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Hirotaka Nakayama
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2020 – today
- 2023
- [c34]Kaito Watanabe, Hirotaka Nakayama, Atsushi Shiraki, Tomoyoshi Ito, Katsumi Hirata, Naoto Hoshikawa:
A Method for Automatic Generation of 3D Background Models Using Fractal Models and Genetic Algorithms. CANDARW 2023: 135-141 - 2022
- [j14]Tomoya Imamura
, Mitsuru Baba, Naoto Hoshikawa
, Hirotaka Nakayama, Tomoyoshi Ito
, Atsushi Shiraki
:
A New Algorithm for Displaying Images With High Resolution Using a Directional Volumetric Display With Threads and a Projector. IEEE Access 10: 15288-15297 (2022)
2010 – 2019
- 2019
- [c33]Yota Yamamoto
, Nobuyuki Masuda, Hirotaka Nakayama, Tomoyoshi Shimobaba, Takashi Kakue
, Tomoyoshi Ito:
Phase Type Special-Purpose Computer for Electroholography in Embedded Systems. IIAI-AAI 2019: 930-935 - 2018
- [c32]Yeboon Yun, Hirotaka Nakayama, Min Yoon:
Multi-Objective Model Predictive Control. SCIS&ISIS 2018: 304-308 - 2017
- [j13]Naoki Takada, Masato Fujiwara, Ooi Chun Wei, Yuki Maeda, Hirotaka Nakayama, Takashi Kakue
, Tomoyoshi Shimobaba, Tomoyoshi Ito:
High-Speed 3-D Electroholographic Movie Playback Using a Digital Micromirror Device. IEICE Trans. Electron. 100-C(11): 978-983 (2017) - [c31]Hirotaka Nakayama, Ryo Tanaka, Yoshihisa Ishida, Naoki Matsumoto:
Perfect model-following system using active disturbance rejection control. ISIE 2017: 533-538 - [c30]Ryuji Hirayama, Hirotaka Nakayama, Atsushi Shiraki, Takashi Kakue
, Tomoyoshi Shimobaba, Tomoyoshi Ito:
Controllable color particles in a 3D crystal projecting multiple dynamic full-color images. SIGGRAPH Posters 2017: 73:1-73:2 - [i2]Ryuji Hirayama, Tomotaka Suzuki, Tomoyoshi Shimobaba, Atsushi Shiraki, Makoto Naruse, Hirotaka Nakayama, Takashi Kakue, Tomoyoshi Ito:
Inkjet printing-based volumetric display projecting multiple full-colour 2D patterns. CoRR abs/1702.00182 (2017) - 2016
- [j12]Yeboon Yun, Hirotaka Nakayama, Min Yoon:
Generation of Pareto optimal solutions using generalized DEA and PSO. J. Glob. Optim. 64(1): 49-61 (2016) - [c29]Ryuji Hirayama, Atsushi Shiraki, Hirotaka Nakayama, Takashi Kakue, Tomoyoshi Shimobaba, Tomoyoshi Ito:
3-D crystal with a curved surface projecting multiple 2-D images. SIGGRAPH Asia Posters 2016: 41 - 2015
- [c28]Ryuji Hirayama, Hirotaka Nakayama, Atsushi Shiraki, Takashi Kakue
, Tomoyoshi Shimobaba, Tomoyoshi Ito:
3-D crystal exhibiting multiple 2-D images with directivity. SIGGRAPH Asia Posters 2015: 1:1 - 2014
- [j11]Tomohiro Umetani
, Ryo Mashimo, Akiyo Nadamoto, Tatsuya Kitamura, Hirotaka Nakayama:
Manzai Robots: Entertainment Robots Based on Auto-Created Manzai Scripts from Web News Articles. J. Robotics Mechatronics 26(5): 662-664 (2014) - [c27]Ryuji Hirayama, Hirotaka Nakayama, Takashi Kakue
, Tomoyoshi Shimobaba, Tomoyoshi Ito, Atsushi Shiraki:
Development of volumetric display based on multi-bit color LED. APCCAS 2014: 547-550 - 2013
- [j10]Yeboon Yun, Hirotaka Nakayama:
Utilizing expected improvement and generalized data envelopment analysis in multi-objective genetic algorithms. J. Glob. Optim. 57(2): 367-384 (2013) - 2012
- [c26]Yeboon Yun, Kohei Furukawa, Takeshi Iida, Hirotaka Nakayama:
Evaluation of sewerage systems using data envelopment analysis. SCIS&ISIS 2012: 733-737 - [c25]Hirotaka Nakayama, Yeboon Yun, Yuki Uno:
