Publications
By date | By topic
Optimizing fairness tradeoffs in machine learning with multiobjective meta-models
Genetic and Evolutionary Computation Conference (GECCO)
Fair admission risk prediction with proportional multicalibration
Conference on Health, Inference, and Learning
Proceedings of Machine Learning Research
A flexible symbolic regression method for constructing interpretable clinical prediction models
npj Digital Medicine
Translating intersectionality to fair machine learning in health sciences
Nature Machine Intelligence
Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition
Preprint
Population Diversity Leads to Short Running Times of Lexicase Selection
Parallel Problem Solving from Nature (PPSN)
A Comparative Study of GP-based and State-of-the-art Classifiers on a Synthetic Machine Learning Benchmark
Genetic and Evolutionary Computation Conference (GECCO)
SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming
European Conference on Genetic Programming (EuroGP)
Lecture Notes in Computer Science
Informative Missingness: What can we learn from patterns in missing laboratory data in the electronic health record?
Journal of Biomedical Informatics
PMLB v1. 0: an open-source dataset collection for benchmarking machine learning methods
Bioinformatics
Contemporary Symbolic Regression Methods and their Relative Performance
Neurips Track on Datasets and Benchmarks
Controller design by symbolic regression
Mechanical Systems and Signal Processing
Learning feature spaces for regression with genetic programming
Genetic Programming and Evolvable Machines (GPEM)
Evaluating recommender systems for AI-driven biomedical informatics
Bioinformatics
Genetic programming approaches to learning fair classifiers
Genetic and Evolutionary Computation Conference (GECCO)
Interpretation of machine learning predictions for patient outcomes in electronic health records
AMIA Annual Symposium
Machine Learning to Predict Toxicity in Head and Neck Cancer Patients Treated with Definitive Chemoradiation
International Journal of Radiation Oncology • Biology • Physics
A probabilistic and multi-objective analysis of lexicase selection and epsilon-lexicase selection
Evolutionary Computation Journal
Semantic variation operators for multidimensional genetic programming
Genetic and Evolutionary Computation Conference (GECCO)
Learning concise representations for regression by evolving networks of trees
International Conference on Learning Representations (ICLR)
Multidimensional genetic programming for multiclass classification
Swarm and Evolutionary Computation
Relief-based feature selection: Introduction and review
Journal of Biomedical Informatics
Relaxations of lexicase parent selection
Genetic Programming Theory and Practice XV
An Analysis of epsilon-lexicase Selection for Large-scale Many-objective Optimization
Genetic and Evolutionary Computation Conference (GECCO)
Where are we now? A large benchmark study of recent symbolic regression methods
Genetic and Evolutionary Computation Conference (GECCO)
Behavioral search drivers and the role of elitism in soft robotics
Artificial Life
A System for Accessible Artificial Intelligence
Genetic Programming Theory and Practice XIV.
PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison
BioData Mining
Data-driven Advice for Applying Machine Learning to Bioinformatics Problems
Pacific Symposium on Biocomputing (PSB)
Restructuring Controllers to Accommodate Plant Nonlinearities
Journal of Dynamic Systems, Measurement, and Control
Ensemble representation learning: An analysis of fitness and survival for wrapper-based genetic programming methods
Genetic and Evolutionary Computation Conference (GECCO)
Genetic Programming Representations for Multi-dimensional Feature Learning in Biomedical Classification
Evo*: European Conference on the Applications of Evolutionary Computation
Lecture Notes in Computer Science
A general feature engineering wrapper for machine learning using ϵ-lexicase survival
European Conference on Genetic Programming (EuroGP)
Inference of compact nonlinear dynamic models by epigenetic local search
Engineering Applications of Artificial Intelligence