Masuyama Naoki 増山直輝

Researcher Number	00815607
Other IDs	https://orcid.org/0000-0002-2886-1588
Affiliation (Current)	2024: 大阪公立大学, 大学院情報学研究科 , 准教授
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, 准教授 2019 – 2021: 大阪府立大学, 工学(系)研究科(研究院), 助教
Review Section/Research Field	Principal Investigator Basic Section 61040:Soft computing-related Except Principal Investigator Basic Section 61040:Soft computing-related
Keywords	Principal Investigator 適応共鳴理論 / クラスタリング / コンセプトドリフト / マルチラベル学習 / 深層学習 / データマイニング / 継続学習 / 多目的進化計算 / 可視化 / 最適化 / 進化型多目的最適化 … More Except Principal Investigator … More クラスタリング / 進化計算 / 知識獲得 / 多目的最適化 Less

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Principal Investigator
- Principal Investigator
  
  増山直輝
- Project Period (FY)
  2022 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- 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 Problems
- 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
A Study on Improving Search Ability of Evolutionary Multi-objective Optimization Incorporating Topological ClusteringPrincipal Investigator
- Principal Investigator
  
  Masuyama Naoki
- Project Period (FY)
  2019 – 2022
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61040:Soft computing-related
- Research Institution
  Osaka Metropolitan University
  Osaka Prefecture University

All 2024 2023 2022 2021 2020

All Journal Article Presentation

[Journal Article] Improvement of a Classifier Using Adaptive Resonance Theory-Based Clustering for Multi-Label Mixed Data2024
- Author(s)
  西川毅, 増山直輝, 能島裕介
- Journal Title
  
  Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
  
  Volume: 36 Issue: 1 Pages: 543-549
- DOI
  10.3156/jsoft.36.1_543
- ISSN
  1347-7986, 1881-7203
- Year and Date
  2024-02-15
- Language
  Japanese
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22K12199
[Journal Article] Multi-Label Classification via Adaptive Resonance Theory-Based Clustering2023
- Author(s)
  Masuyama Naoki、Nojima Yusuke、Loo Chu Kiong、Ishibuchi Hisao
- Journal Title
  
  IEEE Transactions on Pattern Analysis and Machine Intelligence
  
  Volume: Early Access Issue: 7 Pages: 1-18
- DOI
  10.1109/tpami.2022.3230414
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K12199
[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] Fuzzy Genetics-Based Machine Learning to Handle Continually Increasing Unknown Classes2020
- Author(s)
  入江勇斗，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: 32 Issue: 1 Pages: 512-517
- DOI
  10.3156/jsoft.32.1_512
- NAID
  130007798550
- ISSN
  1347-7986, 1881-7203
- Year and Date
  2020-02-15
- Language
  Japanese
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K20358
[Journal Article] Adapting Reference Vectors and Scalarizing Functions by Growing Neural Gas to Handle Irregular Pareto Fronts2020
- Author(s)
  Liu Yiping、Ishibuchi Hisao、Masuyama Naoki、Nojima Yusuke
- Journal Title
  
