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⟩
Fatiha Saïs, Emmanuel Adam, Grégory Bonnet, Dominique Longin. PFIA 2023. Bulletin de l'Association Française pour l'Intelligence Artificielle, 122, 2023, Association Française d'Intelligence Artificielle. ⟨hal-04559065⟩
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⟩
Maroua Bahri, Silviu Maniu, Albert Bifet. A Sketch-Based Naive Bayes Algorithms for Evolving Data Streams. 2018 IEEE International Conference on Big Data (Big Data), Dec 2018, Seattle, United States. pp.604-613, ⟨10.1109/BigData.2018.8622178⟩. ⟨hal-04507533⟩
Thamer Mecharnia, Lydia Chibout Khelifa, Nathalie Pernelle, Fayçal Hamdi. An approach toward a prediction of the presence of asbestos in buildings based on incomplete temporal descriptions of marketed products. K-CAP '19: Knowledge Capture Conference, 2019, Marina Del Rey, United States. pp.239-242, ⟨10.1145/3360901.3364428⟩. ⟨hal-04471235⟩
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⟩