Nojima Yusuke 能島裕介

… Alternative Names

NOJIMA Yusuke 能島裕介

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Researcher Number	10382235
Other IDs
Affiliation (Current)	2025: 大阪公立大学, 大学院情報学研究科 , 教授
Affiliation (based on the past Project Information) *help	2022 – 2024: 大阪公立大学, 大学院情報学研究科, 教授 2020 – 2021: 大阪府立大学, 工学(系)研究科(研究院), 教授 2013 – 2019: 大阪府立大学, 工学(系)研究科(研究院), 准教授 2012: 大阪府立大学, 大学院・工学研究科, 助教 2012: 大阪府立大学, 工学(系)研究科(研究院), 助教 … More 2010 – 2011: 大阪府立大学, 工学研究科, 助教 2008: Osaka Prefecture University, 大学院・工学研究科, 助教 2008: Osaka Prefecture University, 工学研究科, 助教 2007: Osaka Prefecture University, 工学研究科(研究院), 助教 2006: 大阪府立大学, 工学研究科, 助手 Less
Review Section/Research Field	Principal Investigator Basic Section 61040:Soft computing-related / Soft computing / Sensitivity informatics/Soft computing / Basic Section 61040:Soft computing-related
Keywords	Principal Investigator 知識獲得 / 多目的最適化 / 進化計算 / 並列分散実装 / 遺伝的アルゴリズム / ファジィシステム / クラスタリング / 解釈可能性 / 進化型機械学習 / 大規模多属性データ … More / 遺伝的機械学習 / ファジイシステム / 対話型計算手法 / 進化型多目的最適化 / ファジィ理論 Less

Multiform Multi-Objective Feature Selection for Unbalanced ClassificationPrincipal Investigator
- Principal Investigator
  
  能島裕介
- Project Period (FY)
  2024 – 2025
- Research Category
  
  Grant-in-Aid for JSPS Fellows
- Review Section
  
  Basic Section 61040:Soft computing-related
- Research Institution
  Osaka Metropolitan University
Development of Evolutionary Multiobjective Optimization Algorithms and Benchmark Problem Design based on the Analysis of Real-world ProblemsPrincipal Investigator
- Principal Investigator
  
  能島裕介
- Project Period (FY)
  2022 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 61040:Soft computing-related
- Research Institution
  Osaka Metropolitan University
Rule-based Explainable Knowledge Acquisition by Multiobjective Evolutionary Machine LearningPrincipal Investigator
- Principal Investigator
  
  Nojima Yusuke
- Project Period (FY)
  2019 – 2022
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 61040:Soft computing-related
- Research Institution
  Osaka Metropolitan University
  Osaka Prefecture University
Data Mining from Large High-dimensional Data by Multiobjective Genetics-based Machine LearningPrincipal Investigator
- Principal Investigator
  
  Nojima Yusuke
- Project Period (FY)
  2016 – 2018
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  Soft computing
- Research Institution
  Osaka Prefecture University
Parallel Distributed Implementation of Multiobjective Genetics-based Machine Learning AlgorithmsPrincipal Investigator
- Principal Investigator
  
  Nojima Yusuke
- Project Period (FY)
  2013 – 2015
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  Soft computing
- Research Institution
  Osaka Prefecture University
Effective Population and Training Data Partitioning in Parallel Distributed Evolutionary Knowledge AcquisitionPrincipal Investigator
- Principal Investigator
  
  NOJIMA Yusuke
- Project Period (FY)
  2010 – 2012
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Sensitivity informatics/Soft computing
- Research Institution
  Osaka Prefecture University
Evolutionary Multiobjective Optimization Algorithm with Designer's Evaluation for Fuzzy System DesignPrincipal Investigator
- Principal Investigator
  
  NOJIMA Yusuke
- Project Period (FY)
  2006 – 2008
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Sensitivity informatics/Soft computing
- Research Institution
  Osaka Prefecture University

[Journal Article] Reference Vector Adaptation and Mating Selection Strategy via Adaptive Resonance Theory-Based Clustering for Many-Objective Optimization2023
- Author(s)
  Kinoshita Takato、Masuyama Naoki、Liu Yiping、Nojima Yusuke、Ishibuchi Hisao
- Journal Title
  
  IEEE Access
  
  Volume: 11 Pages: 126066-126086
- DOI
  10.1109/access.2023.3331747
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K24920
[Journal Article] Michigan-Style Fuzzy Genetics-Based Machine Learning for Class Imbalance Data2021
- Author(s)
  西原光洋, 増山直輝, 能島裕介, 石渕久生
- Journal Title
  
  Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
  
  Volume: 33 Issue: 1 Pages: 525-530
- DOI
  10.3156/jsoft.33.1_525
- NAID
  130007986490
- ISSN
  1347-7986, 1881-7203
- Year and Date
  2021-02-15
- Language
  English
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K12159
[Journal Article] Extension of Multi-Objective Fuzzy Genetics-Based Machine Learning for Multi-Label Classification to Many-Objective Optimization2021
- Author(s)
  面﨑祐一, 増山直輝, 能島裕介, 石渕久生
- Journal Title
  
  Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
  
  Volume: 33 Issue: 1 Pages: 531-536
- DOI
  10.3156/jsoft.33.1_531
- NAID
  130007986483
- ISSN
  1347-7986, 1881-7203
- Year and Date
  2021-02-15
- Language
  English
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K12159
[Journal Article] 遺伝的機械学習を用いた大規模データからの知識獲得2013
- Author(s)
  能島裕介，石渕久生
- Journal Title
  
  システム／制御／情報 : システム制御情報学会誌
  
  Volume: 57 Pages: 421-426
- Data Source
  KAKENHI-PROJECT-25330292
[Journal Article] Parallel distributed hybrid fuzzy GBML models with rule set migration and training data rotation2013
- Author(s)
  H. Ishibuchi, S. Mihara, and Y. Nojima
- Journal Title
  
  IEEE Transactions on Fuzzy Systems
  
  Volume: 21 Pages: 355-368
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22700239
[Journal Article] Parallel distributed genetic fuzzy rule selection2009
- Author(s)
  Y. Nojima, H. Jshibuchi, and I. Kuwajima
- Journal Title
  
  Soft Computing 13
  
  Pages: 511-519
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18700228
[Journal Article] Parallel distributed genetic fuzzy rule selection2009
- Author(s)
  Y. Nojima, H. Ishibuchi, and I. Kuwajima
- Journal Title
  
  Soft Computing vol. 13, no. 5
  
  Pages: 511-519
- Data Source
  KAKENHI-PROJECT-18700228
[Journal Article] Parallel Distributed Genetic Fuzzy Rule Selection
- Author(s)
  Y.Nojima, H.Ishibuchi, I.Kuwajima
- Journal Title
  
  Soft Computing (採録決定)
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18700228
[Journal Article] Incorporation of user preference into multiobjective genetic fuzzy rule selection for pattern classification problems
- Author(s)
  Y. Nojima and H. Ishibuchi
- Journal Title
  
  Artificial Life and Robotics (採録決定)
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18700228
[Journal Article] Incorporation of user preference into multiobjective genetic fuzzy rule selection for pattern classification problems
- Author(s)
  Y. Nojima and H. Ishibuchi
- Journal Title
  
