A self-supervised anomaly detection algorithm with interpretability

Zhichao Wu; Xin Yang; Xiaopeng Wei; Peijun Yuan; Yuanping Zhang; J.Y. Bai

doi:10.1016/j.eswa.2023.121539

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JOURNAL ARTICLE

A self-supervised anomaly detection algorithm with interpretability

Zhichao Wu Xin Yang Xiaopeng Wei Peijun Yuan Yuanping Zhang J.Y. Bai

Year: 2023 Journal: Expert Systems with Applications Vol: 237 Pages: 121539-121539 Publisher: Elsevier BV

DOI: 10.1016/j.eswa.2023.121539

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Keywords:

Anomaly detection Interpretability Computer science Anomaly (physics) Identification (biology) Generalization Cluster analysis Pattern recognition (psychology) Data mining Algorithm Feature (linguistics) Artificial intelligence Set (abstract data type) Task (project management) Statistical classification Machine learning Mathematics

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Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Data-Driven Disease Surveillance

Health Sciences → Medicine → Epidemiology

A self-supervised anomaly detection algorithm with interpretability

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