Computational Intelligence for Human Interactive Communication of Robot Partners. - Naoki Masuyama; Chee Seng Chan; Naoyuki Kubota; Jinseok Woo (PRICAI, 2012)

Human-Robot Interaction System with Quantum-Inspired Bidirectional Associative Memory. - Naoki Masuyama; Chu Kiong Loo; Naoyuki Kubota (RVSP, 2013)

Quantum-inspired multidirectional associative memory for human-robot interaction system. - Naoki Masuyama; Chu Kiong Loo (FUZZ-IEEE, 2014)

Affective communication robot partners using associative memory with mood congruency effects. - Naoki Masuyama; Md. Nazrul Islam; Chu Kiong Loo (RiiSS, 2014)

Quantum-Inspired Bidirectional Associative Memory for Human-Robot Communication. - Naoki Masuyama; Chu Kiong Loo; Naoyuki Kubota (Int. J. Humanoid Robotics, 2014)

Quantum-Inspired Complex-Valued Multidirectional Associative Memory. - Naoki Masuyama; Chu Kiong Loo (IJCNN, 2015)

Robotic emotional model with personality factors based on Pleasant-Arousal scaling model. - Naoki Masuyama; Chu Kiong Loo (RO-MAN, 2015)

Empathic Interaction Using the Computational Emotion Model. - Zeeshan Rasool; Naoki Masuyama; Md. Nazrul Islam; Chu Kiong Loo (SSCI, 2015)

An Iterative Incremental Learning Algorithm for Complex-Valued Hopfield Associative Memory. - Naoki Masuyama; Chu Kiong Loo (ICONIP (4), 2016)

Multi-Channel Bayesian ART for robot fusion perception. - Wei Hong Chin; Chu Kiong Loo; Naoki Masuyama (SSCI, 2016)

Growing Neural Gas with Correntropy Induced Metric. - Naoki Masuyama; Chu Kiong Loo (SSCI, 2016)

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)

Dynamic Specification of a Reference Point for Hypervolume Calculation in SMS-EMOA. - Hisao Ishibuchi; Ryo Imada; Naoki Masuyama; Yusuke Nojima (CEC, 2018)

Analysis of evolutionary multi-tasking as an island model. - Ryuichi Hashimoto; Hisao Ishibuchi; Naoki Masuyama; Yusuke Nojima (GECCO (Companion), 2018)

Dual-grid model of MOEA/D for evolutionary constrained multiobjective optimization. - Hisao Ishibuchi; Takefumi Fukase; Naoki Masuyama; Yusuke Nojima (GECCO, 2018)

Use of Two Reference Points in Hypervolume-Based Evolutionary Multiobjective Optimization Algorithms. - Hisao Ishibuchi; Ryo Imada; Naoki Masuyama; Yusuke Nojima (PPSN (1), 2018)

A Double-Niched Evolutionary Algorithm and Its Behavior on Polygon-Based Problems. - Yiping Liu; Hisao Ishibuchi; Yusuke Nojima; Naoki Masuyama; Ke Shang (PPSN (1), 2018)

Improving 1by1EA to Handle Various Shapes of Pareto Fronts. - Yiping Liu; Hisao Ishibuchi; Yusuke Nojima; Naoki Masuyama; Ke Shang (PPSN (1), 2018)

Multiobjective Evolutionary Data Mining for Performance Improvement of Evolutionary Multiobjective Optimization. - Naoki Masuyama; Yuki Tanigaki; Yusuke Nojima; Hisao Ishibuchi (SMC, 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 (SMC, 2018)

Parameters Estimation in Topological Kernel Bayesian ART using Multi-objective Particle Swarm Optimization. - Gin Chong Lee; Chu Kiong Loo; Naoki Masuyama (SSCI, 2018)

Topological Kernel Bayesian ARTMAP. - Naoki Masuyama; Chu Kiong Loo; Hisao Ishibuchi; Yusuke Nojima; Yiping Lin (WAC, 2018)

Recurrent Kernel Extreme Reservoir Machine for Time Series Prediction. - Zongying Liu; Chu Kiong Loo; Naoki Masuyama; Kitsuchart Pasupa (IEEE Access, 2018)

