Random subsampling improves performance in lexicase selection. - Jose Guadalupe Hernandez; Alexander Lalejini; Emily L. Dolson; Charles Ofria (GECCO (Companion), 2019)

Characterizing the Effects of Random Subsampling on Lexicase Selection. - Austin J. Ferguson; Jose Guadalupe Hernandez; Daniel Junghans; Alexander Lalejini; Emily L. Dolson; Charles Ofria (GPTP, 2019)

What Can Phylogenetic Metrics Tell us About Useful Diversity in Evolutionary Algorithms? - Jose Guadalupe Hernandez; Alexander Lalejini; Emily L. Dolson (GPTP, 2021)

An Exploration of Exploration: Measuring the Ability of Lexicase Selection to Find Obscure Pathways to Optimality. - Jose Guadalupe Hernandez; Alexander Lalejini; Charles Ofria (GPTP, 2021)

Phylogenetic diversity predicts future success in evolutionary computation. - Jose Guadalupe Hernandez; Alexander Lalejini; Emily L. Dolson (GECCO Companion, 2022)

Measuring the ability of lexicase selection to find obscure pathways to optimality. - Jose Guadalupe Hernandez; Alexander Lalejini; Charles Ofria (GECCO Companion, 2022)

Untangling phylogenetic diversity's role in evolutionary computation using a suite of diagnostic fitness landscapes. - Shakiba Shahbandegan; Jose Guadalupe Hernandez; Alexander Lalejini; Emily L. Dolson (GECCO Companion, 2022)

A suite of diagnostic metrics for characterizing selection schemes. - Jose Guadalupe Hernandez; Alexander Lalejini; Charles Ofria (CoRR, 2022)

Phylogeny-Informed Fitness Estimation for Test-Based Parent Selection. - Alexander Lalejini; Matthew Andres Moreno; Jose Guadalupe Hernandez; Emily L. Dolson (GPTP, 2023)

Phylogeny-informed fitness estimation. - Alexander Lalejini; Matthew Andres Moreno; Jose Guadalupe Hernandez; Emily L. Dolson (CoRR, 2023)

Lexidate: Model Evaluation and Selection with Lexicase. - Jose Guadalupe Hernandez; Anil Kumar Saini; Jason H. Moore (GECCO Companion, 2024)

Lexicase Selection Parameter Analysis: Varying Population Size and Test Case Redundancy with Diagnostic Metrics. - Jose Guadalupe Hernandez; Anil Kumar Saini; Jason H. Moore (CoRR, 2024)

The tree-based pipeline optimization tool: Tackling biomedical research problems with genetic programming and automated machine learning. - Jose Guadalupe Hernandez; Anil Kumar Saini; Attri Ghosh; Jason H. Moore (Patterns, 2025)

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis. - Jose Guadalupe Hernandez; Attri Ghosh; Philip J. Freda; Yufei Meng; Nicholas Matsumoto; Jason H. Moore (CoRR, 2025)

GP and LLMs for Program Synthesis: No Clear Winners. - Jose Guadalupe Hernandez; Anil Kumar Saini; Gabriel Ketron; Jason H. Moore (CoRR, 2025)