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ORCIDMyong Kee Jeong
Myong K. Jeong
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- affiliation: Rutgers University, USA
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2020 – today
- 2024
[j89]Ajay Kumar, Alexandra Brintrup, Eric W. T. Ngai, Ravi Shankar, Myong K. Jeong:
Deep learning applications in operations research. Ann. Oper. Res. 339(1-2): 1-2 (2024)- [j88]Jeongsub Choi, Mengmeng Zhu, Jihoon Kang, Myong K. Jeong
:
Convolutional neural network based multi-input multi-output model for multi-sensor multivariate virtual metrology in semiconductor manufacturing. Ann. Oper. Res. 339(1-2): 185-201 (2024) - [j87]Sangahn Kim, Mehmet Turkoz, Myong K. Jeong, Elsayed A. Elsayed:
Monitoring of group-structured high-dimensional processes via sparse group LASSO. Ann. Oper. Res. 340(2): 891-911 (2024) - [j86]Jaeseung Baek, Myong K. Jeong, Elsayed A. Elsayed:
Spatial randomness-based anomaly detection approach for monitoring local variations in multimode surface topography. Ann. Oper. Res. 341(1): 173-195 (2024) - [j85]Jeongsub Choi, Youngdoo Son, Myong K. Jeong:
Gaussian kernel with correlated variables for incomplete data. Ann. Oper. Res. 341(1): 223-244 (2024) - [j84]Yi Yu, Jaeseung Baek, Ali Tosyali, Myong K. Jeong:
Robust asymmetric non-negative matrix factorization for clustering nodes in directed networks. Ann. Oper. Res. 341(1): 245-265 (2024) - [j83]Tianhui Wang, Yifan Xie, Youngseon Jeong, Myong K. Jeong:
Dynamic sparse PCA: a dimensional reduction method for sensor data in virtual metrology. Expert Syst. Appl. 251: 123995 (2024) - [j82]Yifan Xie, Tianhui Wang, Young-Seon Jeong, Ali Tosyali, Myong K. Jeong:
True sparse PCA for reducing the number of essential sensors in virtual metrology. Int. J. Prod. Res. 62(6): 2142-2157 (2024) - [j81]Taha J. Alhindi, Jaeseung Baek, Youngseon Jeong, Myong K. Jeong:
Orthogonal binary singular value decomposition method for automated windshield wiper fault detection. Int. J. Prod. Res. 62(9): 3383-3397 (2024) - [j80]Yifan Xie, Tianhui Wang, Myong K. Jeong, Gyeong Taek Lee:
Multi-source adaptive thresholding adaboost with application to virtual metrology. Int. J. Prod. Res. 62(17): 6344-6359 (2024) - [j79]Tianhui Wang, Jaeseung Baek, Myong Kee Jeong, Seongho Seo, Jaekyung Choi:
Multi-source AdaBoost with cross-weight method for virtual metrology in semiconductor manufacturing. Int. J. Prod. Res. 62(19): 7114-7129 (2024) - [j78]Yi Yu, Ali Tosyali, Jaeseung Baek, Myong K. Jeong:
A Novel Similarity-Based Link Prediction Approach for Transaction Networks. IEEE Trans. Engineering Management 71: 981-992 (2024) - 2023
- [j77]Jaeseung Baek, Taha J. Alhindi, Young-Seon Jeong, Myong K. Jeong, Seongho Seo, Jongseok Kang, We Shim, Yoseob Heo:
A wavelet-based real-time fire detection algorithm with multi-modeling framework. Expert Syst. Appl. 233: 120940 (2023) - [j76]Mejdal A. Alqahtani, Myong K. Jeong, Elsayed A. Elsayed:
Generalised spatially weighted autocorrelation approach for monitoring and diagnosing faults in 3D topographic surfaces. Int. J. Prod. Res. 61(2): 541-558 (2023) - [j75]Jaeseung Baek, Myong K. Jeong, Elsayed A. Elsayed:
