2023
Representation Learning of Clinical Multivariate Time Series with Random Filter Banks
ICASSP 2023accepted
Machine learning and deep learning models for time series classification generally require a large volume of data to achieve superior performance. However, due to the lack of a sufficient amount of time series in many real-world applications, particularly health care, training these models is more c…