Young Woong Park

According to our database, Young Woong Park authored at least 19 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

A systematic approach for learning imbalanced data: enhancing zero-inflated models through boosting.

Yeasung Jeong, Kangbok Lee, Young Woong Park, Sumin Han

Mach. Learn., October, 2024

Discordance minimization-based imputation algorithms for missing values in rating data.

Young Woong Park, Jinhak Kim, Dan Zhu

Mach. Learn., January, 2024

Observation weights matching approach for causal inference.

Kangbok Lee, Sumin Han, Hyeoncheol Baik, Yeasung Jeong, Young Woong Park

Pattern Recognit., 2024

Joint Effects and Sequencing of Government Regulations in Sharing Economy Era.

Jiana Meng, Young Woong Park, Chen Zhang

Proceedings of the 30th Americas Conference on Information Systems: Elevating Life through Digital Social Entrepreneurship, 2024

2023

CIO Turnover and its Consequences for Competitors.

Yeasung Jeong, Kang-Bok Lee, Sumin Han, Young Woong Park, Junyoung Park

Proceedings of the 29th Americas Conference on Information Systems, 2023

2022

An analysis of the ripple effect for disruptions occurring in circular flows of a supply chain network.

Young Woong Park, Jennifer Blackhurst, Chinju Paul, Kevin P. Scheibe

Int. J. Prod. Res., 2022

2021

Optimization for <i>L</i>₁-Norm Error Fitting via Data Aggregation.

Young Woong Park

INFORMS J. Comput., 2021

A Mathematical Programming Approach for Imputation of Unknown Journal Ratings in a Combined Journal Quality List.

Jinhak Kim, Young Woong Park, Alvin J. Williams

Decis. Sci., 2021

2020

A mathematical programming approach for integrated multiple linear regression subset selection and validation.

Seokhyun Chung, Young Woong Park, Taesu Cheong

Pattern Recognit., 2020

Subset selection for multiple linear regression via optimization.

Young Woong Park, Diego Klabjan

J. Glob. Optim., 2020

MILP Models for Complex System Reliability Redundancy Allocation with Mixed Components.

Young Woong Park

INFORMS J. Comput., 2020

2018

Three iteratively reweighted least squares algorithms for L₁ -norm principal component analysis.

Young Woong Park, Diego Klabjan

Knowl. Inf. Syst., 2018

2017

Bayesian Network Learning via Topological Order.

Young Woong Park, Diego Klabjan

J. Mach. Learn. Res., 2017

Algorithms for Generalized Clusterwise Linear Regression.

Young Woong Park, Yan Jiang, Diego Klabjan, Loren Williams

INFORMS J. Comput., 2017

2016

An aggregate and iterative disaggregate algorithm with proven optimality in machine learning.

Young Woong Park, Diego Klabjan

Mach. Learn., 2016

Algorithms for Generalized Cluster-wise Linear Regression.

Young Woong Park, Yan Jiang, Diego Klabjan, Loren Williams

CoRR, 2016

Iteratively Reweighted Least Squares Algorithms for L1-Norm Principal Component Analysis.

Young Woong Park, Diego Klabjan

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

Lifting for mixed integer programs with variable upper bounds.

Sergey Shebalov, Young Woong Park, Diego Klabjan

Discret. Appl. Math., 2015

Lot sizing with minimum order quantity.

Young Woong Park, Diego Klabjan

Discret. Appl. Math., 2015