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Lee, Junghye (이정혜)

Department
Department of Industrial Engineering(산업공학과)
Website
http://dm.unist.ac.kr/
Lab
Data Mining Lab. (데이터마이닝 연구실)
Research Keywords
데이터마이닝, 기계학습, 텍스트마이닝, 연합 학습, 분산 학습, Data Mining, Machine Learning, Text mining
Research Interests
We are pursuing to develop the best algorithms, systems, and applications especially for predictive analysis and data privacy and security, which help solving important industrial and management problems and creating value.
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Issue DateTitleAuthor(s)TypeViewAltmetrics
2022-12Prediction of type 2 diabetes using genome-wide polygenic risk score and metabolic profiles: A machine learning analysis of population-based 10-year prospective cohort studyHahn, Seok-Ju; Kim, Suhyeon; Choi, Young Sik, et alARTICLE94 Prediction of type 2 diabetes using genome-wide polygenic risk score and metabolic profiles: A machine learning analysis of population-based 10-year prospective cohort study
2022-10Patient-specific molecular response dynamics can predict the possibility of relapse during the second treatment-free remission attempt in chronic myelogenous leukemiaKim, Eunjung; Hwang, Eo-Jin; Lee, Junghye, et alARTICLE176 Patient-specific molecular response dynamics can predict the possibility of relapse during the second treatment-free remission attempt in chronic myelogenous leukemia
2022-07Technology Opportunity Discovery using Deep Learning-based Text Mining and a Knowledge GraphLee, MyoungHoon; Kim, Suhyeon; Kim, Hangyeol, et alARTICLE128 Technology Opportunity Discovery using Deep Learning-based Text Mining and a Knowledge Graph
2022-06Multichannel convolution neural network for gas mixture classificationOh, YongKyung; Lim, Chiehyeon; Lee, Junghye, et alARTICLE613 Multichannel convolution neural network for gas mixture classification
2022-03Risk score-embedded deep learning for biological age estimation: Development and validationKim, Suhyeon; Kim, Hangyeol; Lee, Eun-Sol, et alARTICLE530 Risk score-embedded deep learning for biological age estimation: Development and validation
2021-11A Multi-stage Data Mining Approach for Liquid Bulk Cargo Volume Analysis based on Bill of Lading DataKim, Suhyeon; Sohn, Wonho; Lim, Dongcheol, et alARTICLE654 A Multi-stage Data Mining Approach for Liquid Bulk Cargo Volume Analysis based on Bill of Lading Data
2021-08Bilingual Autoencoder-based Efficient Harmonization of Multi-source Private Data for Accurate Predictive ModelingLee, Taek-Ho; Lee, Junghye; Jun, Chi-HyuckARTICLE474 Bilingual Autoencoder-based Efficient Harmonization of Multi-source Private Data for Accurate Predictive Modeling
2021-07A product acceptance decision-making method based on process capability with considering gauge measurement errorsRakhmawati, Dwi Yuli; Lee, JunghyeARTICLE333 A product acceptance decision-making method based on process capability with considering gauge measurement errors
2021-03An efficient multivariate feature ranking method for gene selection in high-dimensional microarray dataLee, Junghye; Choi, Inyoung; Jun, Chi-HyuckARTICLE621 An efficient multivariate feature ranking method for gene selection in high-dimensional microarray data
2020-11Markov blanket-based universal feature selection for classification and regression of mixed-type dataLee, Junghye; Jeong, Jun-Yong; Jun, Chi-HyuckARTICLE872 Markov blanket-based universal feature selection for classification and regression of mixed-type data
2020-08Word2vec-based latent semantic analysis (W2V-LSA) for topic modeling: A study on blockchain technology trend analysisKim, Suhyeon; Park, Haecheong; Lee, JunghyeARTICLE767 Word2vec-based latent semantic analysis (W2V-LSA) for topic modeling: A study on blockchain technology trend analysis
2020-04Different Spectral Domain Transformation for Land Cover Classification Using Convolutional Neural Networks with Multi-Temporal Satellite ImageryLee, Junghee; Han, Daehyeon; Shin, Minso, et alARTICLE461 Different Spectral Domain Transformation for Land Cover Classification Using Convolutional Neural Networks with Multi-Temporal Satellite Imagery
2020-01Secure and Differentially Private Logistic Regression for Horizontally Distributed DataKim, Miran; Lee, Junghye; Ohno-Machado, Lucila, et alARTICLE964 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 alARTICLE810 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 alARTICLE1160 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 alARTICLE887 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 alARTICLE1230 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, JunghoARTICLE1008 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 alARTICLE819 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 alARTICLE794 Risk assessment for hypertension and hypertension complications incidences using a Bayesian network

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