Author

Ryan J. Urbanowicz

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Book Open access Jul 2026

Audience-Customized Translation of Rule-Based Evidence with Large Language Models Across Multiplexer Benchmarks

The results suggest that constrained LLM translation of rules for natural language prediction explanations is feasible, while highlighting the importance of carefully designing the LLM prompts and evidence input from the ERBML.

H. Bandhey, Gabriel Lipschutz-Villa, K. Dinh et al. · GECCO Companion · 0 citations

#machine learning Preprint Aug 2026

Advancing Interaction-Sensitive Feature Selection: Novel Relief-Based Algorithms, Expanded Comparisons, and Recommendations for Biomedical Data Mining

The newly introduced RBAs were among the strongest performing, and by robustly retaining both main effects and 2-way epistatic interactions, these algorithms preserve predictive signals for downstream modeling.

Kia Kazemi-Nia, H. Bandhey, P. Freda et al. · 0 citations