Methodology for Group Decision Support with an Application to Assessment of Residential Environment. - Hirotaka Nakayama; Tetsuzo Tanino; Keinosuke Matsumoto; Hirofumi Matsuo; Koichi Inoue; Yoshikazu Sawaragi (IEEE Trans. Syst. Man Cybern., 1979)

Additional learning and forgetting by potential method for pattern classification. - Hirotaka Nakayama; Masahiko Yoshida (ICNN, 1997)

Facial Expression Synthesis by Caricature. - Koji Miyazaki; Hirotaka Nakayama (ICONIP, 1998)

Pattern Classification by Linear Goal Programming and its Extensions. - Hirotaka Nakayama; Naoko Kagaku (J. Glob. Optim., 1998)

Active Forgetting in Machine Learning and its Application to Financial Problems. - Hirotaka Nakayama; Kengo Yoshii (IJCNN (5), 2000)

A Computational Intelligence Approach to Optimization with Unknown Objective Functions. - Hirotaka Nakayama; Masao Arakawa; Rie Sasaki (ICANN, 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)

Using support vector machines in optimization for black-box objective functions. - Hirotaka Nakayama; Masao Arakawa; Koji Washino (IJCNN, 2003)

A role of total margin in support vector machines. - Min Yoon; Yeboon Yun; Hirotaka Nakayama (IJCNN, 2003)

Incremental Learning and Forgetting in RBF Networks and SVMs with Applications to Financial Problems. - Hirotaka Nakayama; Atsushi Hattori (KES, 2003)

Goal Programming Approaches to Support Vector Machines. - Hirotaka Nakayama; Yeboon Yun; Takeshi Asada; Min Yoon (KES, 2003)

Fitness evaluation using generalized data envelopment analysis in MOGA. - Yeboon Yun; Masao Arakawa; Hirotaka Nakayama (IEEE Congress on Evolutionary Computation, 2004)

Using support vector machines in multi-objective optimization. - Yeboon Yun; Hirotaka Nakayama; Masao Arakawa (IJCNN, 2004)

Prediction of Business Failure by Total Margin Support Vector Machines. - Yeboon Yun; Min Yoon; Hirotaka Nakayama; Wataru Shiraki (KES, 2004)

Pattern classification by goal programming and support vector machines. - Takeshi Asada; Yeboon Yun; Hirotaka Nakayama; Tetsuzo Tanino (Comput. Manag. Sci., 2004)

Multiple criteria decision making with generalized DEA and an aspiration level method. - Yeboon Yun; Hirotaka Nakayama; Masao Arakawa (Eur. J. Oper. Res., 2004)

A generalized model for data envelopment analysis. - Yeboon Yun; Hirotaka Nakayama; Tetsuzo Tanino (Eur. J. Oper. Res., 2004)

Total Margin Algorithms in Support Vector Machines. - Min Yoon; Yeboon Yun; Hirotaka Nakayama (IEICE Trans. Inf. Syst., 2004)

Multi-objective Optimization and its Engineering Applications. - Hirotaka Nakayama (Practical Approaches to Multi-Objective Optimization, 2005)

Genetic Algorithm for Multi-objective Optimization Using GDEA. - Yeboon Yun; Min Yoon; Hirotaka Nakayama (ICNC (3), 2005)

Shinayaka-Systems Design: A Multi-objective Plant-layout Planning for Power Generating Plants. - Kensuke Kawai; Shigeru Matsumoto; Mitsunobu Nakajo; Hirotaka Nakayama; Masao Arakawa (WSTST, 2005)

MOP/GP models for machine learning. - Hirotaka Nakayama; Yeboon Yun; Takeshi Asada; Min Yoon (Eur. J. Oper. Res., 2005)

Support Vector Regression Based on Goal Programming and Multi-objective Programming. - Hirotaka Nakayama; Yeboon Yun (IJCNN, 2006)

