Genetic Programming Bibliography entries for Jason H Moore

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GP coauthors/coeditors: Christian Darabos, Mario Giacobini, Ting Hu, Margaret J Eppstein, Joshua L Payne, Bill C White, James A Foster, Casey S Greene, Jeff Kiralis, Douglas P Hill, Wolfgang Banzhaf, Maarten Keijzer, Mike Cattolico, Dirk V Arnold, Vladan Babovic, Christian Blum, Peter A N Bosman, Martin V Butz, Carlos Artemio Coello Coello, Dipankar Dasgupta, Sevan G Ficici, Arturo Hernandez-Aguirre, Gregory S Hornby, Hod Lipson, Phil McMinn, Gunther R Raidl, Franz Rothlauf, Conor Ryan, Dirk Thierens, Giuliano Antoniol, Clare Bates Congdon, Kalyanmoy Deb, Benjamin Doerr, Nikolaus Hansen, John H Holmes, Daniel Howard, James Kennedy, Sanjeev Kumar, Fernando G Lobo, Julian F Miller, Frank Neumann, Martin Pelikan, Jordan B Pollack, Kumara Sastry, Kenneth O Stanley, Adrian Stoica, El-Ghazali Talbi, Ingo Wegener, William La Cava, Sara Silva, Leonardo Vanneschi, Lee Spector, Joel S Parker, Lance W Hahn, Nancy J Olsen, Thomas M Aune, Nate Barney, Chia-Ti Tsai, Fu-Tien Chiang, Jiang Gui, Peter C Andrews, Jonathan M Fisher, Nicole A Lavender, La Creis Renee Kidd, Arvis Sulovari, Andrew J Saykin, Li Shen, Randal S Olson, Ryan J Urbanowicz, Nathan Bartley, Kristine A Pattin, Thomas Caldwell, William Michael Rand, Alexandru-Adrian Tantar, Emilia Tantar, Nikhil Padhye, Aaron Baughman, Stefan Van Der Stock, Michael Perlitz, Steven M Gustafson, Jonathan Jesneck, Gisele L Pappa, John R Woodward, Matthew R Hyde, Jerry Swan, Stefan Wagner, Michael Affenzeller, Anne Auger, Alexandre Chotard, Verena Heidrich-Meisner, Olaf Mersmann, Petr Posik, Mike Preuss, Forrest Stonedahl, Rick L Riolo, Stephane Doncieux, Yaochu Jin, Jean-Baptiste Mouret, Daniele Loiacono, Albert Orriols-Puig, Kent McClymont, Ed Keedwell, Richard Everson, Jonathan E Fieldsend, David Walker, Francisco Fernandez de Vega, Carlos Cotta, Ekaterina (Katya) Vladislavleva, Stephen L Smith, Stefano Cagnoni, Robert M Patton, Sherri Goings, Alison A Motsinger, Katya Rodriguez-Vazquez, Gabriela Ochoa, David M Reif, Marylyn D Ritchie, Mark Kotanchek, Christopher S Coffey, William S Bush, Moshe Sipper, Weixuan Fu, Karuna Ahuja, Andrew Sohn, Terence Soule, David A Pelta, Christine Solnon, Alan Dorin, Yew-Soon Ong, Dario Landa-Silva, Tina Yu, Aniko Ekart, Will N Browne, Tim Kovacs, Man Leung Wong, Clara Pizzuti, Jonathan E Rowe, Tobias Friedrich, Giovanni Squillero, Nicolas Bredeche, Jose A Lozano, Silja Meyer-Nienberg, Christian Igel, Rene Doursat, Gustavo Olague, Shin Yoo, John A Clark, Daniel R Tauritz, Jurgen Branke, Hans-Georg Beyer, Josh C Bongard, Dave Cliff, Riccardo Poli, Thomas Stuetzle, Richard A Watson, Anna L Tyler, Richard Cowper-Sal-lari, Joshua C Gilbert,

