LaHDAK

Showing results 1 to 12 of 388 in total

LaHDAK : 1 to 12 of 388 in total

  • Communication dans un congrès

    Lilia Izri, Benoît Groz, Silviu Maniu. Implementing Efficient Linear Bandits Via Sketches and Random Projections. 2025 IEEE International Conference on Big Data (BigData), Dec 2025, Macau, China. pp.956-965, ⟨10.1109/BigData66926.2025.11401692⟩. ⟨hal-05684798⟩

    LaHDAK

    Year of publication

    Available in free access

  • Communication dans un congrès

    Alan Gany, Bogdan Cautis, Silviu Maniu. Structural Adversarial Attacks on Relational Deep Learning under Integrity Constraints. AIDB 2026 - VLDB Workshop on Databases and AI, Aug 2026, Boston (MA), United States. ⟨hal-05687375⟩

    LaHDAK

    Year of publication

    Available in free access

  • Article dans une revue

    Jonathan Colin, Silviu Maniu. Maximizing Diverse Information Exposure in Content-Based Social Networks. Transactions on Large-Scale Data- and Knowledge-Centered Systems, 2026, Lecture Notes in Computer Science, 16240, pp.1-31. ⟨10.1007/978-3-662-72449-1_1⟩. ⟨hal-05687331⟩

    LaHDAK

    Year of publication

  • Communication dans un congrès

    Hugo Thimonier, José Lucas de Melo Costa, Fabrice Popineau, Arpad Rimmel, Bich-Liên Doan. T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data. ICLR 2025 - International Conference on Learning Representations, Apr 2025, Sinagpore, Singapore. ⟨10.48550/arXiv.2410.05016⟩. ⟨hal-05624276⟩

    AO, GALaC, LaHDAK

    Year of publication

    Available in free access

  • Pré-publication, Document de travail

    Fabrice Popineau. Repenser l'évaluation à l'heure de l'ia générative : changer son objet plutôt que son format. 2026. ⟨hal-05630830⟩

    LaHDAK

    Year of publication

    Available in free access

  • Communication dans un congrès

    Hanane Kteich, Gianluca Quercini, Joe Raad, Fatiha Saïs. BEAM: A First Benchmark for Microdata Entity Alignment with Knowledge Graphs. The 41st ACM/SIGAPP Symposium On Applied Computing, Thessaloniki,, Mar 2026, Thessaloniki, Greece, Greece. ⟨10.1145/3748522.3779966⟩. ⟨hal-05609694⟩

    LaHDAK

    Year of publication

    Available in free access

  • Communication dans un congrès, Communication dans un congrès

    Lucas José Velôso de Souza, Ingrid Valverde Reis Zreik, Adrien Salem-Sermanet, Nacéra Seghouani, Lionel Pourchier. A Deep Learning-Based Approach for Mangrove Monitoring. ECML PKDD 2024 - Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2024, Vilnius, Lithuania. pp.242-253, ⟨10.1007/978-3-032-25311-8_20⟩. ⟨hal-05622381⟩

    LaHDAK

    Year of publication

    Available in free access