Importance Sampling for Reliability Evaluation With Stochastic Simulation Models. - Youngjun Choe; Eunshin Byon; Nan Chen 002 (Technometrics, 2015)

Change-Point Detection on Solar Panel Performance Using Thresholded LASSO. - Youngjun Choe; Weihong Guo 001; Eunshin Byon; Jionghua (Judy) Jin; Jingjing Li (Qual. Reliab. Eng. Int., 2016)

Adaptive Learning in Time-Variant Processes With Application to Wind Power Systems. - Eunshin Byon; Youngjun Choe; Nattavut Yampikulsakul (IEEE Trans Autom. Sci. Eng., 2016)

Deep Learning Based Damage Detection on Post-Hurricane Satellite Imagery. - Quoc Dung Cao; Youngjun Choe (CoRR, 2018)

Benchmark Dataset for Automatic Damaged Building Detection from Post-Hurricane Remotely Sensed Imagery. - Sean Andrew Chen; Andrew Escay; Christopher Haberland; Tessa Schneider; Valentina Staneva; Youngjun Choe (CoRR, 2018)

Detecting Damaged Buildings on Post-Hurricane Satellite Imagery Based on Customized Convolutional Neural Networks. - Quoc Dung Cao; Youngjun Choe (IEEE DataPort, 2018)

Optimal Technology Refresh Strategies for Strategic DMSMS Management using Ranking and Selection. - James K. Starling; Youngjun Choe; Christina Mastrangelo (WSC, 2019)

Cross-entropy based importance sampling for stochastic simulation models. - Quoc Dung Cao; Youngjun Choe (Reliab. Eng. Syst. Saf., 2019)

Splitting Gaussian Process Regression for Streaming Data. - Nick Terry; Youngjun Choe (CoRR, 2020)

Post-Hurricane Damage Assessment Using Satellite Imagery and Geolocation Features. - Quoc Dung Cao; Youngjun Choe (CoRR, 2020)

Data-driven sparse polynomial chaos expansion for models with dependent inputs. - Zhanlin Liu; Youngjun Choe (CoRR, 2021)

Identifying DMSMS availability risk at the system level. - James K. Starling; Youngjun Choe; Christina Mastrangelo (Int. J. Prod. Res., 2021)

Improving Weibull distribution estimation for generalized Type I censored data using modified SMOTE. - James K. Starling; Christina Mastrangelo; Youngjun Choe (Reliab. Eng. Syst. Saf., 2021)

Identifying the Influential Inputs for Network Output Variance Using Sparse Polynomial Chaos Expansion. - Zhanlin Liu; Ashis G. Banerjee; Youngjun Choe (IEEE Trans Autom. Sci. Eng., 2021)

Infrastructure recovery curve estimation using Gaussian process regression on expert elicited data. - Quoc Dung Cao; Scott B. Miles; Youngjun Choe (Reliab. Eng. Syst. Saf., 2022)

Benchmark Dataset for Automatic Damaged Building Detection from Post-Hurricane Remotely Sensed Imagery. - Youngjun Choe; Valentina Staneva; Tessa Schneider; Andrew Escay; Christopher Haberland; Sean Andrew Chen (IEEE DataPort, 2022)

Street View Data Collection Design for Disaster Reconnaissance. - Nicole A. Errett; Joseph Wartman; Scott B. Miles; Ben Silver; Matthew Martell; Youngjun Choe (CoRR, 2023)

Open-source data pipeline for street-view images: a case study on community mobility during COVID-19 pandemic. - Matthew Martell; Nick Terry; Ribhu Sengupta; Chris Salazar; Nicole A. Errett; Scott B. Miles; Joseph Wartman; Youngjun Choe (CoRR, 2024)