Myong Kee Jeong

According to our database, Myong Kee Jeong authored at least 82 papers between 2005 and 2024.

Collaborative distances:

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

2024

True sparse PCA for reducing the number of essential sensors in virtual metrology.

Yifan Xie, Tianhui Wang, Young-Seon Jeong, Ali Tosyali, Myong K. Jeong

Int. J. Prod. Res., March, 2024

A Novel Similarity-Based Link Prediction Approach for Transaction Networks.

Yi Yu, Ali Tosyali, Jaeseung Baek, Myong K. Jeong

IEEE Trans. Engineering Management, 2024

Orthogonal binary singular value decomposition method for automated windshield wiper fault detection.

Taha J. Alhindi, Jaeseung Baek, Youngseon Jeong, Myong K. Jeong

Int. J. Prod. Res., 2024

2023

A wavelet-based real-time fire detection algorithm with multi-modeling framework.

Jaeseung Baek, Taha J. Alhindi, Young-Seon Jeong, Myong K. Jeong, Seongho Seo, Jongseok Kang, We Shim, Yoseob Heo

Expert Syst. Appl., December, 2023

Monitoring variations in multimode surface topography.

Jaeseung Baek, Myong K. Jeong, Elsayed A. Elsayed

Int. J. Prod. Res., February, 2023

Generalised spatially weighted autocorrelation approach for monitoring and diagnosing faults in 3D topographic surfaces.

Mejdal A. Alqahtani, Myong K. Jeong, Elsayed A. Elsayed

Int. J. Prod. Res., January, 2023

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

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

Residual-Based Surface Segmentation for Monitoring Topographic Variations.

Jaeseung Baek, Myong K. Jeong, Elsayed A. Elsayed

IEEE Trans Autom. Sci. Eng., 2022

Object-based cluster validation with densities.

Behnam Tavakkol, Jeongsub Choi, Myong Kee Jeong, Susan L. Albin

Pattern Recognit., 2022

2021

Measures of Scatter and Fisher Discriminant Analysis for Uncertain Data.

Behnam Tavakkol, Myong K. Jeong, Susan L. Albin

IEEE Trans. Syst. Man Cybern. Syst., 2021

Multi-Label Separation-Deviation Surface Model for Detecting Spatial Defects in Topographic Surfaces.

Mejdal A. Alqahtani, Myong K. Jeong, Elsayed A. Elsayed

IEEE Trans. Ind. Informatics, 2021

Spatially weighted graph theory-based approach for monitoring faults in 3D topographic surfaces.

Mejdal A. Alqahtani, Myong K. Jeong, Elsayed A. Elsayed

Int. J. Prod. 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

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

Validity indices for clusters of uncertain data objects.

Behnam Tavakkol, Myong K. Jeong, Susan L. Albin

Ann. Oper. Res., 2021

New multivariate kernel density estimator for uncertain data classification.

Byunghoon Kim, Young-Seon Jeong, Myong K. Jeong

Ann. Oper. Res., 2021

Support vector regression for polyhedral and missing data.

Gianluca Gazzola, Myong K. Jeong

Ann. Oper. Res., 2021

2020

Generalized support vector data description for anomaly detection.

Mehmet Turkoz, Sangahn Kim, Youngdoo Son, Myong K. Jeong, Elsayed A. Elsayed

Pattern Recognit., 2020

A generalised uncertain decision tree for defect classification of multiple wafer maps.

Byunghoon Kim, Young-Seon Jeong, Seung Hoon Tong, Myong K. Jeong

Int. J. Prod. Res., 2020

Multilevel spatial randomness approach for monitoring changes in 3D topographic surfaces.

Mejdal A. Alqahtani, Myong K. Jeong, Elsayed A. Elsayed

Int. J. Prod. Res., 2020

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

2019

Regularized asymmetric nonnegative matrix factorization for clustering in directed networks.

Ali Tosyali, Jinho Kim, Jeongsub Choi, Myong K. Jeong

Pattern Recognit. Lett., 2019

Dependence-biased clustering for variable selection with random forests.

Gianluca Gazzola, Myong Kee Jeong

Pattern Recognit., 2019

2018

A new clustering validity index for arbitrary shape of clusters.

