HMCKRAutoEncoder: An Interpretable Deep Learning Framework for Time Series Analysis

Analysis of time series data has long been a problem of great interest in a wide range of fields, such as medical surveillance, gene expression analysis, and economic forecasting. Recently, there has been a renewed interest in time series analysis with deep learning, since deep learning models can achieve state-of-the-art results on various tasks. However, deep learning models such as DNNs have a ...