Semi-supervised noise-resilient anomaly detection with feature autoencoder

Tianyi Zhu; Lina Liu; Yibo Sun; Zhi Lü; Yuanlong Zhang; Chao Xu; Jun Chen

doi:10.1016/j.knosys.2024.112445

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Semi-supervised noise-resilient anomaly detection with feature autoencoder

Tianyi Zhu Lina Liu Yibo Sun Zhi Lü Yuanlong Zhang Chao Xu Jun Chen

Year: 2024 Journal: Knowledge-Based Systems Vol: 304 Pages: 112445-112445 Publisher: Elsevier BV

DOI: 10.1016/j.knosys.2024.112445

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Keywords:

Autoencoder Anomaly detection Pattern recognition (psychology) Feature (linguistics) Artificial intelligence Noise (video) Anomaly (physics) Computer science Physics Artificial neural network Image (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

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Semi-supervised noise-resilient anomaly detection with feature autoencoder

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