Naoki Masuyama

According to our database, Naoki Masuyama authored at least 73 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Integrating White and Black Box Techniques for Interpretable Machine Learning.

Eric Michael Vernon, Naoki Masuyama, Yusuke Nojima

CoRR, 2024

Adaptive Resonance Theory-Based Global Topological Map Building for an Autonomous Mobile Robot.

Yuichiro Toda, Naoki Masuyama

IEEE Access, 2024

Privacy-Preserving Continual Federated Clustering via Adaptive Resonance Theory.

Naoki Masuyama, Yusuke Nojima, Yuichiro Toda, Chu Kiong Loo, Hisao Ishibuchi, Naoyuki Kubota

IEEE Access, 2024

A Growing Hierarchical Clustering Algorithm via Parameter-free Adaptive Resonance Theory.

Kazuki Tashiro, Naoki Masuyama, Yusuke Nojima

Proceedings of the International Joint Conference on Neural Networks, 2024

Importance of Temporal Information in Fish Habitat Assessment Using Multiobjective Fuzzy Genetics-Based Machine Learning.

Yusuke Nojima, Shion Takasaki, Shinji Fukuda, Naoki Masuyama

Proceedings of the International Conference on Fuzzy Theory and Its Applications, 2024

Fairness-aware Classifier Design via Multi-objective Fuzzy Genetics-based Machine Learning.

Takeru Konishi, Naoki Masuyama, Jorge Casillas, Yusuke Nojima

Proceedings of the IEEE International Conference on Fuzzy Systems, 2024

Hierarchical Fuzzy Classifier Design Using a Reject Option.

Rowan Fuerst, Naoki Masuyama, Yusuke Nojima

Proceedings of the IEEE International Conference on Fuzzy Systems, 2024

A Federated Data-driven Multiobjective Evolutionary Algorithm via Continual Learnable Clustering.

Takato Kinoshita, Naoki Masuyama, Yusuke Nojima

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023

Multi-Label Classification via Adaptive Resonance Theory-Based Clustering.

Naoki Masuyama, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

System design optimization with mixed subsystems failure dependencies.

Mohamed Arezki Mellal, Enrico Zio, Sameer Al-Dahidi, Naoki Masuyama, Yusuke Nojima

Reliab. Eng. Syst. Saf., 2023

A Parameter-free Adaptive Resonance Theory-based Topological Clustering Algorithm Capable of Continual Learning.

Naoki Masuyama, Takanori Takebayashi, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi, Stefan Wermter

CoRR, 2023

Reference Vector Adaptation and Mating Selection Strategy via Adaptive Resonance Theory-Based Clustering for Many-Objective Optimization.

Takato Kinoshita, Naoki Masuyama, Yiping Liu, Yusuke Nojima, Hisao Ishibuchi

IEEE Access, 2023

Adaptive Resonance Theory-Based Topological Clustering with Node Deletion Mechanism for Evolving Stream Data.

Takanori Takebayashi, Naoki Masuyama, Yusukeusuke Nijima

Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

A Decomposition-based Multi-modal Multi-objective Evolutionary Algorithm with Problem Transformation into Two-objective Subproblems.

Yusuke Nojima, Yuto Fujii, Naoki Masuyama, Yiping Liu, Hisao Ishibuchi

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Fuzzy Classifiers with a Two-Stage Reject Option.

Yusuke Nojima, Koyo Kawano, Hajime Shimahara, Eric Vernon, Naoki Masuyama, Hisao Ishibuchi

Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

2022

Class-wise Classifier Design Capable of Continual Learning using Adaptive Resonance Theory-based Topological Clustering.

Naoki Masuyama, Itsuki Tsubota, Yusuke Nojima, Hisao Ishibuchi

CoRR, 2022

Adaptive Resonance Theory-Based Topological Clustering With a Divisive Hierarchical Structure Capable of Continual Learning.

Naoki Masuyama, Narito Amako, Yuna Yamada, Yusuke Nojima, Hisao Ishibuchi

IEEE Access, 2022

Behavior Analysis of Constrained Multiobjective Evolutionary Algorithms using Scalable Constrained Multi-Modal Distance Minimization Problems.

Maaya Yano, Naoki Masuyama, Yusuke Nojima

Proceedings of the World Automation Congress, 2022

Error-Reject Tradeoff Analysis on Two-Stage Classifier Design with a Reject Option.

Eric Michael Vernon, Naoki Masuyama, Yusuke Nojima

Proceedings of the World Automation Congress, 2022

Effects of Accuracy-based Single-Objective Optimization in Multiobjective Fuzzy Genetics-based Machine Learning.

Takeru Konishi, Naoki Masuyama, Yusuke Nojima

Proceedings of the Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, 2022

Search Process Analysis of Multiobjective Evolutionary Algorithms using Convergence-Diversity Diagram.

Takato Kinoshita, Naoki Masuyama, Yusuke Nojima

Proceedings of the Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, 2022

Adaptive Resonance Theory-based Clustering for Handling Mixed Data.

Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi, Zongying Liu

Proceedings of the International Joint Conference on Neural Networks, 2022

Evolutionary Multi-Objective Multi-Tasking for Fuzzy Genetics-Based Machine Learning in Multi-Label Classification.

Yuichi Omozaki, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Analytical Methods to Separately Evaluate Convergence and Diversity for Multi-objective Optimization.

Takato Kinoshita, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi

Proceedings of the Metaheuristics - 14th International Conference, 2022

2021

Effects of Different Optimization Formulations in Evolutionary Reinforcement Learning on Diverse Behavior Generation.

Victor Villin, Naoki Masuyama, Yusuke Nojima

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Multi-Modal Multi-Objective Traveling Salesman Problem and its Evolutionary Optimizer.

Yiping Liu, Liting Xu, Yuyan Han, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi, Gary G. Yen

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

2020

Handling Imbalance Between Convergence and Diversity in the Decision Space in Evolutionary Multimodal Multiobjective Optimization.

Yiping Liu, Hisao Ishibuchi, Gary G. Yen, Yusuke Nojima, Naoki Masuyama

IEEE Trans. Evol. Comput., 2020

Adapting Reference Vectors and Scalarizing Functions by Growing Neural Gas to Handle Irregular Pareto Fronts.

Yiping Liu, Hisao Ishibuchi, Naoki Masuyama, Yusuke Nojima

IEEE Trans. Evol. Comput., 2020

Multi-label Classification Based on Adaptive Resonance Theory.

Naoki Masuyama, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Multilayer Clustering Based on Adaptive Resonance Theory for Noisy Environments.

Narito Amako, Naoki Masuyama, Chu Kiong Loo, Yusuke Nojima, Yiping Liu, Hisao Ishibuchi

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Effects of dominance resistant solutions on the performance of evolutionary multi-objective and many-objective algorithms.

Hisao Ishibuchi, Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Multiobjective Fuzzy Genetics-Based Machine Learning for Multi-Label Classification.

Yuichi Omozaki, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

Many-Objective Problems Are Not Always Difficult for Pareto Dominance-Based Evolutionary Algorithms.

Hisao Ishibuchi, Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

On the Normalization in Evolutionary Multi-Modal Multi-Objective Optimization.

Yiping Liu, Hisao Ishibuchi, Gary G. Yen, Yusuke Nojima, Naoki Masuyama, Yuyan Han

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Effects of Local Mating in Inter-task Crossover on the Performance of Decomposition-based Evolutionary Multiobjective Multitask optimization Algorithms.

Ryuichi Hashimoto, Toshiki Urita, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Divisive Hierarchical Clustering Based on Adaptive Resonance Theory.

Yuna Yamada, Naoki Masuyama, Narito Amako, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi

Proceedings of the International Symposium on Community-centric Systems, 2020

2019

A Kernel Bayesian Adaptive Resonance Theory with A Topological Structure.

Naoki Masuyama, Chu Kiong Loo, Stefan Wermter

Int. J. Neural Syst., 2019

Topological Clustering via Adaptive Resonance Theory With Information Theoretic Learning.

Naoki Masuyama, Chu Kiong Loo, Hisao Ishibuchi, Naoyuki Kubota, Yusuke Nojima, Yiping Liu

IEEE Access, 2019

Diagnosing Metabolic Syndrome Using Genetically Optimised Bayesian ARTMAP.

Habeebah Adamu Kakudi, Chu Kiong Loo, Foong Ming Moy, Naoki Masuyama, Kitsuchart Pasupa

IEEE Access, 2019

Fast Topological Adaptive Resonance Theory Based on Correntropy Induced Metric.

Naoki Masuyama, Narito Amako, Yusuke Nojima, Yiping Liu, Chu Kiong Loo, Hisao Ishibuchi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Optimal Distributions of Solutions for Hypervolume Maximization on Triangular and Inverted Triangular Pareto Fronts of Four-Objective Problems.

Hisao Ishibuchi, Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Effect of Solution Information Sharing between Tasks on the Search Ability of Evolutionary Multiobjective Multitasking Algorithms.

Ryuichi Hashimoto, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Constrained multiobjective distance minimization problems.

Yusuke Nojima, Takafumi Fukase, Yiping Liu, Naoki Masuyama, Hisao Ishibuchi

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Comparison of Hypervolume, IGD and IGD+ from the Viewpoint of Optimal Distributions of Solutions.

Hisao Ishibuchi, Ryo Imada, Naoki Masuyama, Yusuke Nojima

Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

A Multiobjective Test Suite with Hexagon Pareto Fronts and Various Feasible Regions.

Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Searching for Local Pareto Optimal Solutions: A Case Study on Polygon-Based Problems.

Yiping Liu, Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, Yuyan Han

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Two-Layered Weight Vector Specification in Decomposition-Based Multi-Objective Algorithms for Many-Objective Optimization Problems.