Genetic Programming Articles by Jason H Moore

  1. Ting Hu and Wolfgang Banzhaf and Jason H. Moore. The effects of recombination on phenotypic exploration and robustness in evolution. Artificial Life, 20(4):457-470, 2014. Ten thousandth GP entry in the genetic programming bibliography. details

  2. Ting Hu and Joshua Payne and Wolfgang Banzhaf and Jason Moore. Evolutionary dynamics on multiple scales: a quantitative analysis of the interplay between genotype, phenotype, and fitness in linear genetic programming. Genetic Programming and Evolvable Machines, 13(3):305-337, 2012. Special issue on selected papers from the 2011 European conference on genetic programming. details

  3. Casey S. Greene and Jason H. Moore. Human Genetics Using GP. SIGEVOlution, 3(2) 2008. details

  4. Marylyn D. Ritchie and Alison A. Motsinger and William S. Bush and Christopher S. Coffey and Jason H. Moore. Genetic programming neural networks: A powerful bioinformatics tool for human genetics. Applied Soft Computing, 7(1):471-479, 2007. details

  5. Jason H. Moore and Nate Barney and Chia-Ti Tsai and Fu-Tien Chiang and Jiang Gui and Bill C. White. Symbolic Modeling of Epistasis. Human Heredity, 63(2):120-133, 2007. details

  6. James A. Foster and Jason H. Moore. GECCO-2006 Highlights: Biological Applications. SIGEVOlution, 1(3):23, 2006. details

  7. David M. Reif and Bill C. White and Jason H. Moore. Integrated analysis of genetic, genomic, and proteomic data. Expert Review of Proteomics, 1(1):67-75, 2004. details

  8. Jason H. Moore and Lance W. Hahn. Evaluation of a discrete dynamic systems approach for modeling the hierarchical relationship between genes, biochemistry, and disease susceptibility. Discrete and Continuous Dynamical Systems: Series B, 4(1):275-287, 2004. details

  9. Jason H. Moore and Lance W. Hahn. Petri net modeling of high-order genetic systems using grammatical evolution. BioSystems, 72(1-2):177-186, 2003. details

  10. Marylyn D. Ritchie and Bill C. White and Joel S. Parker and Lance W. Hahn and Jason H. Moore. Optimization of neural network architecture using genetic programming improves detection and modeling of gene-gene interactions in studies of human diseases. BMC Bioinformatics, 4(28) 2003. details

  11. Jason H. Moore and Joel S. Parker and Nancy J. Olsen and Thomas M. Aune. Symbolic Discriminant Analysis of Microarray Data in Automimmune Disease. Genetic Epidemiology, 23:57-69, 2002. details

Genetic Programming Conference proceedings edited by Jason H Moore

  1. Rick Riolo and Jason H. Moore and Mark Kotanchek editors, Genetic Programming Theory and Practice XI. Ann Arbor, USA, Springer, 2013. details

  2. Terry Soule and Anne Auger and Jason Moore and David Pelta and Christine Solnon and Mike Preuss and Alan Dorin and Yew-Soon Ong and Christian Blum and Dario Landa Silva and Frank Neumann and Tina Yu and Aniko Ekart and Will Browne and Tim Kovacs and Man-Leung Wong and Clara Pizzuti and Jon Rowe and Tobias Friedrich and Giovanni Squillero and Nicolas Bredeche and Stephen L. Smith and Alison Motsinger-Reif and Jose Lozano and Martin Pelikan and Silja Meyer-Nienberg and Christian Igel and Greg Hornby and Rene Doursat and Steve Gustafson and Gustavo Olague and Shin Yoo and John Clark and Gabriela Ochoa and Gisele Pappa and Fernando Lobo and Daniel Tauritz and Jurgen Branke and Kalyanmoy Deb editors, GECCO '12: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference. Philadelphia, Pennsylvania, USA, 2012. details

  3. Rick Riolo and Ekaterina Vladislavleva and Marylyn D. Ritchie and Jason H. Moore editors, Genetic Programming Theory and Practice X. Ann Arbor, USA, Springer, 2012. details

