168 citations · 768 across the 62 of their papers we have counts for
3 papers · 2 filters
Global forensic geolocation with deep neural networks
Neal S. Grantham, Brian J. Reich, Eric B. Laber +6
An important problem in forensic analyses is identifying the provenance of materials at a crime scene, such as biological material on a piece of clothing. This procedure, known as…
Nearest-Neighbor Neural Networks for Geostatistics
Haoyu Wang, Yawen Guan, Brian J Reich
Kriging is the predominant method used for spatial prediction, but relies on the assumption that predictions are linear combinations of the observations. Kriging often also relies…
Deep Distribution Regression
Rui Li, Howard D. Bondell, Brian J. Reich
Due to their flexibility and predictive performance, machine-learning based regression methods have become an important tool for predictive modeling and forecasting. However, most…