Unsupervised anomaly detection using inverse generative adversarial networks

DOI10.1016/j.ins.2024.121435MaRDI QIDQ6658957

Haoyuan Hu, Kunpeng Han, Jicong Fan, Jianfeng Zhou, Feng Xiao

Publication date: 8 January 2025

Published in: Information Sciences (Search for Journal in Brave)

zbMATH Keywords

unsupervised learninganomaly detectiongenerative adversarial networkslogistics data analysis

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Cites Work

• Support vector data description
• Fault detection and diagnosis of non-linear non-Gaussian dynamic processes using kernel dynamic independent component analysis
• Reducing the Dimensionality of Data with Neural Networks
• Semi-supervised anomaly detection in dynamic communication networks
• Almost aggregations in the gravitational clustering to perform anomaly detection

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