Randal S. Olson

Publication Activity (10 Years)

Years Active: 2012-2020
Publications (10 Years): 40

Top Topics

Benchmark Suite

Machine Learning

Automated Discovery

Top Venues

Publications

Jason H. Moore, Randal S. Olson, Peter Schmitt, Yong Chen, Elisabetta Manduchi
How Computational Experiments Can Improve Our Understanding of the Genetic Architecture of Common Human Diseases. Artif. Life 26 (1) (2020)
Jason H. Moore, Randal S. Olson, Yong Chen, Moshe Sipper
Automated discovery of test statistics using genetic programming. Genet. Program. Evolvable Mach. 20 (1) (2019)
Jason H. Moore, Randal S. Olson, Yong Chen, Moshe Sipper
Discovering test statistics using genetic programming. GECCO (Companion) (2019)
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
Using Machine Learning on Home Health Care Assessments to Predict Fall Risk. MedInfo (2019)
Jason H. Moore, Randal S. Olson, Peter Schmitt, Yong Chen, Elisabetta Manduchi
How computational thought experiments can improve our understanding of the genetic architecture of common human diseases. ALIFE (2018)
Jason H. Moore, Maksim Shestov, Peter Schmitt, Randal S. Olson
A heuristic method for simulating open-data of arbitrary complexity that can be used to compare and evaluate machine learning methods. PSB (2018)
Ryan J. Urbanowicz, Randal S. Olson, Peter Schmitt, Melissa Meeker, Jason H. Moore
Benchmarking relief-based feature selection methods for bioinformatics data mining. J. Biomed. Informatics 85 (2018)
Pieter Gijsbers, Joaquin Vanschoren, Randal S. Olson
Layered TPOT: Speeding up Tree-based Pipeline Optimization. CoRR (2018)
Randal S. Olson, William G. La Cava, Zairah Mustahsan, Akshay Varik, Jason H. Moore
Data-driven advice for applying machine learning to bioinformatics problems. PSB (2018)
Ryan J. Urbanowicz, Melissa Meeker, William G. La Cava, Randal S. Olson, Jason H. Moore
Relief-based feature selection: Introduction and review. J. Biomed. Informatics 85 (2018)
Alena Orlenko, Jason H. Moore, Patryk Orzechowski, Randal S. Olson, Junmei Cairns, Pedro J. Caraballo, Richard M. Weinshilboum, Liewei Wang, Matthew K. Breitenstein
Considerations for automated machine learning in clinical metabolic profiling: Altered homocysteine plasma concentration associated with metformin exposure. PSB (2018)
Randal S. Olson, Moshe Sipper, William G. La Cava, Sharon Tartarone, Steven Vitale, Weixuan Fu, John H. Holmes, Jason H. Moore
A System for Accessible Artificial Intelligence. CoRR (2017)
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
Grid-based stochastic search for hierarchical gene-gene interactions in population-based genetic studies of common human diseases. BioData Min. 10 (1) (2017)
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
A System for Accessible Artificial Intelligence. GPTP (2017)
Pieter Gijsbers, Joaquin Vanschoren, Randal S. Olson
Layered TPOT: Speeding up Tree-based Pipeline Optimization. AutoML@PKDD/ECML (2017)
Randal S. Olson, William G. La Cava, Zairah Mustahsan, Akshay Varik, Jason H. Moore
Data-driven Advice for Applying Machine Learning to Bioinformatics Problems. CoRR (2017)
Ryan J. Urbanowicz, Randal S. Olson, Peter Schmitt, Melissa Meeker, Jason H. Moore
Benchmarking Relief-Based Feature Selection Methods. CoRR (2017)
Randal S. Olson, William G. La Cava, Patryk Orzechowski, Ryan J. Urbanowicz, Jason H. Moore
PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison. CoRR (2017)
Moshe Sipper, Randal S. Olson, Jason H. Moore
Evolutionary computation: the next major transition of artificial intelligence? BioData Min. 10 (1) (2017)
Ryan J. Urbanowicz, Melissa Meeker, William G. La Cava, Randal S. Olson, Jason H. Moore
Relief-Based Feature Selection: Introduction and Review. CoRR (2017)
Randal S. Olson, William G. La Cava, Patryk Orzechowski, Ryan J. Urbanowicz, Jason H. Moore
PMLB: a large benchmark suite for machine learning evaluation and comparison. BioData Min. 10 (1) (2017)
Andrew Sohn, Randal S. Olson, Jason H. Moore
Toward the automated analysis of complex diseases in genome-wide association studies using genetic programming. CoRR (2017)
Andrew Sohn, Randal S. Olson, Jason H. Moore
Toward the automated analysis of complex diseases in genome-wide association studies using genetic programming. GECCO (2017)