Monitoring variations in multimode surface topography. Int. J. Prod. Res. 61(4): 1129-1145 (2023) - 2022
- [j74]Behnam Tavakkol, Jeongsub Choi, Myong Kee Jeong, Susan L. Albin:
Object-based cluster validation with densities. Pattern Recognit. 121: 108223 (2022) - [j73]Jaeseung Baek, Myong K. Jeong, Elsayed A. Elsayed:
Residual-Based Surface Segmentation for Monitoring Topographic Variations. IEEE Trans Autom. Sci. Eng. 19(1): 280-294 (2022) - [j72]Jeongsub Choi, Youngdoo Son, Myong K. Jeong:
Restricted Relevance Vector Machine for Missing Data and Application to Virtual Metrology. IEEE Trans Autom. Sci. Eng. 19(4): 3172-3183 (2022) - [j71]Jeongsub Choi, Ali Tosyali, Byunghoon Kim, Ho-Shin Lee, Myong Kee Jeong:
A Novel Method for Identifying Competitors Using a Financial Transaction Network. IEEE Trans. Engineering Management 69(4): 845-860 (2022) - 2021
- [j70]Ali Tosyali, Jeongsub Choi, Byunghoon Kim, Ho-Shin Lee, Myong K. Jeong:
A dynamic graph-based approach to ranking firms for identifying key players using inter-firm transactions. Ann. Oper. Res. 303(1): 5-27 (2021) - [j69]Behnam Tavakkol, Myong K. Jeong, Susan L. Albin:
Validity indices for clusters of uncertain data objects. Ann. Oper. Res. 303(1): 321-357 (2021) - [j68]Byunghoon Kim, Young-Seon Jeong, Myong K. Jeong:
New multivariate kernel density estimator for uncertain data classification. Ann. Oper. Res. 303(1): 413-431 (2021) - [j67]Gianluca Gazzola, Myong K. Jeong:
Support vector regression for polyhedral and missing data. Ann. Oper. Res. 303(1): 483-506 (2021) - [j66]Jeongsub Choi, Byunghoon Kim, Chang Hee Han, Hyuk Hahn, Hun Park, Jaeyoung Yoo, Myong Kee Jeong:
Methodology for assessing the contribution of knowledge services during the new product development process to business performance. Expert Syst. Appl. 167: 113860 (2021) - [j65]Mejdal A. Alqahtani, Myong K. Jeong, Elsayed A. Elsayed:
Spatially weighted graph theory-based approach for monitoring faults in 3D topographic surfaces. Int. J. Prod. Res. 59(21): 6382-6399 (2021) - [j64]Mejdal A. Alqahtani, Myong K. Jeong, Elsayed A. Elsayed:
Multi-Label Separation-Deviation Surface Model for Detecting Spatial Defects in Topographic Surfaces. IEEE Trans. Ind. Informatics 17(7): 4555-4565 (2021) - [j63]Behnam Tavakkol, Myong K. Jeong, Susan L. Albin:
Measures of Scatter and Fisher Discriminant Analysis for Uncertain Data. IEEE Trans. Syst. Man Cybern. Syst. 51(3): 1690-1703 (2021) - 2020
- [j62]Ali Tosyali, Jinho Kim, Jeongsub Choi, Yunyi Kang, Myong K. Jeong:
New node anomaly detection algorithm based on nonnegative matrix factorization for directed citation networks. Ann. Oper. Res. 288(1): 457-474 (2020) - [j61]Byunghoon Kim, Young-Seon Jeong, Seung Hoon Tong, Myong K. Jeong:
A generalised uncertain decision tree for defect classification of multiple wafer maps. Int. J. Prod. Res. 58(9): 2805-2821 (2020) - [j60]Mejdal A. Alqahtani, Myong K. Jeong, Elsayed A. Elsayed:
Multilevel spatial randomness approach for monitoring changes in 3D topographic surfaces. Int. J. Prod. Res. 58(18): 5545-5558 (2020) - [j59]Mehmet Turkoz, Sangahn Kim, Youngdoo Son, Myong K. Jeong, Elsayed A. Elsayed:
Generalized support vector data description for anomaly detection. Pattern Recognit. 100: 107119 (2020)
2010 – 2019
- 2019
- [j58]Gianluca Gazzola, Myong Kee Jeong:
Dependence-biased clustering for variable selection with random forests. Pattern Recognit. 96 (2019) - [j57]Ali Tosyali, Jinho Kim, Jeongsub Choi, Myong K. Jeong:
Regularized asymmetric nonnegative matrix factorization for clustering in directed networks. Pattern Recognit. Lett. 125: 750-757 (2019) - 2018
- [j56]Sangheum Hwang, Myong K. Jeong:
Robust relevance vector machine for classification with variational inference. Ann. Oper. Res. 263(1-2): 21-43 (2018) - [j55]Soo-Hyun Lee, Young-Seon Jeong, Jae-Yun Kim, Myong K. Jeong:
A new clustering validity index for arbitrary shape of clusters. Pattern Recognit. Lett. 112: 263-269 (2018) - 2017
- [j54]Jeongsub Choi, Byunghoon Kim, Hyuk Hahn, Hun Park, Yongil Jeong, Jaeyoung Yoo, Myong Kee Jeong:
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. 84: 37-48 (2017) - [j53]Behnam Tavakkol, Myong Kee Jeong, Susan L. Albin:
Object-to-group probabilistic distance measure for uncertain data classification. Neurocomputing 230: 143-151 (2017) - [j52]Jinho Kim, Myong K. Jeong, Elsayed A. Elsayed:
Monitoring multistage processes with autocorrelated observations. Int. J. Prod. Res. 55(8): 2385-2396 (2017) - [j51]Galal M. Abdella, Khalifa N. Al-Khalifa, Sangahn Kim, Myong K. Jeong, Elsayed A. Elsayed, Abdel Magid S. Hamouda:
Variable Selection-based Multivariate Cumulative Sum Control Chart. Qual. Reliab. Eng. Int. 33(3): 565-578 (2017) - [j50]Byunghoon Kim, Gianluca Gazzola, Jaekyung Yang, Jae-Min Lee, Byoung-Youl Coh, Myong K. Jeong, Young-Seon Jeong:
Two-phase edge outlier detection method for technology opportunity discovery. Scientometrics 113(1): 1-16 (2017) - 2016
- [j49]Taejin Park, Bong-Jin Yum, Ying Hung, Young-Seon Jeong, Myong K. Jeong:
Robust Kriging models in computer experiments. J. Oper. Res. Soc. 67(4): 644-653 (2016) - [j48]Dohyun Kim, Chungmok Lee, Sangheum Hwang, Myong K. Jeong:
A robust support vector regression with a linear-log concave loss function. J. Oper. Res. Soc. 67(5): 735-742 (2016) - [j47]Yong Chen, Myong K. Jeong:
Special Issue on INFORMS 2015 Annual Meeting. Qual. Reliab. Eng. Int. 32(8): 2637-2638 (2016) - [j46]Andrew Rodriguez, Ali Tosyali, Byunghoon Kim, Jeongsub Choi, Jae-Min Lee, Byoung-Youl Coh, Myong K. Jeong:
Patent Clustering and Outlier Ranking Methodologies for Attributed Patent Citation Networks for Technology Opportunity Discovery. IEEE Trans. Engineering Management 63(4): 426-437 (2016) - 2015
- [j45]Andrew Rodriguez, Byunghoon Kim, Jae-Min Lee, Byoung-Yul Coh, Myong K. Jeong:
Graph kernel based measure for evaluating the influence of patents in a patent citation network. Expert Syst. Appl. 42(3): 1479-1486 (2015) - [j44]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:
System Informatics: From Methodology to Applications. IEEE Intell. Syst. 30(6): 12-29 (2015) - [j43]Chungmok Lee, Minh Pham, Myong Kee Jeong, Dohyun Kim, Dennis K. J. Lin, Wanpracha Art Chaovalitwongse:
A Network Structural Approach to the Link Prediction Problem. INFORMS J. Comput. 27(2): 249-267 (2015) - [j42]Sun-Hi Yoo, Byunghoon Kim, Myong Kee Jeong:
Modelling of technology lifetime based on patent citation data and segmentation. J. Oper. Res. Soc. 66(3): 450-462 (2015) - [j41]Young-Seon Jeong, Kyoung Seok Shin, Myong Kee Jeong:
An evolutionary algorithm with the partial sequential forward floating search mutation for large-scale feature selection problems. J. Oper. Res. Soc. 66(4): 529-538 (2015) - [j40]Sangheum Hwang, Dohyun Kim, Myong K. Jeong, Bong-Jin Yum:
Robust kernel-based regression with bounded influence for outliers. J. Oper. Res. Soc. 66(8): 1385-1398 (2015) - [j39]Andrew Rodriguez, Byunghoon Kim, Mehmet Turkoz, Jae-Min Lee, Byoung-Youl Coh, Myong Kee Jeong:
New multi-stage similarity measure for calculation of pairwise patent similarity in a patent citation network. Scientometrics 103(2): 565-581 (2015) - 2014
- [j38]Kyungsik Lee, Norman Kim, Myong K. Jeong:
The sparse signomial classification and regression model. Ann. Oper. Res. 216(1): 257-286 (2014) - [j37]Dohyun Kim, Bangrae Lee, Hyuck Jai Lee, Sang Pil Lee, Yeongho Moon, Myong Kee Jeong:
A Graph Kernel Approach for Detecting Core Patents and Patent Groups. IEEE Intell. Syst. 29(4): 44-51 (2014) - [j36]Philip Wilcox, Timothy M. Horton, Eunseog Youn, Myong K. Jeong, Derrick Tate, Timothy Herrman, Christian Nansen:
Evolutionary refinement approaches for band selection of hyperspectral images with applications to automatic monitoring of animal feed quality. Intell. Data Anal. 18(1): 25-42 (2014) - [j35]Byunghoon Kim, Gianluca Gazzola, Jae-Min Lee, Dohyun Kim, Kanghoe Kim, Myong K. Jeong:
Inter-cluster connectivity analysis for technology opportunity discovery. Scientometrics 98(3): 1811-1825 (2014) - [c2]Chungmok Lee, Minh Pham, Norman Kim, Myong K. Jeong, Dennis K. J. Lin, Wanpracha Art Chaovalitwongse:
A novel link prediction approach for scale-free networks. WWW (Companion Volume) 2014: 1333-1338 - 2013
- [j34]Minkoo Kang, Kiejin Park, Myong Kee Jeong:
Frame Packing for Minimizing the Bandwidth Consumption of the FlexRay Static Segment. IEEE Trans. Ind. Electron. 60(9): 4001-4008 (2013) - [j33]Francisco Moraes Oliveira-Neto, Lee D. Han, Myong Kee Jeong:
An Online Self-Learning Algorithm for License Plate Matching. IEEE Trans. Intell. Transp. Syst. 14(4): 1806-1816 (2013) - 2012
- [j32]Zheng Du, Young-Seon Jeong, Myong K. Jeong, Seong G. Kong:
Multidimensional local spatial autocorrelation measure for integrating spatial and spectral information in hyperspectral image band selection. Appl. Intell. 36(3): 542-552 (2012) - [j31]Kyoung Seok Shin, Young-Seon Jeong, Myong K. Jeong:
A two-leveled symbiotic evolutionary algorithm for clustering problems. Appl. Intell. 36(4): 788-799 (2012) - [j30]Jong In Park, Lu Liu, X. Philip Ye, Myong K. Jeong, Young-Seon Jeong:
Improved prediction of biomass composition for switchgrass using reproducing kernel methods with wavelet compressed FT-NIR spectra. Expert Syst. Appl. 39(1): 1555-1564 (2012) - [j29]Inho Kang, Myong K. Jeong, Dongjoon Kong:
A differentiated one-class classification method with applications to intrusion detection. Expert Syst. Appl. 39(4): 3899-3905 (2012) - [j28]Dohyun Kim, Bangrae Lee, Hyuck Jai Lee, Sang Pil Lee, Yeongho Moon, Myong K. Jeong:
Automated Detection of Influential Patents Using Singular Values. IEEE Trans Autom. Sci. Eng. 9(4): 723-733 (2012) - [j27]Norman Kim, Young-Seon Jeong, Myong Kee Jeong, Timothy M. Young:
Kernel Ridge Regression with Lagged-Dependent Variable: Applications to Prediction of Internal Bond Strength in a Medium Density Fiberboard Process. IEEE Trans. Syst. Man Cybern. Part C 42(6): 1011-1020 (2012) - [j26]Young-Seon Jeong, Inho Kang, Myong Kee Jeong, Dongjoon Kong:
A New Feature Selection Method for One-Class Classification Problems. IEEE Trans. Syst. Man Cybern. Part C 42(6): 1500-1509 (2012) - 2011
- [j25]Yi Fang, Jong In Park, Young-Seon Jeong, Myong K. Jeong, Seung H. Baek, Hyun-Woo Cho:
Enhanced predictions of wood properties using hybrid models of PCR and PLS with high-dimensional NIR spectral data. Ann. Oper. Res. 190(1): 3-15 (2011) - [j24]Jong In Park, Myong K. Jeong:
Recursive support vector censored regression for monitoring product quality based on degradation profiles. Appl. Intell. 35(1): 63-74 (2011) - [j23]Jeong Han, Norman Kim, Myong K. Jeong, Bong-Jin Yum:
Comparisons of classification methods in the original and pattern spaces. Expert Syst. Appl. 38(10): 12432-12438 (2011) - [j22]Jeong Han, Norman Kim, Bong-Jin Yum, Myong K. Jeong:
Pattern selection approaches for the logical analysis of data considering the outliers and the coverage of a pattern. Expert Syst. Appl. 38(11): 13857-13862 (2011) - [j21]Wanpracha Art Chaovalitwongse, Young-Seon Jeong, Myong Kee Jeong, Shabbar F. Danish, Stephen Wong:
Pattern Recognition Approaches for Identifying Subcortical Targets during Deep Brain Stimulation Surgery. IEEE Intell. Syst. 26(5): 54-63 (2011) - [j20]Young-Seon Jeong, Myong Kee Jeong, Olufemi A. Omitaomu:
Weighted dynamic time warping for time series classification. Pattern Recognit. 44(9): 2231-2240 (2011) - [j19]Olufemi A. Omitaomu, Myong Kee Jeong, Adedeji B. Badiru:
Online Support Vector Regression With Varying Parameters for Time-Dependent Data. IEEE Trans. Syst. Man Cybern. Part A 41(1): 191-197 (2011) - 2010
- [j18]Eunseog Youn, Lars Koenig, Myong K. Jeong, Seung H. Baek:
Support vector-based feature selection using Fisher's linear discriminant and Support Vector Machine. Expert Syst. Appl. 37(9): 6148-6156 (2010) - [j17]Sang Hyun Choi, Young-Seon Jeong, Myong Kee Jeong:
A Hybrid Recommendation Method with Reduced Data for Large-Scale Application. IEEE Trans. Syst. Man Cybern. Part C 40(5): 557-566 (2010)
2000 – 2009
- 2009
- [j16]Manoel Castro-Neto, Youngseon Jeong, Myong Kee Jeong, Lee D. Han:
AADT prediction using support vector regression with data-dependent parameters. Expert Syst. Appl. 36(2): 2979-2986 (2009) - [j15]Manoel Castro-Neto, Young-Seon Jeong, Myong Kee Jeong, Lee D. Han:
Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions. Expert Syst. Appl. 36(3): 6164-6173 (2009) - [j14]H.-W. Cho, Seung H. Baek, Eunseog Youn, Myong K. Jeong, A. Taylor:
