Papers
Electrocardiogram-based deep learning to predict mortality in paediatric and adult congenital heart disease
European Heart Journal
Deep Learning-Based Electrocardiogram Analysis Predicts Biventricular Dysfunction and Dilation in Congenital Heart Disease
Journal of the American College of Cardiology
Inexact Simplification of Symbolic Regression Expressions with Locality-sensitive Hashing
Proceedings of the Genetic and Evolutionary Computation Conference
Minimum variance threshold for epsilon-lexicase selection
Proceedings of the Genetic and Evolutionary Computation Conference
SRBench++: Principled Benchmarking of Symbolic Regression With Domain-Expert Interpretation
IEEE Transactions on Evolutionary Computation
Pediatric Electrocardiogram-Based Deep Learning to Predict Secundum Atrial Septal Defects
Pediatric Cardiology
Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks
Intrapartum electronic fetal heart rate monitoring to predict acidemia at birth with the use of deep learning
American Journal of Obstetrics and Gynecology
Deep learning-based electrocardiogram analysis to predict biventricular dysfunction and dilation in congenital heart disease
Journal of the American College of Cardiology
Pediatric ECG-Based Deep Learning to Predict Left Ventricular Dysfunction and Remodeling
Circulation
Accuracy of deep learning models in interpreting intrapartum fetal monitoring to predict fetal acidemia
American Journal of Obstetrics and Gynecology
Exploring SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming
SN Computer Science
Effects of Race and Gender Classifications on Atherosclerotic Cardiovascular Disease Risk Estimates for Clinical Decision-Making in a Cohort of Black Transgender Women
Health Equity
Fair admission risk prediction with proportional multicalibration
Proceedings of the Conference on Health, Inference, and Learning
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
Optimizing fairness tradeoffs in machine learning with multiobjective meta-models
Proceedings of the 2023 Genetic and Evolutionary Computation Conference (GECCO)
Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?
Journal of Biomedical Informatics
SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming
Genetic Programming
A comparative study of GP-based and state-of-the-art classifiers on a synthetic machine learning benchmark
Proceedings of the Genetic and Evolutionary Computation Conference Companion
Population Diversity Leads to Short Running Times of Lexicase Selection
Parallel Problem Solving from Nature
PMLB v1.0: an open-source dataset collection for benchmarking machine learning methods
Bioinformatics
Contemporary Symbolic Regression Methods and their Relative Performance
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks
Lexicase Selection
Proceedings of the Genetic and Evolutionary Computation Conference Companion
Controller design by symbolic regression
Mechanical Systems and Signal Processing
Genetic programming approaches to learning fair classifiers
Proceedings of the 2020 Genetic and Evolutionary Computation Conference
Evaluating recommender systems for AI-driven biomedical informatics
Bioinformatics
Learning feature spaces for regression with genetic programming
Genetic Programming and Evolvable Machines
Interpretation of machine learning predictions for patient outcomes in electronic health records
AMIA Annual Symposium
Learning concise representations for regression by evolving networks of trees
International Conference on Learning Representations
A probabilistic and multi-objective analysis of lexicase selection and epsilon-lexicase selection
Evolutionary Computation
Semantic variation operators for multidimensional genetic programming
Proceedings of the Genetic and Evolutionary Computation Conference
Relaxations of lexicase parent selection
Genetic Programming Theory and Practice XV
Relief-based feature selection: Introduction and review
Journal of Biomedical Informatics
An analysis of ϵ-lexicase selection for large-scale many-objective optimization
Proceedings of the Genetic and Evolutionary Computation Conference Companion
Behavioral search drivers and the role of elitism in soft robotics
Artificial Life
Multidimensional genetic programming for multiclass classification
Swarm and Evolutionary Computation
Where are we now? A large benchmark study of recent symbolic regression methods
Proceedings of the 2018 Genetic and Evolutionary Computation Conference
Ensemble representation learning: an analysis of fitness and survival for wrapper-based genetic programming methods
GECCO '17: Proceedings of the 2017 Genetic and Evolutionary Computation Conference
PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison
BioData Mining
A System for Accessible Artificial Intelligence
Genetic Programming Theory and Practice XIV
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
A General Feature Engineering Wrapper for Machine Learning Using \epsilon -Lexicase Survival
Genetic Programming
Genetic Programming Representations for Multi-dimensional Feature Learning in Biomedical Classification
Applications of Evolutionary Computation
Automatic Development and Adaptation of Concise Nonlinear Models for System Identification
Thesis
Epsilon-Lexicase Selection for Regression
Proceedings of the Genetic and Evolutionary Computation Conference 2016
Inference of compact nonlinear dynamic models by epigenetic local search
Engineering Applications of Artificial Intelligence
Automatic identification of wind turbine models using evolutionary multiobjective optimization
Renewable Energy
Gradient-based adaptation of continuous dynamic model structures
International Journal of Systems Science