Parameter tuning of large scale support vector machines using ensemble learning with applications to imbalanced data sets. SMC 2012: 2815-2820 - 2011
- [c24]Yeboon Yun, Hirotaka Nakayama, Min Yoon:
Evolutionary multi-objective optimization using expected improvement and generalized DEA. SMC 2011: 663-668 - 2010
- [c23]Junya Nishiguchi, Chosei Kaseda, Hirotaka Nakayama, Masao Arakawa
, Yeboon Yun:
Modified Support Vector Regression in outlier detection. IJCNN 2010: 1-5 - [p3]Yasuyuki Ichihashi, Hirotaka Nakayama, Shin Awazu, Tomoyoshi Shimobaba, Nobuyuki Masuda, Tomoyoshi Ito:
Real-Time Reconstruction System Using a High-Performance Computer for Electroholography. Computer and Information Science 2010: 141-152
2000 – 2009
- 2009
- [b1]Min Yoon, Yeboon Yun, Hirotaka Nakayama:
Sequential Approximate Multiobjective Optimization Using Computational Intelligence. Vector Optimization, Springer 2009, ISBN 978-3-540-88909-0, pp. 1-183 - [j9]Noriyuki Tanabe, Yasuyuki Ichihashi, Hirotaka Nakayama, Nobuyuki Masuda, Tomoyoshi Ito:
Speed-up of hologram generation using ClearSpeed Accelerator board. Comput. Phys. Commun. 180(10): 1870-1873 (2009) - [c22]Hirotaka Nakayama:
Entire topography of lunar surface. SIGGRAPH ASIA Animations 2009: 48 - [r1]Hirotaka Nakayama:
Multi-objective Optimization: Lagrange Duality. Encyclopedia of Optimization 2009: 2474-2478 - 2008
- [c21]Joshua D. Knowles, Hirotaka Nakayama:
Meta-Modeling in Multiobjective Optimization. Multiobjective Optimization 2008: 245-284 - [c20]Theodor J. Stewart, Oliver Bandte, Heinrich Braun, Nirupam Chakraborti
, Matthias Ehrgott, Mathias Göbelt, Yaochu Jin, Hirotaka Nakayama, Silvia Poles, Danilo Di Stefano:
Real-World Applications of Multiobjective Optimization. Multiobjective Optimization 2008: 285-327 - [c19]Junya Nishiguchi, Chosei Kaseda, Hirotaka Nakayama, Masao Arakawa
, Yeboon Yun:
Practical Approach to Outlier Detection Using Support Vector Regression. ICONIP (1) 2008: 995-1001 - [c18]Hirotaka Nakayama, Yeboon Yun:
Multi-objective Model Predictive Optimization using Computational Intelligence. IFIP AI 2008: 319-328 - [c17]Kenji Yoshida, Yuji Shinoda, Koji Miyazaki, Kayoko Nakagami, Hirotaka Nakayama:
A Prototype for Human-Like e-Learning System. KES (3) 2008: 491-498 - [c16]Yuji Shinoda, Kenji Yoshida, Hirotaka Nakayama:
Modeling of the Students Scenario on a Learning Course. KES (1) 2008: 573-579 - [c15]Hirotaka Nakayama, Yeboon Yun, Masakazu Shirakawa:
Multi-objective Model Predictive Control. MCDM 2008: 277-287 - 2007
- [c14]Hirotaka Nakayama, Yeboon Yun:
Combining Aspiration Level Methods in Multi-objective Programming and Sequential Approximate Optimization using Computational Intelligence. MCDM 2007: 319-324 - [c13]Hirotaka Nakayama:
Aspiration Level Methods in Interactive Multi-objective Programming and Their Engineering Applications (Abstract of Invited Talk). EMO 2007: 1 - [c12]Yeboon Yun, Hirotaka Nakayama, Min Yoon:
Sequential Approximation Method in Multi-objective Optimization Using Aspiration Level Approach. EMO 2007: 317-329 - 2006
- [c11]Hirotaka Nakayama, Yeboon Yun:
Support Vector Regression Based on Goal Programming and Multi-objective Programming. IJCNN 2006: 1156-1161 - [p2]Hirotaka Nakayama, Koichi Inoue, Yukihiro Yoshimori:
Approximate Optimization Using Computaional Intelligence and its Application to Reinforcement of Cable-stayed Bridges. Integrated Intelligent Systems for Engineering Design 2006: 289-304 - [p1]Hirotaka Nakayama, Yeboon Yun:
Generating Support Vector Machines Using Multi-Objective Optimization and Goal Programming. Multi-Objective Machine Learning 2006: 173-198 - 2005
- [j8]Hirotaka Nakayama, Yeboon Yun, Takeshi Asada, Min Yoon:
MOP/GP models for machine learning. Eur. J. Oper. Res. 166(3): 756-768 (2005) - [c10]Yeboon Yun, Min Yoon, Hirotaka Nakayama:
Genetic Algorithm for Multi-objective Optimization Using GDEA. ICNC (3) 2005: 409-416 - [c9]Kensuke Kawai, Shigeru Matsumoto, Mitsunobu Nakajo, Hirotaka Nakayama, Masao Arakawa:
Shinayaka-Systems Design: A Multi-objective Plant-layout Planning for Power Generating Plants. WSTST 2005: 337-348 - [i1]Hirotaka Nakayama:
Multi-objective Optimization and its Engineering Applications. Practical Approaches to Multi-Objective Optimization 2005 - 2004
- [j7]Takeshi Asada, Yeboon Yun, Hirotaka Nakayama, Tetsuzo Tanino:
Pattern classification by goal programming and support vector machines. Comput. Manag. Sci. 1(3-4): 211-230 (2004) - [j6]Yeboon Yun, Hirotaka Nakayama, Tetsuzo Tanino:
A generalized model for data envelopment analysis. Eur. J. Oper. Res. 157(1): 87-105 (2004) - [j5]Yeboon Yun, Hirotaka Nakayama, Masao Arakawa
:
Multiple criteria decision making with generalized DEA and an aspiration level method. Eur. J. Oper. Res. 158(3): 697-706 (2004) - [j4]Min Yoon, Yeboon Yun, Hirotaka Nakayama:
Total Margin Algorithms in Support Vector Machines. IEICE Trans. Inf. Syst. 87-D(5): 1223-1230 (2004) - [c8]Yeboon Yun, Masao Arakawa
, Hirotaka Nakayama:
Fitness evaluation using generalized data envelopment analysis in MOGA. IEEE Congress on Evolutionary Computation 2004: 464-471 - [c7]Yeboon Yun, Min Yoon, Hirotaka Nakayama, Wataru Shiraki:
Prediction of Business Failure by Total Margin Support Vector Machines. KES 2004: 441-448 - 2003
- [c6]Hirotaka Nakayama, Yeboon Yun, Takeshi Asada, Min Yoon:
Goal Programming Approaches to Support Vector Machines. KES 2003: 356-363 - [c5]Hirotaka Nakayama, Atsushi Hattori:
Incremental Learning and Forgetting in RBF Networks and SVMs with Applications to Financial Problems. KES 2003: 1109-1115 - 2001
- [j3]Yeboon Yun, Hirotaka Nakayama, Tetsuzo Tanino, Masao Arakawa
:
Generation of efficient frontiers in multi-objective optimization problems by generalized data envelopment analysis. Eur. J. Oper. Res. 129(3): 586-595 (2001) - [c4]Hirotaka Nakayama, Masao Arakawa
, Rie Sasaki:
A Computational Intelligence Approach to Optimization with Unknown Objective Functions. ICANN 2001: 73-80 - 2000
- [c3]Hirotaka Nakayama, Kengo Yoshii:
Active Forgetting in Machine Learning and its Application to Financial Problems. IJCNN (5) 2000: 123-128
1990 – 1999
- 1998
- [j2]Hirotaka Nakayama, Naoko Kagaku:
Pattern Classification by Linear Goal Programming and its Extensions. J. Glob. Optim. 12(2): 111-126 (1998) - [c2]Koji Miyazaki, Hirotaka Nakayama:
Facial Expression Synthesis by Caricature. ICONIP 1998: 1053-1056 - 1997
- [c1]Hirotaka Nakayama, Masahiko Yoshida:
Additional learning and forgetting by potential method for pattern classification. ICNN 1997: 1839-1844
1970 – 1979
- 1979
- [j1]Hirotaka Nakayama, Tetsuzo Tanino, Keinosuke Matsumoto, Hirofumi Matsuo, Koichi Inoue, Yoshikazu Sawaragi:
Methodology for Group Decision Support with an Application to Assessment of Residential Environment. IEEE Trans. Syst. Man Cybern. 9(9): 477-485 (1979)
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