  4. Bill Rand and Alexandru-Adrian Tantar and Emilia Tantar and Peter A. N. Bosman and Nikhil Padhye and Aaron Baughman and Stefan Van Der Stock and Michael Perlitz and Steven M. Gustafson and Jonathan Jesneck and Gisele L. Pappa and John Woodward and Matthew R. Hyde and Jerry Swan and Stefan Wagner and Michael Affenzeller and Anne Auger and Alexandre Chotard and Nikolaus Hansen and Verena Heidrich-Meisner and Olaf Mersmann and Petr Posik and Mike Preuss and Forrest Stonedahl and Rick Riolo and Stephane Doncieux and Yaochu Jin and Jean-Baptiste Mouret and Daniele Loiacono and Albert Orriols-Puig and Ryan Urbanowicz and Kent McClymont and Ed Keedwell and Richard Everson and Jonathan Fieldsend and David Walker and F. Fernandez de Vega and Carlos Cotta and Steven Gustafson and Ekaterina Vladislavleva and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Sherri Goings and Alison Motsinger-Reif and Katya Rodriguez and Christian Blum and Gabriela Ochoa and Jason H. Moore editors, GECCO Companion '12: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion. Philadelphia, Pennsylvania, USA, 2012. details

  5. Rick Riolo and Ekaterina Vladislavleva and Jason H. Moore editors, Genetic Programming Theory and Practice IX. Ann Arbor, USA, Springer, 2011. details

  6. Maarten Keijzer and Giuliano Antoniol and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Nikolaus Hansen and John H. Holmes and Gregory S. Hornby and Daniel Howard and James Kennedy and Sanjeev Kumar and Fernando G. Lobo and Julian Francis Miller and Jason Moore and Frank Neumann and Martin Pelikan and Jordan Pollack and Kumara Sastry and Kenneth Stanley and Adrian Stoica and El-Ghazali Talbi and Ingo Wegener editors, GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation. Atlanta, GA, USA, ACM, 2008. details

  7. Dirk Thierens and Hans-Georg Beyer and Josh Bongard and Jurgen Branke and John Andrew Clark and Dave Cliff and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Tim Kovacs and Sanjeev Kumar and Julian F. Miller and Jason Moore and Frank Neumann and Martin Pelikan and Riccardo Poli and Kumara Sastry and Kenneth Owen Stanley and Thomas Stutzle and Richard A Watson and Ingo Wegener editors, GECCO 2007: Proceedings of the 9th annual conference on Genetic and evolutionary computation. London, UK, ACM Press, 2007. details

  8. Maarten Keijzer and Mike Cattolico and Dirk Arnold and Vladan Babovic and Christian Blum and Peter Bosman and Martin V. Butz and Carlos Coello Coello and Dipankar Dasgupta and Sevan G. Ficici and James Foster and Arturo Hernandez-Aguirre and Greg Hornby and Hod Lipson and Phil McMinn and Jason Moore and Guenther Raidl and Franz Rothlauf and Conor Ryan and Dirk Thierens editors, GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation. Seattle, Washington, USA, ACM Press, 2006. details

Genetic Programming conference papers by Jason H Moore

  1. Andrew Sohn and Randal S. Olson and Jason H. Moore. Toward the Automated Analysis of Complex Diseases in Genome-wide Association Studies Using Genetic Programming. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 489-496, Berlin, Germany, 2017. ACM. details

  2. William La Cava and Sara Silva and Leonardo Vanneschi and Lee Spector and Jason Moore. Genetic Programming Representations for Multi-dimensional Feature Learning in Biomedical Classification. In Giovanni Squillero editor, 20th European Conference on the Applications of Evolutionary Computation, volume 10199, pages 158-173, Amsterdam, 2017. Springer. details

  3. William La Cava and Jason H. Moore. Ensemble Representation Learning: An Analysis of Fitness and Survival for Wrapper-based Genetic Programming Methods. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 961-968, Berlin, Germany, 2017. ACM. details

