SCCS for Detection of Differences in Brand and Generic Adverse Drug Events. - Jonathan C. Badger; Eric R. LaRose; Ross Kleiman; Richard L. Berg; James G. Linneman; Richard Hansen; David Page; Peggy L. Peissig (CRI, 2017)

Machine Learning-as-a-Service and Its Application to Medical Informatics. - Ahmad Pahlavan Tafti; Eric LaRose; Jonathan C. Badger; Ross Kleiman; Peggy L. Peissig (MLDM, 2017)

Recursive Feature Elimination by Sensitivity Testing. - Nicholas Sean Escanilla; Lisa Hellerstein; Ross Kleiman; Zhaobin Kuang; James Shull; David Page (ICMLA, 2018)

Privacy-Preserving Collaborative Prediction using Random Forests. - Irene Giacomelli; Somesh Jha; Ross Kleiman; David Page; Kyonghwan Yoon (CoRR, 2018)

AUCμ: A Performance Metric for Multi-Class Machine Learning Models. - Ross Kleiman; David Page (ICML, 2019)

High-Throughput Machine Learning from Electronic Health Records. - Ross S. Kleiman; Paul S. Bennett; Peggy L. Peissig; Richard L. Berg; Zhaobin Kuang; Scott J. Hebbring; Michael D. Caldwell; David Page (CoRR, 2019)

High-Throughput Approach to Modeling Healthcare Costs Using Electronic Healthcare Records. - Alexander K. Taylor 001; Ross Kleiman; Scott J. Hebbring; Peggy L. Peissig; David Page (CoRR, 2020)