Young Woong Park

24 papers A* 1Journal 21Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Integrated subset selection and bandwidth estimation algorithm for geographically weighted regression.
Pattern Recognit.
Hyunwoo Lee, Young Woong Park
2024 J jnl
A systematic approach for learning imbalanced data: enhancing zero-inflated models through boosting.
Mach. Learn.
Yeasung Jeong, Kangbok Lee, Young Woong Park, Sumin Han
2024 J jnl
Discordance minimization-based imputation algorithms for missing values in rating data.
Mach. Learn.
Young Woong Park, Jinhak Kim, Dan Zhu
2024 — conf
Joint Effects and Sequencing of Government Regulations in Sharing Economy Era.
AMCIS
Jiana Meng, Young Woong Park, Chen Zhang
2024 J jnl
Observation weights matching approach for causal inference.
Pattern Recognit.
Kangbok Lee, Sumin Han, Hyeoncheol Baik, Yeasung Jeong, Young Woong Park
2023 — conf
CIO Turnover and its Consequences for Competitors.
AMCIS
Yeasung Jeong, Kang-Bok Lee, Sumin Han, Young Woong Park, Junyoung Park
2023 J jnl
Discordance Minimization-based Imputation Algorithms for Missing Values in Rating Data.
CoRR
Young Woong Park, Jinhak Kim, Dan Zhu
2022 J jnl
An analysis of the ripple effect for disruptions occurring in circular flows of a supply chain network.
Int. J. Prod. Res.
Young Woong Park, Jennifer Blackhurst, Chinju Paul, Kevin P. Scheibe
2021 J jnl
A Mathematical Programming Approach for Imputation of Unknown Journal Ratings in a Combined Journal Quality List.
Decis. Sci.
Jinhak Kim, Young Woong Park, Alvin J. Williams
2021 J jnl
Optimization for
INFORMS J. Comput.
Young Woong Park
2020 J jnl
A mathematical programming approach for integrated multiple linear regression subset selection and validation.
Pattern Recognit.
Seokhyun Chung, Young Woong Park, Taesu Cheong
2020 J jnl
MILP Models for Complex System Reliability Redundancy Allocation with Mixed Components.
INFORMS J. Comput.
Young Woong Park
2020 J jnl
Subset selection for multiple linear regression via optimization.
J. Glob. Optim.
Young Woong Park, Diego Klabjan
2018 J jnl
Three iteratively reweighted least squares algorithms for L
Knowl. Inf. Syst.
Young Woong Park, Diego Klabjan
2017 J jnl
Algorithms for Generalized Clusterwise Linear Regression.
INFORMS J. Comput.
Young Woong Park, Yan Jiang, Diego Klabjan, Loren Williams
2017 J jnl
Bayesian Network Learning via Topological Order.
CoRR
Young Woong Park, Diego Klabjan
2017 J jnl
Bayesian Network Learning via Topological Order.
J. Mach. Learn. Res.
Young Woong Park, Diego Klabjan
2016 J jnl
Algorithms for Generalized Cluster-wise Linear Regression.
CoRR
Young Woong Park, Yan Jiang, Diego Klabjan, Loren Williams
2016 J jnl
An Aggregate and Iterative Disaggregate Algorithm with Proven Optimality in Machine Learning.
CoRR
Young Woong Park, Diego Klabjan
2016 J jnl
An aggregate and iterative disaggregate algorithm with proven optimality in machine learning.
Mach. Learn.
Young Woong Park, Diego Klabjan
2016 A* conf
Iteratively Reweighted Least Squares Algorithms for L1-Norm Principal Component Analysis.
ICDM
Young Woong Park, Diego Klabjan
2016 J jnl
Iteratively Reweighted Least Squares Algorithms for L1-Norm Principal Component Analysis.
CoRR
Young Woong Park, Diego Klabjan
2015 J jnl
Lifting for mixed integer programs with variable upper bounds.
Discret. Appl. Math.
Sergey Shebalov, Young Woong Park, Diego Klabjan
2015 J jnl
Lot sizing with minimum order quantity.
Discret. Appl. Math.
Young Woong Park, Diego Klabjan