6 papers
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 +4
Artificial intelligence (AI) is increasingly used in clinical settings, yet limited oversight and domain expertise can allow algorithmic bias and safety risks to persist. This stud…
Evolved Sample Weights for Bias Mitigation: Effectiveness Depends on the Fairness Objective
Anil K. Saini, Jose Guadalupe Hernandez, Emily F. Wong +3
Machine learning models trained on real-world data may inadvertently make biased predictions that negatively impact marginalized communities. Reweighting, which assigns a weight to…
GP and LLMs for Program Synthesis: No Clear Winners
Jose Guadalupe Hernandez, Anil Kumar Saini, Gabriel Ketron +1
Genetic programming (GP) and large language models (LLMs) differ in how program specifications are provided: GP uses input-output examples, and LLMs use text descriptions. In this…
StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis
Jose Guadalupe Hernandez, Attri Ghosh, Philip J. Freda +3
We present the Star-Based Automated Single-locus and Epistasis analysis tool - Genetic Programming (StarBASE-GP), an automated framework for discovering meaningful genetic variants…
Lexicase Selection Parameter Analysis: Varying Population Size and Test Case Redundancy with Diagnostic Metrics
Jose Guadalupe Hernandez, Anil Kumar Saini, Jason H. Moore
Lexicase selection is a successful parent selection method in genetic programming that has outperformed other methods across multiple benchmark suites. Unlike other selection metho…
Lexidate: Model Evaluation and Selection with Lexicase
Jose Guadalupe Hernandez, Anil Kumar Saini, Jason H. Moore
Automated machine learning streamlines the task of finding effective machine learning pipelines by automating model training, evaluation, and selection. Traditional evaluation stra…