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Variational Conditional Dependence Hidden Markov Models for Skeleton-Based Action Recognition., , и . ISVC (2), том 13018 из Lecture Notes in Computer Science, стр. 67-80. Springer, (2021)Non-parametric Bayesian approaches to deep neural networks. National and Kapodistrian University of Athens, Greece, (2020)National Archive of PhD Theses: oai:10442/47711.A Deep Learning Approach for Dynamic Balance Sheet Stress Testing., , , , and . ICAIF, page 53-61. ACM, (2022)Nonparametric Bayesian Deep Networks with Local Competition., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 4980-4988. PMLR, (2019)Stochastic Transformer Networks with Linear Competing Units: Application to end-to-end SL Translation., , , , and . ICCV, page 11926-11935. IEEE, (2021)A New Dataset for End-to-End Sign Language Translation: The Greek Elementary School Dataset., , , , and . ICCV (Workshops), page 1958-1967. IEEE, (2023)DISCOVER: Making Vision Networks Interpretable via Competition and Dissection., and . CoRR, (2023)Competing Mutual Information Constraints with Stochastic Competition-Based Activations for Learning Diversified Representations., , and . AAAI, page 7931-7940. AAAI Press, (2022)Dialog Speech Sentiment Classification for Imbalanced Datasets., , , , , , and . SPECOM, volume 12997 of Lecture Notes in Computer Science, page 460-471. Springer, (2021)Variational Conditional-Dependence Hidden Markov Models for Human Action Recognition., , and . CoRR, (2020)