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2020 – today
- 2022
[j8]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): 878-880 (2022)- [j7]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): 1379-1386 (2022) - 2021
- [j6]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): 250-256 (2021) - [j5]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): 207-227 (2021) - 2020
- [j4]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): 250-256 (2020) - [j3]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): 430 (2020) - [c4]Trang T. Le, Weixuan Fu, Jason H. Moore:
Large scale biomedical data analysis with tree-based automated machine learning. GECCO Companion 2020: 21-22 - [i5]Joseph D. Romano, Trang T. Le, Weixuan Fu, Jason H. Moore:
Is deep learning necessary for simple classification tasks? CoRR abs/2006.06730 (2020) - [i4]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 abs/2012.00058 (2020)
2010 – 2019
- 2019
- [j2]Moshe Sipper, Weixuan Fu, Karuna Ahuja, Jason H. Moore:
Correction to: Investigating the parameter space of evolutionary algorithms. BioData Min. 12(1): 22:1 (2019) - [i3]William G. La Cava, Heather Williams, Weixuan Fu, Jason H. Moore:
Evaluating recommender systems for AI-driven data science. CoRR abs/1905.09205 (2019) - 2018
- [j1]Moshe Sipper, Weixuan Fu, Karuna Ahuja, Jason H. Moore:
Investigating the parameter space of evolutionary algorithms. BioData Min. 11(1): 2:1-2:14 (2018) - [c3]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 - [c2]Moshe Sipper, Weixuan Fu, Karuna Ahuja, Jason H. Moore:
Evolutionary computation: an investigation of parameter space. GECCO (Companion) 2018: 29-30 - 2017
- [c1]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: 121-134 - [i2]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 abs/1705.00594 (2017) - [i1]Moshe Sipper, Weixuan Fu, Karuna Ahuja, Jason H. Moore:
From MEGATON to RASCAL: Surfing the Parameter Space of Evolutionary Algorithms. CoRR abs/1706.04119 (2017)
Coauthor Index
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