Patent Clustering and Outlier Ranking Methodologies for Attributed Patent Citation Networks for Technology Opportunity Discovery. - Andrew Rodriguez; Ali Tosyali; Byunghoon Kim; Jeongsub Choi; Jae-Min Lee; Byoung-Youl Coh; Myong K. Jeong (IEEE Trans. Engineering Management, 2016)

Data mining-based variable assessment methodology for evaluating the contribution of knowledge services of a public research institute to business performance of firms. - Jeongsub Choi; Byunghoon Kim; Hyuk Hahn; Hun Park; Yongil Jeong; Jaeyoung Yoo; Myong Kee Jeong (Expert Syst. Appl., 2017)

Regularized asymmetric nonnegative matrix factorization for clustering in directed networks. - Ali Tosyali; Jinho Kim; Jeongsub Choi; Myong K. Jeong (Pattern Recognit. Lett., 2019)

New node anomaly detection algorithm based on nonnegative matrix factorization for directed citation networks. - Ali Tosyali; Jinho Kim; Jeongsub Choi; Yunyi Kang; Myong K. Jeong (Ann. Oper. Res., 2020)

A dynamic graph-based approach to ranking firms for identifying key players using inter-firm transactions. - Ali Tosyali; Jeongsub Choi; Byunghoon Kim; Ho-Shin Lee; Myong K. Jeong (Ann. Oper. Res., 2021)

Methodology for assessing the contribution of knowledge services during the new product development process to business performance. - Jeongsub Choi; Byunghoon Kim; Chang Hee Han; Hyuk Hahn; Hun Park; Jaeyoung Yoo; Myong Kee Jeong (Expert Syst. Appl., 2021)

Object-based cluster validation with densities. - Behnam Tavakkol; Jeongsub Choi; Myong Kee Jeong; Susan L. Albin (Pattern Recognit., 2022)

A modified gamma/Gompertz/NBD model for estimating technology lifetime. - Myoungjae Choi; Sun-Hi Yoo; Jongtaik Lee; Jeongsub Choi; Byunghoon Kim (Scientometrics, 2022)

Restricted Relevance Vector Machine for Missing Data and Application to Virtual Metrology. - Jeongsub Choi; Youngdoo Son; Myong K. Jeong (IEEE Trans Autom. Sci. Eng., 2022)

A Novel Method for Identifying Competitors Using a Financial Transaction Network. - Jeongsub Choi; Ali Tosyali; Byunghoon Kim; Ho-Shin Lee; Myong Kee Jeong (IEEE Trans. Engineering Management, 2022)

Convolutional neural network based multi-input multi-output model for multi-sensor multivariate virtual metrology in semiconductor manufacturing. - Jeongsub Choi; Mengmeng Zhu; Jihoon Kang; Myong K. Jeong (Ann. Oper. Res., 2024)

Efficient visibility algorithm for high-frequency time-series: application to fault diagnosis with graph convolutional network. - Sangho Lee; Jeongsub Choi; Youngdoo Son (Ann. Oper. Res., 2024)

Competitor identification with memory in a dynamic financial transaction network. - Jeongsub Choi; Byunghoon Kim; Ho-Shin Lee (Ann. Oper. Res., 2024)

Gaussian kernel with correlated variables for incomplete data. - Jeongsub Choi; Youngdoo Son; Myong K. Jeong (Ann. Oper. Res., 2024)