Scikit-FIBERS: An 'OR'-Rule Discovery Evolutionary Algorithm for Risk Stratification in Right-Censored Survival Analyses. - Ryan J. Urbanowicz; Harsh Bandhey; Malek Kamoun; Nolan Fogarty; Yi-An Hsieh (GECCO Companion, 2023)

STREAMLINE: An Automated Machine Learning Pipeline for Biomedicine Applied to Examine the Utility of Photography-Based Phenotypes for OSA Prediction Across International Sleep Centers. - Ryan J. Urbanowicz; Harsh Bandhey; Brendan T. Keenan; Greg Maislin; Sy Hwang; Danielle L. Mowery; Shannon M. Lynch; Diego R. Mazzotti; Fang Han; Qing Yun Li; Thomas Penzel; Sergio Tufik; et al. (CoRR, 2023)

Evolutionary Feature-Binning with Adaptive Burden Thresholding for Biomedical Risk Stratification. - Harsh Bandhey; Sphia Sadek; Malek Kamoun; Ryan J. Urbanowicz (EvoApplications@EvoStar, 2024)

Survival-LCS: A Rule-Based Machine Learning Approach to Survival Analysis. - Alexa A. Woodward; Harsh Bandhey; Jason H. Moore; Ryan J. Urbanowicz (GECCO, 2024)

Rule-based Machine Learning: Separating Rule and Rule-Set Pareto-Optimization for Interpretable Noise-Agnostic Modeling. - Gabriel Lipschutz-Villa; Harsh Bandhey; Ruonan Yin; Malek Kamoun; Ryan J. Urbanowicz (GECCO, 2025)