  International Journal on Artificial Life and Robotics (採録決定)
- Data Source
  KAKENHI-PROJECT-18700228
[Presentation] 親個体選択戦略の変更による2目的変換に基づくマルチモーダル多目的最適化アルゴリズムの改良2024
- Author(s)
  徳坂光彦，増山直輝，能島裕介
- Organizer
  第25回進化計算学会研究会
- Data Source
  KAKENHI-PROJECT-23K24920
[Presentation] ε-局所差分プライバシを用いた連合サロゲート進化型多目的最適化フレームワークの検討2023
- Author(s)
  木下貴登，増山直輝，能島裕介，石渕久生
- Organizer
  第17回進化計算シンポジウム2023
- Data Source
  KAKENHI-PROJECT-23K24920
[Presentation] 制約付き問題のための適応的問題分割ベース進化型多目的最適化アルゴリズムの検討2023
- Author(s)
  木下貴登，増山直輝，能島裕介
- Organizer
  第39回ファジィシステムシンポジウム
- Data Source
  KAKENHI-PROJECT-23K24920
[Presentation] A decomposition-based multi-modal multi-objective evolutionary algorithm with problem transformation into two-objective subproblems2023
- Author(s)
  Y. Nojima, Y. Fujii, N. Masuyama, Y. Liu, and H. Ishibuchi
- Organizer
  Conference on Genetic and Evolutionary Computation (GECCO)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K24920
[Presentation] 実世界多目的最適化問題のためのRiesz discrete s-Energy によるConvergence-Diversity Diagramの拡張2023
- Author(s)
  木下貴登，増山直輝，能島裕介
- Organizer
  第24回進化計算学会研究会
- Data Source
  KAKENHI-PROJECT-23K24920
[Presentation] Riesz s-energy indicators for diversity assessment of multiobjective evolutionary algorithms2023
- Author(s)
  T. Kinoshita, N. Masuyama, and Y. Nojima
- Organizer
  24th International Symposium on Intelligent Systems (ISIS 2023)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K24920
[Presentation] Effects of parent selection schemes on the search performance of multi-modal multi-objective evolutionary algorithm with problem transformation into two-objective subproblems2023
- Author(s)
  Y. Nojima, T. Tokusaka, and N. Masuyama
- Organizer
  24th International Symposium on Intelligent Systems (ISIS 2023)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K24920
[Presentation] Convergence-Diversity Diagramのためのパレート最適近似手法の検討2022
- Author(s)
  木下貴登，増山直輝，能島裕介，石渕久生
- Organizer
  第16回進化計算シンポジウム2022
- Data Source
  KAKENHI-PROJECT-23K24920
[Presentation] ２段階棄却オプションを導入したファジィ識別器の精度と識別拒否のトレードオフ解析2022
- Author(s)
  川野弘陽，Eric Vernon，増山直輝，能島裕介，石渕久生
- Organizer
  第38回ファジィシステムシンポジウム
- Data Source
  KAKENHI-PROJECT-19K12159
[Presentation] Error-reject tradeoff analysis on two-stage classifier design with a reject option2022
- Author(s)
  E. M. Vernon, N. Masuyama, and Y. Nojima
- Organizer
  2022 World Automation Congress
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K12159
[Presentation] Analytical Methods to Separately Evaluate Convergence and Diversity for Multi-objective Optimization2022
- Author(s)
  Takato Kinoshita, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi
- Organizer
  Metaheuristics International Conference 2022
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K24920
[Presentation] 公平性を導入した多目的ファジィ遺伝的機械学習2022
- Author(s)
  西浦弘樹，増山直輝，能島裕介，石渕久生
- Organizer
  第38回ファジィシステムシンポジウム
- Data Source
  KAKENHI-PROJECT-19K12159
[Presentation] Evolutionary Multi-objective Multi-Tasking for Fuzzy Genetics-Based Machine Learning in Multi-Label Classification2022
- Author(s)
  Y. Omozaki, N. Masuyama, Y. Nojima, and H. Ishibuchi
- Organizer
  2022 IEEE International Conference on Fuzzy Systems
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K12159
[Presentation] Behavior Analysis of Constrained Multiobjective Evolutionary Algorithms using Scalable Constrained Multi-Modal Distance Minimization Problems2022
- Author(s)
  Maaya Yano, Naoki Masuyama, Yusuke Nojima
- Organizer
  2022 World Automation Congress
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K24920
[Presentation] 社会シミュレーションによる経済支援施策の進化型最適設計2022
- Author(s)
  中川夢斗、木下貴登、増山直輝、能島裕介、石渕久生
- Organizer
  第38回ファジィシステムシンポジウム
- Data Source
  KAKENHI-PROJECT-23K24920
[Presentation] Effects of accuracy-based single-objective optimization in multiobjective fuzzy genetics-based machine learning2022
- Author(s)
  T. Konishi, N. Masuyama, and Y. Nojima
- Organizer
  2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K12159
[Presentation] Search Process Analysis of Multiobjective Evolutionary Algorithms using Convergence-Diversity Diagram2022
- Author(s)
  Takato Kinoshita, Naoki Masuyama, Yusuke Nojima
- Organizer
  2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K24920
[Presentation] 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2022
- Author(s)
  小西豪，増山直輝，能島裕介，石渕久生
- Organizer
  第38回ファジィシステムシンポジウム
- Data Source
  KAKENHI-PROJECT-19K12159
[Presentation] 多目的ファジィ遺伝的機械学習におけるルール追加型ミシガン操作2021
- Author(s)
  面崎祐一，増山直輝，能島裕介，石渕久生
- Organizer
  インテリジェント・システム・シンポジウム2021
- Data Source
  KAKENHI-PROJECT-19K12159
[Presentation] Validation data accuracy as an additional objective in multiobjective fuzzy genetics-based machine learning2021
