1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.NE2025
A Novel Multi-Objective Evolutionary Algorithm for Counterfactual Generation
Gabriel Doyle-Finch, Alex A. Freitas
Machine learning algorithms that learn black-box predictive models (which cannot be directly interpreted) are increasingly used to make predictions affecting the lives of people. I…
cs.LG2024★ 1 cited
Automated Machine Learning for Positive-Unlabelled Learning
Jack D. Saunders, Alex A. Freitas
Positive-Unlabelled (PU) learning is a growing field of machine learning that aims to learn classifiers from data consisting of labelled positive and unlabelled instances, which ca…
cs.LG2023★ 1 cited
Fair Feature Selection: A Comparison of Multi-Objective Genetic Algorithms
James Brookhouse, Alex Freitas
Machine learning classifiers are widely used to make decisions with a major impact on people's lives (e.g. accepting or denying a loan, hiring decisions, etc). In such applications…