Genetic Programming Bibliography entries for David M Reif
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Created by W.Langdon from
Nicholas E Hardison,
Theresa J Fanelli,
Scott M Dudek,
Marylyn D Ritchie,
Alison A Motsinger,
Anna C Davis,
Bill C White,
Nancy J Olsen,
Thomas M Aune,
Jason H Moore,
Joshua C Gilbert,
Genetic Programming Articles by David M Reif
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.
Genetic Programming conference papers by David M Reif
Kristopher Hoover and Rachel Marceau and Tyndall Harris and David Reif and Alison Motsinger-Reif.
A comparison of GE optimized neural networks and decision trees. In
Alison Motsinger-Reif editor,
GECCO 2012 Graduate Students Workshop, pages 611-614, Philadelphia, Pennsylvania, USA, 2012. ACM.
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.
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.
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.
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.
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.
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.