LaHDAK

Showing results 1 to 12 of 358 in total

LaHDAK : 1 to 12 of 358 in total

  • N°spécial de revue/special issue

    Fatiha Saïs, Emmanuel Adam, Dominique Longin. PFIA 2024. Bulletin de l'Association Française pour l'Intelligence Artificielle, 126, 2024, Association Française d'Intelligence Artificielle. ⟨hal-05193157⟩

    LaHDAK

    Year of publication

    Available in free access

  • Communication dans un congrès

    Benoît Choffin, Fabrice Popineau, Yolaine Bourda, Jill-Jênn Vie. DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills. JDSE 2019 - Paris-Saclay Junior Conference on Data Science and Engineering, Sep 2019, Gif-sur-Yvette, France. ⟨hal-03427048⟩

    LaHDAK

    Year of publication

    Available in free access

  • Communication dans un congrès

    Jonathan Colin, Silviu Maniu. Optimizing Diverse Information Exposure in Social Graphs. BigData 2024 - IEEE International Conference on Big Data, Dec 2024, Washington, United States. pp.519-528, ⟨10.1109/BigData62323.2024.10825032⟩. ⟨hal-04895827⟩

    LaHDAK

    Year of publication

    Available in free access

  • Communication dans un congrès

    Antoine Amarilli, Benoit Groz, Nicole Wein. Edge-Minimum Walk of Modular Length in Polynomial Time. 16th Innovations in Theoretical Computer Science - ITCS 2025, Jan 2025, New York City, United States. pp.5:1-5:23, ⟨10.4230/LIPIcs.ITCS.2025.5⟩. ⟨hal-04871489⟩

    LaHDAK, LaHDAK

    Year of publication

    Available in free access

  • Communication dans un congrès

    Wenbo Zhou, Philippe Dague, Lei Liu, Lina Ye, Fatiha Zaïdi. A Coloured Petri Nets Based Attack Tolerance Framework. 27th Asia-Pacific Software Engineering Conference (APSEC 2020), IEEE, Dec 2020, Singapore, Singapore. ⟨hal-03133790⟩

    LaHDAK

    Year of publication

    Available in free access

  • Chapitre d'ouvrage

    Mehwish Alam, Genet Asefa Gesese, Pierre-Henri Paris. Neurosymbolic Methods for Dynamic Knowledge Graphs. Handbook on Neurosymbolic Artificial Intelligence, IOS Press, 2025, Frontiers in Artificial Intelligence and Applications, ⟨10.3233/FAIA250223⟩. ⟨hal-04792151⟩

    LaHDAK

    Year of publication

    Available in free access

  • Communication dans un congrès

    Dylan Sechet, Francesca Bugiotti, Matthieu Kowalski, Edouard D’hérouville, Filip Langiewicz. A Hierarchical Deep Learning Approach for Minority Instrument Detection. DAFx 2024 - the 27th International Conference on Digital Audio Effects, Sep 2024, Guildford Surrey, United Kingdom. ⟨hal-04793160⟩

    AO, LaHDAK

    Year of publication

    Available in free access