- Author(s)
  S. A. F. Dilone, N. Masuyama, Y. Nojima, and H. Ishibuchi
- Organizer
  22th International Symposium on Advanced Intelligent Systems (ISIS 2021)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K12159
[Presentation] 属性ごとに異なる形状のメンバシップ関数を用いたファジィ識別器設計2021
- Author(s)
  瀧川弘毅，増山直輝，能島裕介，石渕久生
- Organizer
  第37回ファジィシステムシンポジウム
- Data Source
  KAKENHI-PROJECT-19K12159
[Presentation] マルチラベル多目的ファジィ遺伝的機械学習に対する進化型多目的マルチタスク最適化の適用2021
- Author(s)
  面﨑祐一，増山直輝，能島裕介，石渕久生
- Organizer
  第15回進化計算シンポジウム2021
- Data Source
  KAKENHI-PROJECT-19K12159
[Presentation] 複数の閾値を用いた棄却オプションの導入におけるファジィ識別器への影響調査2021
- Author(s)
  川野弘陽，Eric Vernon，増山直輝，能島裕介，石渕久生
- Organizer
  第37回ファジィシステムシンポジウム
- Data Source
  KAKENHI-PROJECT-19K12159
[Presentation] Multiobjective fuzzy genetics-based machine learning for multi-label classification2020
- Author(s)
  Y. Omozaki, N. Masuyama, Y. Nojima, and H. Ishibuchi
- Organizer
  2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2020)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K12159
[Presentation] マルチラベル識別問題におけるファジィ遺伝的機械学習の多目的最適化と多数目的最適化の比較2020
- Author(s)
  面崎祐一，増山直輝，能島裕介，石渕久生
- Organizer
  ファジィシステムシンポジウム2020
- Data Source
  KAKENHI-PROJECT-19K12159
[Presentation] 少数派クラスの識別性能を高めたMichigan型ファジィ遺伝的機械学習手法2020
- Author(s)
  西原光洋，増山直輝，能島裕介，石渕久生
- Organizer
  ファジィシステムシンポジウム2020
- Data Source
  KAKENHI-PROJECT-19K12159
[Presentation] Fuzzy Markup Languageを用いたファジィシステムの開発2019
- Author(s)
  面崎祐一，増山直輝，能島裕介，石渕久生
- Organizer
  ファジィシステムシンポジウム2019
- Data Source
  KAKENHI-PROJECT-19K12159
[Presentation] Development of a GUI tool for FML-based fuzzy system modeling2019
- Author(s)
  Y. Omozaki, N. Masuyama, Y. Nojima, and H. Ishibuchi
- Organizer
  20th International Symposium on Advanced Intelligent Systems and 2019 International Conference on Biometrics and Kansei Engineering
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K12159
[Presentation] Multiobjective evolutionary data mining for performance improvement of evolutionary multiobjective optimization2018
- Author(s)
  Y. Nojima, Y. Tanigaki, N. Masuyama, and H. Ishibuchi
- Organizer
  2018 IEEE International Conference on Systems, Man, and Cybernetics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K00336
[Presentation] Multiobjective evolutionary classifier design using class scores by a deep convolutional neural network2018
- Author(s)
  Y. Nojima, S. Sakai, N. Masuyama, and H. Ishibuchi
- Organizer
  PPSN 2018 Workshop on Evolutionary Machine Learning
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K00336
[Presentation] マルチラベル分類に適応した多目的ファジィ遺伝的機械学習2018
- Author(s)
  荒張巧樹，増山直輝，能島裕介，石渕久生
- Organizer
  第12回進化計算シンポジウム2018
- Data Source
  KAKENHI-PROJECT-16K00336
[Presentation] Multiobjective Fuzzy Genetics-Based Machine Learning based on MOEA/D with its Modifications2017
- Author(s)
  Y. Nojima, K. Arahari, S. Takemura, and H. Ishibuchi
- Organizer
  2017 IEEE International Conference on Fuzzy Systems
- Place of Presentation
  Naples, Italy
- Year and Date
  2017-07-09
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K00336
[Presentation] Michigan-style Fuzzy GBML with (1+1)-ES Generation Update and Multi-Pattern Rule Generation2017
- Author(s)
  Y. Nojima, S. Takemura, K. Watanabe, and H. Ishibuchi
- Organizer
  Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems
- Place of Presentation
  Otsu, Japan
- Year and Date
  2017-06-27
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K00336
[Presentation] Multi-objective GAssist with NSGA-II2017
- Author(s)
  H. Gao, Y. Nojima, and H. Ishibuchi
- Organizer
  18th International Symposium on Advanced Intelligent Systems
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K00336
[Presentation] 複数サーバを用いた並列分散型ファジィ遺伝的機械学習によるビッグデータ処理2017
- Author(s)
  武村周治, 能島裕介, 石渕久生
- Organizer
  第13回進化計算学会研究会講演集
- Data Source
  KAKENHI-PROJECT-16K00336
[Presentation] Multiobjective fuzzy genetics-based machine learning based on MOEA/D with its modifications2017
- Author(s)
  Y. Nojima, K. Arahari, S. Takemura, and H. Ishibuchi
- Organizer
  2017 IEEE International Conference on Fuzzy Systems
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K00336
[Presentation] Michigan-style fuzzy GBML with (1+1)-ES generation update and multi-pattern rule generation2017
- Author(s)
  Y. Nojima, S. Takemura, K. Watanabe, and H. Ishibuchi
- Organizer
  2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K00336
[Presentation] 進化型多目的最適化により得られた解集合からの多目的知識獲得2016
- Author(s)
  能島裕介，谷垣勇輝，石渕久生
- Organizer
  第10回進化計算シンポジウム2016
- Place of Presentation
  千葉県九十九里
- Year and Date
  2016-12-10
- Data Source
  KAKENHI-PROJECT-16K00336
[Presentation] Effects of Parallel Distributed Implementation on the Search Performance of Pittsburgh-style Genetics-based Machine Learning Algorithms2016