  4. William La Cava and Jason Moore. A General Feature Engineering Wrapper for Machine Learning Using epsilon-Lexicase Survival. In Mauro Castelli and James McDermott and Lukas Sekanina editors, EuroGP 2017: Proceedings of the 20th European Conference on Genetic Programming, volume 10196, pages 80-95, Amsterdam, 2017. Springer Verlag. details

  5. Randal S. Olson and Nathan Bartley and Ryan J. Urbanowicz and Jason H. Moore. Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science. In Tobias Friedrich and Frank Neumann and Andrew M. Sutton and Martin Middendorf and Xiaodong Li and Emma Hart and Mengjie Zhang and Youhei Akimoto and Peter A. N. Bosman and Terry Soule and Risto Miikkulainen and Daniele Loiacono and Julian Togelius and Manuel Lopez-Ibanez and Holger Hoos and Julia Handl and Faustino Gomez and Carlos M. Fonseca and Heike Trautmann and Alberto Moraglio and William F. Punch and Krzysztof Krawiec and Zdenek Vasicek and Thomas Jansen and Jim Smith and Simone Ludwig and JJ Merelo and Boris Naujoks and Enrique Alba and Gabriela Ochoa and Simon Poulding and Dirk Sudholt and Timo Koetzing editors, GECCO '16: Proceedings of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 485-492, Denver, USA, 2016. ACM. details

  6. Randal S. Olson and Jason H. Moore. Identifying and Harnessing the Building Blocks of Machine Learning Pipelines for Sensible Initialization of a Data Science Automation Tool. In Rick Riolo and Bill Tozier and Brian Goldman editors, Genetic Programming Theory and Practice XIV, Ann Arbor, USA, 2016. Springer. to appear. details

  7. Randal S. Olson and Ryan J. Urbanowicz and Peter C. Andrews and Nicole A. Lavender and La Creis Kidd and Jason H. Moore. Automating Biomedical Data Science Through Tree-Based Pipeline Optimization. In Giovanni Squillero and Paolo Burelli editors, Proceedings of the 19th European Conference on Applications of Evolutionary Computation, EvoApplications 2016, Part I, volume 9597, pages 123-137, Porto, Portugal, 2016. Springer. Best paper, EvoBio track. details

  8. Jason H. Moore and Casey S. Greene and Douglas P. Hill. Identification of Novel Genetic Models of Glaucoma Using the ``EMERGENT'' Genetic Programming-Based Artificial Intelligence System. In Rick Riolo and William P. Worzel and Mark Kotanchek editors, Genetic Programming Theory and Practice XII, pages 17-35, Ann Arbor, USA, 2014. Springer. details

  9. Ting Hu and Wolfgang Banzhaf and Jason Moore. Population Exploration on Genotype Networks in Genetic Programming. In Thomas Bartz-Beielstein and Juergen Branke and Bogdan Filipic and Jim Smith editors, 13th International Conference on Parallel Problem Solving from Nature, volume 8672, pages 424-333, Ljubljana, Slovenia, 2014. Springer. details

  10. Ting Hu and Wolfgang Banzhaf and Jason H. Moore. Robustness and Evolvability of Recombination in Linear Genetic Programming. In Krzysztof Krawiec and Alberto Moraglio and Ting Hu and A. Sima Uyar and Bin Hu editors, Proceedings of the 16th European Conference on Genetic Programming, EuroGP 2013, volume 7831, pages 97-108, Vienna, Austria, 2013. Springer Verlag. details

  11. Christian Darabos and Mario Giacobini and Ting Hu and Jason H. Moore. Levy-Flight Genetic Programming: Towards a New Mutation Paradigm. In Mario Giacobini and Leonardo Vanneschi and William S. Bush editors, 10th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2012, volume 7246, pages 38-49, Malaga, Spain, 2012. Springer Verlag. details

