Genetic Programming Bibliography entries for Nicholas Matsumoto

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GP coauthors/coeditors: Anil Kumar Saini, Pedro Ribeiro Mendes Junior, Hyunjun Choi, Alena Orlenko, Leo-Pekka Lyytikainen, Jari O Laurikka, Terho Lehtimaki, Sandra Batista, Jason H Moore, Pedro Henrique Ribeiro, Jay Moran, Miguel E Hernandez,

Genetic Programming conference papers by Nicholas Matsumoto

• Pedro Ribeiro and Anil Saini and Jay Moran and Nicholas Matsumoto and Hyunjun Choi and Miguel Hernandez and Jason H. Moore. TPOT2: A New Graph-Based Implementation of the Tree-Based Pipeline Optimization Tool for Automated Machine Learning. In Stephan Winkler and Leonardo Trujillo and Charles Ofria and Ting Hu editors, Genetic Programming Theory and Practice XX, pages 1-17, Michigan State University, USA, 2023. Springer. details

• Nicholas Matsumoto and Anil Kumar Saini and Pedro Ribeiro and Hyunjun Choi and Alena Orlenko and Leo-Pekka Lyytikainen and Jari O. Laurikka and Terho Lehtimaki and Sandra Batista and Jason H. Moore. Faster Convergence with Lexicase Selection in Tree-based Automated Machine Learning. In Gisele Pappa and Mario Giacobini and Zdenek Vasicek editors, EuroGP 2023: Proceedings of the 26th European Conference on Genetic Programming, volume 13986, pages 165-181, Brno, Czech Republic, 2023. Springer Verlag. details

Genetic Programming book chapters by Nicholas Matsumoto

• Jason H. Moore and Pedro H. Ribeiro and Nicholas Matsumoto and Anil K. Saini. Genetic Programming as an Innovation Engine for Automated Machine Learning: The Tree-Based Pipeline Optimization Tool (TPOT). In Wolfgang Banzhaf and Penousal Machado and Mengjie Zhang editors, Handbook of Evolutionary Machine Learning, pages 439-455. Springer Nature, Singapore, 2023. details