Predator confusion is sufficient to evolve swarming behavior. - Randal S. Olson; Arend Hintze; Fred C. Dyer; David B. Knoester; Christoph Adami (CoRR, 2012)

Evolved digital ecosystems: Dynamic steady state, not optimal fixed point. - Randal S. Olson; Masoud Mirmomeni; Tim Brom; Eric Bruger; Arend Hintze; David B. Knoester; Christoph Adami (ECAL, 2013)

Critical interplay between density-dependent predation and evolution of the selfish herd. - Randal S. Olson; David B. Knoester; Christoph Adami (GECCO, 2013)

Risk aversion as an evolutionary adaptation. - Arend Hintze; Randal S. Olson; Christoph Adami; Ralph Hertwig (CoRR, 2013)

Exploring Conditions That Select for the Evolution of Cooperative Group Foraging. - Patrick B. Haley; Randal S. Olson; Fred C. Dyer; Christoph Adami (ALIFE, 2014)

Exploring the evolution of a trade-off between vigilance and foraging in group-living organisms. - Randal S. Olson; Patrick B. Haley; Fred C. Dyer; Christoph Adami (CoRR, 2014)

Evolving an optimal group size in groups of prey under predation. - Patrick B. Haley; Randal S. Olson; Fred C. Dyer; Christoph Adami (ECAL, 2015)

Navigating the massive world of reddit: using backbone networks to map user interests in social media. - Randal S. Olson; Zachary P. Neal (PeerJ Comput. Sci., 2015)

Exploring the coevolution of predator and prey morphology and behavior. - Christoph Adami; Jason H. Moore; Fred C. Dyer; Arend Hintze; Randal S. Olson (ALIFE, 2016)

Flies as Ship Captains? Digital Evolution Unravels Selective Pressures to Avoid Collision in Drosophila. - Randal S. Olson; Christoph Adami; Ali Tehrani-Saleh (ALIFE, 2016)

Orthogonally Evolved AI to Improve Difficulty Adjustment in Video Games. - Arend Hintze; Randal S. Olson; Joel Lehman (EvoApplications (1), 2016)

Automating Biomedical Data Science Through Tree-Based Pipeline Optimization. - Randal S. Olson; Ryan J. Urbanowicz; Peter C. Andrews; Nicole A. Lavender; La Creis Kidd; Jason H. Moore (EvoApplications (1), 2016)

Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science. - Randal S. Olson; Nathan Bartley; Ryan J. Urbanowicz; Jason H. Moore (GECCO, 2016)

Pareto Inspired Multi-objective Rule Fitness for Adaptive Rule-based Machine Learning. - Ryan J. Urbanowicz; Randal S. Olson; Jason H. Moore (GECCO (Companion), 2016)

Identifying and Harnessing the Building Blocks of Machine Learning Pipelines for Sensible Initialization of a Data Science Automation Tool. - Randal S. Olson; Jason H. Moore (GPTP, 2016)

TPOT: A Tree-based Pipeline Optimization Tool for Automating Machine Learning. - Randal S. Olson; Jason H. Moore (AutoML@ICML, 2016)

Evolution of Active Categorical Image Classification via Saccadic Eye Movement. - Randal S. Olson; Jason H. Moore; Christoph Adami (PPSN, 2016)

Pareto Inspired Multi-objective Rule Fitness for Noise-Adaptive Rule-Based Machine Learning. - Ryan J. Urbanowicz; Randal S. Olson; Jason H. Moore (PPSN, 2016)

Evolution of Swarming Behavior Is Shaped by How Predators Attack. - Randal S. Olson; David B. Knoester; Christoph Adami (Artif. Life, 2016)

Toward the automated analysis of complex diseases in genome-wide association studies using genetic programming. - Andrew Sohn; Randal S. Olson; Jason H. Moore (GECCO, 2017)

A System for Accessible Artificial Intelligence. - Randal S. Olson; Moshe Sipper; William G. La Cava; Sharon Tartarone; Steven Vitale; Weixuan Fu; Patryk Orzechowski; Ryan J. Urbanowicz; John H. Holmes; Jason H. Moore (GPTP, 2017)

Layered TPOT: Speeding up Tree-based Pipeline Optimization. - Pieter Gijsbers; Joaquin Vanschoren; Randal S. Olson (AutoML@PKDD/ECML, 2017)

