TimeAutoML: Autonomous Representation Learning for Multivariate Irregularly Sampled Time Series

no code implementations • 4 Oct 2020 • Yang Jiao, Kai Yang, Shaoyu Dou, Pan Luo, Sijia Liu, Dongjin Song

To this end, we propose an autonomous representation learning approach for multivariate time series (TimeAutoML) with irregular sampling rates and variable lengths.

Anomaly Detection Clustering +4