AI Campus is a collaborative, project-based-learning initiative designed to equip participants with the confidence and skills needed to apply artificial intelligence (AI) methods in their career or research. It brings together participants of diverse backgrounds with top AI experts from around the country to address challenging scientific problems using AI and machine learning (ML). This site provides information on the National AI Campus Program as well as the ‘medicine-focused’ AI Campus Program at the Cedars Sinai Medical Center. Included are training project resources focuses on students getting experience working with AI/ML tools on biomedical problems.
View ResourceHEROS (Heuristic Evolutionary Rule Optimization System)
December 11, 2025
by
Elizabeth
HEROS (Heuristic Evolutionary Rule Optimization System) is an evolutionary rule-based machine learning (ERBML) algorithm framework for supervised learning. This scikit-learn compatible machine learning modeling package is designed to agnostically model simple/complex and/or clean/noisy problems (without hyperparameter optimization) and yield maximally human interpretable models. HEROS adopts a two-phase approach separating rule optimization, and rule-set (i.e. model) optimization, each with distinct multi-objective Pareto-front-based optimization. Rules are optimized based on maximizing rule-accuracy and instance coverage using a Pareto-inspired rule fitness function. Differently, models are optimized based on maximizing balanced accuracy and minimizing rule-set size using an NSGA-II-inspired evolutionary algorithm.
View ResourceRule-Based Machine Learning
March 5, 2023
by
Ray
A collection of educational videos focusing on rule-based machine learning and/or the more specific family of ‘learning classifier system’ machine learning algorithms. These algorithms are uniquely able to detect, model, and characterize complex multivariate associations in data while yielding much more interpretable models.
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