4 papers
Heterogeneous Relationships of Subjects and Shapelets for Semi-supervised Multivariate Series Classification
Mingsen Du, Meng Chen, Yongjian Li +2
Multivariate time series (MTS) classification is widely applied in fields such as industry, healthcare, and finance, aiming to extract key features from complex time series data fo…
Contrast Similarity-Aware Dual-Pathway Mamba for Multivariate Time Series Node Classification
Mingsen Du, Meng Chen, Yongjian Li +4
Multivariate time series (MTS) data is generated through multiple sensors across various domains such as engineering application, health monitoring, and the internet of things, cha…
Causal and Local Correlations Based Network for Multivariate Time Series Classification
Mingsen Du, Yanxuan Wei, Xiangwei Zheng +1
Recently, time series classification has attracted the attention of a large number of researchers, and hundreds of methods have been proposed. However, these methods often ignore t…
ST-Tree with Interpretability for Multivariate Time Series Classification
Mingsen Du, Yanxuan Wei, Yingxia Tang +3
Multivariate time series classification is of great importance in practical applications and is a challenging task. However, deep neural network models such as Transformers exhibit…