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Author

Changha Hwang

Observed names: C. Hwang, CHANGHA HWANG, Chang-Ha Hwang, ChanghaHwang, Hwang Chang Ha, 황창하
Institution: Dankook University
ORCID: 0000-0003-1262-5051
Observed ORCID: 0000-0003-1262-5051
OpenAlex ID: A5041575206
Support vector fuzzy regression machines
2003 · Dug Hun Hong, Changha Hwang · Fuzzy Sets and Systems · 143
Application of a multiple linear regression and an artificial neural network model for the heating performance analysis and hourly prediction of a large-scale ground source heat pump system
2018 · Sang Ku Park, Hyeun Jun Moon, et al. · Energy and Buildings · 109
Prediction of drug–target binding affinity using similarity-based convolutional neural network
2021 · Jooyong Shim, Zhen-Yu Hong, et al. · Scientific Reports · 97
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Usefulness of artificial neural networks for early warning system of economic crisis
2004 · Tae Yoon Kim, Kyong Joo Oh, et al. · Expert Systems with Applications · 92
Support vector interval regression machine for crisp input and output data
2005 · Changha Hwang, Dug Hun Hong, et al. · Fuzzy Sets and Systems · 87
Predicting Successes and Failures of Clinical Trials With Outer Product–Based Convolutional Neural Network
2021 · Sangwoo Seo, Youngmin Kim, et al. · Frontiers in Pharmacology · 48
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Extended fuzzy regression models using regularization method
2003 · Dug Hun Hong, Changha Hwang · Information Sciences · 46
Ridge estimation for regression models with crisp inputs and Gaussian fuzzy output
2003 · Dug Hun Hong, Changha Hwang, et al. · Fuzzy Sets and Systems · 40
Detection of chromosome structural variation by targeted next-generation sequencing and a deep learning application
2019 · Hosub Park, Sung-Min Chun, et al. · Scientific Reports · 37
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Estimating value at risk with semiparametric support vector quantile regression
2011 · Jooyong Shim, Yongtae Kim, et al. · Computational Statistics · 34
Korean Economic Condition Indicator Using a Neural Network Trained on the 1997 Crisis
2021 · Tae Yoon Kim, Changha Hwang, et al. · Journal of Data Science · 31
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A Simple Quantile Regression via Support Vector Machine
2005 · Changha Hwang, Jooyong Shim · Lecture notes in computer science · 31
Support vector censored quantile regression under random censoring
2008 · Jooyong Shim, Changha Hwang · Computational Statistics & Data Analysis · 30
Non-crossing quantile regression via doubly penalized kernel machine
2008 · Jooyong Shim, Changha Hwang, et al. · Computational Statistics · 24
Machine-Learning-Based Android Malware Family Classification Using Built-In and Custom Permissions
2021 · Minki Kim, Daehan Kim, et al. · Applied Sciences · 23
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A T-sum bound of LR-fuzzy numbers
1997 · Dug Hun Hong, Changha Hwang · Fuzzy Sets and Systems · 21
Selecting marker genes for cancer classification using supervised weighted kernel clustering and the support vector machine
2008 · Jooyong Shim, Insuk Sohn, et al. · Computational Statistics & Data Analysis · 20
New normalization methods using support vector machine quantile regression approach in microarray analysis
2008 · Insuk Sohn, Sujong Kim, et al. · Computational Statistics & Data Analysis · 18
Kernel-based geographically and temporally weighted autoregressive model for house price estimation
2018 · Jooyong Shim, Changha Hwang · PLoS ONE · 17
Prediction Intervals for Support Vector Machine Regression
2002 · Kyungha Seok, Changha Hwang, et al. · Communication in Statistics- Theory and Methods · 15
Fuzzy Nonlinear Regression Model Based on LS-SVM in Feature Space
2006 · Dug Hun Hong, Changha Hwang · Lecture notes in computer science · 14
Ridge Regression Procedures for Fuzzy Models Using Triangular Fuzzy Numbers
2004 · DUG HUN HONG, CHANGHA HWANG · International Journal of Uncertainty Fuzziness and Knowledge-Based Systems · 14
Semiparametric mixed-effect least squares support vector machine for analyzing pharmacokinetic and pharmacodynamic data
2011 · Kyung Ha Seok, Jooyong Shim, et al. · Neurocomputing · 12
Support vector quantile regression using asymmetric e-insensitive loss function
2010 · Kyung Ha Seok, Daehyeon Cho, et al. · International Conference on Education Technology and Computer · 12
Semiparametric spatial effects kernel minimum squared error model for predicting housing sales prices
2013 · Jooyong Shim, Okmyung Bin, et al. · Neurocomputing · 11
Works count: 119
Citation count: 1,241
H-index: 18
I10-index: 28
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