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)

LCS-DIVE: An Automated Rule-based Machine Learning Visualization Pipeline for Characterizing Complex Associations in Classification. - Robert Zhang 004; Rachael Stolzenberg-Solomon; Shannon M. Lynch; Ryan J. Urbanowicz (CoRR, 2021)