A weakly supervised anomaly detection method based on deep anomaly scoring network

Xin Xie; Zixi Li; Yuhui Huang; Dengquan Wu

doi:10.1007/s11760-023-02619-7

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A weakly supervised anomaly detection method based on deep anomaly scoring network

Xin Xie Zixi Li Yuhui Huang Dengquan Wu

Year: 2023 Journal: Signal Image and Video Processing Vol: 17 (8)Pages: 3903-3911 Publisher: Springer Science+Business Media

DOI: 10.1007/s11760-023-02619-7

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Keywords:

Anomaly detection Anomaly (physics) Computer science Pattern recognition (psychology) Robustness (evolution) Artificial intelligence Feature (linguistics) Feature extraction Data mining Scale (ratio) Geography

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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 weakly supervised anomaly detection method based on deep anomaly scoring network

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