2 papers
cs.LG2026
FETERS: Few-Shot Early Time-Series Classification via Effective Ratio Selection
Chen-An Tai, Yujia Wu, Vincent S. Tseng
Early time-series classification (ETSC) aims to make accurate predictions from partially observed time series as early as possible. Although various stopping mechanisms and feature…
cs.LG2024
CAAP: Class-Dependent Automatic Data Augmentation Based On Adaptive Policies For Time Series
Tien-Yu Chang, Hao Dai, Vincent S. Tseng
Data Augmentation is a common technique used to enhance the performance of deep learning models by expanding the training dataset. Automatic Data Augmentation (ADA) methods are get…