Soo-Hyun Lee, Young-Seon Jeong, Jae-Yun Kim, Myong K. Jeong

Pattern Recognit. Lett., 2018

Robust relevance vector machine for classification with variational inference.

Sangheum Hwang, Myong K. Jeong

Ann. Oper. Res., 2018

2017

Two-phase edge outlier detection method for technology opportunity discovery.

Byunghoon Kim, Gianluca Gazzola, Jaekyung Yang, Jae-Min Lee, Byoung-Youl Coh, Myong K. Jeong, Young-Seon Jeong

Scientometrics, 2017

Variable Selection-based Multivariate Cumulative Sum Control Chart.

Galal M. Abdella, Khalifa N. Al-Khalifa, Sangahn Kim, Myong K. Jeong, Elsayed A. Elsayed, Abdel Magid S. Hamouda

Qual. Reliab. Eng. Int., 2017

Monitoring multistage processes with autocorrelated observations.

Jinho Kim, Myong K. Jeong, Elsayed A. Elsayed

Int. J. Prod. Res., 2017

Object-to-group probabilistic distance measure for uncertain data classification.

Behnam Tavakkol, Myong Kee Jeong, Susan L. Albin

Neurocomputing, 2017

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

2016

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

Special Issue on INFORMS 2015 Annual Meeting.

Yong Chen, Myong K. Jeong

Qual. Reliab. Eng. Int., 2016

Robust Kriging models in computer experiments.

Taejin Park, Bong-Jin Yum, Ying Hung, Young-Seon Jeong, Myong K. Jeong

J. Oper. Res. Soc., 2016

A robust support vector regression with a linear-log concave loss function.

Dohyun Kim, Chungmok Lee, Sangheum Hwang, Myong K. Jeong

J. Oper. Res. Soc., 2016

2015

New multi-stage similarity measure for calculation of pairwise patent similarity in a patent citation network.

Andrew Rodriguez, Byunghoon Kim, Mehmet Turkoz, Jae-Min Lee, Byoung-Youl Coh, Myong Kee Jeong

Scientometrics, 2015

Modelling of technology lifetime based on patent citation data and segmentation.

Sun-Hi Yoo, Byunghoon Kim, Myong Kee Jeong

J. Oper. Res. Soc., 2015

An evolutionary algorithm with the partial sequential forward floating search mutation for large-scale feature selection problems.

Young-Seon Jeong, Kyoung Seok Shin, Myong Kee Jeong

J. Oper. Res. Soc., 2015

Robust kernel-based regression with bounded influence for outliers.

Sangheum Hwang, Dohyun Kim, Myong K. Jeong, Bong-Jin Yum

J. Oper. Res. Soc., 2015

A Network Structural Approach to the Link Prediction Problem.

Chungmok Lee, Minh Pham, Myong Kee Jeong, Dohyun Kim, Dennis K. J. Lin, Wanpracha Art Chaovalitwongse

INFORMS J. Comput., 2015

System Informatics: From Methodology to Applications.

Kang Zhao, Yao Xie, Kwok-Leung Tsui, Qingming Wei, Wenpo Huang, Wei Jiang, Yanting Li, Su Gon Cho, Seoung Bum Kim, Kaibo Liu, Jianjun Shi, Young-Seon Jeong, Byunghoon Kim, Seung Hoon Tong, In-Kap Chang, Myong Kee Jeong, Florent Charruaud, Lishuai Li

IEEE Intell. Syst., 2015

Graph kernel based measure for evaluating the influence of patents in a patent citation network.

Andrew Rodriguez, Byunghoon Kim, Jae-Min Lee, Byoung-Yul Coh, Myong K. Jeong

Expert Syst. Appl., 2015

2014

Inter-cluster connectivity analysis for technology opportunity discovery.

Byunghoon Kim, Gianluca Gazzola, Jae-Min Lee, Dohyun Kim, Kanghoe Kim, Myong K. Jeong

Scientometrics, 2014

Evolutionary refinement approaches for band selection of hyperspectral images with applications to automatic monitoring of animal feed quality.

Philip Wilcox, Timothy M. Horton, Eunseog Youn, Myong K. Jeong, Derrick Tate, Timothy Herrman, Christian Nansen

Intell. Data Anal., 2014

A Graph Kernel Approach for Detecting Core Patents and Patent Groups.

