Outages that occur in power distribution systems can seriously endanger system operation in different ways. In recent years, with the explosion in data gathering within the smart grid framework, data analytics has emerged as a desirable tool in he...
This research investigates the intersection of applied statistics, machine learning, and healthcare to leverage the quantitative approaches as a means of improving patient quality of life after surgery. Relevant patient data prior to surgery remai...
Data models built for analyzing student data often obfuscate temporal relationships for reasons of simplicity, or to aid in generalization. We present a sequence model that is based on temporal relationships in heterogeneous student data as the ba...
