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ORCIDKichun Lee 0001
Person information
- affiliation: Hanyang University, Department of Industrial Engineering, Seoul, South Korea
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2020 – today
- 2023
[j25]Geonseok Lee, Youngju Yoon, Kichun Lee
:
Anomaly Detection Using an Ensemble of Multi-Point LSTMs. Entropy 25(11): 1480 (2023)- [j24]Geonseok Lee, Pilwon Woo, Kichun Lee:
Data generation using geometrical edge probability for one-class support vector machines. Expert Syst. Appl. 229(Part A): 120387 (2023) - [j23]Kichun Lee, Sunghun Hwangbo, Dongwook Yang, Geonseok Lee:
Compression of Deep-Learning Models Through Global Weight Pruning Using Alternating Direction Method of Multipliers. Int. J. Comput. Intell. Syst. 16(1): 17 (2023) - [j22]Geonseok Lee, Eunchan Sim, Youngju Yoon, Kichun Lee:
Probabilistic orthogonal-signal-corrected principal component analysis. Knowl. Based Syst. 268: 110473 (2023) - [j21]Insung Um, Geonseok Lee, Kichun Lee:
Adaptive boosting for ordinal target variables using neural networks. Stat. Anal. Data Min. 16(3): 257-271 (2023) - 2022
- [j20]Hyungjin Park, Geonseok Lee, Kichun Lee:
Dual recurrent neural networks using partial linear dependence for multivariate time series. Expert Syst. Appl. 208: 118205 (2022) - [j19]Geonseok Lee, Kichun Lee:
Online dependence clustering of multivariate streaming data using one-class SVMs. Int. J. Intell. Syst. 37(6): 3682-3708 (2022) - [j18]Minho Ryu, Geonseok Lee, Kichun Lee:
Knowledge distillation for BERT unsupervised domain adaptation. Knowl. Inf. Syst. 64(11): 3113-3128 (2022) - [j17]Geonseok Lee, Kichun Lee:
DNN compression by ADMM-based joint pruning. Knowl. Based Syst. 239: 107988 (2022) - 2021
- [j16]Geonseok Lee, Kichun Lee:
Feature selection using distributions of orthogonal PLS regression vectors in spectral data. BioData Min. 14(1): 7 (2021) - [j15]Minho Ryu, Geonseok Lee, Kichun Lee:
Online sequential extreme studentized deviate tests for anomaly detection in streaming data with varying patterns. Clust. Comput. 24(3): 1975-1987 (2021) - 2020
- [i1]Minho Ryu, Kichun Lee:
Knowledge Distillation for BERT Unsupervised Domain Adaptation. CoRR abs/2010.11478 (2020)
2010 – 2019
- 2019
- [j14]Youngja Park, Taewoon Kong, James R. Roede, Dean P. Jones, Kichun Lee:
A biplot correlation range for group-wise metabolite selection in mass spectrometry. BioData Min. 12(1): 4:1-4:24 (2019) - [j13]Hyun-Kyo Oh, Jin-Woo Kim, Sang-Wook Kim, Kichun Lee:
A unified framework of trust prediction based on message passing. Clust. Comput. 22(Suppl 1): 2049-2061 (2019) - [j12]Jaehwan Lee, Taewoon Kong, Kichun Lee:
Ensemble patch sparse coding: A feature learning method for classification of images with ambiguous edges. Expert Syst. Appl. 124: 1-12 (2019) - 2018
- [j11]Won-Seok Hwang, Shaoyu Li, Sang-Wook Kim, Kichun Lee:
Data imputation using a trust network for recommendation via matrix factorization. Comput. Sci. Inf. Syst. 15(2): 347-368 (2018) - [j10]Taewoon Kong, Kyungje Seong, Kiburm Song, Kichun Lee:
Two-mode modularity clustering of parts and activities for cell formation problems. Comput. Oper. Res. 100: 77-88 (2018) - [j9]Mangi Kang, Jaelim Ahn, Kichun Lee:
Opinion mining using ensemble text hidden Markov models for text classification. Expert Syst. Appl. 94: 218-227 (2018) - [j8]Elena Ivannikova, Hyunwoo Park, Timo Hämäläinen, Kichun Lee:
Revealing community structures by ensemble clustering using group diffusion. Inf. Fusion 42: 24-36 (2018) - 2017
- [j7]Kyo-Sung Jeong, Sungchae Lim, Kichun Lee, Sang-Wook Kim:
A flash-aware buffering scheme with the on-the-fly redo for efficient data management in flash storage. Comput. Sci. Inf. Syst. 14(2): 369-392 (2017) - [j6]Taewoon Kong, Kichun Lee:
Semi-supervised Bayesian adaptive multiresolution shrinkage for wavelet-based denoising. Commun. Stat. Simul. Comput. 46(6): 4399-4418 (2017) - [j5]Kiburm Song, Kichun Lee:
Predictability-based collective class association rule mining. Expert Syst. Appl. 79: 1-7 (2017) - 2016
- [c6]Yeon-Chang Lee, Jungwan Yeom, Kiburm Song, Jiwoon Ha, Kichun Lee, Jangho Yeo, Sang-Wook Kim:
Recommendation of research papers in DBpia: A Hybrid approach exploiting content and collaborative data. SMC 2016: 2966-2971 - 2014
- [j4]Hyunwoo Park, Kichun Lee:
Dependence clustering, a method revealing community structure with group dependence. Knowl. Based Syst. 60: 58-72 (2014) - [c5]Won-Seok Hwang, Shaoyu Li, Sang-Wook Kim, Kichun Lee:
Data imputation using a trust network for recommendation. WWW (Companion Volume) 2014: 299-300 - 2013
- [j3]Kichun Lee, Alexander G. Gray, Heeyoung Kim:
Dependence maps, a dimensionality reduction with dependence distance for high-dimensional data. Data Min. Knowl. Discov. 26(3): 512-532 (2013) - [j2]Kichun Lee, Jun-Hee Heu, Jieun Kim:
Support vector machine-based boundary recovery of a medical image segment in low resolution. J. Electronic Imaging 22(3): 033010 (2013) - [c4]Hyun-Kyo Oh, Jin-Woo Kim, Sang-Wook Kim, Kichun Lee:
A probability-based trust prediction model using trust-message passing. WWW (Companion Volume) 2013: 161-162 - 2012
- [j1]Kichun Sky Lee, Brani Vidakovic:
Semi-supervised wavelet shrinkage. Comput. Stat. Data Anal. 56(6): 1681-1691 (2012) - 2011
- [c3]Erin K. Hamilton, Seonghye Jeon, Pepa Ramírez-Cobo, Kichun Sky Lee, Brani Vidakovic:
Diagnostic Classification of Digital Mammograms by Wavelet-Based Spectral Tools: A Comparative Study. BIBM 2011: 384-389
2000 – 2009
- 2008
- [c2]Gordana Derado, Kichun Sky Lee, Orietta Nicolis, F. DuBois Bowman, Mary Newell, Fabrizio F. Rugger, Brani Vidakovic:
Wavelet-Based 3-D Multifractal Spectrum with Applications in Breast MRI Images. ISBRA 2008: 281-292 - 2006
- [c1]Hyunchul Ahn, Kichun Lee, Kyoung-Jae Kim:
Global Optimization of Support Vector Machines Using Genetic Algorithms for Bankruptcy Prediction. ICONIP (3) 2006: 420-429
Coauthor Index
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