Nojima Yusuke

ノジマユウスケ | Nojima Yusuke

Affiliation and department：
Job title： Professor
Homepage URL (2)： https://yusuke-nojima.github.io/index_j.html , https://yusuke-nojima.github.io

Research field (2)： Soft computing , Sensitivity (kansei) informatics

Research keywords (14)：ファジィシステム , 進化計算 , 対話型計算手法 , 進化型多目的最適化 , ファジィ理論 , 知識獲得 , 多目的最適化 , 遺伝的機械学習 , 遺伝的アルゴリズム , 並列分散実装 , 計算知能工学 , Genetic Fuzzy Systems , Evolutionary Multiobjective Optimization , Computational Intelligence

Research theme for competitive and other funds (6)：

2022 - 2026 Development of Evolutionary Multiobjective Optimization Algorithms and Benchmark Problem Design based on the Analysis of Real-world Problems
2019 - 2022 Rule-based Explainable Knowledge Acquisition by Multiobjective Evolutionary Machine Learning
2016 - 2019 Data Mining from Large High-dimensional Data by Multiobjective Genetics-based Machine Learning
2013 - 2016 Parallel Distributed Implementation of Multiobjective Genetics-based Machine Learning Algorithms
2010 - 2012 Effective Population and Training Data Partitioning in Parallel Distributed Evolutionary Knowledge Acquisition

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Papers (277)：

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
KONISHI Takeru, MASUYAMA Naoki, NOJIMA Yusuke. Verification of the Effectiveness of Using an Archive Population on Two-Stage Fuzzy Genetics-Based Machine Learning. Journal of Japan Society for Fuzzy Theory and Intelligent Informatics. 2024. 36. 1. 565-570
Naoki Masuyama, Yusuke Nojima, Yuichiro Toda, Chu Kiong Loo, Hisao Ishibuchi, Naoyuki Kubota. Privacy-preserving Continual Federated Clustering via Adaptive Resonance Theory. CoRR. 2023. abs/2309.03487
Naoki Masuyama, Takanori Takebayashi, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi, Stefan Wermter. A Parameter-free Adaptive Resonance Theory-based Topological Clustering Algorithm Capable of Continual Learning. CoRR. 2023. abs/2305.01507
Mohamed Arezki Mellal, Enrico Zio, Sameer Al-Dahidi, Naoki Masuyama, Yusuke Nojima. System design optimization with mixed subsystems failure dependencies. Reliab. Eng. Syst. Saf. 2023. 231. 109005-109005

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MISC (61)：

小西豪, 増山直輝, 能島裕介. アーカイブ個体群を用いた2段階ファジィ遺伝的機械学習の検討-A Study on Two-Stage Multi-objective Fuzzy Genetics-based Machine Learning Using an Archive Population. ファジィシステムシンポジウム講演論文集. 2023. 39. 666-671
小西豪, 増山直輝, 能島裕介, 石渕久生. 精度に特化した最適化を最初に行う多目的ファジィ遺伝的機械学習-Multiobjective Fuzzy Genetics-based Machine Learning with Accuracy-Oriented Pre-Optimization. ファジィシステムシンポジウム講演論文集. 2022. 38. 628-633
本多克宏, 能島裕介, 中島智晴. SOFT-CR連携ファジィ学問塾2019開催報告. 知能と情報. 2019. 31. 6. 172-173
Chun-Hao Chen, Chuan-Kang Ting, Yusuke Nojima. Special issue on soft computing for big data and social informatics. SOFT COMPUTING. 2017. 21. 11. 2799-2800
Generalization Ability of Multiobjective Evolutionary Algorithms Obtained by Hyper-Heuristics. 2017. 61. 6p

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Professional career (1)：

博士(工学) (神戸大学)

Work history (4)：

2022/04 - 現在 Osaka Metropolitan University Department of Core Informatics, Graduate School of Informantics Professor
2020/10 - 2022/03 Osaka Prefecture University Graduate School of Engineering Division of Electrical Engineering and Information Science Professor
2013/04 - 2020/09 Osaka Prefecture University Graduate School of Engineering Division of Electrical Engineering and Information Science Associate Professor
2010 - 2013 Osaka Prefecture University

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