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Hierarchical optimal transport for unsupervised domain adaptation., , и . Mach. Learn., 111 (11): 4159-4182 (2022)When Domain Adaptation Meets Semi-supervised Learning Through Optimal Transport., , и . AIAI (1), том 646 из IFIP Advances in Information and Communication Technology, стр. 58-69. Springer, (2022)L'ambiguïté dans la représentation des émotions : état de l'art des bases de données multimodales., , , , и . EGC, том E-38 из RNTI, стр. 87-98. Editions RNTI, (2022)Theoretical Guarantees for Domain Adaptation with Hierarchical Optimal Transport., , и . CoRR, (2022)Collaborative Learning to Improve the Non-uniqueness of NMF., , , , и . Int. J. Comput. Intell. Appl., 21 (1): 2250001:1-2250001:24 (2022)A comparative study of emotion recognition methods using facial expressions., , , и . CoRR, (2022)Incremental Unsupervised Domain Adaptation Through Optimal Transport., , и . IJCNN, стр. 1-8. IEEE, (2022)Étude comparative de méthodes de reconnaissance des émotions à partir d'expressions faciales., , , и . EGC, том E-39 из RNTI, стр. 653-654. Editions RNTI, (2023)Attributed Network Clustering : Application to recommender systems. (Clustering dans les réseaux attribués : Application aux systèmes de recommandation).. Sorbonne Paris Cité, France, (2018)Hierarchical Optimal Transport for Unsupervised Domain Adaptation., , , и . CoRR, (2021)