  12. Ting Hu and Joshua Payne and Jason Moore and Wolfgang Banzhaf. Robustness, Evolvability, and Accessibility in Linear Genetic Programming. In Sara Silva and James A. Foster and Miguel Nicolau and Mario Giacobini and Penousal Machado editors, Proceedings of the 14th European Conference on Genetic Programming, EuroGP 2011, volume 6621, pages 13-24, Turin, Italy, 2011. Springer Verlag. details

  13. Anna L. Tyler and Bill C. White and Casey S. Greene and Peter C. Andrews and Richard Cowper-Sal-lari and Jason H. Moore. Development and Evaluation of an Open-Ended Computational Evolution System for the Creation of Digital Organisms with Complex Genetic Architecture. In Andy Tyrrell editor, 2009 IEEE Congress on Evolutionary Computation, pages 2907-2912, Trondheim, Norway, 2009. IEEE Press. details

  14. Casey S. Greene and Bill C. White and Jason H. Moore. Sensible Initialization Using Expert Knowledge for Genome-Wide Analysis of Epistasis Using Genetic Programming. In Andy Tyrrell editor, 2009 IEEE Congress on Evolutionary Computation, pages 1289-1296, Trondheim, Norway, 2009. IEEE Press. details

  15. Casey S. Greene and Jeff Kiralis and Jason H. Moore. Nature-Inspired Algorithms for the Genetic Analysis of Epistasis in Common Human Diseases: Theoretical Assessment of Wrapper vs. Filter Approaches. In Andy Tyrrell editor, 2009 IEEE Congress on Evolutionary Computation, pages 800-807, Trondheim, Norway, 2009. IEEE Press. details

  16. Jason H. Moore and Peter C. Andrews and Nate Barney and Bill C. White. Development and Evaluation of an Open-Ended Computational Evolution System for the Genetic Analysis of Susceptibility to Common Human Diseases. In Elena Marchiori and Jason H. Moore editors, Proceedings of the 6th European Conference, on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2008, volume 4973, pages 129-140, Naples, Italy, 2008. Springer. details

  17. Ryan J. Urbanowicz and Nate Barney and Bill C. White and Jason H. Moore. Mask functions for the symbolic modeling of epistasis using genetic programming. In Maarten Keijzer and Giuliano Antoniol and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Nikolaus Hansen and John H. Holmes and Gregory S. Hornby and Daniel Howard and James Kennedy and Sanjeev Kumar and Fernando G. Lobo and Julian Francis Miller and Jason Moore and Frank Neumann and Martin Pelikan and Jordan Pollack and Kumara Sastry and Kenneth Stanley and Adrian Stoica and El-Ghazali Talbi and Ingo Wegener editors, GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation, pages 339-346, Atlanta, GA, USA, 2008. ACM. details

  18. Casey S. Greene and Bill C. White and Jason H. Moore. Using expert knowledge in initialization for genome-wide analysis of epistasis using genetic programming. In Maarten Keijzer and Giuliano Antoniol and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Nikolaus Hansen and John H. Holmes and Gregory S. Hornby and Daniel Howard and James Kennedy and Sanjeev Kumar and Fernando G. Lobo and Julian Francis Miller and Jason Moore and Frank Neumann and Martin Pelikan and Jordan Pollack and Kumara Sastry and Kenneth Stanley and Adrian Stoica and El-Ghazali Talbi and Ingo Wegener editors, GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation, pages 351-352, Atlanta, GA, USA, 2008. ACM. details

  19. Casey S. Greene and Bill C. White and Jason H. Moore. An Expert Knowledge-Guided Mutation Operator for Genome-Wide Genetic Analysis Using Genetic Programming. In Jagath C. Rajapakse and Bertil Schmidt and L. Gwenn Volkert editors, Proceedings of the second IAPR International Workshop Pattern Recognition in Bioinformatics, PRIB 2007, volume 4774, pages 30-40, Singapore, 2007. Springer. details

