World Spatiotemporal Analytics and Mapping Project (WSTAMP): Discovering, Exploring, and Mapping Spatiotemporal Patterns across the World’s Largest Open Source Geographic Data Sets Conference Paper July, 2015
Position Paper: Applying Machine Learning to Software Analysis to Achieve Trusted, Repeatable Scientific Computing... Conference Paper June, 2015
Baseline Face Detection, Head Pose Estimation, and Coarse Direction Detection for Facial Data in the SHRP2 Naturalistic Drivi... Conference Paper June, 2015
Demand Charge Reduction, Power Factor Control, and Other Functions Using Secondary-Use Batteries Conference Paper June, 2015
Big Data and Deep data in scanning and electron microscopies: functionality from multidimensional data sets Journal May, 2015
