Gradient LASSO for feature selection. - Yongdai Kim; Jinseog Kim (ICML, 2004)

Convex Hull Ensemble Machine for Regression and Classification. - Yongdai Kim; Jinseog Kim (Knowl. Inf. Syst., 2004)

Maximum a posteriori pruning on decision trees and its application to bootstrap BUMPing. - Jinseog Kim; Yongdai Kim (Comput. Stat. Data Anal., 2006)

Collective Intelligence-Based Web Page Search: Combining Folksonomy and Link-Based Ranking Strategy. - Tao Zhang 001; Byungjeong Lee; Sooyong Kang; Han-Joon Kim; Jinseog Kim (CIT (2), 2009)

Gradient lasso for Cox proportional hazards model. - Insuk Sohn; Jinseog Kim; Sin-Ho Jung; Changyi Park (Bioinform., 2009)

Kalman Filter vs. Particle Filter in Improving K-NN Indoor Positioning. - Jaegeol Yim; Jinseog Kim; Gyeyoung Lee; Kyubark Shim (KES (2), 2011)

Analysis of Survival Data with Group Lasso. - Jinseog Kim; Insuk Sohn; Sin-Ho Jung; Sujong Kim; Changyi Park (Commun. Stat. Simul. Comput., 2012)

Prediction of a time-to-event trait using genome wide SNP data. - Jinseog Kim; Insuk Sohn; Dae-Soon Son; Dong Hwan Kim; TaeJin Ahn; Sin-Ho Jung (BMC Bioinform., 2013)

SNP Selection in Genome-Wide Association Studies via Penalized Support Vector Machine with MAX Test. - Jinseog Kim; Insuk Sohn; Dennis Dong Hwan Kim; Sin-Ho Jung (Comput. Math. Methods Medicine, 2013)

Robust D-optimal designs under correlated error, applicable invariantly for some lifetime distributions. - Rabindra Nath Das; Jinseog Kim; Jeong-Soo Park 003 (Reliab. Eng. Syst. Saf., 2015)

Semantic text classification with tensor space model-based naïve Bayes. - Han-Joon Kim; Jiyun Kim; Jinseog Kim (SMC, 2016)

Correlated log-normal composite error models for different scientific domains. - Rabindra Nath Das; Jinseog Kim; Sabyasachi Mukherjee (Model. Assist. Stat. Appl., 2017)

Towards perfect text classification with Wikipedia-based semantic Naïve Bayes learning. - Han-joon Kim; Jiyun Kim; Jinseog Kim; Pureum Lim (Neurocomputing, 2018)