Jeongsub Choi

Orcid: 0000-0003-2220-295X

According to our database1, Jeongsub Choi authored at least 14 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Gaussian kernel with correlated variables for incomplete data.
Ann. Oper. Res., October, 2024

Competitor identification with memory in a dynamic financial transaction network.
Ann. Oper. Res., October, 2024

Efficient visibility algorithm for high-frequency time-series: application to fault diagnosis with graph convolutional network.
Ann. Oper. Res., August, 2024

Convolutional neural network based multi-input multi-output model for multi-sensor multivariate virtual metrology in semiconductor manufacturing.
Ann. Oper. Res., August, 2024

2022
A Novel Method for Identifying Competitors Using a Financial Transaction Network.
IEEE Trans. Engineering Management, 2022

Restricted Relevance Vector Machine for Missing Data and Application to Virtual Metrology.
IEEE Trans Autom. Sci. Eng., 2022

A modified gamma/Gompertz/NBD model for estimating technology lifetime.
Scientometrics, 2022

Object-based cluster validation with densities.
Pattern Recognit., 2022

2021
Methodology for assessing the contribution of knowledge services during the new product development process to business performance.
Expert Syst. Appl., 2021

A dynamic graph-based approach to ranking firms for identifying key players using inter-firm transactions.
Ann. Oper. Res., 2021

2020
New node anomaly detection algorithm based on nonnegative matrix factorization for directed citation networks.
Ann. Oper. Res., 2020

2019
Regularized asymmetric nonnegative matrix factorization for clustering in directed networks.
Pattern Recognit. Lett., 2019

2017
Data mining-based variable assessment methodology for evaluating the contribution of knowledge services of a public research institute to business performance of firms.
Expert Syst. Appl., 2017

2016
Patent Clustering and Outlier Ranking Methodologies for Attributed Patent Citation Networks for Technology Opportunity Discovery.
IEEE Trans. Engineering Management, 2016


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