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Howard H. Chang
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2020 – today
- 2022
- [j10]Qu Cheng
, Philip A. Collender
, Alexandra K. Heaney, Aidan Mcloughlin
, Yang Yang
, Yuzi Zhang, Jennifer R. Head, Rohini Dasan
, Song Liang, Qiang Lv, Yaqiong Liu, Changhong Yang
, Howard H. Chang, Lance A. Waller
, Jon Zelner
, Joseph A. Lewnard, Justin V. Remais
:
Optimizing laboratory-based surveillance networks for monitoring multi-genotype or multi-serotype infections. PLoS Comput. Biol. 18(9): 1010575 (2022) - 2021
- [j9]Behzad Kianian
, Yang Liu
, Howard H. Chang
:
Imputing Satellite-Derived Aerosol Optical Depth Using a Multi-Resolution Spatial Model and Random Forest for PM2.5 Prediction. Remote. Sens. 13(1): 126 (2021) - 2020
- [j8]Rui Duan
, Mary Regina Boland
, Zixuan Liu, Yue Liu, Howard H. Chang, Hua Xu, Haitao Chu, Christopher H. Schmid
, Christopher B. Forrest, John H. Holmes, Martijn J. Schuemie
, Jesse A. Berlin, Jason H. Moore, Yong Chen
:
Learning from electronic health records across multiple sites: A communication-efficient and privacy-preserving distributed algorithm. J. Am. Medical Informatics Assoc. 27(3): 376-385 (2020) - [j7]Rui Duan, Chongliang Luo
, Martijn J. Schuemie
, Jiayi Tong, C. Jason Liang, Howard H. Chang, Mary Regina Boland
, Jiang Bian, Hua Xu
, John H. Holmes, Christopher B. Forrest, Sally C. Morton, Jesse A. Berlin, Jason H. Moore, Kevin B. Mahoney, Yong Chen:
Learning from local to global: An efficient distributed algorithm for modeling time-to-event data. J. Am. Medical Informatics Assoc. 27(7): 1028-1036 (2020) - [j6]Qu Cheng
, Philip A. Collender
, Alexandra K. Heaney, Xintong Li
, Rohini Dasan
, Charles Li
, Joseph A. Lewnard
, Jonathan L. Zelner, Song Liang, Howard H. Chang, Lance A. Waller
, Benjamin A. Lopman
, Changhong Yang, Justin V. Remais
:
The DIOS framework for optimizing infectious disease surveillance: Numerical methods for simulation and multi-objective optimization of surveillance network architectures. PLoS Comput. Biol. 16(12) (2020)
2010 – 2019
- 2018
- [j5]Suyan Tian
, Chi Wang, Howard H. Chang:
A longitudinal feature selection method identifies relevant genes to distinguish complicated injury and uncomplicated injury over time. BMC Medical Informatics Decis. Mak. 18(S-5): 89-96 (2018) - [i2]Suyan Tian
, Chi Wang, Howard H. Chang:
To select relevant features for longitudinal gene expression data by extending a pathway analysis method. F1000Research 7: 1166 (2018) - 2017
- [j4]Isabel Chen, Michele Benzi
, Howard H. Chang, Vicki Stover Hertzberg:
Dynamic communicability and epidemic spread: a case study on an empirical dynamic contact network. J. Complex Networks 5(2): 274-302 (2017) - 2016
- [j3]Suyan Tian
, Howard H. Chang, Dana Orange, Jingkai Gu
, Mayte Suárez-Fariñas
:
A Bioequivalence Test by the Direct Comparison of Concentration-versus-Time Curves Using Local Polynomial Smoothers. Comput. Math. Methods Medicine 2016: 4680642:1-4680642:6 (2016) - [i1]Isabel Chen, Michele Benzi, Howard H. Chang, Vicki Stover Hertzberg:
Dynamic communicability and epidemic spread: a case study on an empirical dynamic contact network. CoRR abs/1601.07586 (2016) - 2014
- [j2]Suyan Tian
, Howard H. Chang, Chi Wang, Jing Jiang, Xiaomei Wang, Junqi Niu:
Multi-TGDR, a multi-class regularization method, identifies the metabolic profiles of hepatocellular carcinoma and cirrhosis infected with hepatitis B or hepatitis C virus. BMC Bioinform. 15: 97 (2014) - 2013
- [j1]Radhika Dhingra, Violeta Jimenez, Howard H. Chang, Manoj Gambhir
, Joshua S. Fu
, Yang Liu
, Justin V. Remais
:
Spatially-Explicit Simulation Modeling of Ecological Response to Climate Change: Methodological Considerations in Predicting Shifting Population Dynamics of Infectious Disease Vectors. ISPRS Int. J. Geo Inf. 2(3): 645-664 (2013)
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last updated on 2024-08-23 18:34 CEST by the dblp team
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