Changha Hwang

36 papers C 2Journal 26Unranked 8
YearRankTypeTitle / Venue / Authors
2023 J jnl
Subject-specific Deep Neural Networks for Count Data with High-cardinality Categorical Features.
CoRR
Hangbin Lee, Il Do Ha, Changha Hwang, Youngjo Lee
2018 J jnl
AndroClass: An Effective Method to Classify Android Applications by Applying Deep Neural Networks to Comprehensive Features.
Wirel. Commun. Mob. Comput.
Masoud Reyhani Hamedani, Dongjin Shin, Myeonggeon Lee, Seong-je Cho, Changha Hwang
2017 J jnl
Kernel-based orthogonal quantile regression model.
Model. Assist. Stat. Appl.
JooYong Shim, Changha Hwang
2017 J jnl
Kernel-based random effect time-varying coefficient model for longitudinal data.
Neurocomputing
JooYong Shim, Insuk Sohn, Changha Hwang
2016 J jnl
Support vector quantile regression with varying coefficients.
Comput. Stat.
JooYong Shim, Changha Hwang, Kyung Ha Seok
2015 J jnl
Varying coefficient modeling via least squares support vector regression.
Neurocomputing
JooYong Shim, Changha Hwang
2014 J jnl
Composite support vector quantile regression estimation.
Comput. Stat.
JooYong Shim, Changha Hwang, Kyung Ha Seok
2014 J jnl
Estimating small area mean with mixed and fixed effects support vector median regressions.
Neurocomputing
JooYong Shim, Changha Hwang
2014 J jnl
Semiparametric spatial effects kernel minimum squared error model for predicting housing sales prices.
Neurocomputing
JooYong Shim, Okmyung Bin, Changha Hwang
2012 J jnl
Estimating value at risk with semiparametric support vector quantile regression.
Comput. Stat.
JooYong Shim, Yongtae Kim, Jangtaek Lee, Changha Hwang
2011 J jnl
Semiparametric mixed-effect least squares support vector machine for analyzing pharmacokinetic and pharmacodynamic data.
Neurocomputing
Kyung Ha Seok, JooYong Shim, Daehyeon Cho, Gyu-Jeong Noh, Changha Hwang
2009 J jnl
Informative transcription factor selection using support vector machine-based generalized approximate cross validation criteria.
Comput. Stat. Data Anal.
Insuk Sohn, JooYong Shim, Changha Hwang, Sujong Kim, Jae Won Lee
2009 J jnl
Non-crossing quantile regression via doubly penalized kernel machine.
Comput. Stat.
JooYong Shim, Changha Hwang, Kyung Ha Seok
2009 J jnl
Selecting marker genes for cancer classification using supervised weighted kernel clustering and the support vector machine.
Comput. Stat. Data Anal.
JooYong Shim, Insuk Sohn, Sujong Kim, Jae Won Lee, Paul E. Green, Changha Hwang
2009 J jnl
Support vector censored quantile regression under random censoring.
Comput. Stat. Data Anal.
JooYong Shim, Changha Hwang
2008 J jnl
New normalization methods using support vector machine quantile regression approach in microarray analysis.
Comput. Stat. Data Anal.
Insuk Sohn, Sujong Kim, Changha Hwang, Jae Won Lee
2007 J jnl
T-sum of sigmoid-shaped fuzzy intervals.
Inf. Sci.
Dug Hun Hong, Changha Hwang, Kyung Tae Kim
2006 — conf
Fuzzy Nonlinear Regression Model Based on LS-SVM in Feature Space.
FSKD
Dug Hun Hong, Changha Hwang
2006 C conf
Locally Weighted LS-SVM for Fuzzy Nonlinear Regression with Fuzzy Input-Output.
CIS
Dug Hun Hong, Changha Hwang, JooYong Shim, Kyung Ha Seok
2006 — conf
Robust LS-SVM Regression Using Fuzzy C-Means Clustering.
ICNC (1)
JooYong Shim, Changha Hwang, Sungkyun Nau
2006 J jnl
Support vector interval regression machine for crisp input and output data.
Fuzzy Sets Syst.
Changha Hwang, Dug Hun Hong, Kyung Ha Seok
2005 — conf
A Prediction Interval Estimation Method for KMSE.
ICNC (1)
Changha Hwang, Kyung Ha Seok, Daehyeon Cho
2005 — conf
A Simple Quantile Regression via Support Vector Machine.
ICNC (1)
Changha Hwang, JooYong Shim
2005 J jnl
Analyzing the Nonlinear Time Series of Turbulent Flows with Kernel Interval Regression Machine.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Changha Hwang, Dug Hun Hong
2005 — conf
Doubly Regularized Kernel Regression with Heteroscedastic Censored Data.
ICNC (1)
JooYong Shim, Changha Hwang
2005 — conf
Exon Structure Analysis via PCA and ICA of Short-Time Fourier Transform.
ICNC (2)
Changha Hwang, David K. Y. Chiu, Insuk Sohn
2005 — conf
Interval Regression Analysis Using Support Vector Machine and Quantile Regression.
FSKD (1)
Changha Hwang, Dug Hun Hong, Eunyoung Na, Hyejung Park, JooYong Shim
2005 J jnl
Interval regression analysis using quadratic loss support vector machine.
IEEE Trans. Fuzzy Syst.
Dug Hun Hong, Changha Hwang
2004 J jnl
Extended fuzzy regression models using regularization method.
Inf. Sci.
Dug Hun Hong, Changha Hwang
2004 J jnl
Ridge Regression Procedures For Fuzzy Models Using Triangular Fuzzy Numbers.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Dug Hun Hong, Changha Hwang
2004 J jnl
Ridge estimation for regression models with crisp inputs and Gaussian fuzzy output.
Fuzzy Sets Syst.
Dug Hun Hong, Changha Hwang, Chulhwan Ahn
2004 J jnl
Usefulness of artificial neural networks for early warning system of economic crisis.
Expert Syst. Appl.
Tae Yoon Kim, Kyong Joo Oh, Insuk Sohn, Changha Hwang
2003 C conf
Incremental Feature Extraction Based on Empirical Kernel Map.
ISMIS
Byung-Joo Kim, JooYong Shim, Changha Hwang, Il Kon Kim, Joon Hyun Song
2003 J jnl
Support vector fuzzy regression machines.
Fuzzy Sets Syst.
Dug Hun Hong, Changha Hwang
2002 — conf
Extended Fuzzy Regression Models.
JCIS
Dug Hun Hong, Changha Hwang
1997 J jnl
A T-sum bound of LR-fuzzy numbers.
Fuzzy Sets Syst.
Dug Hun Hong, Changha Hwang