Ryan J. Urbanowicz Coauthor index pubzone.org

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DBLP keys2012
j4Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Ryan J. Urbanowicz, Jeff Kiralis, Jonathan M. Fisher, Jason H. Moore: Predicting the difficulty of pure, strict, epistatic models: metrics for simulated model selection. BioData Mining 5: 15 (2012)
j3Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Ryan J. Urbanowicz, Jeff Kiralis, Nicholas A. Sinnott-Armstrong, Tamra Heberling, Jonathan M. Fisher, Jason H. Moore: GAMETES: a fast, direct algorithm for generating pure, strict, epistatic models with random architectures. BioData Mining 5: 16 (2012)
j2Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Ryan J. Urbanowicz, Ambrose Granizo-Mackenzie, Jason H. Moore: An Analysis Pipeline with Statistical and Visualization-Guided Knowledge Discovery for Michigan-Style Learning Classifier Systems. IEEE Comp. Int. Mag. 7(4): 35-45 (2012)
j1Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Daniele Loiacono, Albert Orriols-Puig, Ryan J. Urbanowicz: Special issue on advances in learning classifier systems. Evolutionary Intelligence 5(2): 57-58 (2012)
c6Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Ryan J. Urbanowicz, Ambrose Granizo-Mackenzie, Jason H. Moore: Instance-linked attribute tracking and feedback for michigan-style supervised learning classifier systems. GECCO 2012: 927-934
c5Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Ryan J. Urbanowicz, Delaney Granizo-MacKenzie, Jason H. Moore: Using Expert Knowledge to Guide Covering and Mutation in a Michigan Style Learning Classifier System to Detect Epistasis and Heterogeneity. PPSN (1) 2012: 266-275
2011
c4Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Ryan J. Urbanowicz, Nicholas A. Sinnott-Armstrong, Jason H. Moore: Random artificial incorporation of noise in a learning classifier system environment. GECCO (Companion) 2011: 369-374
2010
c3Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Ryan J. Urbanowicz, Jason H. Moore: The application of michigan-style learning classifiersystems to address genetic heterogeneity and epistasisin association studies. GECCO 2010: 195-202
c2Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Ryan J. Urbanowicz, Jason H. Moore: The Application of Pittsburgh-Style Learning Classifier Systems to Address Genetic Heterogeneity and Epistasis in Association Studies. PPSN (1) 2010: 404-413
2008
c1Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Ryan J. Urbanowicz, Nate Barney, Bill C. White, Jason H. Moore: Mask functions for the symbolic modeling of epistasis using genetic programming. GECCO 2008: 339-346

Coauthor Index

1Nate Barney
[c1]
2Jonathan M. Fisher
[j4] [j3]
3Delaney Granizo-MacKenzie
[c5]
4Ambrose Granizo-Mackenzie
[j2] [c6]
5Tamra Heberling
[j3]
6Jeff Kiralis
[j4] [j3]
7Daniele Loiacono
[j1]
8Jason H. Moore
[j4] [j3] [j2] [c6] [c5] [c4] [c3] [c2] [c1]
9Albert Orriols-Puig
[j1]
10Nicholas A. Sinnott-Armstrong
[j3] [c4]
11Bill C. White
[c1]

Colors in the list of coauthors

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