A contrastive autoencoder with multi-resolution segment-consistency discrimination for multivariate time series anomaly detection

Bing Xue; Xin Gao; Feng Zhai; Baofeng Li; Jiahao Yu; Shiyuan Fu; Lingli Chen; Zhihang Meng

doi:10.1007/s10489-023-04985-8

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A contrastive autoencoder with multi-resolution segment-consistency discrimination for multivariate time series anomaly detection

Bing Xue Xin Gao Feng Zhai Baofeng Li Jiahao Yu Shiyuan Fu Lingli Chen Zhihang Meng

Year: 2023 Journal: Applied Intelligence Vol: 53 (23)Pages: 28655-28674 Publisher: Springer Science+Business Media

DOI: 10.1007/s10489-023-04985-8

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Keywords:

Autoencoder Computer science Artificial intelligence Anomaly detection Pattern recognition (psychology) Proxy (statistics) Consistency (knowledge bases) Multivariate statistics Encoder Anomaly (physics) Data mining Deep learning Machine learning

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Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Data-Driven Disease Surveillance

Health Sciences → Medicine → Epidemiology

A contrastive autoencoder with multi-resolution segment-consistency discrimination for multivariate time series anomaly detection

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