Approximate Optimization Using Computaional Intelligence and its Application to Reinforcement of Cable-stayed Bridges. - Hirotaka Nakayama; Koichi Inoue; Yukihiro Yoshimori (Integrated Intelligent Systems for Engineering Design, 2006)

Generating Support Vector Machines Using Multi-Objective Optimization and Goal Programming. - Hirotaka Nakayama; Yeboon Yun (Multi-Objective Machine Learning, 2006)

Combining Aspiration Level Methods in Multi-objective Programming and Sequential Approximate Optimization using Computational Intelligence. - Hirotaka Nakayama; Yeboon Yun (MCDM, 2007)

Aspiration Level Methods in Interactive Multi-objective Programming and Their Engineering Applications (Abstract of Invited Talk). - Hirotaka Nakayama (EMO, 2007)

Sequential Approximation Method in Multi-objective Optimization Using Aspiration Level Approach. - Yeboon Yun; Hirotaka Nakayama; Min Yoon (EMO, 2007)

Meta-Modeling in Multiobjective Optimization. - Joshua D. Knowles; Hirotaka Nakayama (Multiobjective Optimization, 2008)

Real-World Applications of Multiobjective Optimization. - Theodor J. Stewart; Oliver Bandte; Heinrich Braun; Nirupam Chakraborti; Matthias Ehrgott; Mathias Göbelt; Yaochu Jin; Hirotaka Nakayama; Silvia Poles; Danilo Di Stefano (Multiobjective Optimization, 2008)

Practical Approach to Outlier Detection Using Support Vector Regression. - Junya Nishiguchi; Chosei Kaseda; Hirotaka Nakayama; Masao Arakawa; Yeboon Yun (ICONIP (1), 2008)

Multi-objective Model Predictive Optimization using Computational Intelligence. - Hirotaka Nakayama; Yeboon Yun (IFIP AI, 2008)

Modeling of the Students Scenario on a Learning Course. - Yuji Shinoda; Kenji Yoshida; Hirotaka Nakayama (KES (1), 2008)

A Prototype for Human-Like e-Learning System. - Kenji Yoshida; Yuji Shinoda; Koji Miyazaki; Kayoko Nakagami; Hirotaka Nakayama (KES (3), 2008)

Multi-objective Model Predictive Control. - Hirotaka Nakayama; Yeboon Yun; Masakazu Shirakawa (MCDM, 2008)

Entire topography of lunar surface. - Hirotaka Nakayama (SIGGRAPH ASIA Animations, 2009)

Speed-up of hologram generation using ClearSpeed Accelerator board. - Noriyuki Tanabe; Yasuyuki Ichihashi; Hirotaka Nakayama; Nobuyuki Masuda; Tomoyoshi Ito (Comput. Phys. Commun., 2009)

Multi-objective Optimization: Lagrange Duality. - Hirotaka Nakayama (Encyclopedia of Optimization, 2009)

Sequential Approximate Multiobjective Optimization Using Computational Intelligence. - Min Yoon; Yeboon Yun; Hirotaka Nakayama (Springer, 2009)

Modified Support Vector Regression in outlier detection. - Junya Nishiguchi; Chosei Kaseda; Hirotaka Nakayama; Masao Arakawa; Yeboon Yun (IJCNN, 2010)

Real-Time Reconstruction System Using a High-Performance Computer for Electroholography. - Yasuyuki Ichihashi; Hirotaka Nakayama; Shin Awazu; Tomoyoshi Shimobaba; Nobuyuki Masuda; Tomoyoshi Ito (Computer and Information Science, 2010)

Evolutionary multi-objective optimization using expected improvement and generalized DEA. - Yeboon Yun; Hirotaka Nakayama; Min Yoon (SMC, 2011)

Evaluation of sewerage systems using data envelopment analysis. - Yeboon Yun; Kohei Furukawa; Takeshi Iida; Hirotaka Nakayama (SCIS&ISIS, 2012)

Parameter tuning of large scale support vector machines using ensemble learning with applications to imbalanced data sets. - Hirotaka Nakayama; Yeboon Yun; Yuki Uno (SMC, 2012)

