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ORCIDRandal S. Olson
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2020 – today
- 2020
[j9]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): 23-37 (2020)
2010 – 2019
- 2019
- [j8]Jason H. Moore, Randal S. Olson, Yong Chen, Moshe Sipper:
Automated discovery of test statistics using genetic programming. Genet. Program. Evolvable Mach. 20(1): 127-137 (2019) - [c23]Jason H. Moore, Randal S. Olson, Yong Chen, Moshe Sipper:
Discovering test statistics using genetic programming. GECCO (Companion) 2019: 29-30 - [c22]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: 684-688 - [p1]Randal S. Olson, Jason H. Moore:
TPOT: A Tree-Based Pipeline Optimization Tool for Automating Machine Learning. Automated Machine Learning 2019: 151-160 - 2018
- [j7]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: 168-188 (2018) - [j6]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: 189-203 (2018) - [c21]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: 23-30 - [c20]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: 192-203 - [c19]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: 259-267 - [c18]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: 460-471 - [e1]Wolfgang Banzhaf, Randal S. Olson, William A. Tozier, Rick L. Riolo:
Genetic Programming Theory and Practice XV, [GPTP 2017, University of Michigan, Ann Arbor, USA, May 18-20, 2017]. Genetic and Evolutionary Computation, Springer 2018, ISBN 978-3-319-90511-2 [contents] - [i18]Pieter Gijsbers, Joaquin Vanschoren, Randal S. Olson:
Layered TPOT: Speeding up Tree-based Pipeline Optimization. CoRR abs/1801.06007 (2018) - 2017
- [j5]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): 19:1-19:16 (2017) - [j4]Moshe Sipper, Randal S. Olson, Jason H. Moore:
Evolutionary computation: the next major transition of artificial intelligence? BioData Min. 10(1): 26:1-26:3 (2017) - [j3]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): 36:1-36:13 (2017) - [c17]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: 489-496 - [c16]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: 121-134 - [c15]Pieter Gijsbers, Joaquin Vanschoren, Randal S. Olson:
Layered TPOT: Speeding up Tree-based Pipeline Optimization. AutoML@PKDD/ECML 2017: 49-68 - [i17]Andrew Sohn, Randal S. Olson, Jason H. Moore:
Toward the automated analysis of complex diseases in genome-wide association studies using genetic programming. CoRR abs/1702.01780 (2017) - [i16]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 abs/1703.00512 (2017) - [i15]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 abs/1705.00594 (2017) - [i14]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 abs/1708.05070 (2017) - [i13]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 abs/1709.05601 (2017) - [i12]Ryan J. Urbanowicz, Melissa Meeker, William G. La Cava, Randal S. Olson, Jason H. Moore:
Relief-Based Feature Selection: Introduction and Review. CoRR abs/1711.08421 (2017) - [i11]Ryan J. Urbanowicz, Randal S. Olson, Peter Schmitt, Melissa Meeker, Jason H. Moore:
Benchmarking Relief-Based Feature Selection Methods. CoRR abs/1711.08477 (2017) - 2016
- [j2]Randal S. Olson, David B. Knoester, Christoph Adami:
Evolution of Swarming Behavior Is Shaped by How Predators Attack. Artif. Life 22(3): 299-318 (2016) - [c14]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: 250-257 - [c13]Randal S. Olson, Christoph Adami, Ali Tehrani-Saleh:
Flies as Ship Captains? Digital Evolution Unravels Selective Pressures to Avoid Collision in Drosophila. ALIFE 2016: 554-561 - [c12]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: 123-137 - [c11]Arend Hintze, Randal S. Olson, Joel Lehman:
Orthogonally Evolved AI to Improve Difficulty Adjustment in Video Games. EvoApplications (1) 2016: 525-540 - [c10]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: 485-492 - [c9]Ryan J. Urbanowicz, Randal S. Olson, Jason H. Moore:
Pareto Inspired Multi-objective Rule Fitness for Adaptive Rule-based Machine Learning. GECCO (Companion) 2016: 1403 - [c8]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: 211-223 - [c7]Randal S. Olson, Jason H. Moore:
TPOT: A Tree-based Pipeline Optimization Tool for Automating Machine Learning. AutoML@ICML 2016: 66-74 - [c6]Ryan J. Urbanowicz, Randal S. Olson, Jason H. Moore:
Pareto Inspired Multi-objective Rule Fitness for Noise-Adaptive Rule-Based Machine Learning. PPSN 2016: 514-524 - [c5]Randal S. Olson, Jason H. Moore, Christoph Adami:
Evolution of Active Categorical Image Classification via Saccadic Eye Movement. PPSN 2016: 581-590 - [i10]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 abs/1601.07925 (2016) - [i9]Randal S. Olson, Arend Hintze, Fred C. Dyer, Jason H. Moore, Christoph Adami:
Exploring the coevolution of predator and prey morphology and behavior. CoRR abs/1602.08802 (2016) - [i8]Randal S. Olson, Nathan Bartley, Ryan J. Urbanowicz, Jason H. Moore:
Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science. CoRR abs/1603.06212 (2016) - [i7]Randal S. Olson, Jason H. Moore, Christoph Adami:
Evolution of active categorical image classification via saccadic eye movement. CoRR abs/1603.08233 (2016) - [i6]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 abs/1607.08878 (2016) - 2015
- [j1]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: e4 (2015) - [c4]Patrick B. Haley, Randal S. Olson, Fred C. Dyer, Christoph Adami:
Evolving an optimal group size in groups of prey under predation. ECAL 2015: 620 - 2014
- [c3]Patrick B. Haley, Randal S. Olson, Fred C. Dyer, Christoph Adami:
Exploring Conditions That Select for the Evolution of Cooperative Group Foraging. ALIFE 2014: 310-311 - [i5]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 abs/1408.1906 (2014) - 2013
- [c2]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: 126-133 - [c1]Randal S. Olson, David B. Knoester, Christoph Adami:
Critical interplay between density-dependent predation and evolution of the selfish herd. GECCO 2013: 247-254 - [i4]Randal S. Olson, David B. Knoester, Christoph Adami:
Evolution of swarming behavior is shaped by how predators attack. CoRR abs/1310.6012 (2013) - [i3]Arend Hintze, Randal S. Olson, Christoph Adami, Ralph Hertwig:
Risk aversion as an evolutionary adaptation. CoRR abs/1310.6338 (2013) - [i2]Randal S. Olson, Zachary P. Neal:
Navigating the massive world of reddit: Using backbone networks to map user interests in social media. CoRR abs/1312.3387 (2013) - 2012
- [i1]Randal S. Olson, Arend Hintze, Fred C. Dyer, David B. Knoester, Christoph Adami:
Predator confusion is sufficient to evolve swarming behavior. CoRR abs/1209.3330 (2012)
Coauthor Index
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