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ORCIDNaoki Masuyama
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2020 – today
- 2024
[j17]Yuichiro Toda
, Naoki Masuyama:
Adaptive Resonance Theory-Based Global Topological Map Building for an Autonomous Mobile Robot. IEEE Access 12: 111371-111385 (2024)- [j16]Naoki Masuyama, Yusuke Nojima, Yuichiro Toda, Chu Kiong Loo, Hisao Ishibuchi, Naoyuki Kubota:
Privacy-Preserving Continual Federated Clustering via Adaptive Resonance Theory. IEEE Access 12: 139692-139710 (2024) - [c53]Takato Kinoshita, Naoki Masuyama, Yusuke Nojima:
A Federated Data-driven Multiobjective Evolutionary Algorithm via Continual Learnable Clustering. CEC 2024: 1-7 - [c52]Rowan Fuerst, Naoki Masuyama, Yusuke Nojima:
Hierarchical Fuzzy Classifier Design Using a Reject Option. FUZZ 2024: 1-7 - [c51]Takeru Konishi, Naoki Masuyama, Jorge Casillas, Yusuke Nojima:
Fairness-aware Classifier Design via Multi-objective Fuzzy Genetics-based Machine Learning. FUZZ 2024: 1-8 - [c50]Yusuke Nojima, Shion Takasaki, Shinji Fukuda, Naoki Masuyama:
Importance of Temporal Information in Fish Habitat Assessment Using Multiobjective Fuzzy Genetics-Based Machine Learning. iFUZZY 2024: 1-6 - [c49]Kazuki Tashiro, Naoki Masuyama, Yusuke Nojima:
A Growing Hierarchical Clustering Algorithm via Parameter-free Adaptive Resonance Theory. IJCNN 2024: 1-6 - [i8]Eric Michael Vernon, Naoki Masuyama, Yusuke Nojima:
Integrating White and Black Box Techniques for Interpretable Machine Learning. CoRR abs/2407.08973 (2024) - 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) - [j13]Mohamed Arezki Mellal, Enrico Zio, Sameer Al-Dahidi, Naoki Masuyama, Yusuke Nojima:
System design optimization with mixed subsystems failure dependencies. Reliab. Eng. Syst. Saf. 231: 109005 (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 - [c46]Takanori Takebayashi, Naoki Masuyama, Yusukeusuke Nijima:
Adaptive Resonance Theory-Based Topological Clustering with Node Deletion Mechanism for Evolving Stream Data. ICMLC 2023: 576-581 - [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 - [c42]Takato Kinoshita, Naoki Masuyama, Yusuke Nojima:
Search Process Analysis of Multiobjective Evolutionary Algorithms using Convergence-Diversity Diagram. SCIS/ISIS 2022: 1-6 - [c41]Takeru Konishi, Naoki Masuyama, Yusuke Nojima:
Effects of Accuracy-based Single-Objective Optimization in Multiobjective Fuzzy Genetics-based Machine Learning. SCIS/ISIS 2022: 1-6 - [c40]Maaya Yano, Naoki Masuyama, Yusuke Nojima:
Behavior Analysis of Constrained Multiobjective Evolutionary Algorithms using Scalable Constrained Multi-Modal Distance Minimization Problems. WAC 2022: 174-179 - [c39]Eric Michael Vernon, Naoki Masuyama, Yusuke Nojima:
Error-Reject Tradeoff Analysis on Two-Stage Classifier Design with a Reject Option. WAC 2022: 312-317 - [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 - [c37]Victor Villin, Naoki Masuyama, Yusuke Nojima:
Effects of Different Optimization Formulations in Evolutionary Reinforcement Learning on Diverse Behavior Generation. SSCI 2021: 1-8 - [i2]Naoki Masuyama, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi:
Multi-label Classification via Adaptive Resonance Theory-based Clustering. CoRR abs/2103.01511 (2021) - [i1]Victor Villin, Naoki Masuyama, Yusuke Nojima:
Effects of Different Optimization Formulations in Evolutionary Reinforcement Learning on Diverse Behavior Generation. CoRR abs/2110.08122 (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
2010 – 2019
- 2019
- [j9]Habeebah Adamu Kakudi, Chu Kiong Loo, Foong Ming Moy, Naoki Masuyama, Kitsuchart Pasupa:
