Weixuan Fu

According to our database, Weixuan Fu authored at least 16 papers between 2017 and 2022.

Collaborative distances:

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

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

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

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

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

2020

Is deep learning necessary for simple classification tasks?

Joseph D. Romano, Trang T. Le, Weixuan Fu, Jason H. Moore

CoRR, 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

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

Large scale biomedical data analysis with tree-based automated machine learning.

Trang T. Le, Weixuan Fu, Jason H. Moore

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

Evaluating recommender systems for AI-driven data science.

William G. La Cava, Heather Williams, Weixuan Fu, Jason H. Moore

CoRR, 2019

Correction to: Investigating the parameter space of evolutionary algorithms.

Moshe Sipper, Weixuan Fu, Karuna Ahuja, Jason H. Moore

BioData Min., 2019

2018

Investigating the parameter space of evolutionary algorithms.

Moshe Sipper, Weixuan Fu, Karuna Ahuja, Jason H. Moore

BioData Min., 2018

Evolutionary computation: an investigation of parameter space.

Moshe Sipper, Weixuan Fu, Karuna Ahuja, Jason H. Moore

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

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

Proceedings of the AMIA 2018, 2018

2017

From MEGATON to RASCAL: Surfing the Parameter Space of Evolutionary Algorithms.

Moshe Sipper, Weixuan Fu, Karuna Ahuja, Jason H. Moore

CoRR, 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

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

Proceedings of the Genetic Programming Theory and Practice XV, 2017