Global Optimization of Support Vector Machines Using Genetic Algorithms for Bankruptcy Prediction. - Hyunchul Ahn; Kichun Lee 001; Kyoung-Jae Kim (ICONIP (3), 2006)

Wavelet-Based 3-D Multifractal Spectrum with Applications in Breast MRI Images. - Gordana Derado; Kichun Sky Lee; Orietta Nicolis; F. DuBois Bowman; Mary Newell; Fabrizio F. Rugger; Brani Vidakovic (ISBRA, 2008)

Diagnostic Classification of Digital Mammograms by Wavelet-Based Spectral Tools: A Comparative Study. - Erin K. Hamilton; Seonghye Jeon; Pepa Ramírez-Cobo; Kichun Sky Lee; Brani Vidakovic (BIBM, 2011)

Semi-supervised wavelet shrinkage. - Kichun Sky Lee; Brani Vidakovic (Comput. Stat. Data Anal., 2012)

A probability-based trust prediction model using trust-message passing. - Hyun-Kyo Oh; Jin-Woo Kim; Sang-Wook Kim; Kichun Lee 001 (WWW (Companion Volume), 2013)

Dependence maps, a dimensionality reduction with dependence distance for high-dimensional data. - Kichun Lee 001; Alexander G. Gray; Heeyoung Kim (Data Min. Knowl. Discov., 2013)

Support vector machine-based boundary recovery of a medical image segment in low resolution. - Kichun Lee 001; Jun-Hee Heu; Jieun Kim (J. Electronic Imaging, 2013)

Data imputation using a trust network for recommendation. - Won-Seok Hwang; Shaoyu Li; Sang-Wook Kim; Kichun Lee 001 (WWW (Companion Volume), 2014)

Dependence clustering, a method revealing community structure with group dependence. - Hyunwoo Park; Kichun Lee 001 (Knowl. Based Syst., 2014)

Recommendation of research papers in DBpia: A Hybrid approach exploiting content and collaborative data. - Yeon-Chang Lee; Jungwan Yeom; Kiburm Song; Jiwoon Ha; Kichun Lee 001; Jangho Yeo; Sang-Wook Kim (SMC, 2016)

A flash-aware buffering scheme with the on-the-fly redo for efficient data management in flash storage. - Kyo-Sung Jeong; Sungchae Lim; Kichun Lee 001; Sang-Wook Kim (Comput. Sci. Inf. Syst., 2017)

Semi-supervised Bayesian adaptive multiresolution shrinkage for wavelet-based denoising. - Taewoon Kong; Kichun Lee 001 (Commun. Stat. Simul. Comput., 2017)

Predictability-based collective class association rule mining. - Kiburm Song; Kichun Lee 001 (Expert Syst. Appl., 2017)

Data imputation using a trust network for recommendation via matrix factorization. - Won-Seok Hwang; Shaoyu Li; Sang-Wook Kim; Kichun Lee 001 (Comput. Sci. Inf. Syst., 2018)

Two-mode modularity clustering of parts and activities for cell formation problems. - Taewoon Kong; Kyungje Seong; Kiburm Song; Kichun Lee 001 (Comput. Oper. Res., 2018)

Opinion mining using ensemble text hidden Markov models for text classification. - Mangi Kang; Jaelim Ahn; Kichun Lee 001 (Expert Syst. Appl., 2018)

Revealing community structures by ensemble clustering using group diffusion. - Elena Ivannikova; Hyunwoo Park; Timo Hämäläinen 002; Kichun Lee 001 (Inf. Fusion, 2018)

A biplot correlation range for group-wise metabolite selection in mass spectrometry. - Youngja Park; Taewoon Kong; James R. Roede; Dean P. Jones; Kichun Lee 001 (BioData Min., 2019)

A unified framework of trust prediction based on message passing. - Hyun-Kyo Oh; Jin-Woo Kim; Sang-Wook Kim; Kichun Lee 001 (Clust. Comput., 2019)

Ensemble patch sparse coding: A feature learning method for classification of images with ambiguous edges. - Jaehwan Lee; Taewoon Kong; Kichun Lee 001 (Expert Syst. Appl., 2019)

Knowledge Distillation for BERT Unsupervised Domain Adaptation. - Minho Ryu; Kichun Lee 001 (CoRR, 2020)

Feature selection using distributions of orthogonal PLS regression vectors in spectral data. - Geonseok Lee; Kichun Lee 001 (BioData Min., 2021)

Online sequential extreme studentized deviate tests for anomaly detection in streaming data with varying patterns. - Minho Ryu; Geonseok Lee; Kichun Lee 001 (Clust. Comput., 2021)

Dual recurrent neural networks using partial linear dependence for multivariate time series. - Hyungjin Park; Geonseok Lee; Kichun Lee 001 (Expert Syst. Appl., 2022)

Online dependence clustering of multivariate streaming data using one-class SVMs. - Geonseok Lee; Kichun Lee 001 (Int. J. Intell. Syst., 2022)

Knowledge distillation for BERT unsupervised domain adaptation. - Minho Ryu; Geonseok Lee; Kichun Lee 001 (Knowl. Inf. Syst., 2022)

DNN compression by ADMM-based joint pruning. - Geonseok Lee; Kichun Lee 001 (Knowl. Based Syst., 2022)

Probabilistic orthogonal-signal-corrected principal component analysis. - Geonseok Lee; Eunchan Sim; Youngju Yoon; Kichun Lee 001 (Knowl. Based Syst., 2023)

Adaptive boosting for ordinal target variables using neural networks. - Insung Um; Geonseok Lee; Kichun Lee 001 (Stat. Anal. Data Min., 2023)

Anomaly Detection Using an Ensemble of Multi-Point LSTMs. - Geonseok Lee; Youngju Yoon; Kichun Lee 001 (Entropy, 2023)

Data generation using geometrical edge probability for one-class support vector machines. - Geonseok Lee; Pilwon Woo; Kichun Lee 001 (Expert Syst. Appl., 2023)

Compression of Deep-Learning Models Through Global Weight Pruning Using Alternating Direction Method of Multipliers. - Kichun Lee 001; Sunghun Hwangbo; Dongwook Yang; Geonseok Lee (Int. J. Comput. Intell. Syst., 2023)

A two-layer regression network for robust and accurate domain adaptation. - Geonseok Lee; Kichun Lee 001 (Pattern Recognit., 2025)