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Showing results 1 to 6 of 6

Issue DateTitleAuthor(s)TypeView
2016Acquisition of a series of temperature-varied sample spectra to induce characteristic structural changes of components and selection of target-descriptive variables among them for multivariate analysis to improve accuracyChang, Kyeol; Lee, Junghye; Jun, Chi-Hyuck; Chung, HoeilARTICLE420
2018-02Interleaved incremental association Markov blanket as a potential feature selection method for improving accuracy in near-infrared spectroscopic analysisChang, Kyeol; Lee, Junghye; Jun, Chi-Hyuck; Chung, HoeilARTICLE494
2015-10Kernel-based calibration methods combined with multivariate feature selection to improve accuracy of near-infrared spectroscopic analysisLee, Junghye; Chang, Kyeol; Jun, Chi-Hyuck; Cho, Rae-Kwang; Chung, Hoeil; Lee, HyeseonARTICLE475
2015-06-22Markov blanket feature selection to improve accuracy of a multivariate calibration model for spectral dataLee, Junghye; Chang, Kyeol; Lee, Hyeseon; Jun, Chi-Hyuck; Chung, HoeilCONFERENCE37
2015-06-22Selection of variables in a series of spectra collected by continuously changing sample temperature to improve accuracy of multivariate analysisLee, Junghye; Chang, Kyeol; Chung, Hoeil; Lee, HyeseonCONFERENCE36
2014-06-17Support Vector Regression based Recursive Feature Elimination for Compositional Prediction of Naphtha by Near-infrared SpectroscopyLee, Junghye; Lee, Hyeseon; Chung, HoeilCONFERENCE43
Showing results 1 to 6 of 6