  20. Jason H. Moore and Nate Barney and Bill C. White. Towards human-human-computer interaction for biologically-inspired problem-solving in human genetics. In Dirk Thierens and Hans-Georg Beyer and Josh Bongard and Jurgen Branke and John Andrew Clark and Dave Cliff and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Tim Kovacs and Sanjeev Kumar and Julian F. Miller and Jason Moore and Frank Neumann and Martin Pelikan and Riccardo Poli and Kumara Sastry and Kenneth Owen Stanley and Thomas Stutzle and Richard A Watson and Ingo Wegener editors, GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, volume 1, pages 432-433, London, 2007. ACM Press. details

  21. Jason H. Moore and Bill C. White. Exploiting Expert Knowledge in Genetic Programming for Genome-Wide Genetic Analysis. In Thomas Philip Runarsson and Hans-Georg Beyer and Edmund Burke and Juan J. Merelo-Guervos and L. Darrell Whitley and Xin Yao editors, Parallel Problem Solving from Nature - PPSN IX, volume 4193, pages 969-977, Reykjavik, Iceland, 2006. Springer-Verlag. details

  22. Margaret J. Eppstein and Joshua L. Payne and Bill C. White and Jason H. Moore. Hill-climbing through "random chemistry" for detecting epistasis. In J\"orn Grahl editor, Late breaking paper at Genetic and Evolutionary Computation Conference (GECCO'2006), Seattle, WA, USA, 2006. details

  23. Bill C. White and Joshua C. Gilbert and David M. Reif and Jason H. Moore. A Statistical Comparison of Grammatical Evolution Strategies in the Domain of Human Genetics. In David Corne and Zbigniew Michalewicz and Marco Dorigo and Gusz Eiben and David Fogel and Carlos Fonseca and Garrison Greenwood and Tan Kay Chen and Guenther Raidl and Ali Zalzala and Simon Lucas and Ben Paechter and Jennifier Willies and Juan J. Merelo Guervos and Eugene Eberbach and Bob McKay and Alastair Channon and Ashutosh Tiwari and L. Gwenn Volkert and Dan Ashlock and Marc Schoenauer editors, Proceedings of the 2005 IEEE Congress on Evolutionary Computation, volume 1, pages 491-497, Edinburgh, UK, 2005. IEEE Press. details

  24. Bill C. White and Jason H. Moore. Systems biology thought experiments in human genetics using artificial life and grammatical evolution. In Jordan Pollack and Mark Bedau and Phil Husbands and Takashi Ikegami and Richard A. Watson editors, Artificial Life XI Ninth International Conference on the Simulation and Synthesis of Living Systems, pages 581-586, Boston, Massachusetts, 2004. The MIT Press. details

  25. Marylyn D. Ritchie and Christopher S. Coffey and Jason H. Moore. Genetic Programming Neural Networks as a Bioinformatics Tool for Human Genetics. In Kalyanmoy Deb and Riccardo Poli and Wolfgang Banzhaf and Hans-Georg Beyer and Edmund Burke and Paul Darwen and Dipankar Dasgupta and Dario Floreano and James Foster and Mark Harman and Owen Holland and Pier Luca Lanzi and Lee Spector and Andrea Tettamanzi and Dirk Thierens and Andy Tyrrell editors, Genetic and Evolutionary Computation -- GECCO-2004, Part I, volume 3102, pages 438-448, Seattle, WA, USA, 2004. Springer-Verlag. details

  26. Jason H. Moore and Lance W. Hahn. Systems Biology Modeling in Human Genetics Using Petri Nets and Grammatical Evolution. In Kalyanmoy Deb and Riccardo Poli and Wolfgang Banzhaf and Hans-Georg Beyer and Edmund Burke and Paul Darwen and Dipankar Dasgupta and Dario Floreano and James Foster and Mark Harman and Owen Holland and Pier Luca Lanzi and Lee Spector and Andrea Tettamanzi and Dirk Thierens and Andy Tyrrell editors, Genetic and Evolutionary Computation -- GECCO-2004, Part I, volume 3102, pages 392-401, Seattle, WA, USA, 2004. Springer-Verlag. details

