Ryan J Urbanowicz
Title
Cited by
Cited by
Year
Learning classifier systems: a complete introduction, review, and roadmap
RJ Urbanowicz, JH Moore
Journal of Artificial Evolution and Applications 2009, 2009
2782009
Relief-based feature selection: Introduction and review
RJ Urbanowicz, M Meeker, W La Cava, RS Olson, JH Moore
Journal of biomedical informatics 85, 189-203, 2018
2242018
Evaluation of a tree-based pipeline optimization tool for automating data science
RS Olson, N Bartley, RJ Urbanowicz, JH Moore
Proceedings of the Genetic and Evolutionary Computation Conference 2016, 485-492, 2016
2132016
TPOT: A tree-based pipeline optimization tool for automating machine learning
RS Olson, JH Moore
Workshop on automatic machine learning, 66-74, 2016
1742016
Automating biomedical data science through tree-based pipeline optimization
RS Olson, RJ Urbanowicz, PC Andrews, NA Lavender, JH Moore
European Conference on the Applications of Evolutionary Computation, 123-137, 2016
1532016
GAMETES: a fast, direct algorithm for generating pure, strict, epistatic models with random architectures
RJ Urbanowicz, J Kiralis, NA Sinnott-Armstrong, T Heberling, JM Fisher, ...
BioData mining 5 (1), 1-14, 2012
1502012
PMLB: a large benchmark suite for machine learning evaluation and comparison
RS Olson, W La Cava, P Orzechowski, RJ Urbanowicz, JH Moore
BioData mining 10 (1), 1-13, 2017
1242017
Benchmarking relief-based feature selection methods for bioinformatics data mining
RJ Urbanowicz, RS Olson, P Schmitt, M Meeker, JH Moore
Journal of biomedical informatics 85, 168-188, 2018
622018
Applications of Evolutionary Computation: 19th European Conference, EvoApplications 2016, Porto, Portugal, March 30--April 1, 2016, Proceedings, Part I
G Squillero, P Burelli
Springer, 2016
572016
Analysis of gene‐gene interactions
D Gilbert‐Diamond, JH Moore
Current protocols in human genetics 70 (1), 1.14. 1-1.14. 12, 2011
562011
ExSTraCS 2.0: description and evaluation of a scalable learning classifier system
RJ Urbanowicz, JH Moore
Evolutionary intelligence 8 (2), 89-116, 2015
552015
Introduction to learning classifier systems
RJ Urbanowicz, WN Browne
Springer, 2017
492017
Role of genetic heterogeneity and epistasis in bladder cancer susceptibility and outcome: a learning classifier system approach
RJ Urbanowicz, AS Andrew, MR Karagas, JH Moore
Journal of the American Medical Informatics Association 20 (4), 603-612, 2013
472013
An analysis pipeline with statistical and visualization-guided knowledge discovery for michigan-style learning classifier systems
RJ Urbanowicz, A Granizo-Mackenzie, JH Moore
IEEE computational intelligence magazine 7 (4), 35-45, 2012
442012
The application of michigan-style learning classifiersystems to address genetic heterogeneity and epistasisin association studies
RJ Urbanowicz, JH Moore
Proceedings of the 12th annual conference on Genetic and evolutionary …, 2010
362010
Instance-linked attribute tracking and feedback for michigan-style supervised learning classifier systems
R Urbanowicz, A Granizo-Mackenzie, J Moore
Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012
342012
Predicting the difficulty of pure, strict, epistatic models: metrics for simulated model selection
RJ Urbanowicz, J Kiralis, JM Fisher, JH Moore
BioData mining 5 (1), 15, 2012
322012
Using expert knowledge to guide covering and mutation in a michigan style learning classifier system to detect epistasis and heterogeneity
RJ Urbanowicz, D Granizo-Mackenzie, JH Moore
International Conference on Parallel Problem Solving from Nature, 266-275, 2012
232012
An extended michigan-style learning classifier system for flexible supervised learning, classification, and data mining
RJ Urbanowicz, G Bertasius, JH Moore
International Conference on Parallel Problem Solving from Nature, 211-221, 2014
202014
Rapid rule compaction strategies for global knowledge discovery in a supervised learning classifier system
J Tan, J Moore, R Urbanowicz
Artificial Life Conference Proceedings 13, 110-117, 2013
192013
The system can't perform the operation now. Try again later.
Articles 1–20