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 (EuroGP, 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 (GPTP, 2023)

Aliro: an automated machine learning tool leveraging large language models. - Hyunjun Choi; Jay Moran; Nicholas Matsumoto; Miguel E. Hernandez; Jason H. Moore (Bioinform., 2023)

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)

PAGER: A novel genotype encoding strategy for modeling deviations from additivity in complex trait association studies. - Philip J. Freda; Attri Ghosh; Priyanka Bhandary; Nicholas Matsumoto; Apurva S. Chitre; Jiayan Zhou; Molly A. Hall; Abraham A. Palmer; Tayo Obafemi-Ajayi; Jason H. Moore (BioData Min., 2024)

Distinct network patterns emerge from Cartesian and XOR epistasis models: a comparative network science analysis. - Zhendong Sha; Philip J. Freda; Priyanka Bhandary; Attri Ghosh; Nicholas Matsumoto; Jason H. Moore; Ting Hu 001 (BioData Min., 2024)

Drug repurposing for Alzheimer's disease using a graph-of-thoughts based large language model to infer drug-disease relationships in a comprehensive knowledge graph. - Zhiping Paul Wang; Xi Li; Nicholas Matsumoto; Mythreye Venkatesan; Jui-Hsuan Chang; Jay Moran; Hyunjun Choi; Binglan Li; Yufei Meng; Miguel E. Hernandez; Jason H. Moore (BioData Min., 2025)

AI-driven Automation of End-to-end Assessment of Suturing Expertise. - Atharva Deo; Nicholas Matsumoto; Sun Kim; Peter Wager; Randy G. Tsai; Aaron Denmark; Cherine Yang; Xi Li; Jay Moran; Miguel Hernandez; Andrew J. Hung (CoRR, 2025)

StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis. - Jose Guadalupe Hernandez; Attri Ghosh; Philip J. Freda; Yufei Meng; Nicholas Matsumoto; Jason H. Moore (CoRR, 2025)