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A deep bidirectional long short-term memory based multi-scale approach for music dynamic emotion prediction., , , , , , и . ICASSP, стр. 544-548. IEEE, (2016)Shallow VAEs with RealNVP Prior can Perform as Well as Deep Hierarchical VAEs., , , , , и . ICONIP (5), том 1333 из Communications in Computer and Information Science, стр. 650-659. Springer, (2020)On the Necessity and Effectiveness of Learning the Prior of Variational Auto-Encoder., , , , , и . CoRR, (2019)Unsupervised Anomaly Detection on Microservice Traces through Graph VAE., , , , , , , и . WWW, стр. 2874-2884. ACM, (2023)Unsupervised Anomaly Detection for Intricate KPIs via Adversarial Training of VAE., , , , , , , и . INFOCOM, стр. 1891-1899. IEEE, (2019)A Lightweight and Multi-Branch Module in Facial Semantic Segmentation Feature Extraction., , , , , и . IEEE Access, (2024)Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications., , , , , , , , , и 3 other автор(ы). WWW, стр. 187-196. ACM, (2018)Unsupervised Clustering through Gaussian Mixture Variational AutoEncoder with Non-Reparameterized Variational Inference and Std Annealing., , , , , , и . IJCNN, стр. 1-8. IEEE, (2020)Multi-Scale Approaches to the MediaEval 2015 "Emotion in Music" Task., , , , , и . MediaEval, том 1436 из CEUR Workshop Proceedings, CEUR-WS.org, (2015)Chain-of-Event: Interpretable Root Cause Analysis for Microservices through Automatically Learning Weighted Event Causal Graph., , , , , , , , и . SIGSOFT FSE Companion, стр. 50-61. ACM, (2024)