SFAFormer: Sampling Frequency-Aware Transformer Specialized for Unsupervised Anomaly Detection in Irregular Multivariate Time Series

Information Sciences 2026

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Authors: Kwangeun Cho, JungMin Lee, Seoung Bum Kim
DOI: 10.1016/j.ins.2026.123094
Cited by: 1
References: 22

Fields of Study & Subjects

Anomaly Detection Techniques and Applications Time Series Analysis and Forecasting Software System Performance and Reliability

Publication details

Journal / source
Information Sciences
Publisher
Elsevier BV
Volume
736
Pages
123094–123094
Publication date
8 January 2026
Language
EN