Self-adversarial variational autoencoder with spectral residual for time series anomaly detection

Detecting anomalies accurately in time series data has been receiving considerable attention due to its enormous potential for a wide array of applications. Numerous unsupervised anomaly detection methods for time series have been developed because of the difficulty of obtaining accurate labels. How...

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Vydané v:	Neurocomputing (Amsterdam) Ročník 458; s. 349 - 363
Hlavní autori:	Liu, Yunxiao, Lin, Youfang, Xiao, QinFeng, Hu, Ganghui, Wang, Jing
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 11.10.2021
Predmet:	Adversarial training Anomaly detection Spectral residual Time series Variational autoencoder Variational autoencoder Adversarial training Spectral residual Anomaly detection Time series
ISSN:	0925-2312, 1872-8286
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