Changha Hwang

According to our database, Changha Hwang authored at least 36 papers between 1997 and 2023.

Collaborative distances:

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

2023

Subject-specific Deep Neural Networks for Count Data with High-cardinality Categorical Features.

Hangbin Lee, Il Do Ha, Changha Hwang, Youngjo Lee

CoRR, 2023

2018

AndroClass: An Effective Method to Classify Android Applications by Applying Deep Neural Networks to Comprehensive Features.

Masoud Reyhani Hamedani, Dongjin Shin, Myeonggeon Lee, Seong-je Cho, Changha Hwang

Wirel. Commun. Mob. Comput., 2018

2017

Kernel-based orthogonal quantile regression model.

Jooyong Shim, Changha Hwang

Model. Assist. Stat. Appl., 2017

Kernel-based random effect time-varying coefficient model for longitudinal data.

Jooyong Shim, Insuk Sohn, Changha Hwang

Neurocomputing, 2017

2016

Support vector quantile regression with varying coefficients.

Jooyong Shim, Changha Hwang, Kyung Ha Seok

Comput. Stat., 2016

2015

Varying coefficient modeling via least squares support vector regression.

Jooyong Shim, Changha Hwang

Neurocomputing, 2015

2014

Estimating small area mean with mixed and fixed effects support vector median regressions.

Jooyong Shim, Changha Hwang

Neurocomputing, 2014

Semiparametric spatial effects kernel minimum squared error model for predicting housing sales prices.

Jooyong Shim, Okmyung Bin, Changha Hwang

Neurocomputing, 2014

Composite support vector quantile regression estimation.

Jooyong Shim, Changha Hwang, Kyung Ha Seok

Comput. Stat., 2014

2012

Estimating value at risk with semiparametric support vector quantile regression.

Jooyong Shim, Yongtae Kim, Jangtaek Lee, Changha Hwang

Comput. Stat., 2012

2011

Semiparametric mixed-effect least squares support vector machine for analyzing pharmacokinetic and pharmacodynamic data.

Kyung Ha Seok, Jooyong Shim, Daehyeon Cho, Gyu-Jeong Noh, Changha Hwang

Neurocomputing, 2011

2009

Non-crossing quantile regression via doubly penalized kernel machine.

Jooyong Shim, Changha Hwang, Kyung Ha Seok

Comput. Stat., 2009

Informative transcription factor selection using support vector machine-based generalized approximate cross validation criteria.

Insuk Sohn, Jooyong Shim, Changha Hwang, Sujong Kim, Jae Won Lee

Comput. Stat. Data Anal., 2009

Selecting marker genes for cancer classification using supervised weighted kernel clustering and the support vector machine.

Jooyong Shim, Insuk Sohn, Sujong Kim, Jae Won Lee, Paul E. Green, Changha Hwang

Comput. Stat. Data Anal., 2009

Support vector censored quantile regression under random censoring.

Jooyong Shim, Changha Hwang

Comput. Stat. Data Anal., 2009

2008

New normalization methods using support vector machine quantile regression approach in microarray analysis.

Insuk Sohn, Sujong Kim, Changha Hwang, Jae Won Lee

Comput. Stat. Data Anal., 2008

2007

T-sum of sigmoid-shaped fuzzy intervals.

Dug Hun Hong, Changha Hwang, Kyung Tae Kim

Inf. Sci., 2007

2006

Support vector interval regression machine for crisp input and output data.

Changha Hwang, Dug Hun Hong, Kyung Ha Seok

Fuzzy Sets Syst., 2006

Robust LS-SVM Regression Using Fuzzy C-Means Clustering.

Jooyong Shim, Changha Hwang, Sungkyun Nau

Proceedings of the Advances in Natural Computation, Second International Conference, 2006

Fuzzy Nonlinear Regression Model Based on LS-SVM in Feature Space.

Dug Hun Hong, Changha Hwang

Proceedings of the Fuzzy Systems and Knowledge Discovery, Third International Conference, 2006

Locally Weighted LS-SVM for Fuzzy Nonlinear Regression with Fuzzy Input-Output.

Dug Hun Hong, Changha Hwang, Jooyong Shim, Kyung Ha Seok

Proceedings of the Computational Intelligence and Security, International Conference, 2006

2005

Interval regression analysis using quadratic loss support vector machine.

Dug Hun Hong, Changha Hwang

IEEE Trans. Fuzzy Syst., 2005

Analyzing the Nonlinear Time Series of Turbulent Flows with Kernel Interval Regression Machine.

Changha Hwang, Dug Hun Hong

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2005

Doubly Regularized Kernel Regression with Heteroscedastic Censored Data.

Jooyong Shim, Changha Hwang

Proceedings of the Advances in Natural Computation, First International Conference, 2005

A Prediction Interval Estimation Method for KMSE.

Changha Hwang, Kyung Ha Seok, Daehyeon Cho

Proceedings of the Advances in Natural Computation, First International Conference, 2005

A Simple Quantile Regression via Support Vector Machine.

Changha Hwang, Jooyong Shim

Proceedings of the Advances in Natural Computation, First International Conference, 2005

Exon Structure Analysis via PCA and ICA of Short-Time Fourier Transform.

Changha Hwang, David K. Y. Chiu, Insuk Sohn

Proceedings of the Advances in Natural Computation, First International Conference, 2005

Interval Regression Analysis Using Support Vector Machine and Quantile Regression.

Changha Hwang, Dug Hun Hong, Eunyoung Na, Hyejung Park, Jooyong Shim

Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

2004

Extended fuzzy regression models using regularization method.

Dug Hun Hong, Changha Hwang

Inf. Sci., 2004

Ridge Regression Procedures For Fuzzy Models Using Triangular Fuzzy Numbers.

Dug Hun Hong, Changha Hwang

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2004

Ridge estimation for regression models with crisp inputs and Gaussian fuzzy output.

Dug Hun Hong, Changha Hwang, Chulhwan Ahn

Fuzzy Sets Syst., 2004

Usefulness of artificial neural networks for early warning system of economic crisis.

Tae Yoon Kim, Kyong Joo Oh, Insuk Sohn, Changha Hwang

Expert Syst. Appl., 2004

2003

Support vector fuzzy regression machines.

Dug Hun Hong, Changha Hwang

Fuzzy Sets Syst., 2003

Incremental Feature Extraction Based on Empirical Kernel Map.

Byung-Joo Kim, Jooyong Shim, Changha Hwang, Il Kon Kim, Joon Hyun Song

Proceedings of the Foundations of Intelligent Systems, 14th International Symposium, 2003

2002

Extended Fuzzy Regression Models.

Dug Hun Hong, Changha Hwang

Proceedings of the 6th Joint Conference on Information Science, 2002

1997

A T-sum bound of LR-fuzzy numbers.

Dug Hun Hong, Changha Hwang

Fuzzy Sets Syst., 1997