Genetic Programming Bibliography entries for Scott M Dudek
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Created by W.Langdon from
William S Bush,
Alison A Motsinger,
Marylyn D Ritchie,
Nicholas E Hardison,
Theresa J Fanelli,
David M Reif,
Emily Rose Holzinger,
Carrie C Buchanan,
Eric C Torstenson,
Stephen D Turner,
Alex T Frase,
Brooke L Fridley,
Sarah A Pendergrass,
Molly A Hall,
Peggy L Peissig,
Murray H Brilliant,
James G Linneman,
Catherine A McCarty,
Lance W Hahn,
Kelli K Ryckman,
Shefali S Verma,
Genetic Programming Articles by Scott M Dudek
Genetic Programming conference papers by Scott M Dudek
Pankhuri Singhal and Shefali S. Verma and Scott M. Dudek and Marylyn D. Ritchie.
Neural network-based multiomics data integration in Alzheimer's disease. In
Richard Allmendinger and Carlos Cotta and Carola Doerr and Pietro S. Oliveto and Thomas Weise and Ales Zamuda and Anne Auger and Dimo Brockhoff and Nikolaus Hansen and Tea Tusar and Konstantinos Varelas and David Camacho-Fernandez and Massimiliano Vasile and Annalisa Riccardi and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Ozgur Akman and Khulood Alyahya and Juergen Branke and Jonathan Fieldsend and Tinkle Chugh and Jussi Hakanen and Josu Ceberio Uribe and Valentino Santucci and Marco Baioletti and John McCall and Emma Hart and Daniel R. Tauritz and John R. Woodward and Koichi Nakayama and Chika Oshima and Stefan Wagner and Michael Affenzeller and Eneko Osaba and Javier Del Ser and Pascal Kerschke and Boris Naujoks and Vanessa Volz and Anna I Esparcia-Alcazar and Riyad Alshammari and Erik Hemberg and Tokunbo Makanju and Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Walker and Matt Johns and Nick Ross and Ed Keedwell and Masaya Nakata and Anthony Stein and Takato Tatsumi and Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Stephen Smith and Stefano Cagnoni and Robert M. Patton and William La Cava and Randal Olson and Patryk Orzechowski and Ryan Urbanowicz and Akira Oyama and Koji Shimoyama and Hemant Kumar Singh and Kazuhisa Chiba and Pramudita Satria Palar and Alma Rahat and Richard Everson and Handing Wang and Yaochu Jin and Marcus Gallagher and Mike Preuss and Olivier Teytaud and Fernando Lezama and Joao Soares and Zita Vale editors,
GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 403-404, Prague, Czech Republic, 2019. ACM.
Emily R. Holzinger and Scott M. Dudek and Alex T. Frase and Brooke Fridley and Prabhakar Chalise and Marylyn D. Ritchie.
Comparison of methods for meta-dimensional data analysis using in silico and biological data sets. 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 134-143, Malaga, Spain, 2012. Springer Verlag.
Stephen D. Turner and Scott M. Dudek and Marylyn D. Ritchie.
Grammatical Evolution of Neural Networks for Discovering Epistasis among Quantitative Trait Loci. 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 86-97, Istanbul, Turkey, 2010. Springer.
Emily Rose Holzinger and Carrie C. Buchanan and Scott M. Dudek and Eric C. Torstenson and Stephen D. Turner and Marylyn D. Ritchie.
Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of small main effects. In
Juergen Branke and Martin Pelikan and Enrique Alba and Dirk V. Arnold and Josh Bongard and Anthony Brabazon and Juergen Branke and Martin V. Butz and Jeff Clune and Myra Cohen and Kalyanmoy Deb and Andries P Engelbrecht and Natalio Krasnogor and Julian F. Miller and Michael O'Neill and Kumara Sastry and Dirk Thierens and Jano van Hemert and Leonardo Vanneschi and Carsten Witt editors,
GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation, pages 203-210, Portland, Oregon, USA, 2010. 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 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.
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.
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.
Genetic Programming book chapters by Scott M Dudek
Ruowang Li and Emily R. Holzinger and Scott M. Dudek and Marylyn D. Ritchie.
Evaluation of Parameter Contribution to Neural Network Size and Fitness in ATHENA for Genetic Analysis. In
Rick Riolo and Jason H. Moore and Mark Kotanchek editors,
Genetic Programming Theory and Practice XI, chapter 12, pages 211-224. Springer, Ann Arbor, USA, 2013.
Marylyn D. Ritchie and Emily R. Holzinger and Scott M. Dudek and Alex T. Frase and Prabhakar Chalise and Brooke Fridley.
Meta-Dimensional Analysis of Phenotypes Using the Analysis Tool for Heritable and Environmental Network Associations (ATHENA): Challenges with Building Large Networks. In
Rick Riolo and Ekaterina Vladislavleva and Marylyn D. Ritchie and Jason H. Moore editors,
Genetic Programming Theory and Practice X, chapter 8, pages 103-115. Springer, Ann Arbor, USA, 2012.