Seok-Beom Roh

According to our database, Seok-Beom Roh authored at least 40 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

Toward Symbolic Regression based Model Transform for Convolutional Neural Network.

Kisung Seo, Seok-Beom Roh, Soonyong Gwon

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

Dynamically Generated Hierarchical Neural Networks Designed With the Aid of Multiple Support Vector Regressors and PNN Architecture With Probabilistic Selection.

Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu

IEEE Trans. Neural Networks Learn. Syst., 2022

Design of Iterative Fuzzy Radial Basis Function Neural Networks Based on Iterative Weighted Fuzzy C-Means Clustering and Weighted LSE Estimation.

Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz, Zheng Wang, Zunwei Fu, Kisung Seo

IEEE Trans. Fuzzy Syst., 2022

2021

Design of Fuzzy Ensemble Architecture Realized With the Aid of FCM-Based Fuzzy Partition and NN With Weighted LSE Estimation.

Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu

IEEE Trans. Fuzzy Syst., 2021

2020

Lazy Learning for Nonparametric Locally Weighted Regression.

Seok-Beom Roh, Yong-Soo Kim, Tae-Chon Ahn

Int. J. Fuzzy Log. Intell. Syst., 2020

2019

Design of face recognition system based on fuzzy transform and radial basis function neural networks.

Seok-Beom Roh, Sung-Kwun Oh, Jin Hee Yoon, Kisung Seo

Soft Comput., 2019

Prototypes Reduction and Feature Selection based on Fuzzy Boundary Area for Nearest Neighbor Classifiers.

Tae-Chon Ahn, Seok-Beom Roh, Yong-Soo Kim, Jihong Wang

Int. J. Fuzzy Syst., 2019

Design methodology for Radial Basis Function Neural Networks classifier based on locally linear reconstruction and Conditional Fuzzy C-Means clustering.

Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz, Kisung Seo, Zunwei Fu

Int. J. Approx. Reason., 2019

2018

Identification of Black Plastics Based on Fuzzy RBF Neural Networks: Focused on Data Preprocessing Techniques Through Fourier Transform Infrared Radiation.

Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz

IEEE Trans. Ind. Informatics, 2018

2016

Development of autofocusing algorithm based on fuzzy transforms.

Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz, Kisung Seo

Fuzzy Sets Syst., 2016

Design of Radial Basis Function Neural Networks with Principal Component Analysis and Linear Discriminant Analysis for Black Plastic Identification.

Seok-Beom Roh, Sung-Kwun Oh, Eun Kyu Park, Woo Zin Choi

Proceedings of the 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 2016

2014

Design of Radial Basis Function Classifier Based on Polynomial Neural Networks.

Tae-Chon Ahn, Seok-Beom Roh, Zi Long Yin, Yong-Soo Kim

Proceedings of the Soft Computing in Artificial Intelligence, 2014

A design of granular fuzzy classifier.

Seok-Beom Roh, Witold Pedrycz, Tae-Chon Ahn

Expert Syst. Appl., 2014

2012

Fuzzy linear regression based on Polynomial Neural Networks.

Seok-Beom Roh, Tae-Chon Ahn, Witold Pedrycz

Expert Syst. Appl., 2012

2011

Genetically optimized Hybrid Fuzzy Set-based Polynomial Neural Networks.

Sung-Kwun Oh, Witold Pedrycz, Seok-Beom Roh

J. Frankl. Inst., 2011

Fuzzy Learning Vector Quantization based on Fuzzy k-Nearest Neighbor Prototypes.

Seok-Beom Roh, Ji-Won Jeong, Tae-Chon Ahn

Int. J. Fuzzy Log. Intell. Syst., 2011

Design of fuzzy radial basis function-based polynomial neural networks.

Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz

Fuzzy Sets Syst., 2011

2010

The Refinement of Models With the Aid of the Fuzzy k -Nearest Neighbors Approach.

Seok-Beom Roh, Tae-Chon Ahn, Witold Pedrycz

IEEE Trans. Instrum. Meas., 2010

A fuzzy ensemble of parallel polynomial neural networks with information granules formed by fuzzy clustering.

Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz

Knowl. Based Syst., 2010

The development of fuzzy radial basis function neural networks based on the concept of information ambiguity.

Seok-Beom Roh, Su-Chong Joo, Witold Pedrycz, Sung-Kwun Oh

Neurocomputing, 2010

The design methodology of radial basis function neural networks based on fuzzy K-nearest neighbors approach.