Diagnosing Metabolic Syndrome Using Genetically Optimised Bayesian ARTMAP. IEEE Access 7: 8437-8453 (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) - [j7]Naoki Masuyama, Chu Kiong Loo, Stefan Wermter:
A Kernel Bayesian Adaptive Resonance Theory with A Topological Structure. Int. J. Neural Syst. 29(5): 1850052:1-1850052:20 (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
- [j6]Zongying Liu, Chu Kiong Loo, Naoki Masuyama, Kitsuchart Pasupa:
Recurrent Kernel Extreme Reservoir Machine for Time Series Prediction. IEEE Access 6: 19583-19596 (2018) - [j5]Naoki Masuyama, Chu Kiong Loo, Manjeevan Seera:
Personality affected robotic emotional model with associative memory for human-robot interaction. Neurocomputing 272: 213-225 (2018) - [j4]Naoki Masuyama, Chu Kiong Loo, Farhan Dawood:
Kernel Bayesian ART and ARTMAP. Neural Networks 98: 76-86 (2018) - [j3]Naoki Masuyama, Chu Kiong Loo, Manjeevan Seera, Naoyuki Kubota:
Quantum-Inspired Multidirectional Associative Memory With a Self-Convergent Iterative Learning. IEEE Trans. Neural Networks Learn. Syst. 29(4): 1058-1068 (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 - [c12]Gin Chong Lee, Chu Kiong Loo, Naoki Masuyama:
Parameters Estimation in Topological Kernel Bayesian ART using Multi-objective Particle Swarm Optimization. SSCI 2018: 1595-1601 - [c11]Naoki Masuyama, Chu Kiong Loo, Hisao Ishibuchi, Yusuke Nojima, Yiping Lin:
Topological Kernel Bayesian ARTMAP. WAC 2018: 1-5 - 2017
- [j2]Naoki Masuyama, Md. Nazrul Islam, Manjeevan Seera, Chu Kiong Loo:
Application of emotion affected associative memory based on mood congruency effects for a humanoid. Neural Comput. Appl. 28(4): 737-752 (2017) - 2016
- [c10]Naoki Masuyama, Chu Kiong Loo:
An Iterative Incremental Learning Algorithm for Complex-Valued Hopfield Associative Memory. ICONIP (4) 2016: 423-431 - [c9]Wei Hong Chin, Chu Kiong Loo, Naoki Masuyama:
Multi-Channel Bayesian ART for robot fusion perception. SSCI 2016: 1-5 - [c8]Naoki Masuyama, Chu Kiong Loo:
Growing Neural Gas with Correntropy Induced Metric. SSCI 2016: 1-7 - 2015
- [c7]Naoki Masuyama, Chu Kiong Loo:
Quantum-Inspired Complex-Valued Multidirectional Associative Memory. IJCNN 2015: 1-8 - [c6]Naoki Masuyama, Chu Kiong Loo:
Robotic emotional model with personality factors based on Pleasant-Arousal scaling model. RO-MAN 2015: 19-24 - [c5]Zeeshan Rasool, Naoki Masuyama, Md. Nazrul Islam, Chu Kiong Loo:
Empathic Interaction Using the Computational Emotion Model. SSCI 2015: 109-116 - 2014
- [j1]Naoki Masuyama, Chu Kiong Loo, Naoyuki Kubota:
Quantum-Inspired Bidirectional Associative Memory for Human-Robot Communication. Int. J. Humanoid Robotics 11(2) (2014) - [c4]Naoki Masuyama, Chu Kiong Loo:
Quantum-inspired multidirectional associative memory for human-robot interaction system. FUZZ-IEEE 2014: 1757-1764 - [c3]Naoki Masuyama, Md. Nazrul Islam, Chu Kiong Loo:
Affective communication robot partners using associative memory with mood congruency effects. RiiSS 2014: 104-111 - 2013
- [c2]Naoki Masuyama, Chu Kiong Loo, Naoyuki Kubota:
Human-Robot Interaction System with Quantum-Inspired Bidirectional Associative Memory. RVSP 2013: 66-71 - 2012
- [c1]Naoki Masuyama, Chee Seng Chan, Naoyuki Kubota, Jinseok Woo:
Computational Intelligence for Human Interactive Communication of Robot Partners. PRICAI 2012: 771-776
Coauthor Index
[j16] [c53] [c52] [c51] [c50] [c49] [i8] [j15] [j14] [j13] [c48] [c47] [i7] [i6] [j12] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [i5] [i4] [i3] [c38] [c37] [i2] [i1] [j11] [j10] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [j8] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c11]
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