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Naoki Masuyama
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Publications
- 2023
- [j15]Takato Kinoshita, Naoki Masuyama, Yiping Liu, Yusuke Nojima, Hisao Ishibuchi:
Reference Vector Adaptation and Mating Selection Strategy via Adaptive Resonance Theory-Based Clustering for Many-Objective Optimization. IEEE Access 11: 126066-126086 (2023) - [j14]Naoki Masuyama, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi:
Multi-Label Classification via Adaptive Resonance Theory-Based Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8696-8712 (2023) - [c48]Yusuke Nojima, Koyo Kawano, Hajime Shimahara, Eric Vernon, Naoki Masuyama, Hisao Ishibuchi:
Fuzzy Classifiers with a Two-Stage Reject Option. FUZZ 2023: 1-6 - [c47]Yusuke Nojima, Yuto Fujii, Naoki Masuyama, Yiping Liu, Hisao Ishibuchi:
A Decomposition-based Multi-modal Multi-objective Evolutionary Algorithm with Problem Transformation into Two-objective Subproblems. GECCO Companion 2023: 399-402 - [i7]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 abs/2305.01507 (2023) - [i6]Naoki Masuyama, Yusuke Nojima, Yuichiro Toda, Chu Kiong Loo, Hisao Ishibuchi, Naoyuki Kubota:
Privacy-preserving Continual Federated Clustering via Adaptive Resonance Theory. CoRR abs/2309.03487 (2023) - 2022
- [j12]Naoki Masuyama, Narito Amako, Yuna Yamada, Yusuke Nojima, Hisao Ishibuchi:
Adaptive Resonance Theory-Based Topological Clustering With a Divisive Hierarchical Structure Capable of Continual Learning. IEEE Access 10: 68042-68056 (2022) - [c45]Takato Kinoshita, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi:
Analytical Methods to Separately Evaluate Convergence and Diversity for Multi-objective Optimization. MIC 2022: 172-186 - [c44]Yuichi Omozaki, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi:
Evolutionary Multi-Objective Multi-Tasking for Fuzzy Genetics-Based Machine Learning in Multi-Label Classification. FUZZ-IEEE 2022: 1-8 - [c43]Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi, Zongying Liu:
Adaptive Resonance Theory-based Clustering for Handling Mixed Data. IJCNN 2022: 1-8 - [i5]Naoki Masuyama, Narito Amako, Yuna Yamada, Yusuke Nojima, Hisao Ishibuchi:
Adaptive Resonance Theory-based Topological Clustering with a Divisive Hierarchical Structure Capable of Continual Learning. CoRR abs/2201.10713 (2022) - [i4]Naoki Masuyama, Itsuki Tsubota, Yusuke Nojima, Hisao Ishibuchi:
Class-wise Classifier Design Capable of Continual Learning using Adaptive Resonance Theory-based Topological Clustering. CoRR abs/2203.09879 (2022) - [i3]Takato Kinoshita, Naoki Masuyama, Yiping Liu, Yusuke Nojima, Hisao Ishibuchi:
Reference Vector Adaptation and Mating Selection Strategy via Adaptive Resonance Theory-based Clustering for Many-objective Optimization. CoRR abs/2204.10756 (2022) - 2021
- [c38]Yiping Liu, Liting Xu, Yuyan Han, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi, Gary G. Yen:
Multi-Modal Multi-Objective Traveling Salesman Problem and its Evolutionary Optimizer. SMC 2021: 770-777 - [i2]Naoki Masuyama, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi:
Multi-label Classification via Adaptive Resonance Theory-based Clustering. CoRR abs/2103.01511 (2021) - 2020
- [j11]Yiping Liu, Hisao Ishibuchi, Naoki Masuyama, Yusuke Nojima:
Adapting Reference Vectors and Scalarizing Functions by Growing Neural Gas to Handle Irregular Pareto Fronts. IEEE Trans. Evol. Comput. 24(3): 439-453 (2020) - [j10]Yiping Liu, Hisao Ishibuchi, Gary G. Yen, Yusuke Nojima, Naoki Masuyama:
Handling Imbalance Between Convergence and Diversity in the Decision Space in Evolutionary Multimodal Multiobjective Optimization. IEEE Trans. Evol. Comput. 24(3): 551-565 (2020) - [c36]Yuna Yamada, Naoki Masuyama, Narito Amako, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi:
Divisive Hierarchical Clustering Based on Adaptive Resonance Theory. CcS 2020: 1-6 - [c35]Ryuichi Hashimoto, Toshiki Urita, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi:
Effects of Local Mating in Inter-task Crossover on the Performance of Decomposition-based Evolutionary Multiobjective Multitask optimization Algorithms. CEC 2020: 1-8 - [c34]Yiping Liu, Hisao Ishibuchi, Gary G. Yen, Yusuke Nojima, Naoki Masuyama, Yuyan Han:
On the Normalization in Evolutionary Multi-Modal Multi-Objective Optimization. CEC 2020: 1-8 - [c33]Hisao Ishibuchi, Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima:
