Nicholas Matsumoto

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 5

Top Topics

Computational Framework

Top Venues

Publications

Sandra Batista, Vered Madar, Philip J. Freda, Priyanka Bhandary, Attri Ghosh, Nicholas Matsumoto, Apurva S. Chitre, Abraham A. Palmer, Jason H. Moore
Interaction models matter: an efficient, flexible computational framework for model-specific investigation of epistasis. BioData Min. 17 (1) (2024)
Hyunjun Choi, Jay Moran, Nicholas Matsumoto, Miguel E. Hernandez, Jason H. Moore
Aliro: an automated machine learning tool leveraging large language models. Bioinform. 39 (10) (2023)
Nicholas Matsumoto, Anil Kumar Saini, Pedro Henrique Ribeiro, Hyunjun Choi, Alena Orlenko, Leo-Pekka Lyytikäinen, Jari O. Laurikka, Terho Lehtimäki, Sandra Batista, Jason H. Moore
Faster Convergence with Lexicase Selection in Tree-based Automated Machine Learning. CoRR (2023)
Nicholas Matsumoto, Anil Kumar Saini, Pedro Henrique Ribeiro, Hyunjun Choi, Alena Orlenko, Leo-Pekka Lyytikäinen, Jari O. Laurikka, Terho Lehtimäki, Sandra Batista, Jason H. Moore
Faster Convergence with Lexicase Selection in Tree-Based Automated Machine Learning. EuroGP (2023)
Pedro Henrique Ribeiro, Anil Kumar Saini, Jay Moran, Nicholas Matsumoto, Hyunjun Choi, Miguel E. Hernandez, Jason H. Moore
TPOT2: A New Graph-Based Implementation of the Tree-Based Pipeline Optimization Tool for Automated Machine Learning. GPTP (2023)