JOURNAL ARTICLE

Probabilistic autoencoder with multi-scale feature extraction for multivariate time series anomaly detection

Guangyao ZhangXin GaoLei WangBing XueShiyuan FuJiahao YuZijian HuangXu Huang

Year: 2022 Journal:   Applied Intelligence Vol: 53 (12)Pages: 15855-15872   Publisher: Springer Science+Business Media
Keywords:
Computer science Anomaly detection Autoencoder Multivariate statistics Probabilistic logic Anomaly (physics) Artificial intelligence Series (stratigraphy) Pattern recognition (psychology) Time series Feature (linguistics) Scale (ratio) Feature extraction Data mining Artificial neural network Machine learning Geology

Metrics

8
Cited By
1.57
FWCI (Field Weighted Citation Impact)
44
Refs
0.81
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Anomaly Detection Techniques and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Time Series Analysis and Forecasting
Physical Sciences →  Computer Science →  Signal Processing
Network Security and Intrusion Detection
Physical Sciences →  Computer Science →  Computer Networks and Communications
© 2026 ScienceGate Book Chapters — All rights reserved.