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  Martin Engilberge. Deep Inside Visual-Semantic Embeddings. Machine Learning [cs.LG]. Sorbonne Université, 2020. English. ⟨NNT : 2020SORUS150⟩. ⟨tel-03402492⟩
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  Edouard Delasalles. Inferring and Predicting Dynamic Representations for Structured Temporal Data. Machine Learning [cs.LG]. Sorbonne Université, 2020. English. ⟨NNT : 2020SORUS296⟩. ⟨tel-03402021⟩
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  Vincent Grollemund, Gaétan Le Chat, Jean-François Pradat-Peyre, François Delbot. Manifold Learning for Innovation Funding: Identification of Potential Funding Recipients. AIAI 2020 - 16th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, Jun 2020, Neos Marmaras, Greece. pp.119 - 127, ⟨10.1007/978-3-030-49161-1_11⟩. ⟨hal-03401744⟩
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  Clara Charon, Pierre-Henri Wuillemin, Joël Belmin. Réseaux Bayésiens pour la Prédiction d'Évènements de Santé Défavorables en EHPAD (Établissement d'Hébergement pour Personnes Âgées Dépendantes). 10èmes Journées Francophones sur les Réseaux Bayésiens et les Modèles Graphiques Probabilistes (JFRB 2021), Oct 2021, Porquerolles, France. ⟨hal-03388973⟩

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