Genetic Programming Bibliography entries for Collin Lynch
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Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
GP coauthors/coeditors:
Kevin D Ashley,
Niels Pinkwart,
Vincent Aleven,
Linting Xue,
Min Chi,
Genetic Programming conference papers by Collin Lynch
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Linting Xue and Collin F. Lynch and Min Chi.
Mining Innovative Augmented Graph Grammars for Argument Diagrams through Novelty Selection. In
Xiangen Hu and Tiffany Barnes and Arnon Hershkovitz and Luc Paquette editors,
Proceedings of the 10th International Conference on Educational Data Mining (EDM 2017), pages 296-301, Wuhan China, 2017. International Educational Data Mining Society.
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Linting Xue and Collin F. Lynch and Min Chi.
Unnatural Feature Engineering: Evolving Augmented Graph Grammars for Argument Diagrams. In
Tiffany Barnes and Min Chi and Mingyu Feng editors,
Proceedings of the 2016 Conference on Educational Data Mining, EDM16, pages 255-262, Raleigh, USA, 2016. International Educational Data Mining Society.
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Collin F. Lynch and Linting Xue and Min Chi.
Evolving Augmented Graph Grammars for Argument Analysis. 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 2016 Companion Volume, pages 65-66, Denver, USA, 2016. ACM.
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Collin Lynch and Kevin D. Ashley and Niels Pinkwart and Vincent Aleven.
Argument graph classification with Genetic Programming and C4.5. In
Ryan Shaun Joazeiro de Baker and Tiffany Barnes and Joseph E. Beck editors,
The 1st International Conference on Educational Data Mining 2008, pages 137-146, Montreal, Quebec, Canada, 2008. www.educationaldatamining.org.
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