Jinseog Kim

According to our database, Jinseog Kim authored at least 13 papers between 2004 and 2018.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2018

Towards perfect text classification with Wikipedia-based semantic Naïve Bayes learning.

Han-joon Kim, Jiyun Kim, Jinseog Kim, Pureum Lim

Neurocomputing, 2018

2017

Correlated log-normal composite error models for different scientific domains.

Rabindra Nath Das, Jinseog Kim, Sabyasachi Mukherjee

Model. Assist. Stat. Appl., 2017

2016

Semantic text classification with tensor space model-based naïve Bayes.

Han-Joon Kim, Jiyun Kim, Jinseog Kim

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

2015

Robust D-optimal designs under correlated error, applicable invariantly for some lifetime distributions.

Rabindra Nath Das, Jinseog Kim, Jeong-Soo Park

Reliab. Eng. Syst. Saf., 2015

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

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

2012

Analysis of Survival Data with Group Lasso.

Jinseog Kim, Insuk Sohn, Sin-Ho Jung, Sujong Kim, Changyi Park

Commun. Stat. Simul. Comput., 2012

2011

Kalman Filter vs. Particle Filter in Improving K-NN Indoor Positioning.

Jaegeol Yim, Jinseog Kim, Gyeyoung Lee, Kyubark Shim

Proceedings of the Knowlege-Based and Intelligent Information and Engineering Systems, 2011

2009

Gradient lasso for Cox proportional hazards model.

Insuk Sohn, Jinseog Kim, Sin-Ho Jung, Changyi Park

Bioinform., 2009

Collective Intelligence-Based Web Page Search: Combining Folksonomy and Link-Based Ranking Strategy.

Tao Zhang, Byungjeong Lee, Sooyong Kang, Han-Joon Kim, Jinseog Kim

Proceedings of the Ninth IEEE International Conference on Computer and Information Technology, 2009

2006

Maximum a posteriori pruning on decision trees and its application to bootstrap BUMPing.

Jinseog Kim, Yongdai Kim

Comput. Stat. Data Anal., 2006

2004

Convex Hull Ensemble Machine for Regression and Classification.

Yongdai Kim, Jinseog Kim

Knowl. Inf. Syst., 2004

Gradient LASSO for feature selection.

Yongdai Kim, Jinseog Kim

Proceedings of the Machine Learning, 2004