William La Cava's Projects
Simple Simultaneous Ensemble Learning in Genetic Programming
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Automated Machine Learning with scikit-learn
Projections of COVID-19, in standardized format
The Push programming language and the PushGP genetic programming system implemented in C++
my cv
Implementation of the differential CGP (Cartesian Genetic Programming)
Source code for deep symbolic regression.
Automated deep neural network design via genetic programming
a simple distance-based classifier.
Evaporative Cooling with ReliefF and Random Jungle
MWE for using the Eigen library in CUDA kernels
linear genetic programming system for symbolic regression and classification.
python-wrapped version of ellen, a linear genetic programming system for symbolic regression and classification.
a many objective optimization algorithm based on lexicase selection using the PISA framework.
epsilon lexicase journal paper
A Python Soft Robot Simulator Using Voxelyze
Genetic programming approaches to learning fair classifiers
This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.
a feature engineering wrapper for sklearn
code and data for evaluation of FEW configurations
Fast Function Extraction
fairness-oriented multi-objective optimization
Code to reproduce the paper "Semantic variation operators for multidimensional genetic programming"
library for fair auditing and learning of classifiers with respect to rich subgroup fairness.
Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP
Supporting information for the paper "Learning feature spaces for regression with genetic programming"