Naoki Masuyama

发表

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

Hisao Ishibuchi, Yusuke Nojima, Yiping Liu, 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).

Quantum-Inspired Bidirectional Associative Memory for Human-Robot Communication

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

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

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

Multi-label Classification Based on Adaptive Resonance Theory

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

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).

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).

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

Hisao Ishibuchi, Yusuke Nojima, Yiping Liu, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

Diagnosing Metabolic Syndrome Using Genetically Optimised Bayesian ARTMAP

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

Growing Neural Gas with Correntropy Induced Metric

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

Topological Clustering via Adaptive Resonance Theory With Information Theoretic Learning

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

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

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

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

Chu Kiong Loo, Naoki Masuyama, Gin Chong Lee, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Multi-Channel Bayesian ART for robot fusion perception

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

Kernel Bayesian ART and ARTMAP

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

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).

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).

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.

Divisive Hierarchical Clustering Based on Adaptive Resonance Theory

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

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

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2020 .

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).

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.

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).

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

Naoyuki Kubota, Chu Kiong Loo, Naoki Masuyama, 2013, 2013 Second International Conference on Robot, Vision and Signal Processing.

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).

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).

Quantum-Inspired Complex-Valued Multidirectional Associative Memory

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

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.

Recurrent Kernel Extreme Reservoir Machine for Time Series Prediction

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

A Kernel Bayesian Adaptive Resonance Theory with A Topological Structure

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

Improving 1by1EA to Handle Various Shapes of Pareto Fronts

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

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

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2020 .

Constrained multiobjective distance minimization problems

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

Topological Kernel Bayesian ARTMAP

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

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

Chu Kiong Loo, Naoki Masuyama, 2016, ICONIP.

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

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

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

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

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).

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

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

Empathic Interaction Using the Computational Emotion Model

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

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

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

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).

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

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

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

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

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.

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

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

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).

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

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

Analysis of evolutionary multi-tasking as an island model

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

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

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

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.

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.

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

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2021 .

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

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2022 .

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).

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

Yusuke Nojima, Naoki Masuyama, Victor Villin, 2021, 2021 IEEE Symposium Series on Computational Intelligence (SSCI).

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

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2021 .

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

Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, 2021 .