Rachael Stolzenberg-Solomon

According to our database, Rachael Stolzenberg-Solomon authored at least 2 papers between 2020 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

LCS-DIVE: An Automated Rule-based Machine Learning Visualization Pipeline for Characterizing Complex Associations in Classification.

Robert Zhang, Rachael Stolzenberg-Solomon, Shannon M. Lynch, Ryan J. Urbanowicz

CoRR, 2021

2020

A Rigorous Machine Learning Analysis Pipeline for Biomedical Binary Classification: Application in Pancreatic Cancer Nested Case-control Studies with Implications for Bias Assessments.

Ryan J. Urbanowicz, Pranshu Suri, Yuhan Cui, Jason H. Moore, Karen Ruth, Rachael Stolzenberg-Solomon, Shannon M. Lynch

CoRR, 2020