Learning classifier systems: a complete introduction, review, and roadmap RJ Urbanowicz, JH Moore Journal of Artificial Evolution and Applications 2009, 2009 | 275 | 2009 |
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 | 245 | 2018 |
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 | 238 | 2016 |
TPOT: A tree-based pipeline optimization tool for automating machine learning RS Olson, JH Moore Workshop on automatic machine learning, 66-74, 2016 | 197 | 2016 |
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 | 171 | 2016 |
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 | 153 | 2012 |
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 | 135 | 2017 |
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 | 68 | 2018 |
ExSTraCS 2.0: description and evaluation of a scalable learning classifier system RJ Urbanowicz, JH Moore Evolutionary intelligence 8 (2), 89-116, 2015 | 58 | 2015 |
Analysis of gene‐gene interactions D Gilbert‐Diamond, JH Moore Current protocols in human genetics 70 (1), 1.14. 1-1.14. 12, 2011 | 58 | 2011 |
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 | 56 | 2016 |
Introduction to learning classifier systems RJ Urbanowicz, WN Browne Springer, 2017 | 53 | 2017 |
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 | 49 | 2013 |
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 | 44 | 2012 |
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 | 36 | 2010 |
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 | 34 | 2012 |
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), 1-13, 2012 | 32 | 2012 |
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 | 23 | 2012 |
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 | 20 | 2014 |
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 | 19 | 2013 |