Improving Irregularly Sampled Time Series Learning with Dense Descriptors of Time

Rafael T. Sousa, Lucas A. Pereira, Anderson S. Soares

Supervised learning with irregularly sampled time series have been a challenge to Machine Learning methods due to the obstacle of dealing with irregular time intervals. Some papers…