  27. Jason Moore and Lance Hahn. An Improved Grammatical Evolution Strategy for Hierarchical Petri Net Modeling of Complex Genetic Systems. In Guenther R. Raidl and Stefano Cagnoni and Jurgen Branke and David W. Corne and Rolf Drechsler and Yaochu Jin and Colin R. Johnson and Penousal Machado and Elena Marchiori and Franz Rothlauf and George D. Smith and Giovanni Squillero editors, Applications of Evolutionary Computing, EvoWorkshops2004: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, EvoSTOC, volume 3005, pages 63-72, Coimbra, Portugal, 2004. Springer Verlag. details

  28. Marylyn D. Ritchie and Bill C. White and Joel S. Parker and Lance W. Hahn and Jason H. Moore. Optimization of Neural Networks using Genetic Programming Improves Detection and Modeling of Gene-Gene Interactions in Studies of Human Diseases. In Bart Rylander editor, Genetic and Evolutionary Computation Conference Late Breaking Papers, pages 255-259, Chicago, USA, 2003. details

  29. Marylyn D. Ritchie and Bill C. White and Joel S. Parker and Lance W. Hahn and Jason H. Moore. Optimization of Neural Networks using Genetic Programming to Improve Detection and Modeling of Gene-Gene Interactions in Studies of Human Diseases. In Alwyn M. Barry editor, GECCO 2003: Proceedings of the Bird of a Feather Workshops, Genetic and Evolutionary Computation Conference, pages 72-74, Chigaco, 2003. AAAI. details

  30. David M. Reif and Bill C. White and Nancy Olsen and Thomas Aune and Jason H. Moore. Complex Function Sets Improve Symbolic Discriminant Analysis of Microarray Data. In E. Cant\'u-Paz and J. A. Foster and K. Deb and D. Davis and R. Roy and U.-M. O'Reilly and H.-G. Beyer and R. Standish and G. Kendall and S. Wilson and M. Harman and J. Wegener and D. Dasgupta and M. A. Potter and A. C. Schultz and K. Dowsland and N. Jonoska and J. Miller editors, Genetic and Evolutionary Computation -- GECCO-2003, volume 2724, pages 2277-2287, Chicago, 2003. Springer-Verlag. details

  31. Jason H. Moore and Lance W. Hahn. Grammatical Evolution for the Discovery of Petri Net Models of Complex Genetic Systems. In E. Cant\'u-Paz and J. A. Foster and K. Deb and D. Davis and R. Roy and U.-M. O'Reilly and H.-G. Beyer and R. Standish and G. Kendall and S. Wilson and M. Harman and J. Wegener and D. Dasgupta and M. A. Potter and A. C. Schultz and K. Dowsland and N. Jonoska and J. Miller editors, Genetic and Evolutionary Computation -- GECCO-2003, volume 2724, pages 2412-2413, Chicago, 2003. Springer-Verlag. details

  32. Jason Moore. Cross Validation Consistency for the Assessment of Genetic Programming Results in Microarray Studies. In G\"unther R. Raidl and Stefano Cagnoni and Juan Jes\'us Romero Cardalda and David W. Corne and Jens Gottlieb and Agn\`es Guillot and Emma Hart and Colin G. Johnson and Elena Marchiori and Jean-Arcady Meyer and Martin Middendorf editors, Applications of Evolutionary Computing, EvoWorkshops2003: EvoBIO, EvoCOP, EvoIASP, EvoMUSART, EvoROB, EvoSTIM, volume 2611, pages 99-106, University of Essex, UK, 2003. Springer-Verlag. details

  33. Jason Moore and Joel Parker and Lance Hahn. Symbolic Discriminant Analysis for Mining Gene Expression Patterns. In Luc De Raedt and Peter Flach editors, 12th European Conference on Machine Learning (ECML'01), volume 2167, pages 372-381, Freiburg, Germany, 2001. Springer. details

