Classification de données EEG par algorithme évolutionnaire pour l'étude d'états de vigilance. - Laurent Vézard; Pierrick Legrand; Marie Chavent; Frédérique Faïta-Aïnseba; Julien Clauzel (EGC, 2012)

Classification of EEG Signals by an Evolutionary Algorithm. - Laurent Vézard; Pierrick Legrand; Marie Chavent; Frédérique Faïta-Aïnseba; Julien Clauzel; Leonardo Trujillo (EGC (best of volume), 2012)

Detecting mental states of alertness with genetic algorithm variable selection. - Laurent Vézard; Marie Chavent; Pierrick Legrand; Frédérique Faïta-Aïnseba; Leonardo Trujillo (IEEE Congress on Evolutionary Computation, 2013)

EEG classification for the detection of mental states. - Laurent Vézard; Pierrick Legrand; Marie Chavent; Frédérique Faïta-Aïnseba; Leonardo Trujillo (Appl. Soft Comput., 2015)

Where Are My Clothes? A Multi-Level Approach for Evaluating Deep Instance Segmentation Architectures on Fashion Images. - Warren Jouanneau; Aurélie Bugeau; Marc Palyart; Nicolas Papadakis; Laurent Vézard (CVPR Workshops, 2021)

A patch-based architecture for multi-label classification from single label annotations. - Warren Jouanneau; Aurélie Bugeau; Marc Palyart; Nicolas Papadakis; Laurent Vézard (CoRR, 2022)

A Patch-Based Architecture for Multi-Label Classification from Single Positive Annotations. - Warren Jouanneau; Aurélie Bugeau; Marc Palyart; Nicolas Papadakis; Laurent Vézard (VISIGRAPP (5: VISAPP), 2023)

Graph neural network comparison for 2D nesting efficiency estimation. - Corentin Lallier; Guillaume Blin; Bruno Pinaud; Laurent Vézard (J. Intell. Manuf., 2024)