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Masuyama Naoki
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Faculty in charge, etc. 【 display / non-display 】
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College of Engineering
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Graduate School of Engineering, School of Engineering
Research content 【 display / non-display 】
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（Keyword）Unsupervised Learning, Clustering, Classification
Academic Society Affiliations 【 display / non-display 】
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Japan Society for Fuzzy Theory and Intelligent Informatics
Prize 【 display / non-display 】
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The Springer Best Paper Award - First Prize, 2019.09, International Conference on Evolutionary Multi-Criterion Optimization
Papers 【 display / non-display 】
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Adapting reference vectors and scalarizing functions by growing neural gas to handle irregular Pareto fronts, IEEE Transactions on Evolutionary Computation, 2020.06, Y. Liu, H. Ishibuchi, N. Masuyama, and Y. Nojima
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Handling imbalance between convergence and diversity in the decision space in evolutionary multi-modal multi-objective optimization, IEEE Transactions on Evolutionary Computation, 2020.06, Y. Liu, H. Ishibuchi, G. G. Yen,Y. Nojima, and N. Masuyama
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Topological Clustering via Adaptive Resonance Theory with Information Theoretic Learning, IEEE Access, 2019.06, Naoki Masuyama, Chu Kiong Loo, Hisao Ishibuchi, Naoyuki Kubota, Yusuke Nojima, and Yiping Liu
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A Kernel Bayesian Adaptive Resonance Theory with A Topological Structure, International Journal of Neural Systems, 2019.01, Naoki Masuyama, Chu Kiong Loo, and Stefan Wermter
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Effects of the Number of Constraints on the Performance of Multi-Objective Evolutionary Algorithms, International Journal of Computer Science and Network Security, 2018.12, [6] Yuki Tanigaki, Naoki Masuyama, and Yusuke Nojima
Charge of class subject 【 display / non-display 】
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Decision Making Theory
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Electrical, Electronic, and Information Engineering in Modern Society
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Computational Intelligence
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Basic Computer Science (Including Information Society and Ethics)
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Decision Making Theory