Wanqing Zhuang

Joint-Label Learning by Dual Augmentation for Time Series Classification

Recently, deep neural networks (DNNs) have achieved excellent performance on time series classification. However, DNNs require large amounts of labeled data for supervised training. Although data augmentation can alleviate this problem, the standard approach assigns the same label to all augmented s…