Weixuan Fu

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 17

Top Topics

Feature Selection

Evolutionary Algorithm

Machine Learning

Top Venues

GECCO (Companion)

Publications

Elisabetta Manduchi, Trang T. Le, Weixuan Fu, Jason H. Moore
Genetic Analysis of Coronary Artery Disease Using Tree-Based Automated Machine Learning Informed By Biology-Based Feature Selection. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (3) (2022)
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
PMLB v1.0: an open-source dataset collection for benchmarking machine learning methods. Bioinform. 38 (3) (2022)
Joseph D. Romano, Trang T. Le, Weixuan Fu, Jason H. Moore
TPOT-NN: augmenting tree-based automated machine learning with neural network estimators. Genet. Program. Evolvable Mach. 22 (2) (2021)
William G. La Cava, Heather Williams, Weixuan Fu, Steven Vitale, Durga Srivatsan, Jason H. Moore
Evaluating recommender systems for AI-driven biomedical informatics. Bioinform. 37 (2) (2021)
Trang T. Le, William G. La Cava, Joseph D. Romano, John T. Gregg, Daniel J. Goldberg, Praneel Chakraborty, Natasha L. Ray, Daniel S. Himmelstein, Weixuan Fu, Jason H. Moore
PMLB v1.0: an open source dataset collection for benchmarking machine learning methods. CoRR (2020)
Joseph D. Romano, Trang T. Le, Weixuan Fu, Jason H. Moore
Is deep learning necessary for simple classification tasks? CoRR (2020)
Elisabetta Manduchi, Weixuan Fu, Joseph D. Romano, Stefano Ruberto, Jason H. Moore
Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses. BMC Bioinform. 21 (1) (2020)
Trang T. Le, Weixuan Fu, Jason H. Moore
Scaling tree-based automated machine learning to biomedical big data with a feature set selector. Bioinform. 36 (1) (2020)
Trang T. Le, Weixuan Fu, Jason H. Moore
Large scale biomedical data analysis with tree-based automated machine learning. GECCO Companion (2020)
William G. La Cava, Heather Williams, Weixuan Fu, Jason H. Moore
Evaluating recommender systems for AI-driven data science. CoRR (2019)
Moshe Sipper, Weixuan Fu, Karuna Ahuja, Jason H. Moore
Correction to: Investigating the parameter space of evolutionary algorithms. BioData Min. 12 (1) (2019)
Trang T. Le, Nigel O. Blackwood, Jaclyn N. Taroni, Weixuan Fu, Matthew K. Breitenstein
Integrated machine learning pipeline for aberrant biomarker enrichment (i-mAB): characterizing clusters of differentiation within a compendium of systemic lupus erythematosus patients. AMIA (2018)
Moshe Sipper, Weixuan Fu, Karuna Ahuja, Jason H. Moore
Evolutionary computation: an investigation of parameter space. GECCO (Companion) (2018)
Moshe Sipper, Weixuan Fu, Karuna Ahuja, Jason H. Moore
Investigating the parameter space of evolutionary algorithms. BioData Min. 11 (1) (2018)
Randal S. Olson, Moshe Sipper, William G. La Cava, Sharon Tartarone, Steven Vitale, Weixuan Fu, John H. Holmes, Jason H. Moore
A System for Accessible Artificial Intelligence. CoRR (2017)
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
A System for Accessible Artificial Intelligence. GPTP (2017)
Moshe Sipper, Weixuan Fu, Karuna Ahuja, Jason H. Moore
From MEGATON to RASCAL: Surfing the Parameter Space of Evolutionary Algorithms. CoRR (2017)