Rémi Uro, David Doukhan. Pendant le confinement, le temps de parole des femmes a baissé à la télévision et à la radio. La revue des médias, 2020. ⟨hal-04906221⟩
Apolline Mellot. Machine learning and domain adaptation for enhancing the measure of brain health with MEG and EEG signals. Artificial Intelligence [cs.AI]. Université Paris-Saclay, 2024. English. ⟨NNT : 2024UPASG068⟩. ⟨tel-04906458⟩
Giovanni Catania, Aurélien Decelle, Beatriz Seoane. The Copycat Perceptron: Smashing Barriers Through Collective Learning. Physical Review E , 2024, 109 (6), pp.065313. ⟨10.1103/PhysRevE.109.065313⟩. ⟨hal-04918895⟩
Laetitia Biscarrat, David Doukhan, Cyril Grouin. De Loft Story aux Marseillais à Dubaï : 20 ans de télé-réalité, 20 ans de sexisme ? Apport des méthodes d’analyse automatique pour une approche comparative. Première journée d'études de l'Arcom, ARCOM, Nov 2022, Paris, France. ⟨hal-04905959⟩
Rémi Uro, Marie Tahon, David Doukhan, Albert Rilliard. Comprendre les phénomènes permettant la gestion des tours de parole dans les contenus de médias audiovisuels. Journée commune AFIA-TLH / AFCP – “Extraction de connaissances interprétables pour l’étude de la communication parlée", Corinne Fredouille; Maëva Garnier; Olivier Perrotin; Marie Tahon, Dec 2023, Avignon, France. ⟨hal-04906679⟩
Rémy Hosseinkhan-Boucher, Stella Douka, Onofrio Semeraro, Lionel Mathelin. Increasing Information for Model Predictive Control with Semi-Markov Decision Processes. 6th Annual Conference on Learning for Dynamics and Control, Jul 2024, Oxford, United Kingdom. ⟨hal-04794446⟩
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⟩
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. pp.182-195, ⟨10.1007/978-3-031-77392-1_14⟩. ⟨hal-04755410⟩
Audrey Poinsot, Alessandro Leite, Nicolas Chesneau, Michele Sebag, Marc Schoenauer. Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges. IJCAI 2024 - Survey Track, Aug 2024, Jeju, South Korea. pp.8207-8215, ⟨10.24963/ijcai.2024/907⟩. ⟨hal-04706985⟩
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⟩
Paulo Henrique Couto, Quang Phuoc Ho, Nageeta Kumari, Benedictus Kent Rachmat, Thanh Gia Hieu Khuong, et al.. RelevAI-Reviewer: A Benchmark on AI Reviewers for Survey Paper Relevance. CAp 2024 - Conférence sur l'Apprentissage Automatique, Jul 2024, Lille, France. ⟨hal-04608255⟩