Dohyun Kim, Bangrae Lee, Hyuck Jai Lee, Sang Pil Lee, Yeongho Moon, Myong Kee Jeong

IEEE Intell. Syst., 2014

The sparse signomial classification and regression model.

Kyungsik Lee, Norman Kim, Myong K. Jeong

Ann. Oper. Res., 2014

A novel link prediction approach for scale-free networks.

Chungmok Lee, Minh Pham, Norman Kim, Myong K. Jeong, Dennis K. J. Lin, Wanpracha Art Chaovalitwongse

Proceedings of the 23rd International World Wide Web Conference, 2014

2013

An Online Self-Learning Algorithm for License Plate Matching.

Francisco Moraes Oliveira-Neto, Lee D. Han, Myong Kee Jeong

IEEE Trans. Intell. Transp. Syst., 2013

Frame Packing for Minimizing the Bandwidth Consumption of the FlexRay Static Segment.

Minkoo Kang, Kiejin Park, Myong Kee Jeong

IEEE Trans. Ind. Electron., 2013

2012

Kernel Ridge Regression with Lagged-Dependent Variable: Applications to Prediction of Internal Bond Strength in a Medium Density Fiberboard Process.

Norman Kim, Young-Seon Jeong, Myong Kee Jeong, Timothy M. Young

IEEE Trans. Syst. Man Cybern. Part C, 2012

A New Feature Selection Method for One-Class Classification Problems.

Young-Seon Jeong, Inho Kang, Myong Kee Jeong, Dongjoon Kong

IEEE Trans. Syst. Man Cybern. Part C, 2012

Automated Detection of Influential Patents Using Singular Values.

Dohyun Kim, Bangrae Lee, Hyuck Jai Lee, Sang Pil Lee, Yeongho Moon, Myong K. Jeong

IEEE Trans Autom. Sci. Eng., 2012

Improved prediction of biomass composition for switchgrass using reproducing kernel methods with wavelet compressed FT-NIR spectra.

Jong In Park, Lu Liu, X. Philip Ye, Myong K. Jeong, Young-Seon Jeong

Expert Syst. Appl., 2012

A differentiated one-class classification method with applications to intrusion detection.

Inho Kang, Myong K. Jeong, Dongjoon Kong

Expert Syst. Appl., 2012

A two-leveled symbiotic evolutionary algorithm for clustering problems.

Kyoung Seok Shin, Young-Seon Jeong, Myong K. Jeong

Appl. Intell., 2012

Multidimensional local spatial autocorrelation measure for integrating spatial and spectral information in hyperspectral image band selection.

Zheng Du, Young-Seon Jeong, Myong K. Jeong, Seong G. Kong

Appl. Intell., 2012

2011

Online Support Vector Regression With Varying Parameters for Time-Dependent Data.

Olufemi A. Omitaomu, Myong Kee Jeong, Adedeji B. Badiru

IEEE Trans. Syst. Man Cybern. Part A, 2011

Weighted dynamic time warping for time series classification.

Young-Seon Jeong, Myong Kee Jeong, Olufemi A. Omitaomu

Pattern Recognit., 2011

Pattern Recognition Approaches for Identifying Subcortical Targets during Deep Brain Stimulation Surgery.

Wanpracha Art Chaovalitwongse, Young-Seon Jeong, Myong Kee Jeong, Shabbar F. Danish, Stephen Wong

IEEE Intell. Syst., 2011

Pattern selection approaches for the logical analysis of data considering the outliers and the coverage of a pattern.

Jeong Han, Norman Kim, Bong-Jin Yum, Myong K. Jeong

Expert Syst. Appl., 2011

Comparisons of classification methods in the original and pattern spaces.

Jeong Han, Norman Kim, Myong K. Jeong, Bong-Jin Yum

Expert Syst. Appl., 2011

Recursive support vector censored regression for monitoring product quality based on degradation profiles.

Jong In Park, Myong K. Jeong

Appl. Intell., 2011

Enhanced predictions of wood properties using hybrid models of PCR and PLS with high-dimensional NIR spectral data.

