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A Community Detection Based Approach for Exploring Patterns in Player Reviews., , , , и . IntelliSys (1), том 1037 из Advances in Intelligent Systems and Computing, стр. 553-565. Springer, (2019)An Efficient Ontology-Based Expert Peering System., , и . GbRPR, том 4538 из Lecture Notes in Computer Science, стр. 273-282. Springer, (2007)Archetypical motion: Supervised game behavior learning with Archetypal Analysis., и . CIG, стр. 1-8. IEEE, (2013)Predicting Retention in Sandbox Games with Tensor Factorization-based Representation Learning., , , , и . CIG, стр. 1-8. IEEE, (2016)Learning and Game AI., , , , и . Artificial and Computational Intelligence in Games, том 6 из Dagstuhl Follow-Ups, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2013)Novelty-Guided Reinforcement Learning via Encoded Behaviors., , , и . IJCNN, стр. 1-8. IEEE, (2020)From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto Encoders., , , , , и . ICANN (1), том 12396 из Lecture Notes in Computer Science, стр. 27-38. Springer, (2020)Bounding open space risk with decoupling autoencoders in open set recognition., , , , и . Int. J. Data Sci. Anal., 14 (4): 351-373 (2022)Tiefe neuronale Netze., , , и . Handbuch der Künstlichen Intelligenz, De Gruyter, (2020)Decoupling Autoencoders for Robust One-vs-Rest Classification., , , , и . DSAA, стр. 1-10. IEEE, (2021)