Changha Hwang

Kyung Ha Seok, Jooyong Shim, Daehyeon Cho, Gyu-Jeong Noh, Changha Hwang: Semiparametric mixed-effect least squares support vector machine for analyzing pharmacokinetic and pharmacodynamic data. Neurocomputing 74(17): 3412-3419 (2011)

Joo Yong Shim, Changha Hwang: Support vector censored quantile regression under random censoring. Computational Statistics & Data Analysis 53(4): 912-919 (2009)

Insuk Sohn, Jooyong Shim, Changha Hwang, Sujong Kim, Jae Won Lee: Informative transcription factor selection using support vector machine-based generalized approximate cross validation criteria. Computational Statistics & Data Analysis 53(5): 1727-1735 (2009)

Jooyong Shim, Insuk Sohn, Sujong Kim, Jae Won Lee, Paul E. Green, Changha Hwang: Selecting marker genes for cancer classification using supervised weighted kernel clustering and the support vector machine. Computational Statistics & Data Analysis 53(5): 1736-1742 (2009)

Insuk Sohn, Sujong Kim, Changha Hwang, Jae Won Lee: New normalization methods using support vector machine quantile regression approach in microarray analysis. Computational Statistics & Data Analysis 52(8): 4104-4115 (2008)

Dug Hun Hong, Changha Hwang, Kyung Tae Kim: T-sum of sigmoid-shaped fuzzy intervals. Inf. Sci. 177(18): 3831-3839 (2007)

Changha Hwang, Dug Hun Hong, Kyung Ha Seok: Support vector interval regression machine for crisp input and output data. Fuzzy Sets and Systems 157(8): 1114-1125 (2006)

Dug Hun Hong, Changha Hwang, Joo Yong Shim, Kyung Ha Seok: Locally Weighted LS-SVM for Fuzzy Nonlinear Regression with Fuzzy Input-Output. CIS 2006: 317-325

Dug Hun Hong, Changha Hwang: Fuzzy Nonlinear Regression Model Based on LS-SVM in Feature Space. FSKD 2006: 208-216

Joo Yong Shim, Changha Hwang, Sungkyun Nau: Robust LS-SVM Regression Using Fuzzy C-Means Clustering. ICNC (1) 2006: 157-166

Changha Hwang, Dug Hun Hong: Analyzing the Nonlinear Time Series of Turbulent Flows with Kernel Interval Regression Machine. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 13(4): 365-380 (2005)

Dug Hun Hong, Changha Hwang: Interval regression analysis using quadratic loss support vector machine. IEEE T. Fuzzy Systems 13(2): 229-237 (2005)

Changha Hwang, Dug Hun Hong, Eunyoung Na, Hyejung Park, Joo Yong Shim: Interval Regression Analysis Using Support Vector Machine and Quantile Regression. FSKD (1) 2005: 100-109

Changha Hwang, David K. Y. Chiu, Insuk Sohn: Exon Structure Analysis via PCA and ICA of Short-Time Fourier Transform. ICNC (2) 2005: 306-315

Changha Hwang, Joo Yong Shim: A Simple Quantile Regression via Support Vector Machine. ICNC (1) 2005: 512-520

Joo Yong Shim, Changha Hwang: Doubly Regularized Kernel Regression with Heteroscedastic Censored Data. ICNC (1) 2005: 521-527

Changha Hwang, Kyung Ha Seok, Daehyeon Cho: A Prediction Interval Estimation Method for KMSE. ICNC (1) 2005: 536-545

Tae Yoon Kim, Kyong Joo Oh, Insuk Sohn, Changha Hwang: Usefulness of artificial neural networks for early warning system of economic crisis. Expert Syst. Appl. 26(4): 583-590 (2004)

Dug Hun Hong, Changha Hwang, Chulhwan Ahn: Ridge estimation for regression models with crisp inputs and Gaussian fuzzy output. Fuzzy Sets and Systems 142(2): 307-319 (2004)

Dug Hun Hong, Changha Hwang: Ridge Regression Procedures For Fuzzy Models Using Triangular Fuzzy Numbers. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 12(2): 145-160 (2004)

Dug Hun Hong, Changha Hwang: Extended fuzzy regression models using regularization method. Inf. Sci. 164(1-4): 31-46 (2004)

Dug Hun Hong, Changha Hwang: Support vector fuzzy regression machines. Fuzzy Sets and Systems 138(2): 271-281 (2003)

Byung-Joo Kim, Joo Yong Shim, Changha Hwang, Il Kon Kim, Joon Hyun Song: Incremental Feature Extraction Based on Empirical Kernel Map. ISMIS 2003: 440-444

Dug Hun Hong, Changha Hwang: Extended Fuzzy Regression Models. JCIS 2002: 304-308