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2020 – today
- 2024
[i7]Matthew Martell, Nick Terry, Ribhu Sengupta, Chris Salazar, Nicole A. Errett, Scott B. Miles, Joseph Wartman, Youngjun Choe:
Open-source data pipeline for street-view images: a case study on community mobility during COVID-19 pandemic. CoRR abs/2401.13087 (2024)- 2023
- [i6]Nicole A. Errett, Joseph Wartman, Scott B. Miles, Ben Silver, Matthew Martell, Youngjun Choe:
Street View Data Collection Design for Disaster Reconnaissance. CoRR abs/2308.06284 (2023) - 2022
- [j8]Quoc Dung Cao, Scott B. Miles
, Youngjun Choe:
Infrastructure recovery curve estimation using Gaussian process regression on expert elicited data. Reliab. Eng. Syst. Saf. 217: 108054 (2022) - [d2]Youngjun Choe, Valentina Staneva, Tessa Schneider, Andrew Escay, Christopher Haberland, Sean Andrew Chen:
Benchmark Dataset for Automatic Damaged Building Detection from Post-Hurricane Remotely Sensed Imagery. IEEE DataPort, 2022
- 2021
- [j7]James K. Starling, Youngjun Choe, Christina Mastrangelo:
Identifying DMSMS availability risk at the system level. Int. J. Prod. Res. 59(10): 2905-2925 (2021) - [j6]James K. Starling, Christina Mastrangelo, Youngjun Choe:
Improving Weibull distribution estimation for generalized Type I censored data using modified SMOTE. Reliab. Eng. Syst. Saf. 211: 107505 (2021) - [j5]Zhanlin Liu, Ashis G. Banerjee, Youngjun Choe:
Identifying the Influential Inputs for Network Output Variance Using Sparse Polynomial Chaos Expansion. IEEE Trans Autom. Sci. Eng. 18(3): 1026-1036 (2021) - [i5]Zhanlin Liu, Youngjun Choe:
Data-driven sparse polynomial chaos expansion for models with dependent inputs. CoRR abs/2101.07997 (2021) - 2020
- [i4]Nick Terry, Youngjun Choe:
Splitting Gaussian Process Regression for Streaming Data. CoRR abs/2010.02424 (2020) - [i3]Quoc Dung Cao, Youngjun Choe:
Post-Hurricane Damage Assessment Using Satellite Imagery and Geolocation Features. CoRR abs/2012.08624 (2020)
2010 – 2019
- 2019
- [j4]Quoc Dung Cao, Youngjun Choe:
Cross-entropy based importance sampling for stochastic simulation models. Reliab. Eng. Syst. Saf. 191 (2019) - [c1]James K. Starling, Youngjun Choe, Christina Mastrangelo:
Optimal Technology Refresh Strategies for Strategic DMSMS Management using Ranking and Selection. WSC 2019: 2524-2535 - 2018
- [d1]Quoc Dung Cao, Youngjun Choe:
Detecting Damaged Buildings on Post-Hurricane Satellite Imagery Based on Customized Convolutional Neural Networks. IEEE DataPort, 2018 - [i2]Quoc Dung Cao, Youngjun Choe:
Deep Learning Based Damage Detection on Post-Hurricane Satellite Imagery. CoRR abs/1807.01688 (2018) - [i1]Sean Andrew Chen, Andrew Escay, Christopher Haberland, Tessa Schneider, Valentina Staneva, Youngjun Choe:
Benchmark Dataset for Automatic Damaged Building Detection from Post-Hurricane Remotely Sensed Imagery. CoRR abs/1812.05581 (2018) - 2016
- [j3]Youngjun Choe, Weihong Guo, Eunshin Byon, Jionghua (Judy) Jin, Jingjing Li:
Change-Point Detection on Solar Panel Performance Using Thresholded LASSO. Qual. Reliab. Eng. Int. 32(8): 2653-2665 (2016) - [j2]Eunshin Byon, Youngjun Choe, Nattavut Yampikulsakul:
Adaptive Learning in Time-Variant Processes With Application to Wind Power Systems. IEEE Trans Autom. Sci. Eng. 13(2): 997-1007 (2016) - 2015
- [j1]Youngjun Choe, Eunshin Byon, Nan Chen:
Importance Sampling for Reliability Evaluation With Stochastic Simulation Models. Technometrics 57(3): 351-361 (2015)
Coauthor Index
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