Genetic Programming Bibliography entries for Alison A Motsinger
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GP coauthors/coeditors:
William S Bush,
Scott M Dudek,
Marylyn D Ritchie,
Sushamna Deodhar,
Nicholas E Hardison,
Theresa J Fanelli,
David M Reif,
Kristopher Hoover,
Rachel Marceau,
Tyndall Harris,
Stephen L Lee,
George Mellick,
Lance W Hahn,
Kelli K Ryckman,
Anna C Davis,
Christopher S Coffey,
Jason H Moore,
Genetic Programming Articles by Alison A Motsinger
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Alison A Motsinger-Reif and Theresa J Fanelli and Anna C Davis and Marylyn D Ritchie.
Power of grammatical evolution neural networks to detect gene-gene interactions in the presence of error.
BMC Research Notes, 1(65) 2008.
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Alison A Motsinger-Reif and Marylyn D Ritchie.
Neural networks for genetic epidemiology: past, present, and future.
BioData Mining, 1(3) 2008.
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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.
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Alison A Motsinger and Stephen L Lee and George Mellick and Marylyn D Ritchie.
GPNN: Power studies and applications of a neural network method for detecting gene-gene interactions in studies of human disease.
BMC bioinformatics [electronic resource], 7(1):39-39, 2006.
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Genetic Programming conference papers by Alison A Motsinger
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Kristopher Hoover and Rachel Marceau and Tyndall Harris and Nicholas Hardison and David Reif and Alison Motsinger-Reif.
Optimization of grammatical evolution decision trees. In
Natalio Krasnogor and Pier Luca Lanzi and Andries Engelbrecht and David Pelta and Carlos Gershenson and Giovanni Squillero and Alex Freitas and Marylyn Ritchie and Mike Preuss and Christian Gagne and Yew Soon Ong and Guenther Raidl and Marcus Gallager and Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and Nikolaus Hansen and Silja Meyer-Nieberg and Jim Smith and Gus Eiben and Ester Bernado-Mansilla and Will Browne and Lee Spector and Tina Yu and Jeff Clune and Greg Hornby and Man-Leung Wong and Pierre Collet and Steve Gustafson and Jean-Paul Watson and Moshe Sipper and Simon Poulding and Gabriela Ochoa and Marc Schoenauer and Carsten Witt and Anne Auger editors,
GECCO '11: Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, pages 35-36, Dublin, Ireland, 2011. ACM.
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Nicholas E. Hardison and Alison A. Motsinger-Reif.
The power of quantitative grammatical evolution neural networks to detect gene-gene interactions. In
Natalio Krasnogor and Pier Luca Lanzi and Andries Engelbrecht and David Pelta and Carlos Gershenson and Giovanni Squillero and Alex Freitas and Marylyn Ritchie and Mike Preuss and Christian Gagne and Yew Soon Ong and Guenther Raidl and Marcus Gallager and Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and Nikolaus Hansen and Silja Meyer-Nieberg and Jim Smith and Gus Eiben and Ester Bernado-Mansilla and Will Browne and Lee Spector and Tina Yu and Jeff Clune and Greg Hornby and Man-Leung Wong and Pierre Collet and Steve Gustafson and Jean-Paul Watson and Moshe Sipper and Simon Poulding and Gabriela Ochoa and Marc Schoenauer and Carsten Witt and Anne Auger editors,
GECCO '11: Proceedings of the 13th annual conference on Genetic and evolutionary computation, pages 299-306, Dublin, Ireland, 2011. ACM.
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Sushamna Deodhar and Alison A. Motsinger-Reif.
Grammatical Evolution Decision Trees for Detecting Gene-Gene Interactions. In
Clara Pizzuti and Marylyn D. Ritchie and Mario Giacobini editors,
8th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (EvoBIO 2010), volume 6023, pages 98-109, Istanbul, Turkey, 2010. Springer.
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Nicholas E. Hardison and Theresa J. Fanelli and Scott M. Dudek and David M. Reif and Marylyn D. Ritchie and Alison A. Motsinger-Reif.
A balanced accuracy fitness function leads to robust analysis using grammatical evolution neural networks in the case of class imbalance. 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 353-354, Atlanta, GA, USA, 2008. ACM.
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Alison A. Motsinger and David M. Reif and Theresa J. Fanelli and Anna C. Davis and Marylyn D. Ritchie.
Linkage Disequilibrium in Genetic Association Studies Improves the Performance of Grammatical Evolution Neural Networks. In
IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology, CIBCB '07, pages 1-8, Honolulu, HI, USA, 2007. IEEE.
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Alison A. Motsinger and David M. Reif and Scott M. Dudek and Marylyn D. Ritchie.
Understanding the Evolutionary Process of Grammatical Evolution Neural Networks for Feature Selection in Genetic Epidemiology. In
Dan Ashlock editor,
IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology, CIBCB '06, pages 1-8, Toronto, Canada, 2006. IEEE.
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Alison A. Motsinger and Lance W. Hahn and Scott M. Dudek and Kelli K. Ryckman and Marylyn D. Ritchie.
Alternative cross-over strategies and selection techniques for grammatical evolution optimized neural networks. In
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, volume 1, pages 947-948, Seattle, Washington, USA, 2006. ACM Press.
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William S. Bush and Alison A. Motsinger and Scott M. Dudek and Marylyn D. Ritchie.
Can neural network constraints in GP provide power to detect genes associated with human disease?. In
Franz Rothlauf and Juergen Branke and Stefano Cagnoni and David W. Corne and Rolf Drechsler and Yaochu Jin and Penousal Machado and Elena Marchiori and Juan Romero and George D. Smith and Giovanni Squillero editors,
Applications of Evolutionary Computing, EvoWorkshops2005: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, EvoSTOC, volume 3449, pages 44-53, Lausanne, Switzerland, 2005. Springer Verlag.
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