Jaewook Lee
Jaewook Lee
Professor of Industrial Engineering, Seoul National University
Verified email at - Homepage
Cited by
Cited by
An empirical study on modeling and prediction of bitcoin prices with bayesian neural networks based on blockchain information
H Jang, J Lee
Ieee Access 6, 5427-5437, 2017
An improved cluster labeling method for support vector clustering
J Lee, D Lee
IEEE Transactions on pattern analysis and machine intelligence 27 (3), 461-464, 2005
Dynamic characterization of cluster structures for robust and inductive support vector clustering
J Lee, D Lee
IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (11), 1869 …, 2006
Domain described support vector classifier for multi-classification problems
D Lee, J Lee
Pattern Recognition 40 (1), 41-51, 2007
Classification-based collaborative filtering using market basket data
JS Lee, CH Jun, J Lee, S Kim
Expert systems with applications 29 (3), 700-704, 2005
Improving memory-based collaborative filtering via similarity updating and prediction modulation
B Jeong, J Lee, H Cho
Information Sciences 180 (5), 602-612, 2010
A novel method for measuring semantic similarity for XML schema matching
B Jeong, D Lee, H Cho, J Lee
Expert Systems with Applications 34 (3), 1651-1658, 2008
Improved churn prediction in telecommunication industry by analyzing a large network
K Kim, CH Jun, J Lee
Expert Systems with Applications 41 (15), 6575-6584, 2014
Designing of variables repetitive group sampling plan involving minimum average sample number
S Balamurali, H Park, CH Jun, KJ Kim, J Lee
Communications in Statistics-Simulation and Computation 34 (3), 799-809, 2005
A dynamical trajectory-based methodology for systematically computing multiple optimal solutions of general nonlinear programming problems
J Lee, HD Chiang
IEEE Transactions on Automatic Control 49 (6), 888-899, 2004
Predictability of machine learning techniques to forecast the trends of market index prices: Hypothesis testing for the Korean stock markets
S Pyo, J Lee, M Cha, H Jang
PloS one 12 (11), e0188107, 2017
Parametric models and non-parametric machine learning models for predicting option prices: Empirical comparison study over KOSPI 200 Index options
H Park, N Kim, J Lee
Expert Systems with Applications 41 (11), 5227-5237, 2014
Understanding Catastrophic Overfitting in Single-step Adversarial Training
H Kim, W Lee, J Lee
AAAI 2021, 2020
Sentiment visualization and classification via semi-supervised nonlinear dimensionality reduction
K Kim, J Lee
Pattern Recognition 47 (2), 758-768, 2014
The economic value of NFT: Evidence from a portfolio analysis using mean–variance framework
H Ko, B Son, Y Lee, H Jang, J Lee
Finance Research Letters 47, 102784, 2022
Dynamic dissimilarity measure for support-based clustering
D Lee, J Lee
IEEE Transactions on Knowledge and Data Engineering 22 (6), 900-905, 2009
Equilibrium-based support vector machine for semisupervised classification
D Lee, J Lee
IEEE Transactions on Neural Networks 18 (2), 578-583, 2007
Clustering based on gaussian processes
HC Kim, J Lee
Neural computation 19 (11), 3088-3107, 2007
An iterative semi-explicit rating method for building collaborative recommender systems
B Jeong, J Lee, H Cho
Expert Systems with Applications 36 (3), 6181-6186, 2009
Joint economic production allocation and ordering policies in a supply chain consisting of multiple plants and a single retailer
T Kim, Y Hong*, J Lee
International Journal of Production Research 43 (17), 3619-3632, 2005
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