Personality affected robotic emotional model with associative memory for human-robot interaction. - Naoki Masuyama; Chu Kiong Loo; Manjeevan Seera (Neurocomputing, 2018)

Kernel Bayesian ART and ARTMAP. - Naoki Masuyama; Chu Kiong Loo; Farhan Dawood (Neural Networks, 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)

Two-Layered Weight Vector Specification in Decomposition-Based Multi-Objective Algorithms for Many-Objective Optimization Problems. - Hisao Ishibuchi; Ryo Imada; Naoki Masuyama; Yusuke Nojima (CEC, 2019)

Searching for Local Pareto Optimal Solutions: A Case Study on Polygon-Based Problems. - Yiping Liu; Hisao Ishibuchi; Yusuke Nojima; Naoki Masuyama; Yuyan Han (CEC, 2019)

A Multiobjective Test Suite with Hexagon Pareto Fronts and Various Feasible Regions. - Takashi Matsumoto; Naoki Masuyama; Yusuke Nojima; Hisao Ishibuchi (CEC, 2019)

Comparison of Hypervolume, IGD and IGD+ from the Viewpoint of Optimal Distributions of Solutions. - Hisao Ishibuchi; Ryo Imada; Naoki Masuyama; Yusuke Nojima (EMO, 2019)

Constrained multiobjective distance minimization problems. - Yusuke Nojima; Takafumi Fukase; Yiping Liu; Naoki Masuyama; Hisao Ishibuchi (GECCO, 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 (SSCI, 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 (SSCI, 2019)

Fast Topological Adaptive Resonance Theory Based on Correntropy Induced Metric. - Naoki Masuyama; Narito Amako; Yusuke Nojima; Yiping Liu; Chu Kiong Loo; Hisao Ishibuchi (SSCI, 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)

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)

A Kernel Bayesian Adaptive Resonance Theory with A Topological Structure. - Naoki Masuyama; Chu Kiong Loo; Stefan Wermter (Int. J. Neural Syst., 2019)

Divisive Hierarchical Clustering Based on Adaptive Resonance Theory. - Yuna Yamada; Naoki Masuyama; Narito Amako; Yusuke Nojima; Chu Kiong Loo; Hisao Ishibuchi (CcS, 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 (CEC, 2020)

On the Normalization in Evolutionary Multi-Modal Multi-Objective Optimization. - Yiping Liu; Hisao Ishibuchi; Gary G. Yen; Yusuke Nojima; Naoki Masuyama; Yuyan Han (CEC, 2020)

Many-Objective Problems Are Not Always Difficult for Pareto Dominance-Based Evolutionary Algorithms. - Hisao Ishibuchi; Takashi Matsumoto; Naoki Masuyama; Yusuke Nojima (ECAI, 2020)

Multiobjective Fuzzy Genetics-Based Machine Learning for Multi-Label Classification. - Yuichi Omozaki; Naoki Masuyama; Yusuke Nojima; Hisao Ishibuchi (FUZZ-IEEE, 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 (GECCO, 2020)

Multilayer Clustering Based on Adaptive Resonance Theory for Noisy Environments. - Narito Amako; Naoki Masuyama; Chu Kiong Loo; Yusuke Nojima; Yiping Liu; Hisao Ishibuchi (IJCNN, 2020)

Multi-label Classification Based on Adaptive Resonance Theory. - Naoki Masuyama; Yusuke Nojima; Chu Kiong Loo; Hisao Ishibuchi (SSCI, 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)

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)

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 (SMC, 2021)

Effects of Different Optimization Formulations in Evolutionary Reinforcement Learning on Diverse Behavior Generation. - Victor Villin; Naoki Masuyama; Yusuke Nojima (SSCI, 2021)

Analytical Methods to Separately Evaluate Convergence and Diversity for Multi-objective Optimization. - Takato Kinoshita; Naoki Masuyama; Yusuke Nojima; Hisao Ishibuchi (MIC, 2022)

Evolutionary Multi-Objective Multi-Tasking for Fuzzy Genetics-Based Machine Learning in Multi-Label Classification. - Yuichi Omozaki; Naoki Masuyama; Yusuke Nojima; Hisao Ishibuchi (FUZZ-IEEE, 2022)

