Youngjun Choe

According to our database, Youngjun Choe authored at least 18 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

2023

Street View Data Collection Design for Disaster Reconnaissance.

Nicole A. Errett, Joseph Wartman, Scott B. Miles, Ben Silver, Matthew Martell, Youngjun Choe

CoRR, 2023

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

Dataset, March, 2022

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

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

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 DMSMS availability risk at the system level.

James K. Starling, Youngjun Choe, Christina Mastrangelo

Int. J. Prod. Res., 2021

Data-driven sparse polynomial chaos expansion for models with dependent inputs.

Zhanlin Liu, Youngjun Choe

CoRR, 2021

2020

Post-Hurricane Damage Assessment Using Satellite Imagery and Geolocation Features.

Quoc Dung Cao, Youngjun Choe

CoRR, 2020

Splitting Gaussian Process Regression for Streaming Data.

Nick Terry, Youngjun Choe

CoRR, 2020

2019

Cross-entropy based importance sampling for stochastic simulation models.

Quoc Dung Cao, Youngjun Choe

Reliab. Eng. Syst. Saf., 2019

Optimal Technology Refresh Strategies for Strategic DMSMS Management using Ranking and Selection.

James K. Starling, Youngjun Choe, Christina Mastrangelo

Proceedings of the 2019 Winter Simulation Conference, 2019

2018

Detecting Damaged Buildings on Post-Hurricane Satellite Imagery Based on Customized Convolutional Neural Networks.

Quoc Dung Cao, Youngjun Choe

Dataset, December, 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

Deep Learning Based Damage Detection on Post-Hurricane Satellite Imagery.

Quoc Dung Cao, Youngjun Choe

CoRR, 2018

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

Change-Point Detection on Solar Panel Performance Using Thresholded LASSO.

Youngjun Choe, Weihong Guo, Eunshin Byon, Jionghua (Judy) Jin, Jingjing Li

Qual. Reliab. Eng. Int., 2016

2015

Importance Sampling for Reliability Evaluation With Stochastic Simulation Models.

Youngjun Choe, Eunshin Byon, Nan Chen

Technometrics, 2015