Pré-publication, Document de travail
Machine Learning
Showing results 1 to 12 of 166 in total
Machine Learning : 1 to 12 of 166 in total
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Pré-publication, Document de travail
Antoine Szatkownik, Léo Planche, Maïwen Demeulle, Titouan Chambe, María Ávila-Arcos, et al.. Diffusion-based artificial genomes and their usefulness for local ancestry inference. 2024. ⟨hal-04801121⟩
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Pré-publication, Document de travail
Burak Yelmen, Maris Alver, Estonian Biobank Research Team, Flora Jay, Lili Milani. Interpreting artificial neural networks to detect genome-wide association signals for complex traits. 2024. ⟨hal-04801114⟩
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Ouvrages
Jean-Daniel Fekete, Danyel Fisher, Michael Sedlmair. Progressive Data Analysis. Eurographics, pp.231, 2024, 978-3-03868-270-7. ⟨10.2312/pda.20242707⟩. ⟨hal-04776568⟩
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Communication dans un congrès
Hui Yang, Mostepha Khouadjia, Nacéra Bennacer Seghouani, Yue Ma, Serge Delmas. Explainable Action-Recognition Based Approach For Unsupervised Video Anomaly Detection. International Symposium on Visual Computing (ISVC), Oct 2024, Lake Tahoe, United States. ⟨hal-04755410⟩
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Communication dans un congrès
Kinda Khawam, Farah Yassine, Samer Lahoud, Yujie Tang, Dominique Quadri, et al.. Federated Non-Stochastic Multi-Armed Bandit for Channel Sensing in Cognitive Radio Systems. IEEE Wireless Communications and Networking Conference, Mar 2025, Milan, Italy. ⟨hal-04745653⟩
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Thèse
Guillaume Bied. Designing Recommender Systems for the Labor Market. Machine Learning [cs.LG]. Université Paris-Saclay, 2024. English. ⟨NNT : 2024UPASG035⟩. ⟨tel-04740932⟩
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Pré-publication, Document de travail
Shuyu Dong, Michèle Sebag, Kento Uemura, Akito Fujii, Shuang Chang, et al.. DCDILP: a distributed learning method for large-scale causal structure learning. 2024. ⟨hal-04710846⟩
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Communication dans un congrès
Omar Shrit, David Filliat, Michele Sebag. Iterative Learning for Model Reactive Control: Application to autonomous multi-agent control. ICARA 2021 - 7th International Conference on Automation, Robotics and Applications, Feb 2021, Prague, Czech Republic. ⟨10.1109/ICARA51699.2021.9376454⟩. ⟨hal-03133162⟩
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Communication dans un congrès
Audrey Poinsot, Alessandro Leite, Nicolas Chesneau, Michele Sebag, Marc Schoenauer. Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges. IJCAI 2024 - Thirty-Third International Joint Conference on Artificial Intelligence, Aug 2024, Jeju, South Korea. pp.8207-8215, ⟨10.24963/ijcai.2024/907⟩. ⟨hal-04706985⟩
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Communication dans un congrès
Xiaoxi Wei, A. Aldo Faisal, Moritz Grosse-Wentrup, Sylvain Chevallier, Vinay Jayaram, et al.. 2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. NeurIPS, Nov 2022, Nouvelle Orleans, United States. ⟨hal-04677636⟩
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Communication dans un congrès
Bui Van-Tuan, Agata Savary. Cross-type French Multiword Expression Identification with Pre-trained Masked Language Models. 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), May 2024, Turin, Italy. pp.4198-4204. ⟨hal-04667119⟩