Self-Supervised Learning-Based Time Series Classification via Hierarchical Sparse Convolutional Masked-Autoencoder
In recent years, the use of time series analysis has become widespread, prompting researchers to explore methods to improve classification.Time series self-supervised learning has emerged as a significant area of study, aiming to uncover patterns in unlabeled data for richer information.Contrastive self-supervised learning, particularly, has gained