Yi Fang, Jong In Park, Young-Seon Jeong, Myong K. Jeong, Seung H. Baek, Hyun-Woo Cho

Ann. Oper. Res., 2011

2010

A Hybrid Recommendation Method with Reduced Data for Large-Scale Application.

Sang Hyun Choi, Young-Seon Jeong, Myong Kee Jeong

IEEE Trans. Syst. Man Cybern. Part C, 2010

Support vector-based feature selection using Fisher's linear discriminant and Support Vector Machine.

Eunseog Youn, Lars Koenig, Myong K. Jeong, Seung H. Baek

Expert Syst. Appl., 2010

2009

Dual Features Functional Support Vector Machines for Fault Detection of Rechargeable Batteries.

Jong In Park, Seung H. Baek, Myong K. Jeong, Suk Joo Bae

IEEE Trans. Syst. Man Cybern. Part C, 2009

Class dependent feature scaling method using naive Bayes classifier for text datamining.

Eunseog Youn, Myong K. Jeong

Pattern Recognit. Lett., 2009

A two-stage classification procedure for near-infrared spectra based on multi-scale vertical energy wavelet thresholding and SVM-based gradient-recursive feature elimination.

H.-W. Cho, Seung H. Baek, Eunseog Youn, Myong K. Jeong, A. Taylor

J. Oper. Res. Soc., 2009

Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions.

Manoel Castro-Neto, Young-Seon Jeong, Myong Kee Jeong, Lee D. Han

Expert Syst. Appl., 2009

AADT prediction using support vector regression with data-dependent parameters.

Manoel Castro-Neto, Youngseon Jeong, Myong Kee Jeong, Lee D. Han

Expert Syst. Appl., 2009

2008

Robust Probabilistic Multivariate Calibration Model.

Yi Fang, Myong K. Jeong

Technometrics, 2008

A new tolerance design method for a secondary rechargeable battery using design of experiments with mixture.

Jong In Park, Seong Jun Kim, Myong K. Jeong

Qual. Reliab. Eng. Int., 2008

Discovery of metabolite features for the modelling and analysis of high-resolution NMR spectra.

Hyun-Woo Cho, Seoung Bum Kim, Myong Kee Jeong, Youngja Park, Nana Gletsu Miller, Thomas R. Ziegler, Dean P. Jones

Int. J. Data Min. Bioinform., 2008

Genetic algorithm-based feature selection in high-resolution NMR spectra.

Hyun-Woo Cho, Seoung Bum Kim, Myong Kee Jeong, Youngja Park, Thomas R. Ziegler, Dean P. Jones

Expert Syst. Appl., 2008

Determination of influential factors and diagnostics using multivariate statistical relationships between variables and faults.

Hyun-Woo Cho, Kwang-Jae Kim, Myong Kee Jeong

Expert Syst. Appl., 2008

Enhanced prediction of misalignment conditions from spectral data using feature selection and filtering.

Hyun-Woo Cho, Myong Kee Jeong

Expert Syst. Appl., 2008

2007

Online Support Vector Regression Approach for the Monitoring of Motor Shaft Misalignment and Feedwater Flow Rate.

Olufemi A. Omitaomu, Myong Kee Jeong, Adedeji B. Badiru, J. Wesley Hines

IEEE Trans. Syst. Man Cybern. Part C, 2007

Band Selection of Hyperspectral Images for Automatic Detection of Poultry Skin Tumors.

Zheng Du, Myong K. Jeong, Seong G. Kong

IEEE Trans Autom. Sci. Eng., 2007

2006

A Vertical-Energy-Thresholding Procedure for Data Reduction With Multiple Complex Curves.

Uk Jung, Myong K. Jeong, Jye-Chyi Lu

IEEE Trans. Syst. Man Cybern. Part B, 2006

Wavelet-Based Data Reduction Techniques for Process Fault Detection.

Myong K. Jeong, Jye-Chyi Lu, Xiaoming Huo, Brani Vidakovic, Di Chen

Technometrics, 2006

Health monitoring of a shaft transmission system via hybrid models of PCR and PLS.

Yi Fang, Hyun-Woo Cho, Myong Kee Jeong

Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

2005

Throughput gain with parallel flow in automated flow lines.

Myong Kee Jeong, Matt Perry, Chen Zhou

IEEE Trans Autom. Sci. Eng., 2005