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
Markov Brains: A Technical Introduction. CoRR (2017)
Randal S. Olson, Arend Hintze, Fred C. Dyer, Jason H. Moore, Christoph Adami
Exploring the coevolution of predator and prey morphology and behavior. CoRR (2016)
Randal S. Olson, Jason H. Moore
Identifying and Harnessing the Building Blocks of Machine Learning Pipelines for Sensible Initialization of a Data Science Automation Tool. CoRR (2016)
Randal S. Olson, Jason H. Moore
Identifying and Harnessing the Building Blocks of Machine Learning Pipelines for Sensible Initialization of a Data Science Automation Tool. GPTP (2016)
Arend Hintze, Randal S. Olson, Joel Lehman
Orthogonally Evolved AI to Improve Difficulty Adjustment in Video Games. EvoApplications (1) (2016)
Randal S. Olson, Jason H. Moore, Christoph Adami
Evolution of active categorical image classification via saccadic eye movement. CoRR (2016)
Ryan J. Urbanowicz, Randal S. Olson, Jason H. Moore
Pareto Inspired Multi-objective Rule Fitness for Noise-Adaptive Rule-Based Machine Learning. PPSN (2016)
Randal S. Olson, Jason H. Moore
TPOT: A Tree-based Pipeline Optimization Tool for Automating Machine Learning. AutoML@ICML (2016)
Randal S. Olson, Christoph Adami, Ali Tehrani-Saleh
Flies as Ship Captains? Digital Evolution Unravels Selective Pressures to Avoid Collision in Drosophila. ALIFE (2016)
Randal S. Olson, Ryan J. Urbanowicz, Peter C. Andrews, Nicole A. Lavender, La Creis Kidd, Jason H. Moore
Automating biomedical data science through tree-based pipeline optimization. CoRR (2016)
Christoph Adami, Jason H. Moore, Fred C. Dyer, Arend Hintze, Randal S. Olson
Exploring the coevolution of predator and prey morphology and behavior. ALIFE (2016)
Randal S. Olson, Jason H. Moore, Christoph Adami
Evolution of Active Categorical Image Classification via Saccadic Eye Movement. PPSN (2016)
Randal S. Olson, Nathan Bartley, Ryan J. Urbanowicz, Jason H. Moore
Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science. CoRR (2016)
Randal S. Olson, Ryan J. Urbanowicz, Peter C. Andrews, Nicole A. Lavender, La Creis Kidd, Jason H. Moore
Automating Biomedical Data Science Through Tree-Based Pipeline Optimization. EvoApplications (1) (2016)
Randal S. Olson, David B. Knoester, Christoph Adami
Evolution of Swarming Behavior Is Shaped by How Predators Attack. Artif. Life 22 (3) (2016)
Randal S. Olson, Nathan Bartley, Ryan J. Urbanowicz, Jason H. Moore
Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science. GECCO (2016)
Ryan J. Urbanowicz, Randal S. Olson, Jason H. Moore
Pareto Inspired Multi-objective Rule Fitness for Adaptive Rule-based Machine Learning. GECCO (Companion) (2016)
Randal S. Olson, Zachary P. Neal
Navigating the massive world of reddit: using backbone networks to map user interests in social media. PeerJ Comput. Sci. 1 (2015)
Patrick B. Haley, Randal S. Olson, Fred C. Dyer, Christoph Adami
Evolving an optimal group size in groups of prey under predation. ECAL (2015)
Randal S. Olson, Patrick B. Haley, Fred C. Dyer, Christoph Adami
Exploring the evolution of a trade-off between vigilance and foraging in group-living organisms. CoRR (2014)
Patrick B. Haley, Randal S. Olson, Fred C. Dyer, Christoph Adami
Exploring Conditions That Select for the Evolution of Cooperative Group Foraging. ALIFE (2014)
Randal S. Olson, Zachary P. Neal
Navigating the massive world of reddit: Using backbone networks to map user interests in social media. CoRR (2013)
Arend Hintze, Randal S. Olson, Christoph Adami, Ralph Hertwig
Risk aversion as an evolutionary adaptation. CoRR (2013)
Randal S. Olson, David B. Knoester, Christoph Adami
Critical interplay between density-dependent predation and evolution of the selfish herd. GECCO (2013)
Randal S. Olson, David B. Knoester, Christoph Adami
Evolution of swarming behavior is shaped by how predators attack. CoRR (2013)
Randal S. Olson, Masoud Mirmomeni, Tim Brom, Eric Bruger, Arend Hintze, David B. Knoester, Christoph Adami
Evolved digital ecosystems: Dynamic steady state, not optimal fixed point. ECAL (2013)
Randal S. Olson, Arend Hintze, Fred C. Dyer, David B. Knoester, Christoph Adami
Predator confusion is sufficient to evolve swarming behavior. CoRR (2012)