2 papers
cs.LG2020
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…
cs.LG2018
Predicting Diabetes Disease Evolution Using Financial Records and Recurrent Neural Networks
Rafael T. Sousa, Lucas A. Pereira, Anderson S. Soares
Managing patients with chronic diseases is a major and growing healthcare challenge in several countries. A chronic condition, such as diabetes, is an illness that lasts a long tim…