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J-GLOBAL ID：201801002505807244 Update date: Mar. 01, 2025

Masuyama Naoki

マスヤマナオキ | Masuyama Naoki

Affiliation and department：
Job title： Associate Professor
Homepage URL (2)： https://masuyama-lab.github.io/index_ja.html , https://masuyama-lab.github.io/index.html

Research field (1)： Intelligent informatics

Research keywords (3)： Clustering , Data Mining , Continual Learning

Research theme for competitive and other funds (4)：

2022 - 2026 Development of Evolutionary Multiobjective Optimization Algorithms and Benchmark Problem Design based on the Analysis of Real-world Problems
2022 - 2025 継続的な知識の学習と忘却を両立する適応的クラスタリング手法の開発
2019 - 2022 トポロジカルクラスタリング手法による進化型多目的最適化手法の探索能力の改善
2017 - 2019 Lifelong Machine Learningを基にしたデータマイニングに関する研究

Papers (82)：

Naoki Masuyama, Yusuke Nojima, Yuichiro Toda, Chu Kiong Loo, Hisao Ishibuchi, Naoyuki Kubota. Privacy-Preserving Continual Federated Clustering via Adaptive Resonance Theory. IEEE Access. 2024. 12. 139692-139710
Takenori Obo, Naoyuki Kubota, Yuichiro Toda, Naoki Masuyama. Fast Multi-scale Batch-Learning Growing Neural Gas. Topics in Intelligent Engineering and Informatics. 2024. 13-33
Yuichiro Toda, Naoki Masuyama. Adaptive Resonance Theory-Based Global Topological Map Building for an Autonomous Mobile Robot. IEEE Access. 2024. 12. 111371-111385
Takeru Konishi, Naoki Masuyama, Jorge Casillas, Yusuke Nojima. Fairness-aware Classifier Design via Multi-objective Fuzzy Genetics-based Machine Learning. 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). 2024. 1-8
NISHIKAWA Tsuyoshi, MASUYAMA Naoki, NOJIMA Yusuke. Improvement of a Classifier Using Adaptive Resonance Theory-Based Clustering for Multi-Label Mixed Data. Journal of Japan Society for Fuzzy Theory and Intelligent Informatics. 2024. 36. 1. 543-549

MISC (29)：

鳥越大貴, 田代一貴, 増山直輝, 能島裕介, 伊藤諒, 三宅寿英, 馬野元秀. 適応共鳴理論に基づく階層的トポロジカルクラスタリングにおけるクラスタリング性能向上方法の検討-A Study on Improvement of Clustering Performance for Hierarchical Topological Clustering based on Adaptive Resonance Theory. ファジィシステムシンポジウム講演論文集. 2023. 39. 496-501
Ueda Yuya, Masuyama Naoki, Nojima Yusuke. A Study on Adaptive Resonance Theory-based Clustering Incorporating Federated Clustering with Local ε-Differential Privacy. Proceedings of the Fuzzy System Symposium. 2023. 39. 478-483
Kinoshita Takato, Masuyama Naoki, Nojima Yusuke. A Study of Adaptive Decomposition-based Multiobjective Evolutionary Algorithms for Solving Constrained Problems. Proceedings of the Fuzzy System Symposium. 2023. 39. 279-284
Nishikawa Tsuyoshi, Masuyama Naoki, Nojima Yusuke. Multi-label Classification for Handling Mixed Data via Adaptive Resonance Theory-based Clustering. Proceedings of the Fuzzy System Symposium. 2023. 39. 484-489
Konishi Takeru, Masuyama Naoki, Nojima Yusuke. A Study on Two-Stage Multi-objective Fuzzy Genetics-based Machine Learning Using an Archive Population. Proceedings of the Fuzzy System Symposium. 2023. 39. 666-671

Books (1)：

Lectures and oral presentations (6)：

Adaptive Resonance Theory-based Topological Clustering and its Applications
(2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems 2024)
機械学習セミナー「クラスタリングの基礎」
(2024)
Adaptive Resonance Theory-based Clustering
(International Symposium on Community-centric Systems and Local 5G 2023 (CcS-L5G-2023) 2023)
適応共鳴理論の基礎とその応用
(インテリジェント・システム・シンポジウム 2021)
適応共鳴理論によるクラスタリングとその応用
(CcS-serBOTinQオンラインセミナー 2021)

Professional career (1)：

Work history (3)：

2022/10 - 現在 Osaka Metropolitan University Department of Core Informatics, Graduate School of Informatics Associate Professor
2022/04 - 2022/09 Osaka Metropolitan University Department of Core Informatics, Graduate School of Informatics Assistant Professor
2017/10 - 2022/03 Osaka Prefecture University Graduate School of Engineering Assistant Professor

Awards (7)：

2024/08 - 大阪公立大学 2024年度大阪公立大学若手研究者奨励賞(基礎科学部門)
2024/06 - IEEE WCCI (CEC) 2024 Competition on Multi-Objective Black-Box Optimization Benchmarks in Human-Powered Aircraft Design Competition 3rd Place Competition on Multi-Objective Black-Box Optimization Benchmarks in Human-Powered Aircraft Design
2023/12 - 大阪公立大学 2023年度大阪公立大学学長表彰(研究分野)
2023/08 - 20th World Congress of the International Fuzzy Systems Association (IFSA) Best Paper Award Effects of complexity enhancements on the search performance of multiobjective fuzzy genetics-based machine learning
2019/06 - FML-based Machine Learning Competition for Human and Smart Machine Co-Learning on Game of Go at FUZZ-IEEE2019 and IEEE CEC 2019 FML-based Machine Learning Competition 1st Prize FML-based Machine Learning Competition for Human and Smart Machine Co-Learning on Game of Go

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