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Références bibliographiques
167
Dépôts avec texte intégral
155
Twitter @LisnLab
LAst publications
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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⟩
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Noémie Jacquet, Vincent Guigue, Cristina Manfredotti, Fatiha Saïs, Stéphane Dervaux, et al.. Modélisation du caractère séquentiel des repas pour améliorer la performance d'un système de recommandation alimentaire. Extraction et Gestion des Connaissances (EGC 2024), Jan 2024, Dijon, France. ⟨hal-04440140⟩
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Karim El Hage, Adel Remadi, Yasmina Hobeika, Ruining Ma, Victor Hong, et al.. A multi-source graph database to showcase a recommender system for dyslexic students. IEEE International Workshop on Data Engineering and Modeling for AI (DEMAI) - IEEE Big Data 2023, Dec 2023, Sorrento, Italy. ⟨hal-04415709⟩
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Thibaut Soulard, Fatiha Saïs, Joe Raad, Gianluca Quercini. Étude de transférabilité des clés pour le liage de données entre graphes de connaissances. 34es Journées francophones d'Ingénierie des Connaissances (IC 2023) @ Plate-Forme Intelligence Artificielle (PFIA 2023), Jul 2023, Strasbourg, France. ⟨hal-04152691⟩
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Sylvain Joube, Hadrien Grasland, David Chamont, Joël Falcou. Kiwaku, a C++20 library for multidimensional arrays Application to ACTS tracking. 26th International Conference on Computing in High Energy & Nuclear Physics (CHEP 2023), May 2023, Norfolk, United States. pp.03021, ⟨10.1051/epjconf/202429503021⟩. ⟨hal-04401240⟩
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Idries Nasim, Shuai Wang, Joe Raad, Peter Bloem, Frank van Harmelen. What does it mean when your URIs are redirected? Examining identity and redirection in the LOD cloud. 8th Workshop on Managing the Evolution and Preservation of the Data Web (MEPDaW at ISWC), Oct 2022, Hangzhou, China. ⟨hal-03953088⟩
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Meduri Venkata Shivaditya, José Alves, Francesca Bugiotti, Frederic Magoules. Graph Neural Network-based Surrogate Models for Finite Element Analysis. 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES), Oct 2022, Chizhou, China. ⟨hal-04142064⟩
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Meduri Venkata Shivaditya, Francesca Bugiotti, Frederic Magoules. Point-Cloud-based Deep Learning Models for Finite Element Analysis. 2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES), Oct 2022, Chizhou, China. pp.50-53, ⟨10.1109/DCABES57229.2022.00049⟩. ⟨hal-04142075⟩
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René Gómez Londoño, Sylvain Wlodarczyk, Molood Arman, Francesca Bugiotti, Nacéra Bennacer Seghouani. Weakly supervised Named Entity Recognition for Carbon Storage using Deep Neural Networks. 25th International Conference on Discovery Science (DS 2022), Oct 2022, Montpellier, France. pp.227-242, ⟨10.1007/978-3-031-18840-4_17⟩. ⟨hal-04142013⟩