Many-Objective Problems Are Not Always Difficult for Pareto Dominance-Based Evolutionary Algorithms. ECAI 2020: 291-298 - [c32]Yuichi Omozaki, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi:
Multiobjective Fuzzy Genetics-Based Machine Learning for Multi-Label Classification. FUZZ-IEEE 2020: 1-8 - [c31]Hisao Ishibuchi, Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima:
Effects of dominance resistant solutions on the performance of evolutionary multi-objective and many-objective algorithms. GECCO 2020: 507-515 - [c30]Narito Amako, Naoki Masuyama, Chu Kiong Loo, Yusuke Nojima, Yiping Liu, Hisao Ishibuchi:
Multilayer Clustering Based on Adaptive Resonance Theory for Noisy Environments. IJCNN 2020: 1-8 - [c29]Naoki Masuyama, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi:
Multi-label Classification Based on Adaptive Resonance Theory. SSCI 2020: 1913-1920 - 2019
- [j8]Naoki Masuyama, Chu Kiong Loo, Hisao Ishibuchi, Naoyuki Kubota, Yusuke Nojima, Yiping Liu:
Topological Clustering via Adaptive Resonance Theory With Information Theoretic Learning. IEEE Access 7: 76920-76936 (2019) - [c28]Yiping Liu, Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, Yuyan Han:
Searching for Local Pareto Optimal Solutions: A Case Study on Polygon-Based Problems. CEC 2019: 896-903 - [c27]Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi:
A Multiobjective Test Suite with Hexagon Pareto Fronts and Various Feasible Regions. CEC 2019: 2058-2065 - [c26]Hisao Ishibuchi, Ryo Imada, Naoki Masuyama, Yusuke Nojima:
Two-Layered Weight Vector Specification in Decomposition-Based Multi-Objective Algorithms for Many-Objective Optimization Problems. CEC 2019: 2434-2441 - [c25]Hisao Ishibuchi, Ryo Imada, Naoki Masuyama, Yusuke Nojima:
Comparison of Hypervolume, IGD and IGD+ from the Viewpoint of Optimal Distributions of Solutions. EMO 2019: 332-345 - [c24]Yusuke Nojima, Takafumi Fukase, Yiping Liu, Naoki Masuyama, Hisao Ishibuchi:
Constrained multiobjective distance minimization problems. GECCO 2019: 586-594 - [c23]Hisao Ishibuchi, Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima:
Optimal Distributions of Solutions for Hypervolume Maximization on Triangular and Inverted Triangular Pareto Fronts of Four-Objective Problems. SSCI 2019: 1857-1864 - [c22]Naoki Masuyama, Narito Amako, Yusuke Nojima, Yiping Liu, Chu Kiong Loo, Hisao Ishibuchi:
Fast Topological Adaptive Resonance Theory Based on Correntropy Induced Metric. SSCI 2019: 2215-2221 - [c21]Ryuichi Hashimoto, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi:
Effect of Solution Information Sharing between Tasks on the Search Ability of Evolutionary Multiobjective Multitasking Algorithms. SSCI 2019: 2671-2678 - 2018
- [c20]Hisao Ishibuchi, Ryo Imada, Naoki Masuyama, Yusuke Nojima:
Dynamic Specification of a Reference Point for Hypervolume Calculation in SMS-EMOA. CEC 2018: 1-8 - [c19]Hisao Ishibuchi, Takefumi Fukase, Naoki Masuyama, Yusuke Nojima:
Dual-grid model of MOEA/D for evolutionary constrained multiobjective optimization. GECCO 2018: 665-672 - [c18]Ryuichi Hashimoto, Hisao Ishibuchi, Naoki Masuyama, Yusuke Nojima:
Analysis of evolutionary multi-tasking as an island model. GECCO (Companion) 2018: 1894-1897 - [c17]Yiping Liu, Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, Ke Shang:
A Double-Niched Evolutionary Algorithm and Its Behavior on Polygon-Based Problems. PPSN (1) 2018: 262-273 - [c16]Yiping Liu, Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, Ke Shang:
Improving 1by1EA to Handle Various Shapes of Pareto Fronts. PPSN (1) 2018: 311-322 - [c15]Hisao Ishibuchi, Ryo Imada, Naoki Masuyama, Yusuke Nojima:
Use of Two Reference Points in Hypervolume-Based Evolutionary Multiobjective Optimization Algorithms. PPSN (1) 2018: 384-396 - [c14]Naoki Masuyama, Yuki Tanigaki, Yusuke Nojima, Hisao Ishibuchi:
Multiobjective Evolutionary Data Mining for Performance Improvement of Evolutionary Multiobjective Optimization. SMC 2018: 745-750 - [c13]Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi:
Performance Comparison of Multiobjective Evolutionary Algorithms on Problems with Partially Different Properties from Popular Test Suites. SMC 2018: 769-774 - [c11]Naoki Masuyama, Chu Kiong Loo, Hisao Ishibuchi, Yusuke Nojima, Yiping Lin:
Topological Kernel Bayesian ARTMAP. WAC 2018: 1-5
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