Seok-Beom Roh, Tae-Chon Ahn, Witold Pedrycz

Fuzzy Sets Syst., 2010

2009

Hybrid fuzzy set-based polynomial neural networks and their development with the aid of genetic optimization and information granulation.

Sung-Kwun Oh, Witold Pedrycz, Seok-Beom Roh

Appl. Soft Comput., 2009

2007

Genetic Optimization of Fuzzy Polynomial Neural Networks.

Seok-Beom Roh, Witold Pedrycz, Sung-Kwun Oh

IEEE Trans. Ind. Electron., 2007

IG-based genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons.

Sung-Kwun Oh, Seok-Beom Roh, Witold Pedrycz, Tae-Chon Ahn

Neurocomputing, 2007

Fuzzy Combined Polynomial Neural Networks.

Seok-Beom Roh, Tae-Chon Ahn

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

GA-Driven Fuzzy Set-Based Polynomial Neural Networks with Information Granules for Multi-variable Software Process.

Seok-Beom Roh, Sung-Kwun Oh, Tae-Chon Ahn

Proceedings of the Advances in Neural Networks, 2007

2006

Genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons.

Sung-Kwun Oh, Witold Pedrycz, Seok-Beom Roh

Inf. Sci., 2006

Genetically Optimized Fuzzy Set-Based Polynomial Neural Networks Based on Information Granules with Aids of Symbolic Genetic Algorithms.

Tae-Chon Ahn, Kyung-Won Jang, Seok-Beom Roh

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

A New Design Methodology of Fuzzy Set-Based Polynomial Neural Networks with Symbolic Gene Type Genetic Algorithms.

Seok-Beom Roh, Sung-Kwun Oh, Tae-Chon Ahn

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

An Advanced Design Methodology of Fuzzy Set-Based Polynomial Neural Networks with the Aid of Symbolic Gene Type Genetic Algorithms and Information Granulation.

Seok-Beom Roh, Hyung-Soo Hwang, Tae-Chon Ahn

Proceedings of the Neural Information Processing, 13th International Conference, 2006

2005

Genetically Optimized Hybrid Fuzzy Set-based Polynomial Neural Networks with Polynomial and Fuzzy Polynomial Neurons.

Sung-Kwun Oh, Seok-Beom Roh, Keon-Jun Park

Int. J. Fuzzy Log. Intell. Syst., 2005

A New Approach to Genetically Optimized Hybrid Fuzzy Set-Based Polynomial Neural Networks with FSPNs and PNs.

Sung-Kwun Oh, Seok-Beom Roh, Witold Pedrycz

Proceedings of the Modeling Decisions for Artificial Intelligence, 2005

IG-Based Genetically Optimized Fuzzy Polynomial Neural Networks.

Sung-Kwun Oh, Seok-Beom Roh, Witold Pedrycz, Jong-Beom Lee

Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Design of Genetic Fuzzy Set-Based Polynomial Neural Networks with the Aid of Information Granulation.

Sung-Kwun Oh, Seok-Beom Roh, Yong-Kab Kim

Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Parameter Estimation of Fuzzy Controller Using Genetic Optimization and Neurofuzzy Networks.

Sung-Kwun Oh, Seok-Beom Roh, Tae-Chon Ahn

Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

FSPN-Based Genetically Optimized Fuzzy Polynomial Neural Networks.

Sung-Kwun Oh, Seok-Beom Roh, Daehee Park, Yong-Kab Kim

Proceedings of the Computational Science and Its Applications, 2005

The Design of Fuzzy Controller by Means of Evolutionary Computing and Neurofuzzy Networks.

Sung-Kwun Oh, Seok-Beom Roh

Proceedings of the Computational Science, 2005

2004

Parameter estimation of fuzzy controller and its application to inverted pendulum.

Sung-Kwun Oh, Witold Pedrycz, Seok-Beom Roh, Tae-Chon Ahn

Eng. Appl. Artif. Intell., 2004

The Design of Fuzzy Controller by Means of CI Technologies-Based Estimation Technique.

Sung-Kwun Oh, Seok-Beom Roh, Dong-Yoon Lee, Sung-Whan Jang

Proceedings of the Advances in Neural Networks, 2004

The Design Methodology of Fuzzy Controller Based on Information Granulation (IG)-Based Optimization Approach.

Sung-Kwun Oh, Seok-Beom Roh, Dong-Yoon Lee

Proceedings of the Computational Science, 2004