A System for Accessible Artificial Intelligence. - Randal S. Olson; Moshe Sipper; William G. La Cava; Sharon Tartarone; Steven Vitale; Weixuan Fu; Patryk Orzechowski; Ryan J. Urbanowicz; John H. Holmes; Jason H. Moore (GPTP, 2017)

A System for Accessible Artificial Intelligence. - Randal S. Olson; Moshe Sipper; William G. La Cava; Sharon Tartarone; Steven Vitale; Weixuan Fu; John H. Holmes; Jason H. Moore (CoRR, 2017)

From MEGATON to RASCAL: Surfing the Parameter Space of Evolutionary Algorithms. - Moshe Sipper; Weixuan Fu; Karuna Ahuja; Jason H. Moore (CoRR, 2017)

Integrated machine learning pipeline for aberrant biomarker enrichment (i-mAB): characterizing clusters of differentiation within a compendium of systemic lupus erythematosus patients. - Trang T. Le; Nigel O. Blackwood; Jaclyn N. Taroni; Weixuan Fu; Matthew K. Breitenstein (AMIA, 2018)

Evolutionary computation: an investigation of parameter space. - Moshe Sipper; Weixuan Fu; Karuna Ahuja; Jason H. Moore (GECCO (Companion), 2018)

Investigating the parameter space of evolutionary algorithms. - Moshe Sipper; Weixuan Fu; Karuna Ahuja; Jason H. Moore (BioData Min., 2018)

Correction to: Investigating the parameter space of evolutionary algorithms. - Moshe Sipper; Weixuan Fu; Karuna Ahuja; Jason H. Moore (BioData Min., 2019)

Evaluating recommender systems for AI-driven data science. - William G. La Cava; Heather Williams; Weixuan Fu; Jason H. Moore (CoRR, 2019)

Large scale biomedical data analysis with tree-based automated machine learning. - Trang T. Le; Weixuan Fu; Jason H. Moore (GECCO Companion, 2020)

Scaling tree-based automated machine learning to biomedical big data with a feature set selector. - Trang T. Le; Weixuan Fu; Jason H. Moore (Bioinform., 2020)

Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses. - Elisabetta Manduchi; Weixuan Fu; Joseph D. Romano; Stefano Ruberto; Jason H. Moore (BMC Bioinform., 2020)

Is deep learning necessary for simple classification tasks? - Joseph D. Romano; Trang T. Le; Weixuan Fu; Jason H. Moore (CoRR, 2020)

Evaluating recommender systems for AI-driven biomedical informatics. - William G. La Cava; Heather Williams; Weixuan Fu; Steven Vitale; Durga Srivatsan; Jason H. Moore (Bioinform., 2021)

TPOT-NN: augmenting tree-based automated machine learning with neural network estimators. - Joseph D. Romano; Trang T. Le; Weixuan Fu; Jason H. Moore (Genet. Program. Evolvable Mach., 2021)

PMLB v1.0: an open-source dataset collection for benchmarking machine learning methods. - Joseph D. Romano; Trang T. Le; William G. La Cava; John T. Gregg; Daniel J. Goldberg; Praneel Chakraborty; Natasha L. Ray; Daniel S. Himmelstein; Weixuan Fu; Jason H. Moore (Bioinform., 2022)

Genetic Analysis of Coronary Artery Disease Using Tree-Based Automated Machine Learning Informed By Biology-Based Feature Selection. - Elisabetta Manduchi; Trang T. Le; Weixuan Fu; Jason H. Moore (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)