Weixuan Fu

17 papers Misc 1Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2022 J jnl
Genetic Analysis of Coronary Artery Disease Using Tree-Based Automated Machine Learning Informed By Biology-Based Feature Selection.
IEEE ACM Trans. Comput. Biol. Bioinform.
Elisabetta Manduchi, Trang T. Le, Weixuan Fu, Jason H. Moore
2022 J jnl
PMLB v1.0: an open-source dataset collection for benchmarking machine learning methods.
Bioinform.
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
2021 J jnl
Evaluating recommender systems for AI-driven biomedical informatics.
Bioinform.
William G. La Cava, Heather Williams, Weixuan Fu, Steven Vitale, Durga Srivatsan, Jason H. Moore
2021 J jnl
TPOT-NN: augmenting tree-based automated machine learning with neural network estimators.
Genet. Program. Evolvable Mach.
Joseph D. Romano, Trang T. Le, Weixuan Fu, Jason H. Moore
2020 J jnl
Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses.
BMC Bioinform.
Elisabetta Manduchi, Weixuan Fu, Joseph D. Romano, Stefano Ruberto, Jason H. Moore
2020 J jnl
Is deep learning necessary for simple classification tasks?
CoRR
Joseph D. Romano, Trang T. Le, Weixuan Fu, Jason H. Moore
2020 — conf
Large scale biomedical data analysis with tree-based automated machine learning.
GECCO Companion
Trang T. Le, Weixuan Fu, Jason H. Moore
2020 J jnl
PMLB v1.0: an open source dataset collection for benchmarking machine learning methods.
CoRR
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
2020 J jnl
Scaling tree-based automated machine learning to biomedical big data with a feature set selector.
Bioinform.
Trang T. Le, Weixuan Fu, Jason H. Moore
2019 J jnl
Correction to: Investigating the parameter space of evolutionary algorithms.
BioData Min.
Moshe Sipper, Weixuan Fu, Karuna Ahuja, Jason H. Moore
2019 J jnl
Evaluating recommender systems for AI-driven data science.
CoRR
William G. La Cava, Heather Williams, Weixuan Fu, Jason H. Moore
2018 — conf
Evolutionary computation: an investigation of parameter space.
GECCO (Companion)
Moshe Sipper, Weixuan Fu, Karuna Ahuja, Jason H. Moore
2018 Misc conf
Integrated machine learning pipeline for aberrant biomarker enrichment (i-mAB): characterizing clusters of differentiation within a compendium of systemic lupus erythematosus patients.
AMIA
Trang T. Le, Nigel O. Blackwood, Jaclyn N. Taroni, Weixuan Fu, Matthew K. Breitenstein
2018 J jnl
Investigating the parameter space of evolutionary algorithms.
BioData Min.
Moshe Sipper, Weixuan Fu, Karuna Ahuja, Jason H. Moore
2017 — conf
A System for Accessible Artificial Intelligence.
GPTP
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
2017 J jnl
A System for Accessible Artificial Intelligence.
CoRR
Randal S. Olson, Moshe Sipper, William G. La Cava, Sharon Tartarone, Steven Vitale, Weixuan Fu, John H. Holmes, Jason H. Moore
2017 J jnl
From MEGATON to RASCAL: Surfing the Parameter Space of Evolutionary Algorithms.
CoRR
Moshe Sipper, Weixuan Fu, Karuna Ahuja, Jason H. Moore