Jose Guadalupe Hernandez

According to our database, Jose Guadalupe Hernandez authored at least 19 papers between 2019 and 2026.

Collaborative distances:

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

2026

Ablation Study of a Fairness Auditing Agentic System for Bias Mitigation in Early-Onset Colorectal Cancer Detection.

Amalia Ionescu, Jose Guadalupe Hernandez, Jui-Hsuan Chang, Emily F. Wong, Paul Wang, Jason H. Moore, Tiffani J. Bright

CoRR, March, 2026

2025

Evolved SampleWeights for Bias Mitigation: Effectiveness Depends on Optimization Objectives.

Anil Kumar Saini, Jose Guadalupe Hernandez, Emily F. Wong, Debanshi Misra, Jason H. Moore

CoRR, November, 2025

GP and LLMs for Program Synthesis: No Clear Winners.

Jose Guadalupe Hernandez, Anil Kumar Saini, Gabriel Ketron, Jason H. Moore

CoRR, August, 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, May, 2025

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

Comparing PushGP and GPT-4o on Program Synthesis with only Input-Output Examples.

Jose Guadalupe Hernandez, Anil Kumar Saini, Gabriel Ketron, Jason H. Moore

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025

Evaluating the Generalizability of Machine Learning Pipelines When Using Lexicase or Tournament Selection.

Jose Guadalupe Hernandez, Anil Kumar Saini, Ankit Gupta, Jason H. Moore

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025

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

Lexidate: Model Evaluation and Selection with Lexicase.

Jose Guadalupe Hernandez, Anil Kumar Saini, Jason H. Moore

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023

Phylogeny-informed fitness estimation.

Alexander Lalejini, Matthew Andres Moreno, Jose Guadalupe Hernandez, Emily L. Dolson

CoRR, 2023

Phylogeny-Informed Fitness Estimation for Test-Based Parent Selection.

Alexander Lalejini, Matthew Andres Moreno, Jose Guadalupe Hernandez, Emily L. Dolson

Proceedings of the Genetic Programming Theory and Practice XX [GPTP 2023], 2023

2022

A suite of diagnostic metrics for characterizing selection schemes.

Jose Guadalupe Hernandez, Alexander Lalejini, Charles Ofria

CoRR, 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

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Measuring the ability of lexicase selection to find obscure pathways to optimality.

Jose Guadalupe Hernandez, Alexander Lalejini, Charles Ofria

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Phylogenetic diversity predicts future success in evolutionary computation.

Jose Guadalupe Hernandez, Alexander Lalejini, Emily L. Dolson

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021

An Exploration of Exploration: Measuring the Ability of Lexicase Selection to Find Obscure Pathways to Optimality.

Jose Guadalupe Hernandez, Alexander Lalejini, Charles Ofria

Proceedings of the Genetic Programming Theory and Practice XVIII [GPTP 2021]., 2021

What Can Phylogenetic Metrics Tell us About Useful Diversity in Evolutionary Algorithms?

Jose Guadalupe Hernandez, Alexander Lalejini, Emily L. Dolson

Proceedings of the Genetic Programming Theory and Practice XVIII [GPTP 2021]., 2021

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

Proceedings of the Genetic Programming Theory and Practice XVII [GPTP 2019, 2019

Random subsampling improves performance in lexicase selection.

Jose Guadalupe Hernandez, Alexander Lalejini, Emily L. Dolson, Charles Ofria

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019