Utilizing expected improvement and generalized data envelopment analysis in multi-objective genetic algorithms. - Yeboon Yun; Hirotaka Nakayama (J. Glob. Optim., 2013)

Development of volumetric display based on multi-bit color LED. - Ryuji Hirayama; Hirotaka Nakayama; Takashi Kakue; Tomoyoshi Shimobaba; Tomoyoshi Ito; Atsushi Shiraki (APCCAS, 2014)

Manzai Robots: Entertainment Robots Based on Auto-Created Manzai Scripts from Web News Articles. - Tomohiro Umetani; Ryo Mashimo; Akiyo Nadamoto; Tatsuya Kitamura; Hirotaka Nakayama (J. Robotics Mechatronics, 2014)

3-D crystal exhibiting multiple 2-D images with directivity. - Ryuji Hirayama; Hirotaka Nakayama; Atsushi Shiraki; Takashi Kakue; Tomoyoshi Shimobaba; Tomoyoshi Ito (SIGGRAPH Asia Posters, 2015)

3-D crystal with a curved surface projecting multiple 2-D images. - Ryuji Hirayama; Atsushi Shiraki; Hirotaka Nakayama; Takashi Kakue; Tomoyoshi Shimobaba; Tomoyoshi Ito (SIGGRAPH Asia Posters, 2016)

Generation of Pareto optimal solutions using generalized DEA and PSO. - Yeboon Yun; Hirotaka Nakayama; Min Yoon (J. Glob. Optim., 2016)

Perfect model-following system using active disturbance rejection control. - Hirotaka Nakayama; Ryo Tanaka; Yoshihisa Ishida; Naoki Matsumoto (ISIE, 2017)

Controllable color particles in a 3D crystal projecting multiple dynamic full-color images. - Ryuji Hirayama; Hirotaka Nakayama; Atsushi Shiraki; Takashi Kakue; Tomoyoshi Shimobaba; Tomoyoshi Ito (SIGGRAPH Posters, 2017)

Inkjet printing-based volumetric display projecting multiple full-colour 2D patterns. - Ryuji Hirayama; Tomotaka Suzuki; Tomoyoshi Shimobaba; Atsushi Shiraki; Makoto Naruse; Hirotaka Nakayama; Takashi Kakue; Tomoyoshi Ito (CoRR, 2017)

High-Speed 3-D Electroholographic Movie Playback Using a Digital Micromirror Device. - Naoki Takada; Masato Fujiwara; Ooi Chun Wei; Yuki Maeda; Hirotaka Nakayama; Takashi Kakue; Tomoyoshi Shimobaba; Tomoyoshi Ito (IEICE Trans. Electron., 2017)

Multi-Objective Model Predictive Control. - Yeboon Yun; Hirotaka Nakayama; Min Yoon (SCIS&ISIS, 2018)

Phase Type Special-Purpose Computer for Electroholography in Embedded Systems. - Yota Yamamoto; Nobuyuki Masuda; Hirotaka Nakayama; Tomoyoshi Shimobaba; Takashi Kakue; Tomoyoshi Ito (IIAI-AAI, 2019)

A New Algorithm for Displaying Images With High Resolution Using a Directional Volumetric Display With Threads and a Projector. - Tomoya Imamura; Mitsuru Baba; Naoto Hoshikawa; Hirotaka Nakayama; Tomoyoshi Ito; Atsushi Shiraki (IEEE Access, 2022)

A Method for Automatic Generation of 3D Background Models Using Fractal Models and Genetic Algorithms. - Kaito Watanabe; Hirotaka Nakayama; Atsushi Shiraki; Tomoyoshi Ito; Katsumi Hirata; Naoto Hoshikawa (CANDARW, 2023)

Development of a Holographic Directional Volumetric Display. - Renta Noguchi; Tomoya Isayama; Takashi Nishitsuji; Hirotaka Nakayama; Tomoyoshi Shimobaba; Tomoyoshi Ito; Atsushi Shiraki (IEEE Access, 2025)