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Towards a deep learning model for hybrid recommendation.

, , , и . WI, стр. 1260-1264. ACM, (2017)

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Fabio Sternberg

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Picture-based navigation for diagnosing post-harvest diseases of apple., , , , , и . RecSys, стр. 506-507. ACM, (2018)Making Continuous Time Bayesian Networks More Flexible., , , и . PGM, том 72 из Proceedings of Machine Learning Research, стр. 237-248. PMLR, (2018)A survey on Bayesian network structure learning from data., , и . Progress in AI, 8 (4): 425-439 (2019)Contextual multi-armed bandit strategies for diagnosing post-harvest diseases of apple., , , и . IUI, стр. 83-87. ACM, (2020)A Survey on Causal Discovery: Theory and Practice., и . CoRR, (2023)Continuous time Bayesian network classifiers., и . J. Biomed. Informatics, 45 (6): 1108-1119 (2012)Investigating the Compositional Structure of Deep Neural Networks., , , , и . LOD (1), том 12565 из Lecture Notes in Computer Science, стр. 322-334. Springer, (2020)Structure learning algorithms for multidimensional continuous-time Bayesian network classifiers., , , , и . PGM, том 186 из Proceedings of Machine Learning Research, стр. 313-324. PMLR, (2022)Case Study on the Development of a Recommender for Apple Disease Diagnosis with a Knowledge-based Bayesian Network (Long paper)., , , и . KaRS/ComplexRec@RecSys, том 2960 из CEUR Workshop Proceedings, CEUR-WS.org, (2021)Representing Hypoexponential Distributions in Continuous Time Bayesian Networks., , , и . IPMU (3), том 855 из Communications in Computer and Information Science, стр. 565-577. Springer, (2018)