- Author(s)
  Y. Nojima and H. Ishibuchi
- Organizer
  2016 IEEE Congress on Evolutionary Computation
- Place of Presentation
  Vancouver Convention Centre, Vancouver (Canada)
- Year and Date
  2016-07-24
- Data Source
  KAKENHI-PROJECT-25330292
[Presentation] Effects of parallel distributed implementation on the search performance of Pittsburgh-style genetics-based machine learning algorithms2016
- Author(s)
  Y. Nojima and H. Ishibuchi
- Organizer
  2016 IEEE Congress on Evolutionary Computation
- Place of Presentation
  Vancouver, Canada
- Year and Date
  2016-07-24
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K00336
[Presentation] 多目的ファジィ遺伝的機械学習に特化したスカラー関数の提案2016
- Author(s)
  荒張巧樹, 武村周治, 能島裕介, 石渕久生
- Organizer
  第11回進化計算学会研究会
- Place of Presentation
  兵庫県神戸
- Year and Date
  2016-09-14
- Data Source
  KAKENHI-PROJECT-16K00336
[Presentation] 多目的ファジィ遺伝的機械学習における並列分散実装の過学習に対する効果2016
- Author(s)
  武村周治，能島裕介，石渕久生
- Organizer
  第10回進化計算シンポジウム2016
- Place of Presentation
  千葉県九十九里
- Year and Date
  2016-12-10
- Data Source
  KAKENHI-PROJECT-16K00336
[Presentation] Fitting and overfitting of multi-objective fuzzy genetics-based machine learning to training data2016
- Author(s)
  H. Ishibuchi, S. Takemura, and Y. Nojima
- Organizer
  7th International Symposium on Computational Intelligence and Industrial Applications
- Place of Presentation
  Beijing, China
- Year and Date
  2016-11-03
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K00336
[Presentation] 並列分散型多目的ファジィ遺伝的機械学習における目的関数の回転2015
- Author(s)
  高橋佑治，能島裕介，石渕久生
- Organizer
  第31回ファジィシステムシンポジウム
- Place of Presentation
  電気通信大学（東京都・調布市）
- Year and Date
  2015-09-02
- Data Source
  KAKENHI-PROJECT-25330292
[Presentation] 多目的ファジィ遺伝的機械学習におけるアルゴリズムの違いによる探索性能への影響2015
- Author(s)
  武村周治, 能島裕介, 石渕久生
- Organizer
  第9回進化計算シンポジウム
- Place of Presentation
  グリーンホテル三ヶ根（愛知県・西尾市）
- Year and Date
  2015-12-19
- Data Source
  KAKENHI-PROJECT-25330292
[Presentation] Rotation effects of objective functions in parallel distributed multiobjective fuzzy genetics-based machine learning2015
- Author(s)
  Y. Takahashi, Y. Nojima, and H. Ishibuchi
- Organizer
  10th Asian Control Conference
- Place of Presentation
  Sutera Harbour Resort, Kota Kinabalu (Malaysia)
- Year and Date
  2015-05-31
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-25330292
[Presentation] Handling a training dataset as a black-box model for privacy preserving in fuzzy GBML algorithms2015
- Author(s)
  H. Ishibuchi and Y. Nojima
- Organizer
  2015 IEEE International Conference on Fuzzy Systems
- Place of Presentation
  Kadir Has University, Istanbul　(Turkey)
- Year and Date
  2015-08-02
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-25330292
[Presentation] Parallel Distributed Multiobjective Evolutionary Algorithms2013
- Author(s)
  Y. Nojima
- Organizer
  7th International Conference on Intelligent System Application to Power Systems
- Place of Presentation
  Tokyo, Japan
- Data Source
  KAKENHI-PROJECT-25330292
[Presentation] Rule weight update in parallel distributed fuzzy genetics-based machine learning with data rotation2013
- Author(s)
  H. Ishibuchi, M. Yamane, and Y. Nojima
- Organizer
  2013 IEEE International Conference on Fuzzy Systems
- Place of Presentation
  Hyderabad, India
- Data Source
  KAKENHI-PROJECT-25330292
[Presentation] Application of parallel distributed implementation to GAssist and its sensitivity analysis on the number of sub-populations and training data subsets2013
- Author(s)
  Y. Nojima, P. Ivarsson, and H. Ishibuchi
- Organizer
  14th International Symposium on Advanced Intelligent Systems
- Place of Presentation
  Daejeon, Korea
- Data Source
  KAKENHI-PROJECT-25330292
[Presentation] Ensemble fuzzy rule-based classifier design by parallel distributed fuzzy GBML algorithms2012
- Author(s)
  H. Ishibuchi, M. Yamane, and Y. Nojima
- Organizer
  9th International Conference on Simulated Evolution and Learning
- Place of Presentation
  Hanoi, Vietnam
- Data Source
  KAKENHI-PROJECT-22700239
[Presentation] 並列分散型ファジィ遺伝的機械学習によるアンサンブル識別器の設計2012
- Author(s)
  山根優和,能島裕介,石渕久生
- Organizer
  第28回ファジィシステムシンポジウム
- Place of Presentation
  名古屋
- Year and Date
  2012-09-14
- Data Source
  KAKENHI-PROJECT-22700239
[Presentation] Application of parallel distributed genetics-based machine learning toimbalanced data sets2012
- Author(s)
  Y. Nojima, S. Mihara, and H. Ishibuchi
- Organizer
  Proc. of 2012 IEEE International Conference on Fuzzy Systems
- Place of Presentation
  Brisbane, Australia
- Year and Date
  2012-06-15
- Data Source
  KAKENHI-PROJECT-22700239
[Presentation] 並列分散型ファジィ遺伝的機械学習によるアンサンブル識別器の設計2012
- Author(s)
  山根優和，能島裕介，石渕久生
- Organizer
