Changha Hwang

Publication Activity (10 Years)

Years Active: 1997-2023
Publications (10 Years): 5

Top Topics

Quantile Regression

Top Venues

Wirel. Commun. Mob. Comput.

Publications

Hangbin Lee, Il Do Ha, Changha Hwang, Youngjo Lee
Subject-specific Deep Neural Networks for Count Data with High-cardinality Categorical Features. CoRR (2023)
Masoud Reyhani Hamedani, Dongjin Shin, Myeonggeon Lee, Seong-je Cho, Changha Hwang
AndroClass: An Effective Method to Classify Android Applications by Applying Deep Neural Networks to Comprehensive Features. Wirel. Commun. Mob. Comput. 2018 (2018)
Jooyong Shim, Changha Hwang
Kernel-based orthogonal quantile regression model. Model. Assist. Stat. Appl. 12 (3) (2017)
Jooyong Shim, Insuk Sohn, Changha Hwang
Kernel-based random effect time-varying coefficient model for longitudinal data. Neurocomputing 267 (2017)
Jooyong Shim, Changha Hwang, Kyung Ha Seok
Support vector quantile regression with varying coefficients. Comput. Stat. 31 (3) (2016)
Jooyong Shim, Changha Hwang
Varying coefficient modeling via least squares support vector regression. Neurocomputing 161 (2015)
Jooyong Shim, Okmyung Bin, Changha Hwang
Semiparametric spatial effects kernel minimum squared error model for predicting housing sales prices. Neurocomputing 124 (2014)
Jooyong Shim, Changha Hwang
Estimating small area mean with mixed and fixed effects support vector median regressions. Neurocomputing 145 (2014)
Jooyong Shim, Changha Hwang, Kyung Ha Seok
Composite support vector quantile regression estimation. Comput. Stat. 29 (6) (2014)
Jooyong Shim, Yongtae Kim, Jangtaek Lee, Changha Hwang
Estimating value at risk with semiparametric support vector quantile regression. Comput. Stat. 27 (4) (2012)
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) (2011)
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. Comput. Stat. Data Anal. 53 (5) (2009)
Jooyong Shim, Changha Hwang
Support vector censored quantile regression under random censoring. Comput. Stat. Data Anal. 53 (4) (2009)
Jooyong Shim, Changha Hwang, Kyung Ha Seok
Non-crossing quantile regression via doubly penalized kernel machine. Comput. Stat. 24 (1) (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. Comput. Stat. Data Anal. 53 (5) (2009)
Insuk Sohn, Sujong Kim, Changha Hwang, Jae Won Lee
New normalization methods using support vector machine quantile regression approach in microarray analysis. Comput. Stat. Data Anal. 52 (8) (2008)
Dug Hun Hong, Changha Hwang, Kyung Tae Kim
T-sum of sigmoid-shaped fuzzy intervals. Inf. Sci. 177 (18) (2007)
Dug Hun Hong, Changha Hwang, Jooyong Shim, Kyung Ha Seok
Locally Weighted LS-SVM for Fuzzy Nonlinear Regression with Fuzzy Input-Output. CIS (2006)
Changha Hwang, Dug Hun Hong, Kyung Ha Seok
Support vector interval regression machine for crisp input and output data. Fuzzy Sets Syst. 157 (8) (2006)
Dug Hun Hong, Changha Hwang
Fuzzy Nonlinear Regression Model Based on LS-SVM in Feature Space. FSKD (2006)
Jooyong Shim, Changha Hwang, Sungkyun Nau
Robust LS-SVM Regression Using Fuzzy C-Means Clustering. ICNC (1) (2006)
Changha Hwang, Jooyong Shim
A Simple Quantile Regression via Support Vector Machine. ICNC (1) (2005)
Dug Hun Hong, Changha Hwang
Interval regression analysis using quadratic loss support vector machine. IEEE Trans. Fuzzy Syst. 13 (2) (2005)
Changha Hwang, Kyung Ha Seok, Daehyeon Cho
A Prediction Interval Estimation Method for KMSE. ICNC (1) (2005)
Jooyong Shim, Changha Hwang
Doubly Regularized Kernel Regression with Heteroscedastic Censored Data. ICNC (1) (2005)
Changha Hwang, Dug Hun Hong, Eunyoung Na, Hyejung Park, Jooyong Shim
Interval Regression Analysis Using Support Vector Machine and Quantile Regression. FSKD (1) (2005)
Changha Hwang, Dug Hun Hong
Analyzing the Nonlinear Time Series of Turbulent Flows with Kernel Interval Regression Machine. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 13 (4) (2005)
Changha Hwang, David K. Y. Chiu, Insuk Sohn
Exon Structure Analysis via PCA and ICA of Short-Time Fourier Transform. ICNC (2) (2005)
Dug Hun Hong, Changha Hwang
Extended fuzzy regression models using regularization method. Inf. Sci. 164 (1-4) (2004)
Dug Hun Hong, Changha Hwang, Chulhwan Ahn
Ridge estimation for regression models with crisp inputs and Gaussian fuzzy output. Fuzzy Sets Syst. 142 (2) (2004)
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) (2004)
Dug Hun Hong, Changha Hwang
Ridge Regression Procedures For Fuzzy Models Using Triangular Fuzzy Numbers. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 12 (2) (2004)
Byung-Joo Kim, Jooyong Shim, Changha Hwang, Il Kon Kim, Joon Hyun Song
Incremental Feature Extraction Based on Empirical Kernel Map. ISMIS (2003)
Dug Hun Hong, Changha Hwang
Support vector fuzzy regression machines. Fuzzy Sets Syst. 138 (2) (2003)
Dug Hun Hong, Changha Hwang
Extended Fuzzy Regression Models. JCIS (2002)
Dug Hun Hong, Changha Hwang
A T-sum bound of LR-fuzzy numbers. Fuzzy Sets Syst. 91 (2) (1997)