Ross Kleiman

According to our database, Ross Kleiman authored at least 7 papers between 2017 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2020

High-Throughput Approach to Modeling Healthcare Costs Using Electronic Healthcare Records.

Alexander K. Taylor, Ross Kleiman, Scott J. Hebbring, Peggy L. Peissig, David Page

CoRR, 2020

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

AUCμ: A Performance Metric for Multi-Class Machine Learning Models.

Ross Kleiman, David Page

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Privacy-Preserving Collaborative Prediction using Random Forests.

Irene Giacomelli, Somesh Jha, Ross Kleiman, David Page, Kyonghwan Yoon

CoRR, 2018

Recursive Feature Elimination by Sensitivity Testing.

Nicholas Sean Escanilla, Lisa Hellerstein, Ross Kleiman, Zhaobin Kuang, James Shull, David Page

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

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

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2017

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

Proceedings of the Summit on Clinical Research Informatics, 2017