Contrastive Representation-Guided Genetic Minority Oversampling for Imbalanced Time-Series Classification
Real-world time-series classification tasks often exhibit class imbalance, which can be extremely severe in some applications. To avoid training biased classifiers on imbalanced data, sampling is one of the most popular data pre-processing techniques because of its classifier-agnostic nature. However, due to the comple...