사진

  • Scopus

Lee, Junghye (이정혜)

Department
School of Management Engineering(경영공학부)
Research Interests
Data Mining in Healthcare, Chemometrics, Machine Learning, Probabilistic Graphical Models
Lab
Website
https://sites.google.com/site/junghyelee08/
This table browses all dspace content
Issue DateTitleAuthor(s)TypeViewAltmetrics
2020-01Secure and Differentially Private Logistic Regression for Horizontally Distributed DataKim, Miran; Lee, Junghye; Ohno-Machado, Lucila, et alARTICLE271 Secure and Differentially Private Logistic Regression for Horizontally Distributed Data
2018-12Convolutional Neural Network-Based Land Cover Classification Using 2-D Spectral Reflectance Curve Graphs With Multitemporal Satellite ImageryKim, Miae; Lee, Junghee; Han, Daehyun, et alARTICLE255 Convolutional Neural Network-Based Land Cover Classification Using 2-D Spectral Reflectance Curve Graphs With Multitemporal Satellite Imagery
2018-08A Data-Driven Procedure of Providing a Health Promotion Program for Hypertension PreventionLee, Junghye; Kwon, Ryeok-Hwan; Kim, Hyung Woo, et alARTICLE544 A Data-Driven Procedure of Providing a Health Promotion Program for Hypertension Prevention
2018-05Privacy-Preserving Predictive Modeling: Harmonization of Contextual Embeddings From Different SourcesHuang, Yingxiang; Lee, Junghye; Wang, Shang, et alARTICLE369 Privacy-Preserving Predictive Modeling: Harmonization of Contextual Embeddings From Different Sources
2018-04Privacy-Preserving Patient Similarity Learning in a Federated Environment: Development and AnalysisLee, Junghye; Sun, Jimeng; Wang, Fei, et alARTICLE406 Privacy-Preserving Patient Similarity Learning in a Federated Environment: Development and Analysis
2018-04Deep learning-based monitoring of overshooting cloud tops from geostationary satellite dataKim, Miae; Lee, Junghye; Im, JunghoARTICLE355 Deep learning-based monitoring of overshooting cloud tops from geostationary satellite data
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, et alARTICLE341 Interleaved incremental association Markov blanket as a potential feature selection method for improving accuracy in near-infrared spectroscopic analysis
2016-10Risk assessment for hypertension and hypertension complications incidences using a Bayesian networkLee, Junghye; Lee, Wonji; Park, Il-Su, et alARTICLE275 Risk assessment for hypertension and hypertension complications incidences using a Bayesian network
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, et alARTICLE290 Acquisition 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 accuracy
2015-10Kernel-based calibration methods combined with multivariate feature selection to improve accuracy of near-infrared spectroscopic analysisLee, Junghye; Chang, Kyeol; Jun, Chi-Hyuck, et alARTICLE338 Kernel-based calibration methods combined with multivariate feature selection to improve accuracy of near-infrared spectroscopic analysis
2015-06Classification of High Dimensionality Data through Feature Selection Using Markov BlanketLee, Junghye; Jun, Chi-HyuckARTICLE281 Classification of High Dimensionality Data through Feature Selection Using Markov Blanket
2015-03Causality Analysis for Public and Private Expenditures on Health Using Panel Granger-Causality TestLee, Su-Dong; Lee, Junghye; Jun, Chi-HyuckARTICLE305 Causality Analysis for Public and Private Expenditures on Health Using Panel Granger-Causality Test
2014-12Prediction of Hypertension Complications Risk Using Classification TechniquesLee, Wonji; Lee, Junghye; Lee, Hyeseon, et alARTICLE304 Prediction of Hypertension Complications Risk Using Classification Techniques

MENU