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2020 – today
- 2024
[j6]Joshua C. Smith, Brian D. Williamson, David J. Cronkite, Daniel Park, Jill M. Whitaker, Michael F. McLemore, Joshua Osmanski, Robert Winter, Arvind Ramaprasan, Ann Kelley, Mary Shea, Saranrat Wittayanukorn, Danijela Stojanovic, Yueqin Zhao, Sengwee Toh, Kevin B. Johnson, David Aronoff, David S. Carrell
:
Data-driven automated classification algorithms for acute health conditions: applying PheNorm to COVID-19 disease. J. Am. Medical Informatics Assoc. 31(3): 574-582 (2024)- [j5]David S. Carrell, James S. Floyd, Susan Gruber, Brian L. Hazlehurst, Patrick J. Heagerty, Jennifer C. Nelson, Brian D. Williamson, Robert Ball:
A general framework for developing computable clinical phenotype algorithms. J. Am. Medical Informatics Assoc. 31(8): 1785-1796 (2024) - 2023
- [i1]Brian D. Williamson, Drew King, Ying Huang:
Practical considerations for variable screening in the Super Learner. CoRR abs/2311.03313 (2023) - 2022
- [j4]Yiqun T. Chen, Brian D. Williamson, Taylor Okonek, Charles J. Wolock, Andrew J. Spieker, Travis Y. Hee Wai, James P. Hughes, Scott S. Emerson, Amy Willis:
rigr: Regression, Inference, and General Data Analysis Tools in R. J. Open Source Softw. 7(80): 4847 (2022) - 2021
- [j3]Brian D. Williamson, Craig A. Magaret, Peter B. Gilbert, Sohail Nizam, Courtney Simmons, David C. Benkeser:
Super LeArner Prediction of NAb Panels (SLAPNAP): a containerized tool for predicting combination monoclonal broadly neutralizing antibody sensitivity. Bioinform. 37(22): 4187-4192 (2021) - [j2]Sunwoo Han, Brian D. Williamson, Youyi Fong:
Improving random forest predictions in small datasets from two-phase sampling designs. BMC Medical Informatics Decis. Mak. 21(1): 322 (2021) - 2020
- [c2]Brian D. Williamson, Jean Feng:
Efficient nonparametric statistical inference on population feature importance using Shapley values. ICML 2020: 10282-10291
2010 – 2019
- 2019
- [j1]Craig A. Magaret, David C. Benkeser, Brian D. Williamson, Bhavesh Borate, Lindsay N. Carpp, Ivelin S. Georgiev, Ian Setliff, Adam S. Dingens, Noah Simon, Marco Carone, Christopher Simpkins, David C. Montefiori, Galit Alter, Wen-Han Yu, Michal Juraska, Paul Thatcher Edlefsen, Shelly Karuna, Nyaradzo M. Mgodi, Srilatha Edugupanti, Peter B. Gilbert:
Prediction of VRC01 neutralization sensitivity by HIV-1 gp160 sequence features. PLoS Comput. Biol. 15(4) (2019) - 2018
- [c1]Jean Feng, Brian D. Williamson, Marco Carone, Noah Simon:
Nonparametric variable importance using an augmented neural network with multi-task learning. ICML 2018: 1495-1504
Coauthor Index
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last updated on 2024-10-07 21:12 CEST by the dblp team
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