Intelligence artificielle : 1 à 12 sur 447 au total
Communication dans un congrès
Thibaut Soulard, Joe Raad, Fatiha Saïs. Validation temporelle explicable de faits par la découverte de contraintes temporelles complexes dans les graphes de connaissances. 35es Journées francophones d'Ingénierie des Connaissances (IC 2024) @ Plate-Forme Intelligence Artificielle (PFIA 2024), Jul 2024, La Rochelle, France. pp.62-71. ⟨hal-04650739⟩
Guillaume Wisniewski. Errator: a Tool to Help Detect Annotation Errors in the Universal Dependencies Project. Eleventh International Conference on Language Resources and Evaluation, May 2018, Miyazaki, Japan. ⟨hal-04644202⟩
Nadége Alavoine, Maximin Coavoux, Emmanuelle Esperança-Rodier, Romane Gallienne, Carlos-Emiliano González-Gallardo, et al.. Limitations of Human Identification of Automatically Generated Text. LREC/Coling, May 2024, Turin (Italie), France. ⟨hal-04594836⟩
Boya Zhang, Nona Naderi, Rahul Mishra, Douglas Teodoro. Online Health Search Via Multidimensional Information Quality Assessment Based on Deep Language Models: Algorithm Development and Validation. JMIR AI, 2024, 3, pp.e42630. ⟨10.2196/42630⟩. ⟨hal-04574791⟩
Hossein Rouhizadeh, Irina Nikishina, Anthony Yazdani, Alban Bornet, Boya Zhang, et al.. A Dataset for Evaluating Contextualized Representation of Biomedical Concepts in Language Models. Scientific Data , 2024, 11 (1), pp.455. ⟨10.1038/s41597-024-03317-w⟩. ⟨hal-04574786⟩
Armita Khajeh Nassiri, Nathalie Pernelle, Fatiha Saïs, Gianluca Quercini. RE-miner for data linking results for OAEI 2020. Ontology Matching Workshop at ISWC 2020, Nov 2020, Athens, France. ⟨hal-04537965⟩
Filippo Gatti, Fanny Lehmann, Hugo Gabrielidis, Michaël Bertin, Didier Clouteau, et al.. Deep learning generative strategies to enhance 3D physics-based seismic wave propagation: from diffusive super-resolution to 3D Fourier Neural Operators.. European Geophysical Union General Assembly 2024, Apr 2024, Vienna, Austria. 2024, ⟨10.5194/egusphere-egu24-2443⟩. ⟨hal-04534286⟩
Michèle Sebag, Marc Schoenauer, Caroline Ravisé. An induction-based control for genetic algorithms. Evolution Artificielle '95, 1996, Brest, France. pp.100-119, ⟨10.1007/3-540-59286-5_85⟩. ⟨hal-00116438⟩
Marc Velay, Bich-Liên Doan, Arpad Rimmel, Fabrice Popineau, Fabrice Daniel. Benchmarking Robustness of Deep Reinforcement Learning approaches to Online Portfolio Management. 2023 International Conference on Innovations in Intelligent Systems and Applications (INISTA), Sep 2023, Hammamet, Tunisia. pp.1-6, ⟨10.1109/INISTA59065.2023.10310402⟩. ⟨hal-04473989⟩
Hugo Thimonier, Fabrice Popineau, Arpad Rimmel, Bich-Liên Doan. Beyond Individual Input for Deep Anomaly Detection on Tabular Data. 2nd Table Representation Learning Workshop @ NeurIPS 2023, Dec 2023, New Orleans, France. ⟨10.48550/arXiv.2305.15121⟩. ⟨hal-04473993⟩