  第28回ファジィシステムシンポジウム
- Place of Presentation
  名古屋，愛知県
- Data Source
  KAKENHI-PROJECT-22700239
[Presentation] Application of parallel distributed genetics-based machine learning to imbalanced data sets2012
- Author(s)
  Y. Nojima, S. Mihara, and H. Ishibuchi
- Organizer
  2012 IEEE International Conference on Fuzzy Systems
- Place of Presentation
  Brisbane, Australia
- Data Source
  KAKENHI-PROJECT-22700239
[Presentation] Ensemble fuzzy rule-based classifier design by parallel distributed fuzzy GBML algorithms2012
- Author(s)
  H. Ishibuchi, M. Yamane, and Y. Nojima
- Organizer
  Proc. of 9th International Conference on Simulated Evolution and Learning - SEAL 2012
- Place of Presentation
  Hanoi, Vietnam
- Year and Date
  2012-12-19
- Data Source
  KAKENHI-PROJECT-22700239
[Presentation] Parallel distributed genetic rule selection of association rules2011
- Author(s)
  Y.Nojima, S.Mihara, H.Ishibuchi
- Organizer
  International Workshop on Simulation and Modeling related to Computational Science and Robotics Technology
- Place of Presentation
  神戸大学神戸・日本
- Data Source
  KAKENHI-PROJECT-22700239
[Presentation] Training data subdivision and periodical rotation in hybrid fuzzy genetics-based machine learning2011
- Author(s)
  H.Ishibuchi, S.Mihara, Y.Nojima
- Organizer
  10th International Conference on Machine Learning and Applications
- Place of Presentation
  Hilton Hawaiian Villageホノルル・米国
- Data Source
  KAKENHI-PROJECT-22700239
[Presentation] Relation between migration interval and data rotation interval in parallel distributed fuzzy GBML2011
- Author(s)
  S.Mihara, Y.Nojima, H.Ishibuchi
- Organizer
  12th International Symposium on Advanced Intelligent Systems
- Place of Presentation
  La Vie D'OR Resort Suwon・韓国
- Data Source
  KAKENHI-PROJECT-22700239
[Presentation] Training data subdivision and periodical rotation in hybrid fuzzy genetics-based machine learning2011
- Author(s)
  H. Ishibuchi, S. Mihara, and Y. Nojima
- Organizer
  Proc. of 10th International Conference on Machine Learning and Applications
- Place of Presentation
  Honolulu, Hawaii, USA
- Year and Date
  2011-12-21
- Data Source
  KAKENHI-PROJECT-22700239
[Presentation] 並列分散型遺伝的機械学習における環境の変化が及ぼす汎化性能への影響2011
- Author(s)
  三原新吾, 能島裕介, 石渕久生
- Organizer
  進化計算シンポジウム2011
- Place of Presentation
  モンタナリゾート岩沼・宮城
- Data Source
  KAKENHI-PROJECT-22700239
[Presentation] 並列分散型ファジィ遺伝的機械学習の探索性能に対する個体移住操作の影響2011
- Author(s)
  三原新吾, 能島裕介, 石渕久生
- Organizer
  第21回インテリジェント・システム・シンポジウム
- Place of Presentation
  神戸大学・兵庫
- Data Source
  KAKENHI-PROJECT-22700239
[Presentation] Relation between migration interval and data rotation interval in parallel distributed fuzzy GBML2011
- Author(s)
  S. Mihara. Y. Nojima, and H. Ishibuchi
- Organizer
  Proc. of 12th International Symposium on Advanced Intelligent Systems
- Place of Presentation
  Suwon, Korea
- Year and Date
  2011-10-01
- Data Source
  KAKENHI-PROJECT-22700239
[Presentation] 並列分散型遺伝的機械学習における環境の変化が及ぼす汎化性能への影響2011
- Author(s)
  三原新吾,能島裕介,石渕久生
- Place of Presentation
  宮城
- Year and Date
  2011-12-18
- Data Source
  KAKENHI-PROJECT-22700239
[Presentation] 並列分散型ファジィ遺伝的機械学習の探索性能に対する個体移住操作の影響2011
- Author(s)
  三原新吾,能島裕介,石渕久生
- Organizer
  第21回インテリジェント・システム・シンポジウム講演論文集
- Place of Presentation
  神戸
- Year and Date
  2011-09-14
- Data Source
  KAKENHI-PROJECT-22700239
[Presentation] Parallel distributed genetic rule selection of association rules2011
- Author(s)
  Y. Nojima, S. Mihara, and H. Ishibuchi
- Organizer
  Abstract Booklet of International Workshop on Simulation and Modeling related to Computational Science and Robotics Technology
- Place of Presentation
  Kobe, Japan
- Year and Date
  2011-11-03
- Data Source
  KAKENHI-PROJECT-22700239
[Presentation] Ensemble classifier design by parallel distributed implementation of genetic fuzzy rule selection for large data sets2010
- Author(s)
  Y.Nojima, S.Mihara, H.Ishibuchi
- Organizer
  2010 IEEE Congress on Evolutionary Computation
- Place of Presentation
  Centre de Conventions Internacional de Barcelona,スペイン・バルセロナ
- Year and Date
  2010-07-18
- Data Source
  KAKENHI-PROJECT-22700239
[Presentation] Rotation effect of training data subsets in parallel distributed fuzzy genetics-based machine learning2010
- Author(s)
  Y. Nojima, S. Mihara, and H. Ishibuchi
- Organizer
  Proc. of 14th Asia Pacific Symposium on Intelligent and Evolutionary Systems
- Place of Presentation
  Miyajima, Japan
- Year and Date
  2010-11-20
- Data Source
  KAKENHI-PROJECT-22700239
[Presentation] Rotation effect of training data subsets in parallel distributed fuzzy genetics-based machine learning2010
- Author(s)
  Y.Nojima, S.Mihara, H.Ishibuchi
- Organizer
  14th Asia Pacific Symposium on Intelligent and Evolutionary Systems
