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Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications.

, , , , , , , , , , , , and . WWW, page 187-196. ACM, (2018)

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On the Necessity and Effectiveness of Learning the Prior of Variational Auto-Encoder., , , , , and . CoRR, (2019)Unsupervised Anomaly Detection for Intricate KPIs via Adversarial Training of VAE., , , , , , , and . INFOCOM, page 1891-1899. IEEE, (2019)Shallow VAEs with RealNVP Prior can Perform as Well as Deep Hierarchical VAEs., , , , , and . ICONIP (5), volume 1333 of Communications in Computer and Information Science, page 650-659. Springer, (2020)Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications., , , , , , , , , and 3 other author(s). WWW, page 187-196. ACM, (2018)Multi-Scale Approaches to the MediaEval 2015 "Emotion in Music" Task., , , , , and . MediaEval, volume 1436 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)Unsupervised Clustering through Gaussian Mixture Variational AutoEncoder with Non-Reparameterized Variational Inference and Std Annealing., , , , , , and . IJCNN, page 1-8. IEEE, (2020)A deep bidirectional long short-term memory based multi-scale approach for music dynamic emotion prediction., , , , , , and . ICASSP, page 544-548. IEEE, (2016)Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder., , and . IPCCC, page 1-9. IEEE, (2018)SVR based double-scale regression for dynamic emotion prediction in music., , , , , , and . ICASSP, page 549-553. IEEE, (2016)VAEPP: Variational Autoencoder with a Pull-Back Prior., , , , and . ICONIP (3), volume 12534 of Lecture Notes in Computer Science, page 366-379. Springer, (2020)