Nicholas Matsumoto

According to our database, Nicholas Matsumoto authored at least 4 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Interaction models matter: an efficient, flexible computational framework for model-specific investigation of epistasis.

Sandra Batista, Vered Madar, Philip J. Freda, Priyanka Bhandary, Attri Ghosh, Nicholas Matsumoto, Apurva S. Chitre, Abraham A. Palmer, Jason H. Moore

BioData Min., 2024

2023

Aliro: an automated machine learning tool leveraging large language models.

Hyunjun Choi, Jay Moran, Nicholas Matsumoto, Miguel E. Hernandez, Jason H. Moore

Bioinform., October, 2023

TPOT2: A New Graph-Based Implementation of the Tree-Based Pipeline Optimization Tool for Automated Machine Learning.

Pedro Henrique Ribeiro, Anil Kumar Saini, Jay Moran, Nicholas Matsumoto, Hyunjun Choi, Miguel E. Hernandez, Jason H. Moore

Proceedings of the Genetic Programming Theory and Practice XX [GPTP 2023], 2023

Faster Convergence with Lexicase Selection in Tree-Based Automated Machine Learning.

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

Proceedings of the Genetic Programming - 26th European Conference, 2023