2 papers
cs.LG2025
Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey
Zijun Gao, Haibao Liu, Lingbo Li
Data Augmentation (DA) has become a critical approach in Time Series Classification (TSC), primarily for its capacity to expand training datasets, enhance model robustness, introdu…
cs.AI2024
Comprehensive Review and Empirical Evaluation of Causal Discovery Algorithms for Numerical Data
Wenjin Niu, Zijun Gao, Liyan Song +1
Causal analysis has become an essential component in understanding the underlying causes of phenomena across various fields. Despite its significance, existing literature on causal…