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02/01/2023
Faster Convergence with Lexicase Selection in Tree-based Automated Machine Learning
In many evolutionary computation systems, parent selection methods can a...
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12/06/2022
Benchmarking AutoML algorithms on a collection of binary problems
Automated machine learning (AutoML) algorithms have grown in popularity ...
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10/24/2022
Applying Autonomous Hybrid Agent-based Computing to Difficult Optimization Problems
Evolutionary multi-agent systems (EMASs) are very good at dealing with d...
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06/30/2022
Automatically Balancing Model Accuracy and Complexity using Solution and Fitness Evolution (SAFE)
When seeking a predictive model in biomedical data, one often has more t...
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06/25/2022
Solution and Fitness Evolution (SAFE): A Study of Multiobjective Problems
We have recently presented SAFE – Solution And Fitness Evolution – a com...
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06/25/2022
Solution and Fitness Evolution (SAFE): Coevolving Solutions and Their Objective Functions
We recently highlighted a fundamental problem recognized to confound alg...
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06/24/2022
Symbolic-Regression Boosting
Modifying standard gradient boosting by replacing the embedded weak lear...
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07/29/2021
Contemporary Symbolic Regression Methods and their Relative Performance
Many promising approaches to symbolic regression have been presented in ...
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07/22/2021
Benchmarking AutoML Frameworks for Disease Prediction Using Medical Claims
We ascertain and compare the performances of AutoML tools on large, high...
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07/14/2021
Generative and reproducible benchmarks for comprehensive evaluation of machine learning classifiers
Understanding the strengths and weaknesses of machine learning (ML) algo...
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05/03/2021
EBIC.JL – an Efficient Implementation of Evolutionary Biclustering Algorithm in Julia
Biclustering is a data mining technique which searches for local pattern...
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11/30/2020
PMLB v1.0: An open source dataset collection for benchmarking machine learning methods
Motivation: Novel machine learning and statistical modeling studies rely...
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08/28/2020
A Rigorous Machine Learning Analysis Pipeline for Biomedical Binary Classification: Application in Pancreatic Cancer Nested Case-control Studies with Implications for Bias Asse
Machine learning (ML) offers a collection of powerful approaches for det...
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07/07/2020
Benchmarking in Optimization: Best Practice and Open Issues
This survey compiles ideas and recommendations from more than a dozen re...
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06/11/2020
Is deep learning necessary for simple classification tasks?
Automated machine learning (AutoML) and deep learning (DL) are two cutti...
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04/28/2020
Genetic programming approaches to learning fair classifiers
Society has come to rely on algorithms like classifiers for important de...
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01/30/2020
SGP-DT: Semantic Genetic Programming Based on Dynamic Targets
Semantic GP is a promising approach that introduces semantic awareness d...
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05/22/2019
Evaluating recommender systems for AI-driven data science
We present a free and open-source platform to allow researchers to easil...
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04/18/2019
Semantic variation operators for multidimensional genetic programming
Multidimensional genetic programming represents candidate solutions as s...
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03/14/2019
Interpretation of machine learning predictions for patient outcomes in electronic health records
Electronic health records are an increasingly important resource for und...
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01/30/2019
Electronic Health Record Phenotyping with Internally Assessable Performance (PhIAP) using Anchor-Positive and Unlabeled Patients
Building phenotype models using electronic health record (EHR) data conv...
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07/26/2018
EBIC: an open source software for high-dimensional and big data biclustering analyses
Motivation: In this paper we present the latest release of EBIC, a next-...
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07/03/2018
Stochastic optimization approaches to learning concise representations
We propose and study a method for learning interpretable features via st...
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07/03/2018
Learning concise representations for regression by evolving networks of trees
We propose and study a method for learning interpretable representations...
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06/07/2018
Gamorithm
Examining games from a fresh perspective we present the idea of game-ins...
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04/25/2018
Where are we now? A large benchmark study of recent symbolic regression methods
In this paper we provide a broad benchmarking of recent genetic programm...
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01/09/2018
EBIC: an artificial intelligence-based parallel biclustering algorithm for pattern discovery
In this paper a novel biclustering algorithm based on artificial intelli...
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11/22/2017
Relief-Based Feature Selection: Introduction and Review
Feature selection plays a critical role in data mining, driven by increa...
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10/09/2017
Considerations of automated machine learning in clinical metabolic profiling: Altered homocysteine plasma concentration associated with metformin exposure
With the maturation of metabolomics science and proliferation of biobank...
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09/15/2017
ε-Lexicase selection: a probabilistic and multi-objective analysis of lexicase selection in continuous domains
Lexicase selection is a parent selection method that considers training ...
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08/08/2017
Data-driven Advice for Applying Machine Learning to Bioinformatics Problems
As the bioinformatics field grows, it must keep pace not only with new d...
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06/13/2017
Investigating the Parameter Space of Evolutionary Algorithms
The practice of evolutionary algorithms involves the tuning of many para...
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05/01/2017
A System for Accessible Artificial Intelligence
While artificial intelligence (AI) has become widespread, many commercia...
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03/20/2017
Ensemble representation learning: an analysis of fitness and survival for wrapper-based genetic programming methods
Recently we proposed a general, ensemble-based feature engineering wrapp...
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02/06/2017
Toward the automated analysis of complex diseases in genome-wide association studies using genetic programming
Machine learning has been gaining traction in recent years to meet the d...
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07/29/2016
Identifying and Harnessing the Building Blocks of Machine Learning Pipelines for Sensible Initialization of a Data Science Automation Tool
As data science continues to grow in popularity, there will be an increa...
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03/27/2016
Evolution of active categorical image classification via saccadic eye movement
Pattern recognition and classification is a central concern for modern i...
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03/20/2016
Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science
As the field of data science continues to grow, there will be an ever-in...
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02/29/2016
Exploring the coevolution of predator and prey morphology and behavior
A common idiom in biology education states, "Eyes in the front, the anim...
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01/28/2016