Weixuan Fu

发表

Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses

Joseph D. Romano, Stefano Ruberto, E. Manduchi, 2020, BMC Bioinformatics.

Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses

Jason H. Moore, Elisabetta Manduchi, Weixuan Fu, 2020, bioRxiv.

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, Weixuan Fu, Matthew K. Breitenstein, 2018, AMIA.

Scaling tree-based automated machine learning to biomedical big data with a feature set selector

Trang T. Le, Weixuan Fu, Jason H Moore, 2019, Bioinform..

Scaling tree-based automated machine learning to biomedical big data with a dataset selector

Trang T. Le, Weixuan Fu, Jason H. Moore, 2018, bioRxiv.

Genetic analysis of coronary artery disease using tree-based automated machine learning informed by biology-based feature selection

Trang T. Le, E. Manduchi, J. Moore, 2021, bioRxiv.

PMLB v1.0: an open source dataset collection for benchmarking machine learning methods pdf

Jason H. Moore, William La Cava, Trang T. Le, 2020, ArXiv.

A System for Accessible Artificial Intelligence pdf

Randal S. Olson, Jason H. Moore, Moshe Sipper, 2017, GPTP.

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

Jason H. Moore, Trang T. Le, Weixuan Fu, 2020, GECCO Companion.

Investigating the parameter space of evolutionary algorithms

Jason H. Moore, Moshe Sipper, Weixuan Fu, 2017, BioData Mining.

TPOT-NN: augmenting tree-based automated machine learning with neural network estimators pdf

Jason H. Moore, Trang T. Le, Weixuan Fu, 2020, Genetic Programming and Evolvable Machines.