Genetic Programming book chapters by Jason H Moore

  1. Jason H. Moore and Douglas P. Hill and Andrew Saykin and Li Shen. Exploring Interestingness in a Computational Evolution System for the Genome-Wide Genetic Analysis of Alzheimer's Disease. In Rick Riolo and Jason H. Moore and Mark Kotanchek editors, Genetic Programming Theory and Practice XI, chapter 2, pages 31-45. Springer, Ann Arbor, USA, 2013. details

  2. Jason H. Moore and Douglas P. Hill and Arvis Sulovari and LaCreis Kidd. Genetic Analysis of Prostate Cancer Using Computational Evolution, Pareto-Optimization and Post-processing. In Rick Riolo and Ekaterina Vladislavleva and Marylyn D. Ritchie and Jason H. Moore editors, Genetic Programming Theory and Practice X, chapter 7, pages 87-101. Springer, Ann Arbor, USA, 2012. details

  3. Christian Darabos and Mario Giacobini and Ting Hu and Jason H. Moore. A New Mutation Paradigm for Genetic Programming. In Rick Riolo and Ekaterina Vladislavleva and Marylyn D. Ritchie and Jason H. Moore editors, Genetic Programming Theory and Practice X, chapter 4, pages 45-58. Springer, Ann Arbor, USA, 2012. details

  4. Jason H. Moore and Douglas P. Hill and Jonathan M. Fisher and Nicole Lavender and La Creis Kidd. Human-Computer Interaction in a Computational Evolution System for the Genetic Analysis of Cancer. In Rick Riolo and Ekaterina Vladislavleva and Jason H. Moore editors, Genetic Programming Theory and Practice IX, chapter 9, pages 153-171. Springer, Ann Arbor, USA, 2011. details

  5. Kristine A. Pattin and Joshua L. Payne and Douglas P. Hill and Thomas Caldwell and Jonathan M. Fisher and Jason H. Moore. Exploiting Expert Knowledge of Protein-Protein Interactions in a Computational Evolution System for Detecting Epistasis. In Rick Riolo and Trent McConaghy and Ekaterina Vladislavleva editors, Genetic Programming Theory and Practice VIII, volume 8 of Genetic and Evolutionary Computation, chapter 12, pages 195-210. Springer, Ann Arbor, USA, 2010. details

  6. Casey S. Greene and Douglas P. Hill and Jason H. Moore. Environmental Sensing of Expert Knowledge in a Computational Evolution System for Complex Problem Solving in Human Genetics. In Rick L. Riolo and Una-May O'Reilly and Trent McConaghy editors, Genetic Programming Theory and Practice VII, chapter 2, pages 19-36. Springer, Ann Arbor, 2009. details

  7. Jason H. Moore and Casey S. Greene and Peter C. Andrews and Bill C. White. Does Complexity Matter? Artificial Evolution, Computational Evolution and the Genetic Analysis of Epistasis in Common Human Diseases. In Rick L. Riolo and Terence Soule and Bill Worzel editors, Genetic Programming Theory and Practice VI, chapter 9, pages 125-145. Springer, Ann Arbor, 2008. details

  8. Jason H. Moore and Nate Barney and Bill C. White. Solving Complex Problems in Human Genetics Using Genetic Programming: The Importance of Theorist-Practitioner-computer Interaction. In Rick L. Riolo and Terence Soule and Bill Worzel editors, Genetic Programming Theory and Practice V, chapter 5, pages 69-86. Springer, Ann Arbor, 2007. details

  9. Jason H. Moore and Bill C. White. Genome-Wide Genetic Analysis Using Genetic Programming: The Critical Need for Expert Knowledge. In Rick L. Riolo and Terence Soule and Bill Worzel editors, Genetic Programming Theory and Practice IV, volume 5 of Genetic and Evolutionary Computation, pages 11-28. Springer, Ann Arbor, 2006. details

  10. J. H. Moore and J. S. Parker. Evolutionary computation in microarray data analysis. In S. Lin and K. Johnson editors, Methods of Microarray Data Analysis, pages 23-35. Kluwer Academic Publishers, Boston, 2002. details

Genetic Programming other entries for Jason H Moore