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Randal 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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