of five major banks in mainland France, two lucrative and three cooperative institutions based on socio-economic considerations. Locations of…

astro-ph.EP2025

A minor planet in an outer resonance with Uranus

Daniel Bamberger, K Ly, Sam Deen +1

We have located archival observations of the centaur 2015 OU from 2017 and 2018, which extend its data-arc length from 1.0 to 3.5 years. We show that it is in an outer $3:4…

stat.ME2025

Benchmarking Brain Connectivity Graph Inference: A Novel Validation Approach

Alice Chevaux, Ali Fahkar, Kévin Polisano +2

Inferring a binary connectivity graph from resting-state fMRI data for a single subject requires making several methodological choices and assumptions that can significantly affect…

cs.CV2025

Disentangling Modes and Interference in the Spectrogram of Multicomponent Signals

Kévin Polisano, Sylvain Meignen, Nils Laurent +1

In this paper, we investigate how the spectrogram of multicomponent signals can be decomposed into a mode part and an interference part. We explore two approaches: (i) a variationa…

eess.SP2025

G{é}n{é}ration de Matrices de Corr{é}lation avec des Structures de Graphe par Optimisation Convexe

Ali Fahkar, Kévin Polisano, Irène Gannaz +1

This work deals with the generation of theoretical correlation matrices with specific sparsity patterns, associated to graph structures. We present a novel approach based on convex…

math.GR2018

Hilbertian fields and Hilbert's irreducibility theorem

Rodney Coleman, Laurent Zwald

Hilbert's irreducibility theorem plays an important role in inverse Galois theory. In this article we introduce Hilbertian fields and present a clear detailed proof of Hilbert's ir…