209 citations
- Centre National de la Recherche ScientifiqueFR4 papers
- Centre de Recherche en InformatiqueFR3 papers
- Institut national de recherche en sciences et technologies du numériqueFR3 papers
- École Centrale de LilleFR2 papers
- École Nationale Supérieure de Mécanique et d'AérotechniqueFR2 papers
- ElSohly Laboratories (United States)US2 papers
- Institut National des Sciences Appliquées de LyonFR2 papers
- Université de PoitiersFR2 papers
- Centre Automatique et SystèmesFR1 paper
- Centre de Recherche en Informatique, Signal et Automatique de LilleFR1 paper
- Centre de Recherches Interdisciplinaires en Histoire, Histoire de l'Art et MusicologieFR1 paper
- Centre Hospitalier Universitaire de RennesFR1 paper
24 papers
Stroke Lesion Segmentation in Clinical Workflows: A Modular, Lightweight, and Deployment-Ready Tool
Yann Kerverdo, Florent Leray, Youwan Mahé +2
Deep learning frameworks such as nnU-Net achieve state-of-the-art performance in brain lesion segmentation but remain difficult to deploy clinically due to heavy dependencies and m…
Training for Obsolescence? The AI-Driven Education Trap
Andrew J. Peterson
Artificial intelligence is simultaneously transforming the production function of human capital in schools and the return to skills in the labor market. We develop a theoretical mo…
Évaluation des capacités de réponse de larges modèles de langage (LLM) pour des questions d'historiens
Mathieu Chartier, Nabil Dakkoune, Guillaume Bourgeois +1
Large Language Models (LLMs) like ChatGPT or Bard have revolutionized information retrieval and captivated the audience with their ability to generate custom responses in record ti…
Enabling safe walking rehabilitation on the exoskeleton Atalante: experimental results
Maxime Brunet, Marine Pétriaux, Florent Di Meglio +1
This paper exposes a control architecture enabling rehabilitation of walking impaired patients with the lower-limb exoskeleton Atalante. Atalante's control system is modified to al…
Tropical reproducing kernels and optimization
Pierre-Cyril Aubin-Frankowski, Stéphane Gaubert
Hilbertian kernel methods and their positive semidefinite kernels have been extensively used in various fields of applied mathematics and machine learning, owing to their several e…
Clustering to the Fewest Clusters Under Intra-Cluster Dissimilarity Constraints
Jennie Andersen, Brice Chardin, Mohamed Tribak
This paper introduces the equiwide clustering problem, where valid partitions must satisfy intra-cluster dissimilarity constraints. Unlike most existing clustering algorithms, equi…