- Place of Presentation
  国民宿舎杜の宿広島県・宮島
- Year and Date
  2010-10-19
- Data Source
  KAKENHI-PROJECT-22700239
[Presentation] Ensemble classifier design by parallel distributed implementation of genetic fuzzy rule selection for large data sets2010
- Author(s)
  Y. Nojima, S. Mihara, and H. Ishibuchi
- Organizer
  Proc. of 2010 IEEE Congress on Evolutionary Computation
- Place of Presentation
  Barcelona, Spain
- Year and Date
  2010-07-23
- Data Source
  KAKENHI-PROJECT-22700239
[Presentation] Parallel distributed implementation of genetics-based machine learning for fuzzy classifier design2010
- Author(s)
  Y.Nojima, S.Mihara, H.Ishibuchi
- Organizer
  8th International Conference on Simulated Evolution and Learning
- Place of Presentation
  Indian Institute of Technology Kanpur,インド・カンプール
- Year and Date
  2010-12-01
- Data Source
  KAKENHI-PROJECT-22700239
[Presentation] Parallel distributed implementation of genetics-based machine learning for fuzzy classifier design2010
- Author(s)
  Y. Nojima, S. Mihara, and H. Ishibuchi
- Organizer
  Lecture Notes in Computer Science 6457: Simulated Evolution and Learning (8th International Conference on Simulated Evolution and Learning)
- Place of Presentation
  Springer, Berlin
- Year and Date
  2010-12-04
- Data Source
  KAKENHI-PROJECT-22700239
[Presentation] Application of interactive fuzzy data mining to the analysis of inter-vehicle communication in traffic simulations2009
- Author(s)
  Y. Nojima, Y. Hamada, and H. Ishibuchi
- Organizer
  5th International Conference on Sciences of Electronic, Technologies of Information and Telecommunication
- Place of Presentation
  Hammamet, Tunisia
- Year and Date
  2009-03-25
- Data Source
  KAKENHI-PROJECT-18700228
[Presentation] Interactive genetic fuzzy rule selection through evolutionary multiobjective optimization with user preference2009
- Author(s)
  Y. Nojima and H. Ishibuchi
- Organizer
  Proc. of 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making
- Place of Presentation
  Nashville, USA
- Data Source
  KAKENHI-PROJECT-18700228
[Presentation] Interactive genetic fuzzy rule selection through evolutionary multiobjective optimization with user preference.2009
- Author(s)
  Y. Nojima and H. Ishibuchi
- Organizer
  2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision Making
- Place of Presentation
  Nashville, USA
- Year and Date
  2009-04-01
- Data Source
  KAKENHI-PROJECT-18700228
[Presentation] Application of interactive fuzzy data mining to the analysis of inter-vehicle communication in traffic simulations2009
- Author(s)
  Y. Nojima, Y. Hamada, and H. Ishibuchi
- Organizer
  Proc. of 5th International Conference on Sciences of Electroni, Technologies of Information and Telecommunications
- Place of Presentation
  Hammamet, Tunisia
- Data Source
  KAKENHI-PROJECT-18700228
[Presentation] Data set subdivision for parallel distributed implementation of genetic fuzzy rule selection2007
- Author(s)
  Y. Nojima, I. Kuwajima, and H. Ishibuchi
- Organizer
  Proc. Of 2007 IEEE International Conference on Fuzzy Systems
- Place of Presentation
  London, UK
- Data Source
  KAKENHI-PROJECT-18700228
[Presentation] Data Set Subdivision for Parallel Distributed Implementation of Genetic Fuzzy Rule Selection2007
- Author(s)
  Y.Nojima, I.Kuwajima, H.Ishibuchi
- Organizer
  2007 IEEE International Conference on Fuzzy Systems
- Place of Presentation
  ロンドン・イギリス
- Data Source
  KAKENHI-PROJECT-18700228
[Presentation] Genetic lateral tuning of membership functions as post-processing for hybrid fuzzy genetics-based machine learning
- Author(s)
  Y. Nojima, Y. Takahashi, and H. Ishibuchi
- Organizer
  7th International Conference on Soft Computing and Intelligent Systems and 15th International Symposium on Advanced Intelligent Systems
- Place of Presentation
  Kitakyushu, Japan
- Year and Date
  2014-12-03 – 2014-12-06
- Invited
- Data Source
  KAKENHI-PROJECT-25330292
[Presentation] Hybrid fuzzy genetics-based machine learning with entropy-based inhomogeneous interval discretization
- Author(s)
  Y. Takahashi, Y. Nojima, and H. Ishibuchi
- Organizer
  2014 IEEE International Conference on Fuzzy Systems
- Place of Presentation
  Beijing, China
- Year and Date
  2014-07-06 – 2014-07-11
- Invited
- Data Source
  KAKENHI-PROJECT-25330292
[Presentation] Application of parallel distributed implementation to multiobjective fuzzy genetics-based machine learning
- Author(s)
  Y. Nojima, Y. Takahashi, and H. Ishibuchi
- Organizer
  7th Asian Conference on Intelligent Information and Database Systems
- Place of Presentation
  Bali, Indonesia
- Year and Date
  2015-03-23 – 2015-03-25
- Invited
- Data Source
  KAKENHI-PROJECT-25330292

