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Laurent Vézard
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2020 – today
- 2024
- [j2]Corentin Lallier
, Guillaume Blin, Bruno Pinaud
, Laurent Vézard:
Graph neural network comparison for 2D nesting efficiency estimation. J. Intell. Manuf. 35(2): 859-873 (2024) - 2023
- [c5]Warren Jouanneau, Aurélie Bugeau, Marc Palyart, Nicolas Papadakis, Laurent Vézard:
A Patch-Based Architecture for Multi-Label Classification from Single Positive Annotations. VISIGRAPP (5: VISAPP) 2023: 47-58 - 2022
- [i1]Warren Jouanneau, Aurélie Bugeau, Marc Palyart, Nicolas Papadakis, Laurent Vézard:
A patch-based architecture for multi-label classification from single label annotations. CoRR abs/2209.06530 (2022) - 2021
- [c4]Warren Jouanneau, Aurélie Bugeau, Marc Palyart, Nicolas Papadakis, Laurent Vézard:
Where Are My Clothes? A Multi-Level Approach for Evaluating Deep Instance Segmentation Architectures on Fashion Images. CVPR Workshops 2021: 3951-3955
2010 – 2019
- 2015
- [j1]Laurent Vézard, Pierrick Legrand, Marie Chavent, Frédérique Faïta-Aïnseba, Leonardo Trujillo
:
EEG classification for the detection of mental states. Appl. Soft Comput. 32: 113-131 (2015) - 2013
- [c3]Laurent Vézard, Marie Chavent, Pierrick Legrand, Frédérique Faïta-Aïnseba, Leonardo Trujillo
:
Detecting mental states of alertness with genetic algorithm variable selection. IEEE Congress on Evolutionary Computation 2013: 1247-1254 - 2012
- [c2]Laurent Vézard, Pierrick Legrand, Marie Chavent, Frédérique Faïta-Aïnseba, Julien Clauzel, Leonardo Trujillo
:
Classification of EEG Signals by an Evolutionary Algorithm. EGC (best of volume) 2012: 133-153 - [c1]Laurent Vézard, Pierrick Legrand, Marie Chavent, Frédérique Faïta-Aïnseba, Julien Clauzel:
Classification de données EEG par algorithme évolutionnaire pour l'étude d'états de vigilance. EGC 2012: 189-200
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