Adaptive Resonance Theory-based Clustering for Handling Mixed Data. - Naoki Masuyama; Yusuke Nojima; Hisao Ishibuchi; Zongying Liu (IJCNN, 2022)

Search Process Analysis of Multiobjective Evolutionary Algorithms using Convergence-Diversity Diagram. - Takato Kinoshita; Naoki Masuyama; Yusuke Nojima (SCIS/ISIS, 2022)

Effects of Accuracy-based Single-Objective Optimization in Multiobjective Fuzzy Genetics-based Machine Learning. - Takeru Konishi; Naoki Masuyama; Yusuke Nojima (SCIS/ISIS, 2022)

Error-Reject Tradeoff Analysis on Two-Stage Classifier Design with a Reject Option. - Eric Michael Vernon; Naoki Masuyama; Yusuke Nojima (WAC, 2022)

Behavior Analysis of Constrained Multiobjective Evolutionary Algorithms using Scalable Constrained Multi-Modal Distance Minimization Problems. - Maaya Yano; Naoki Masuyama; Yusuke Nojima (WAC, 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)

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)

Fuzzy Classifiers with a Two-Stage Reject Option. - Yusuke Nojima; Koyo Kawano; Hajime Shimahara; Eric Vernon; Naoki Masuyama; Hisao Ishibuchi (FUZZ, 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 (GECCO Companion, 2023)

Adaptive Resonance Theory-Based Topological Clustering with Node Deletion Mechanism for Evolving Stream Data. - Takanori Takebayashi; Naoki Masuyama; Yusukeusuke Nijima (ICMLC, 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)

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)

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)

Multi-Label Classification via Adaptive Resonance Theory-Based Clustering. - Naoki Masuyama; Yusuke Nojima; Chu Kiong Loo; Hisao Ishibuchi (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

A Federated Data-driven Multiobjective Evolutionary Algorithm via Continual Learnable Clustering. - Takato Kinoshita; Naoki Masuyama; Yusuke Nojima (CEC, 2024)

Hierarchical Fuzzy Classifier Design Using a Reject Option. - Rowan Fuerst; Naoki Masuyama; Yusuke Nojima (FUZZ, 2024)

Fairness-aware Classifier Design via Multi-objective Fuzzy Genetics-based Machine Learning. - Takeru Konishi; Naoki Masuyama; Jorge Casillas; Yusuke Nojima (FUZZ, 2024)

Clustering-Based Automatic Codeword Lengths Determination in Self-Supervised Learning. - Takanori Takebayashi; Naoki Masuyama; Yusuke Nojima (ICMLC, 2024)

Importance of Temporal Information in Fish Habitat Assessment Using Multiobjective Fuzzy Genetics-Based Machine Learning. - Yusuke Nojima; Shion Takasaki; Shinji Fukuda; Naoki Masuyama (iFUZZY, 2024)

A Growing Hierarchical Clustering Algorithm via Parameter-free Adaptive Resonance Theory. - Kazuki Tashiro; Naoki Masuyama; Yusuke Nojima (IJCNN, 2024)

A Decomposition-based Constrained Multi-objective Evolutionary Algorithm with Adaptive Weight Adjustment. - Yuki Azuma; Naoki Masuyama; Yusuke Nojima (SCIS/ISIS, 2024)

Enhancing Machine Learning Interpretability Through a Graphical User Interface. - Alexandre K. Tabouret; Eric Michael Vernon; Naoki Masuyama; Yusuke Nojima (SCIS/ISIS, 2024)

Constrained Multi-Modal Multi-Objective Evolutionary Algorithm with Problem Transformation into Two-Objective Subproblems. - Teruhiko Tokusaka; Naoki Masuyama; Yusuke Nojima (SCIS/ISIS, 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)

Adaptive Resonance Theory-Based Global Topological Map Building for an Autonomous Mobile Robot. - Yuichiro Toda; Naoki Masuyama (IEEE Access, 2024)

Integrating White and Black Box Techniques for Interpretable Machine Learning. - Eric Michael Vernon; Naoki Masuyama; Yusuke Nojima (CoRR, 2024)

Neuro-Mimetic Developmental Architecture for Continual Learning Through Self-Organizing Multimodal Perception Coordination. - Farhan Dawood; Naoki Masuyama; Chu Kiong Loo (IEEE Access, 2025)