1. 増山直輝 (00815607)

# of Collaborated Projects: 1 results

# of Collaborated Products: 13 results
2. JIAO RUWANG

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

Nojima Yusuke 能島 裕介

NOJIMA Yusuke 能島 裕介

Research Projects

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Multiform Multi-Objective Feature Selection for Unbalanced ClassificationPrincipal Investigator

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Development of Evolutionary Multiobjective Optimization Algorithms and Benchmark Problem Design based on the Analysis of Real-world ProblemsPrincipal Investigator

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Rule-based Explainable Knowledge Acquisition by Multiobjective Evolutionary Machine LearningPrincipal Investigator

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Data Mining from Large High-dimensional Data by Multiobjective Genetics-based Machine LearningPrincipal Investigator

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Parallel Distributed Implementation of Multiobjective Genetics-based Machine Learning AlgorithmsPrincipal Investigator

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Effective Population and Training Data Partitioning in Parallel Distributed Evolutionary Knowledge AcquisitionPrincipal Investigator

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Evolutionary Multiobjective Optimization Algorithm with Designer's Evaluation for Fuzzy System DesignPrincipal Investigator

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[Journal Article] Reference Vector Adaptation and Mating Selection Strategy via Adaptive Resonance Theory-Based Clustering for Many-Objective Optimization2023

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[Journal Article] Michigan-Style Fuzzy Genetics-Based Machine Learning for Class Imbalance Data2021

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[Journal Article] Extension of Multi-Objective Fuzzy Genetics-Based Machine Learning for Multi-Label Classification to Many-Objective Optimization2021

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[Journal Article] 遺伝的機械学習を用いた大規模データからの知識獲得2013

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[Journal Article] Parallel distributed hybrid fuzzy GBML models with rule set migration and training data rotation2013

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[Journal Article] Parallel distributed genetic fuzzy rule selection2009

Author(s)

Nojima Yusuke 能島裕介

NOJIMA Yusuke 能島裕介