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Patch is effective for multivariate time series classification

delete2025-11-17
delete0
PRE
AI
Y
Yanxuan Wei
Y
Yingxia Tang
X
Xiangwei Zheng
C
Cun Ji
DOI：10.1016/j.knosys.2025.114923delete
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Abstract

Abstract

En 中文
• We propose PatchMTSC, integrating channel-mixing and independent strategies. • PatchMTSC captures long-series patterns via cross-patch and timestamp. • The PatchMTSC model demonstrates improved accuracy.

Journal

K
Knowledge-Based Systems
IF:
7.6
Papers:
1.2W
Citations:
4.5W

Organization

S
shandong normal university
Scholars:
1.0W
Papers: 8.2K
Citations: 3