Generality-aware self-supervised transformer for multivariate time series anomaly detection

Yucheol Cho; Jae-Hyeok Lee; Gyeongdo Ham; Donggon Jang; Dae‐Shik Kim

doi:10.1007/s10489-025-06481-7

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Generality-aware self-supervised transformer for multivariate time series anomaly detection

Yucheol Cho Jae-Hyeok Lee Gyeongdo Ham Donggon Jang Dae‐Shik Kim

Year: 2025 Journal: Applied Intelligence Vol: 55 (7) Publisher: Springer Science+Business Media

DOI: 10.1007/s10489-025-06481-7

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Keywords:

Generality Computer science Anomaly detection Transformer Multivariate statistics Series (stratigraphy) Artificial intelligence Machine learning Data mining Pattern recognition (psychology) Electrical engineering

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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

Generality-aware self-supervised transformer for multivariate time series anomaly detection

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