Hisao Ishibuchi, Ryo Imada, Naoki Masuyama, Yusuke Nojima

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

Quantum-Inspired Multidirectional Associative Memory With a Self-Convergent Iterative Learning.

Naoki Masuyama, Chu Kiong Loo, Manjeevan Seera, Naoyuki Kubota

IEEE Trans. Neural Networks Learn. Syst., 2018

Kernel Bayesian ART and ARTMAP.

Naoki Masuyama, Chu Kiong Loo, Farhan Dawood

Neural Networks, 2018

Personality affected robotic emotional model with associative memory for human-robot interaction.

Naoki Masuyama, Chu Kiong Loo, Manjeevan Seera

Neurocomputing, 2018

Recurrent Kernel Extreme Reservoir Machine for Time Series Prediction.

Zongying Liu, Chu Kiong Loo, Naoki Masuyama, Kitsuchart Pasupa

IEEE Access, 2018

Topological Kernel Bayesian ARTMAP.

Naoki Masuyama, Chu Kiong Loo, Hisao Ishibuchi, Yusuke Nojima, Yiping Lin

Proceedings of the 2018 World Automation Congress, 2018

Parameters Estimation in Topological Kernel Bayesian ART using Multi-objective Particle Swarm Optimization.

Gin Chong Lee, Chu Kiong Loo, Naoki Masuyama

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Performance Comparison of Multiobjective Evolutionary Algorithms on Problems with Partially Different Properties from Popular Test Suites.

Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Multiobjective Evolutionary Data Mining for Performance Improvement of Evolutionary Multiobjective Optimization.

Naoki Masuyama, Yuki Tanigaki, Yusuke Nojima, Hisao Ishibuchi

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Improving 1by1EA to Handle Various Shapes of Pareto Fronts.

Yiping Liu, Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, Ke Shang

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

A Double-Niched Evolutionary Algorithm and Its Behavior on Polygon-Based Problems.

Yiping Liu, Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, Ke Shang

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Use of Two Reference Points in Hypervolume-Based Evolutionary Multiobjective Optimization Algorithms.

Hisao Ishibuchi, Ryo Imada, Naoki Masuyama, Yusuke Nojima

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Dual-grid model of MOEA/D for evolutionary constrained multiobjective optimization.

Hisao Ishibuchi, Takefumi Fukase, Naoki Masuyama, Yusuke Nojima

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Analysis of evolutionary multi-tasking as an island model.

Ryuichi Hashimoto, Hisao Ishibuchi, Naoki Masuyama, Yusuke Nojima

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Dynamic Specification of a Reference Point for Hypervolume Calculation in SMS-EMOA.

Hisao Ishibuchi, Ryo Imada, Naoki Masuyama, Yusuke Nojima

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

Application of emotion affected associative memory based on mood congruency effects for a humanoid.

Naoki Masuyama, Md. Nazrul Islam, Manjeevan Seera, Chu Kiong Loo

Neural Comput. Appl., 2017

2016

Growing Neural Gas with Correntropy Induced Metric.

Naoki Masuyama, Chu Kiong Loo

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Multi-Channel Bayesian ART for robot fusion perception.

Wei Hong Chin, Chu Kiong Loo, Naoki Masuyama

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

An Iterative Incremental Learning Algorithm for Complex-Valued Hopfield Associative Memory.

Naoki Masuyama, Chu Kiong Loo

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015

Empathic Interaction Using the Computational Emotion Model.

Zeeshan Rasool, Naoki Masuyama, Md. Nazrul Islam, Chu Kiong Loo

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Robotic emotional model with personality factors based on Pleasant-Arousal scaling model.

Naoki Masuyama, Chu Kiong Loo

Proceedings of the 24th IEEE International Symposium on Robot and Human Interactive Communication, 2015

Quantum-Inspired Complex-Valued Multidirectional Associative Memory.

Naoki Masuyama, Chu Kiong Loo

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Quantum-Inspired Bidirectional Associative Memory for Human-Robot Communication.

Naoki Masuyama, Chu Kiong Loo, Naoyuki Kubota

Int. J. Humanoid Robotics, 2014

Affective communication robot partners using associative memory with mood congruency effects.

Naoki Masuyama, Md. Nazrul Islam, Chu Kiong Loo

Proceedings of the 2014 IEEE Symposium on Robotic Intelligence in Informationally Structured Space, 2014

Quantum-inspired multidirectional associative memory for human-robot interaction system.

Naoki Masuyama, Chu Kiong Loo

Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2013

Human-Robot Interaction System with Quantum-Inspired Bidirectional Associative Memory.

Naoki Masuyama, Chu Kiong Loo, Naoyuki Kubota

Proceedings of the Second International Conference on Robot, Vision and Signal Processing, 2013

2012

Computational Intelligence for Human Interactive Communication of Robot Partners.

Naoki Masuyama, Chee Seng Chan, Naoyuki Kubota, Jinseok Woo

Proceedings of the PRICAI 2012: Trends in Artificial Intelligence, 2012