MuPaST: Multi-Period Aware Spatio-Temporal Representation Learning for Multivariate Time Series Classification

Xianpeng Li; Ziyang Su; Yuliang Shi; Lin Cheng; Xinjun Wang; Zhiyong Chen; Hui Li

doi:10.1007/978-981-96-8183-9_12

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MuPaST: Multi-Period Aware Spatio-Temporal Representation Learning for Multivariate Time Series Classification

Xianpeng Li Ziyang Su Yuliang Shi Lin Cheng Xinjun Wang Zhiyong Chen Hui Li

Year: 2025 Lecture notes in computer science Pages: 143-153 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-96-8183-9_12

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Keywords:

Computer science Multivariate statistics Representation (politics) Series (stratigraphy) Period (music) Time series Artificial intelligence Machine learning Pattern recognition (psychology) Data mining

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Topics

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Stock Market Forecasting Methods

Social Sciences → Decision Sciences → Management Science and Operations Research

MuPaST: Multi-Period Aware Spatio-Temporal Representation Learning for Multivariate Time Series Classification

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