  IEEE Transactions on Evolutionary Computation
  
  Volume: 24 Pages: 439-453
- DOI
  10.1109/tevc.2019.2926151
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20358
[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] 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] 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] 適応共鳴理論に基づく階層的クラスタリング手法の比較検討2023
- Author(s)
  田代一貴，増山直輝，能島裕介
- Organizer
  第6回継続学習と知能の創発研究会
- Data Source
  KAKENHI-PROJECT-22K12199
[Presentation] 適応共鳴理論に基づくマルチラベル量質混在データのためのクラスタリング手法の改良2023
- Author(s)
  西川毅，増山直輝，能島裕介
- Organizer
  第6回継続学習と知能の創発研究会
- Data Source
  KAKENHI-PROJECT-22K12199
[Presentation] ε-局所差分プライバシを考慮した適応共鳴理論に基づく連合クラスタリング手法の検討2023
- Author(s)
  上田裕也，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-22K12199
[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] 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] 適応共鳴理論に基づくクラスタリングを用いたマルチラベル識別におけるラベル学習手法の改良2023
- Author(s)
  扇野雄太，増山直輝，能島裕介
- Organizer
  第5回継続学習と知能の創発研究会
- Data Source
  KAKENHI-PROJECT-22K12199
[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] 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] パラメータ設定の不要な適応共鳴理論に基づく階層的クラスタリング手法の性能比較2023
- Author(s)
  鳥越大貴，増山直輝，能島裕介
- Organizer
  第6回継続学習と知能の創発研究会
- Data Source
  KAKENHI-PROJECT-22K12199
[Presentation] 適応共鳴理論に基づく階層的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2023
- Author(s)
  鳥越大貴，田代一貴，増山直輝，能島裕介，伊藤諒適，三宅寿英，馬野元秀
- Organizer
  第39回ファジィシステムシンポジウム
- Data Source
  KAKENHI-PROJECT-22K12199
[Presentation] Adaptive resonance theory-based topological clustering with node deletion mechanism for evolving stream data2023
- Author(s)
  T. Takebayashi, N. Masuyama, Y. Nojima
- Organizer
  International Conference on Machine Learning and Cybernetics and the International Conference on Wavelet Analysis and Pattern Recognition
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K12199
[Presentation] 自己教師あり継続学習のためのクラスタリングによるリプレイバッファ選択方法の改良2023
- Author(s)
  増山直輝
- Organizer
  第6回継続学習と知能の創発研究会
- Data Source
  KAKENHI-PROJECT-22K12199
[Presentation] ε-局所差分プライバシを考慮した適応共鳴理論に基づく連合クラスタリング手法の検討2023
- Author(s)
  上田裕也，増山直輝，能島裕介
- Organizer
  第5回継続学習と知能の創発研究会
- Data Source
  KAKENHI-PROJECT-22K12199
[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] 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] Analytical methods to separately evaluate convergence and diversity for multi-objective optimization2022
- Author(s)
  T. Kinoshita, N. Masuyama, Y. Nojima, and H. Ishibuchi
- Organizer
  14th International Conference of Metaheuristics (MIC 2022)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20358
[Presentation] 警戒パラメータの推定が可能な適応共鳴理論に基づくトポロジカルクラスタリング手法2022
- Author(s)
  竹林章宜，増山直輝，能島裕介
- Organizer
  第4回継続学習と知能の創発研究会
- Data Source
  KAKENHI-PROJECT-22K12199
[Presentation] Convergence-Diversity Diagramの探索過程分析への拡張2022
- Author(s)
  木下貴登，増山直輝，能島裕介
- Organizer
  第22回進化計算学会研究会
- Data Source
  KAKENHI-PROJECT-19K20358
[Presentation] Search process analysis of multiobjective evolutionary algorithms using convergence-diversity diagram2022
- Author(s)
  T. Kinoshita, 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 (SCIS&ISIS2022)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20358
[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] 進化型多目的最適化アルゴリズムの分割的性能評価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
- Data Source
  KAKENHI-PROJECT-19K20358
[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] 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] 進化型多目的最適化アルゴリズムの分割的性能評価2021
- Author(s)
  木下貴登，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
- Data Source
  KAKENHI-PROJECT-19K20358
[Presentation] 適応共鳴理論に基づくクラスタリングを用いた進化型多目的最適化アルゴリズム2021
- Author(s)
  木下貴登，増山直輝，能島裕介，石渕久生
- Organizer
  第20回進化計算学会研究会
- Data Source
  KAKENHI-PROJECT-19K20358
[Presentation] クラスタリング手法を用いた適応的分割に基づく進化型多目的最適化アルゴリズムの性能評価2020
- Author(s)
  木下貴登，増山直輝，能島裕介，石渕久生
- Organizer
  第14回進化計算シンポジウム
- Data Source
  KAKENHI-PROJECT-19K20358
[Presentation] On the Normalization in Evolutionary Multi-Modal Multi-Objective Optimization2020
- Author(s)
  Liu Yiping、Ishibuchi Hisao、Yen Gary G.、Nojima Yusuke、Masuyama Naoki、Han Yuyan
- Organizer
  2020 IEEE Congress on Evolutionary Computation (CEC 2020)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20358

1. 能島裕介 (10382235)

# of Collaborated Projects: 1 results

# of Collaborated Products: 13 results

Masuyama Naoki 増山 直輝

Research Projects

Research Products

Co-Researchers

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Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

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

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

A Study on Improving Search Ability of Evolutionary Multi-objective Optimization Incorporating Topological ClusteringPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Improvement of a Classifier Using Adaptive Resonance Theory-Based Clustering for Multi-Label Mixed Data2024

Author(s)

Journal Title

DOI

ISSN

Year and Date

Language

Data Source

[Journal Article] Multi-Label Classification via Adaptive Resonance Theory-Based Clustering2023

Author(s)

Journal Title

DOI

Data Source

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

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Fuzzy Genetics-Based Machine Learning to Handle Continually Increasing Unknown Classes2020

Author(s)

Journal Title

DOI

NAID

ISSN

Year and Date

Language

Data Source

[Journal Article] Adapting Reference Vectors and Scalarizing Functions by Growing Neural Gas to Handle Irregular Pareto Fronts2020

Author(s)

Journal Title

DOI

Data Source

[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)

Organizer

Data Source

[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)

Organizer

Data Source

[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)

Organizer

Data Source

[Presentation] 適応共鳴理論に基づく階層的クラスタリング手法の比較検討2023

Author(s)

Organizer

Data Source

[Presentation] 適応共鳴理論に基づくマルチラベル量質混在データのためのクラスタリング手法の改良2023

Author(s)

Organizer

Data Source

[Presentation] ε-局所差分プライバシを考慮した適応共鳴理論に基づく連合クラスタリング手法の検討2023

Author(s)

Organizer

Data Source

[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)

Masuyama Naoki 増山直輝