Grid-based stochastic search for hierarchical gene-gene interactions in population-based genetic studies of common human diseases. - Jason H. Moore; Peter C. Andrews; Randal S. Olson; Sarah E. Carlson; Curt Larock; Mario J. Bulhoes; James P. O'Connor; Ellen M. Greytak; Steven Armentrout (BioData Min., 2017)

PMLB: a large benchmark suite for machine learning evaluation and comparison. - Randal S. Olson; William G. La Cava; Patryk Orzechowski; Ryan J. Urbanowicz; Jason H. Moore (BioData Min., 2017)

Evolutionary computation: the next major transition of artificial intelligence? - Moshe Sipper; Randal S. Olson; Jason H. Moore (BioData Min., 2017)

A System for Accessible Artificial Intelligence. - Randal S. Olson; Moshe Sipper; William G. La Cava; Sharon Tartarone; Steven Vitale; Weixuan Fu; John H. Holmes; Jason H. Moore (CoRR, 2017)

Markov Brains: A Technical Introduction. - Arend Hintze; Jeffrey A. Edlund; Randal S. Olson; David B. Knoester; Jory Schossau; Larissa Albantakis; Ali Tehrani-Saleh; Peter D. Kvam; Leigh Sheneman; Heather Goldsby; Clifford Bohm; Christoph Adami (CoRR, 2017)

Benchmarking Relief-Based Feature Selection Methods. - Ryan J. Urbanowicz; Randal S. Olson; Peter Schmitt; Melissa Meeker; Jason H. Moore (CoRR, 2017)

How computational thought experiments can improve our understanding of the genetic architecture of common human diseases. - Jason H. Moore; Randal S. Olson; Peter Schmitt; Yong Chen 016; Elisabetta Manduchi (ALIFE, 2018)

A heuristic method for simulating open-data of arbitrary complexity that can be used to compare and evaluate machine learning methods. - Jason H. Moore; Maksim Shestov; Peter Schmitt; Randal S. Olson (PSB, 2018)

Data-driven advice for applying machine learning to bioinformatics problems. - Randal S. Olson; William G. La Cava; Zairah Mustahsan; Akshay Varik; Jason H. Moore (PSB, 2018)

Considerations for automated machine learning in clinical metabolic profiling: Altered homocysteine plasma concentration associated with metformin exposure. - Alena Orlenko; Jason H. Moore; Patryk Orzechowski; Randal S. Olson; Junmei Cairns; Pedro J. Caraballo; Richard M. Weinshilboum; Liewei Wang; Matthew K. Breitenstein (PSB, 2018)

Relief-based feature selection: Introduction and review. - Ryan J. Urbanowicz; Melissa Meeker; William G. La Cava; Randal S. Olson; Jason H. Moore (J. Biomed. Informatics, 2018)

Benchmarking relief-based feature selection methods for bioinformatics data mining. - Ryan J. Urbanowicz; Randal S. Olson; Peter Schmitt; Melissa Meeker; Jason H. Moore (J. Biomed. Informatics, 2018)

TPOT: A Tree-Based Pipeline Optimization Tool for Automating Machine Learning. - Randal S. Olson; Jason H. Moore (Automated Machine Learning, 2019)

Discovering test statistics using genetic programming. - Jason H. Moore; Randal S. Olson; Yong Chen 016; Moshe Sipper (GECCO (Companion), 2019)

Using Machine Learning on Home Health Care Assessments to Predict Fall Risk. - Yancy Lo; Selah F. Lynch; Ryan J. Urbanowicz; Randal S. Olson; Ashley Z. Ritter; Christina R. Whitehouse; Melissa O'Connor; Susan K. Keim; Margaret V. McDonald; Jason H. Moore; Kathryn H. Bowles (MedInfo, 2019)

Automated discovery of test statistics using genetic programming. - Jason H. Moore; Randal S. Olson; Yong Chen 016; Moshe Sipper (Genet. Program. Evolvable Mach., 2019)

How Computational Experiments Can Improve Our Understanding of the Genetic Architecture of Common Human Diseases. - Jason H. Moore; Randal S. Olson; Peter Schmitt; Yong Chen 016; Elisabetta Manduchi (Artif. Life, 2020)