A two-stage classification procedure for near-infrared spectra based on multi-scale vertical energy wavelet thresholding and SVM-based gradient-recursive feature elimination. J. Oper. Res. Soc. 60(8): 1107-1115 (2009) - [j13]Eunseog Youn, Myong K. Jeong:
Class dependent feature scaling method using naive Bayes classifier for text datamining. Pattern Recognit. Lett. 30(5): 477-485 (2009) - [j12]Jong In Park, Seung H. Baek, Myong K. Jeong, Suk Joo Bae:
Dual Features Functional Support Vector Machines for Fault Detection of Rechargeable Batteries. IEEE Trans. Syst. Man Cybern. Part C 39(4): 480-485 (2009) - 2008
- [j11]Hyun-Woo Cho, Kwang-Jae Kim, Myong Kee Jeong:
Determination of influential factors and diagnostics using multivariate statistical relationships between variables and faults. Expert Syst. Appl. 35(1-2): 30-40 (2008) - [j10]Hyun-Woo Cho, Myong Kee Jeong:
Enhanced prediction of misalignment conditions from spectral data using feature selection and filtering. Expert Syst. Appl. 35(1-2): 451-458 (2008) - [j9]Hyun-Woo Cho, Seoung Bum Kim, Myong Kee Jeong, Youngja Park, Thomas R. Ziegler, Dean P. Jones:
Genetic algorithm-based feature selection in high-resolution NMR spectra. Expert Syst. Appl. 35(3): 967-975 (2008) - [j8]Hyun-Woo Cho, Seoung Bum Kim, Myong Kee Jeong, Youngja Park, Nana Gletsu Miller, Thomas R. Ziegler, Dean P. Jones:
Discovery of metabolite features for the modelling and analysis of high-resolution NMR spectra. Int. J. Data Min. Bioinform. 2(2): 176-192 (2008) - [j7]Jong In Park, Seong Jun Kim, Myong K. Jeong:
A new tolerance design method for a secondary rechargeable battery using design of experiments with mixture. Qual. Reliab. Eng. Int. 24(5): 543-556 (2008) - [j6]Yi Fang, Myong K. Jeong:
Robust Probabilistic Multivariate Calibration Model. Technometrics 50(3): 305-316 (2008) - 2007
- [j5]Zheng Du, Myong K. Jeong, Seong G. Kong:
Band Selection of Hyperspectral Images for Automatic Detection of Poultry Skin Tumors. IEEE Trans Autom. Sci. Eng. 4(3): 332-339 (2007) - [j4]Olufemi A. Omitaomu, Myong Kee Jeong, Adedeji B. Badiru, J. Wesley Hines:
Online Support Vector Regression Approach for the Monitoring of Motor Shaft Misalignment and Feedwater Flow Rate. IEEE Trans. Syst. Man Cybern. Part C 37(5): 962-970 (2007) - 2006
- [j3]Myong K. Jeong, Jye-Chyi Lu, Xiaoming Huo, Brani Vidakovic, Di Chen:
Wavelet-Based Data Reduction Techniques for Process Fault Detection. Technometrics 48(1): 26-40 (2006) - [j2]Uk Jung, Myong K. Jeong, Jye-Chyi Lu:
A Vertical-Energy-Thresholding Procedure for Data Reduction With Multiple Complex Curves. IEEE Trans. Syst. Man Cybern. Part B 36(5): 1128-1138 (2006) - [c1]Yi Fang, Hyun-Woo Cho, Myong Kee Jeong:
Health monitoring of a shaft transmission system via hybrid models of PCR and PLS. SDM 2006: 554-558 - 2005
- [j1]Myong Kee Jeong, Matt Perry, Chen Zhou:
Throughput gain with parallel flow in automated flow lines. IEEE Trans Autom. Sci. Eng. 2(1): 84-86 (2005)
Coauthor Index
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