Yeboon Yun

34 papers B 12C 1Journal 10Unranked 9
YearRankTypeTitle / Venue / Authors
2025 B conf
Reinforcement Learning-based Penalty Function Approach for Constrained Optimization.
SMC
Tsubasa Yoshida, Atsunari Yagi, Takaya Yozawa, Yeboon Yun, Min Yoon
2024 — conf
Graph Convolutional Networks Approach for Alzheimer's Disease Stage Classification Using Multimodal Data.
SCIS/ISIS
Hyujeong Jeong, Do-Young Kang, Yeboon Yun, Jum-Ran Kang, Min Yoon, Gyu-Bin Lee
2024 B conf
Multiclass piecewise-linear SVMs based on division of data space for determining the reinforcement degrees of large-scale structures.
IJCNN
Keiji Tatsumi, Satoshi Maruyama, Yeboon Yun
2024 J jnl
Multiclass piecewise-linear SVMs with the restricted feasible region for the reinforcement degrees in constructing large-scale structures.
Knowl. Based Syst.
Keiji Tatsumi, Ryota Masui, Haruhisa Miyahara, Yeboon Yun
2022 J jnl
Determination of reinforcement degrees in constructing large-scale structures by using multiclass support vector machines.
Knowl. Based Syst.
Keiji Tatsumi, Shunsuke Tsujioka, Ryota Masui, Yoshifumi Kusunoki, Yeboon Yun
2021 — conf
Application of Machine Learning to the Prediction of WBGT.
SICE
Chang Lu, Yeboon Yun, Min Yoon
2021 B conf
Multiclass Support Vector Machines for Determination of Reinforcement Degree in Constructing Large-scale Structures Based on Data Characteristics.
SMC
Keiji Tatsumi, Ryota Masui, Shunsuke Tsujioka, Yoshifumi Kusunoki, Yeboon Yun
2018 — conf
Multi-Objective Model Predictive Control.
SCIS&ISIS
Yeboon Yun, Hirotaka Nakayama, Min Yoon
2016 J jnl
Generation of Pareto optimal solutions using generalized DEA and PSO.
J. Glob. Optim.
Yeboon Yun, Hirotaka Nakayama, Min Yoon
2013 J jnl
Utilizing expected improvement and generalized data envelopment analysis in multi-objective genetic algorithms.
J. Glob. Optim.
Yeboon Yun, Hirotaka Nakayama
2012 — conf
Evaluation of sewerage systems using data envelopment analysis.
SCIS&ISIS
Yeboon Yun, Kohei Furukawa, Takeshi Iida, Hirotaka Nakayama
2012 B conf
Parameter tuning of large scale support vector machines using ensemble learning with applications to imbalanced data sets.
SMC
Hirotaka Nakayama, Yeboon Yun, Yuki Uno
2011 B conf
Evolutionary multi-objective optimization using expected improvement and generalized DEA.
SMC
Yeboon Yun, Hirotaka Nakayama, Min Yoon
2010 B conf
Modified Support Vector Regression in outlier detection.
IJCNN
Junya Nishiguchi, Chosei Kaseda, Hirotaka Nakayama, Masao Arakawa, Yeboon Yun
2009 — book
Sequential Approximate Multiobjective Optimization Using Computational Intelligence.
Min Yoon, Yeboon Yun, Hirotaka Nakayama
2008 — conf
Multi-objective Model Predictive Control.
MCDM
Hirotaka Nakayama, Yeboon Yun, Masakazu Shirakawa
2008 — conf
Multi-objective Model Predictive Optimization using Computational Intelligence.
IFIP AI
Hirotaka Nakayama, Yeboon Yun
2008 — conf
Practical Approach to Outlier Detection Using Support Vector Regression.
ICONIP (1)
Junya Nishiguchi, Chosei Kaseda, Hirotaka Nakayama, Masao Arakawa, Yeboon Yun
2007 — conf
Combining Aspiration Level Methods in Multi-objective Programming and Sequential Approximate Optimization using Computational Intelligence.
MCDM
Hirotaka Nakayama, Yeboon Yun
2007 C conf
Sequential Approximation Method in Multi-objective Optimization Using Aspiration Level Approach.
EMO
Yeboon Yun, Hirotaka Nakayama, Min Yoon
2006 — ch.
Generating Support Vector Machines Using Multi-Objective Optimization and Goal Programming.
Multi-Objective Machine Learning
Hirotaka Nakayama, Yeboon Yun
2006 B conf
Support Vector Regression Based on Goal Programming and Multi-objective Programming.
IJCNN
Hirotaka Nakayama, Yeboon Yun
2005 — conf
Genetic Algorithm for Multi-objective Optimization Using GDEA.
ICNC (3)
Yeboon Yun, Min Yoon, Hirotaka Nakayama
2005 J jnl
MOP/GP models for machine learning.
Eur. J. Oper. Res.
Hirotaka Nakayama, Yeboon Yun, Takeshi Asada, Min Yoon
2004 J jnl
A generalized model for data envelopment analysis.
Eur. J. Oper. Res.
Yeboon Yun, Hirotaka Nakayama, Tetsuzo Tanino
2004 B conf
Fitness evaluation using generalized data envelopment analysis in MOGA.
IEEE Congress on Evolutionary Computation
Yeboon Yun, Masao Arakawa, Hirotaka Nakayama
2004 J jnl
Multiple criteria decision making with generalized DEA and an aspiration level method.
Eur. J. Oper. Res.
Yeboon Yun, Hirotaka Nakayama, Masao Arakawa
2004 J jnl
Pattern classification by goal programming and support vector machines.
Comput. Manag. Sci.
Takeshi Asada, Yeboon Yun, Hirotaka Nakayama, Tetsuzo Tanino
2004 B conf
Prediction of Business Failure by Total Margin Support Vector Machines.
KES
Yeboon Yun, Min Yoon, Hirotaka Nakayama, Wataru Shiraki
2004 J jnl
Total Margin Algorithms in Support Vector Machines.
IEICE Trans. Inf. Syst.
Min Yoon, Yeboon Yun, Hirotaka Nakayama
2004 B conf
Using support vector machines in multi-objective optimization.
IJCNN
Yeboon Yun, Hirotaka Nakayama, Masao Arakawa
2003 B conf
A role of total margin in support vector machines.
IJCNN
Min Yoon, Yeboon Yun, Hirotaka Nakayama
2003 B conf
Goal Programming Approaches to Support Vector Machines.
KES
Hirotaka Nakayama, Yeboon Yun, Takeshi Asada, Min Yoon
2001 J jnl
Generation of efficient frontiers in multi-objective optimization problems by generalized data envelopment analysis.
Eur. J. Oper. Res.
Yeboon Yun, Hirotaka Nakayama, Tetsuzo Tanino, Masao Arakawa