Randal S. Olson

According to our database, Randal S. Olson authored at least 39 papers between 2012 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

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, Elisabetta Manduchi

Artif. Life, 2020

2019

Automated discovery of test statistics using genetic programming.

Jason H. Moore, Randal S. Olson, Yong Chen, Moshe Sipper

Genet. Program. Evolvable Mach., 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

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Discovering test statistics using genetic programming.

Jason H. Moore, Randal S. Olson, Yong Chen, Moshe Sipper

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

TPOT: A Tree-Based Pipeline Optimization Tool for Automating Machine Learning.

Randal S. Olson, Jason H. Moore

Proceedings of the Automated Machine Learning - Methods, Systems, Challenges, 2019

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

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

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

Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 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

Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 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

Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

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, Elisabetta Manduchi

Proceedings of the 2018 Conference on Artificial Life, 2018

2017

Benchmarking Relief-Based Feature Selection Methods.

Ryan J. Urbanowicz, Randal S. Olson, Peter Schmitt, Melissa Meeker, 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

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

Evolutionary computation: the next major transition of artificial intelligence?

Moshe Sipper, Randal S. Olson, Jason H. Moore

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

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

Layered TPOT: Speeding up Tree-based Pipeline Optimization.

Pieter Gijsbers, Joaquin Vanschoren, Randal S. Olson

Proceedings of the International Workshop on Automatic Selection, 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

Proceedings of the Genetic Programming Theory and Practice XV, 2017

Toward the automated analysis of complex diseases in genome-wide association studies using genetic programming.

Andrew Sohn, Randal S. Olson, Jason H. Moore

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

Evolution of Swarming Behavior Is Shaped by How Predators Attack.

Randal S. Olson, David B. Knoester, Christoph Adami

Artif. Life, 2016

Pareto Inspired Multi-objective Rule Fitness for Noise-Adaptive Rule-Based Machine Learning.

Ryan J. Urbanowicz, Randal S. Olson, Jason H. Moore

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Evolution of Active Categorical Image Classification via Saccadic Eye Movement.

Randal S. Olson, Jason H. Moore, Christoph Adami

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

TPOT: A Tree-based Pipeline Optimization Tool for Automating Machine Learning.

Randal S. Olson, Jason H. Moore

Proceedings of the 2016 Workshop on Automatic Machine Learning, 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

Proceedings of the Genetic Programming Theory and Practice XIV, 2016

Pareto Inspired Multi-objective Rule Fitness for Adaptive Rule-based Machine Learning.

Ryan J. Urbanowicz, Randal S. Olson, Jason H. Moore

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science.

Randal S. Olson, Nathan Bartley, Ryan J. Urbanowicz, Jason H. Moore

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 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

Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016

Orthogonally Evolved AI to Improve Difficulty Adjustment in Video Games.

Arend Hintze, Randal S. Olson, Joel Lehman

Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016

Flies as Ship Captains? Digital Evolution Unravels Selective Pressures to Avoid Collision in Drosophila.

Randal S. Olson, Christoph Adami, Ali Tehrani-Saleh

Proceedings of the Fifteenth International Conference on the Simulation and Synthesis of Living Systems, 2016

Exploring the coevolution of predator and prey morphology and behavior.

Christoph Adami, Jason H. Moore, Fred C. Dyer, Arend Hintze, Randal S. Olson

Proceedings of the Fifteenth International Conference on the Simulation and Synthesis of Living Systems, 2016

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

Evolving an optimal group size in groups of prey under predation.

Patrick B. Haley, Randal S. Olson, Fred C. Dyer, Christoph Adami

Proceedings of the Thirteenth European Conference Artificial Life, 2015

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

Exploring Conditions That Select for the Evolution of Cooperative Group Foraging.

Patrick B. Haley, Randal S. Olson, Fred C. Dyer, Christoph Adami

Proceedings of the Fourteenth International Conference on the Simulation and Synthesis of Living Systems, 2014

2013

Risk aversion as an evolutionary adaptation.

Arend Hintze, Randal S. Olson, Christoph Adami, Ralph Hertwig

CoRR, 2013

Critical interplay between density-dependent predation and evolution of the selfish herd.

Randal S. Olson, David B. Knoester, Christoph Adami

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

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

Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, 2013

2012

Predator confusion is sufficient to evolve swarming behavior.

Randal S. Olson, Arend Hintze, Fred C. Dyer, David B. Knoester, Christoph Adami

CoRR, 2012