Machine Learning

Showing results 1 to 12 of 188 in total

Machine Learning : 1 to 12 of 188 in total

  • Article dans une revue

    Arnaud Quelin, Frédéric Austerlitz, Flora Jay. Assessing simulation-based supervised machine learning for demographic parameter inference from genomic data. Heredity, 2025, 134 (7), pp.417-426. ⟨10.1038/s41437-025-00773-x⟩. ⟨hal-05335745⟩

    AO, BioInfo

    Year of publication

    Available in free access

  • Communication dans un congrès

    Solal Nathan, Guillaume Bied, Elia Pérennès, Philippe Caillou, Bruno Crépon, et al.. JoLA: Job Landscape Aware Job Recommendation. RecSys in HR 2025 - The 5th Workshop on Recommender Systems for Human Resources, in conjunction with the 19th ACM Conference on Recommender Systems, Toine Bogers; Mesut Kaya; Chris Johnson; Jens-Joris Decorte; Guillaume Bied, Sep 2025, Prague, Czech Republic. ⟨hal-05341058⟩

    AO

    Year of publication

    Available in free access

  • Article dans une revue

    Mathurin Videau, Alessandro Leite, Marc Schoenauer, Olivier Teytaud. Mixture of Experts for Image Classification: What's the Sweet Spot?. Transactions on Machine Learning Research Journal, 2025. ⟨hal-05329451⟩

    AO

    Year of publication

    Available in free access

  • Pré-publication, Document de travail

    Antoine Szatkownik, Aurélien Decelle, Beatriz Seoane, Nicolas Béreux, Léo Planche, et al.. PRIVET: Privacy Metric Based On Extreme Value Theory. 2025. ⟨hal-05326013⟩

    AO, BioInfo

    Year of publication

    Available in free access

  • Communication dans un congrès

    Tristan Bilot, Baoxiang Jiang, Zefeng Li, Nour El Madhoun, Khaldoun Al Agha, et al.. Sometimes Simpler is Better: A Comprehensive Analysis of State-of-the-Art Provenance-Based Intrusion Detection Systems. USENIX Security 2025, Aug 2025, Seattle, WA, United States. ⟨hal-05245280⟩

    Year of publication

    Available in free access

  • Communication dans un congrès

    Baoxiang Jiang, Tristan Bilot, Nour El Madhoun, Khaldoun Al Agha, Anis Zouaoui, et al.. ORTHRUS: Achieving High Quality of Attribution in Provenance-based Intrusion Detection Systems. USENIX Security 2025, Aug 2025, Seattle, WA, United States. ⟨hal-05245139⟩

    Year of publication

    Available in free access

  • Pré-publication, Document de travail

    Jad Yehya, Mansour Benbakoura, Cédric Allain, Benoît Malezieux, Matthieu Kowalski, et al.. RoseCDL: Robust and scalable convolutional dictionary learning for rare-event detection. 2025. ⟨hal-05250429⟩

    AO

    Year of publication

    Available in free access

  • Article dans une revue, Article dans une revue

    Thi-Tuyet-Trang Chau, Anna E. Dudek, Hernando Ombao, Sylvain Chevallier. Impact of Surface Ocean CO2 Atlas (SOCAT) observing network extensions on the quantification of global air-sea CO2 fluxes. Science of the Total Environment, In press, 999, pp.180265. ⟨10.1016/j.scitotenv.2025.180265⟩. ⟨hal-05209651⟩

    AO, AO

    Year of publication

    Available in free access

  • Thèse

    Nicolas Atienza. Towards Reliable ML : Leveraging Multi-Modal Representations, Information Bottleneck and Extreme Value Theory. Machine Learning [stat.ML]. Université Paris-Saclay, 2025. English. ⟨NNT : 2025UPASG025⟩. ⟨tel-05140441⟩

    GALaC

    Year of publication

    Available in free access

  • Pré-publication, Document de travail

    Niccolò Perrone, Fanny Lehmann, Hugo Gabrielidis, Stefania Fresca, Filippo Gatti. Integrating Fourier Neural Operators with Diffusion Models to improve Spectral Representation of Synthetic Earthquake Ground Motion Response. 2025. ⟨hal-05016980⟩

    ParSys

    Year of publication

    Available in free access

  • Communication dans un congrès

    Djamel Mesbah, Nour El Madhoun, Khaldoun Al Agha, Hani Chalouati. Exploring NLP Techniques for Code Smell Detection: A Comparative Study. The 39th International Conference on Advanced Information Networking and Applications (AINA-2025), Apr 2025, Barcelone, Spain. ⟨hal-05014865⟩

    ROCS

    Year of publication

    Available in free access

  • Communication dans un congrès, Communication dans un congrès

    Stéphane Rivaud, Louis Fournier, Thomas Pumir, Eugene Belilovsky, Michael Eickenberg, et al.. PETRA: Parallel End-to-end Training with Reversible Architectures. The Thirteenth International Conference on Learning Representations, 2025, Singapour, Singapore. ⟨hal-04594647v2⟩

    AO

    Year of publication

    Available in free access