Yeboon Yun

According to our database, Yeboon Yun authored at least 28 papers between 2001 and 2022.

Collaborative distances:

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

2022

Determination of reinforcement degrees in constructing large-scale structures by using multiclass support vector machines.

Keiji Tatsumi, Shunsuke Tsujioka, Ryota Masui, Yoshifumi Kusunoki, Yeboon Yun

Knowl. Based Syst., 2022

2021

Multiclass Support Vector Machines for Determination of Reinforcement Degree in Constructing Large-scale Structures Based on Data Characteristics.

Keiji Tatsumi, Ryota Masui, Shunsuke Tsujioka, Yoshifumi Kusunoki, Yeboon Yun

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Application of Machine Learning to the Prediction of WBGT.

Chang Lu, Yeboon Yun, Min Yoon

Proceedings of the 60th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2021

2018

Multi-Objective Model Predictive Control.

Yeboon Yun, Hirotaka Nakayama, Min Yoon

Proceedings of the 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), 2018

2016

Generation of Pareto optimal solutions using generalized DEA and PSO.

Yeboon Yun, Hirotaka Nakayama, Min Yoon

J. Glob. Optim., 2016

2013

Utilizing expected improvement and generalized data envelopment analysis in multi-objective genetic algorithms.

Yeboon Yun, Hirotaka Nakayama

J. Glob. Optim., 2013

2012

Parameter tuning of large scale support vector machines using ensemble learning with applications to imbalanced data sets.

Hirotaka Nakayama, Yeboon Yun, Yuki Uno

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Evaluation of sewerage systems using data envelopment analysis.

Yeboon Yun, Kohei Furukawa, Takeshi Iida, Hirotaka Nakayama

Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

2011

Evolutionary multi-objective optimization using expected improvement and generalized DEA.

Yeboon Yun, Hirotaka Nakayama, Min Yoon

Proceedings of the IEEE International Conference on Systems, 2011

2010

Modified Support Vector Regression in outlier detection.

Junya Nishiguchi, Chosei Kaseda, Hirotaka Nakayama, Masao Arakawa, Yeboon Yun

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

Sequential Approximate Multiobjective Optimization Using Computational Intelligence.

Min Yoon, Yeboon Yun, Hirotaka Nakayama

Vector Optimization, Springer, ISBN: 978-3-540-88910-6, 2009

2008

Multi-objective Model Predictive Control.

Hirotaka Nakayama, Yeboon Yun, Masakazu Shirakawa

Proceedings of the Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems, 2008

Multi-objective Model Predictive Optimization using Computational Intelligence.

Hirotaka Nakayama, Yeboon Yun

Proceedings of the Artificial Intelligence in Theory and Practice II, 2008

Practical Approach to Outlier Detection Using Support Vector Regression.

Junya Nishiguchi, Chosei Kaseda, Hirotaka Nakayama, Masao Arakawa, Yeboon Yun

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

2007

Sequential Approximation Method in Multi-objective Optimization Using Aspiration Level Approach.

Yeboon Yun, Hirotaka Nakayama, Min Yoon

Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007

Combining Aspiration Level Methods in Multi-objective Programming and Sequential Approximate Optimization using Computational Intelligence.

Hirotaka Nakayama, Yeboon Yun

Proceedings of the IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, 2007

2006

Generating Support Vector Machines Using Multi-Objective Optimization and Goal Programming.

Hirotaka Nakayama, Yeboon Yun

Proceedings of the Multi-Objective Machine Learning, 2006

Support Vector Regression Based on Goal Programming and Multi-objective Programming.

Hirotaka Nakayama, Yeboon Yun

Proceedings of the International Joint Conference on Neural Networks, 2006

2005

MOP/GP models for machine learning.

Hirotaka Nakayama, Yeboon Yun, Takeshi Asada, Min Yoon

Eur. J. Oper. Res., 2005

Genetic Algorithm for Multi-objective Optimization Using GDEA.

Yeboon Yun, Min Yoon, Hirotaka Nakayama

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

2004

Total Margin Algorithms in Support Vector Machines.

Min Yoon, Yeboon Yun, Hirotaka Nakayama

IEICE Trans. Inf. Syst., 2004

A generalized model for data envelopment analysis.

Yeboon Yun, Hirotaka Nakayama, Tetsuzo Tanino

Eur. J. Oper. Res., 2004

Multiple criteria decision making with generalized DEA and an aspiration level method.

Yeboon Yun, Hirotaka Nakayama, Masao Arakawa

Eur. J. Oper. Res., 2004

Pattern classification by goal programming and support vector machines.

Takeshi Asada, Yeboon Yun, Hirotaka Nakayama, Tetsuzo Tanino

Comput. Manag. Sci., 2004

Prediction of Business Failure by Total Margin Support Vector Machines.

Yeboon Yun, Min Yoon, Hirotaka Nakayama, Wataru Shiraki

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

Fitness evaluation using generalized data envelopment analysis in MOGA.

Yeboon Yun, Masao Arakawa, Hirotaka Nakayama

Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003

Goal Programming Approaches to Support Vector Machines.

Hirotaka Nakayama, Yeboon Yun, Takeshi Asada, Min Yoon

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

2001

Generation of efficient frontiers in multi-objective optimization problems by generalized data envelopment analysis.

Yeboon Yun, Hirotaka Nakayama, Tetsuzo Tanino, Masao Arakawa

Eur. J. Oper. Res., 2001