Naoki Masuyama

发表

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

Chu Kiong Loo, Naoki Masuyama, C. Loo, 2015, 2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).

Kernel Bayesian ART and ARTMAP

Chu Kiong Loo, Naoki Masuyama, Farhan Dawood, 2018, Neural Networks.

Affective communication robot partners using associative memory with mood congruency effects

Chu Kiong Loo, Naoki Masuyama, Md. Nazrul Islam, 2014, 2014 IEEE Symposium on Robotic Intelligence in Informationally Structured Space (RiiSS).

Reference Vector Adaptation and Mating Selection Strategy via Adaptive Resonance Theory-based Clustering for Many-objective Optimization

H. Ishibuchi, Y. Nojima, Naoki Masuyama, 2022, ArXiv.

Michigan-Style Fuzzy Genetics-Based Machine Learning for Class Imbalance Data

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2021, Journal of Japan Society for Fuzzy Theory and Intelligent Informatics.

Effects of Parent Selection in Inter-Task Crossover on the Search Ability of Evolutionary Multiobjective Multitasking

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2020 .

Extension of Multi-Objective Fuzzy Genetics-Based Machine Learning for Multi-Label Classification to Many-Objective Optimization

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2021 .

Classifier Design Based on Class-Wise Fast Topological CIM-Based Adaptive Resonance Theory

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2021 .

A Decomposition-Based Multi-Modal Multi-Objective Evolutionary Algorithm Transforming to Two-Objective Problems

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2021 .

Reference Vector Adaptation and Mating Selection Strategy via Adaptive Resonance Theory-based Clustering for Many-objective Optimization

H. Ishibuchi, Y. Nojima, Naoki Masuyama, 2022, ArXiv.

Adaptive Resonance Theory-based Topological Clustering with a Divisive Hierarchical Structure Capable of Continual Learning

H. Ishibuchi, Y. Nojima, Naoki Masuyama, 2022, IEEE Access.

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

H. Ishibuchi, Y. Nojima, Naoki Masuyama, 2022, 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Adaptive Resonance Theory-based Clustering for Handling Mixed Data

H. Ishibuchi, Y. Nojima, Naoki Masuyama, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

Composition-Designed Multielement Perovskite Oxides for Oxygen Evolution Catalysis

Naoki Masuyama, H. Ikeno, Shunsuke Yagi, 2022, Chemistry of Materials.

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

Naoki Masuyama, Takato Kinoshita, Yusuke Nojima, 2022, 2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS).

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

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2019, EMO.

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

H. Ishibuchi, Y. Nojima, Naoki Masuyama, 2022, ArXiv.

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

Hisao Ishibuchi, Yusuke Nojima, Chu Kiong Loo, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Divisive Hierarchical Clustering Based on Adaptive Resonance Theory

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2020, 2020 International Symposium on Community-centric Systems (CcS).

Multilayer Clustering Based on Adaptive Resonance Theory for Noisy Environments

Hisao Ishibuchi, Yusuke Nojima, Yiping Liu, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Topological Clustering via Adaptive Resonance Theory With Information Theoretic Learning

Hisao Ishibuchi, Yusuke Nojima, Naoyuki Kubota, 2019, IEEE Access.

A Kernel Bayesian Adaptive Resonance Theory with A Topological Structure

Chu Kiong Loo, Naoki Masuyama, Stefan Wermter, 2019, Int. J. Neural Syst..

Diagnosing Metabolic Syndrome Using Genetically Optimised Bayesian ARTMAP

Kitsuchart Pasupa, Chu Kiong Loo, Naoki Masuyama, 2019, IEEE Access.

Topological Kernel Bayesian ARTMAP

Hisao Ishibuchi, Yusuke Nojima, Chu Kiong Loo, 2018, 2018 World Automation Congress (WAC).

Recurrent Kernel Extreme Reservoir Machine for Time Series Prediction

Kitsuchart Pasupa, Chu Kiong Loo, Naoki Masuyama, 2018, IEEE Access.

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

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2020, GECCO.

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

Hisao Ishibuchi, Yusuke Nojima, Yiping Liu, 2020, IEEE Transactions on Evolutionary Computation.

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

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).

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

Chu Kiong Loo, Naoki Masuyama, Manjeevan Seera, 2018, Neurocomputing.

Analysis of evolutionary multi-tasking as an island model

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2018, GECCO.

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

Hisao Ishibuchi, Yusuke Nojima, Yiping Liu, 2020, IEEE Transactions on Evolutionary Computation.

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

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

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

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2018, PPSN.

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

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2020, 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Multiobjective Evolutionary Data Mining for Performance Improvement of Evolutionary Multiobjective Optimization

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Fuzzy Genetics-Based Machine Learning to Handle Continually Increasing Unknown Classes

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2020 .

Fast Topological Adaptive Resonance Theory Based on Correntropy Induced Metric

Hisao Ishibuchi, Yusuke Nojima, Yiping Liu, 2019, 2019 IEEE Symposium Series on Computational Intelligence (SSCI).

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

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2021, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

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

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

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

Chu Kiong Loo, Naoki Masuyama, Md. Nazrul Islam, 2015, Neural Computing and Applications.

Growing Neural Gas with Correntropy Induced Metric

Chu Kiong Loo, Naoki Masuyama, C. Loo, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

System design optimization with mixed subsystems failure dependencies

Naoki Masuyama, S. Al-Dahidi, M. Mellal, 2022, Reliab. Eng. Syst. Saf..

Empathic Interaction Using the Computational Emotion Model

Chu Kiong Loo, Naoki Masuyama, Md. Nazrul Islam, 2015, 2015 IEEE Symposium Series on Computational Intelligence.

Error-output recurrent multi-layer Kernel Reservoir Network for electricity load time series forecasting

Naoki Masuyama, G. Tahir, Zongying Liu, 2023, Engineering Applications of Artificial Intelligence.

Computational Intelligence for Human Interactive Communication of Robot Partners

Naoyuki Kubota, Naoki Masuyama, Jinseok Woo, 2012, PRICAI.

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

Naoyuki Kubota, Chu Kiong Loo, Naoki Masuyama, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Quantum-Inspired Complex-Valued Multidirectional Associative Memory

Chu Kiong Loo, Naoki Masuyama, C. Loo, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Quantum-Inspired Bidirectional Associative Memory for Human-Robot Communication

Naoyuki Kubota, Chu Kiong Loo, Naoki Masuyama, 2014, Int. J. Humanoid Robotics.

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

Chu Kiong Loo, Naoki Masuyama, C. Loo, 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

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

H. Ishibuchi, Y. Nojima, S. Wermter, 2023, arXiv.org.

Constrained multiobjective distance minimization problems

Hisao Ishibuchi, Yusuke Nojima, Yiping Liu, 2019, GECCO.

Privacy-preserving Continual Federated Clustering via Adaptive Resonance Theory

H. Ishibuchi, Y. Nojima, C. Loo, 2023, ArXiv.

Multiple steps time series prediction by a novel Recurrent Kernel Extreme Learning Machine approach

Kitsuchart Pasupa, Chu Kiong Loo, Naoki Masuyama, 2017, 2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE).

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

H. Ishibuchi, Y. Nojima, Naoki Masuyama, 2022, Applied Sciences.