Genetic Programming Bibliography entries for Randal S Olson
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Created by W.Langdon from
Ryan J Urbanowicz,
Peter C Andrews,
Nicole A Lavender,
La Creis Renee Kidd,
Jason H Moore,
Genetic Programming conference papers by Randal S Olson
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.
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.
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.
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.