Katsuhiro Honda

发表

Designation of Candidate Solutions in Differential Evolution Based on Bandit Algorithm and its Evaluation

Akira Notsu, Masaya Sakakibara, Seiki Ubukata, 2019, J. Adv. Comput. Intell. Intell. Informatics.

Online state space generation by a growing self-organizing map and differential learning for reinforcement learning

Akira Notsu, Seiki Ubukata, Katsuhiro Honda, 2020, Appl. Soft Comput..

Basic Consideration of Online and Mini-Batch Algorithms for MMMs-induced Fuzzy Co-clustering

Akira Notsu, Seiki Ubukata, Katsuhiro Honda, 2018, 2018 International Conference on Fuzzy Theory and Its Applications (iFUZZY).

Three-Mode Fuzzy Co-clustering and Collaborative Framework

Katsuhiro Honda, Tin-Chih Toly Chen, 2020 .

Auto-Selection of Cluster Number in MMMs-Induced Fuzzy Co-Clustering

Akira Notsu, Seiki Ubukata, Katsuhiro Honda, 2020 .

Fuzzy c-Regression Models with Cluster Characteristics Clarification

Akira Notsu, Seiki Ubukata, Katsuhiro Honda, 2019, 2019 International Conference on Fuzzy Theory and Its Applications (iFUZZY).

Introduction of Majority Vote of Neighborhood Conditions for Sneak form Reinforcement Learning

Akira Notsu, Katsuhiro Honda, Yuki Tezuka, 2013, KES.

A Comparative Study on Three-mode Fuzzy Co-clustering Based on Co-occurrence Aggregation Criteria

Akira Notsu, Seiki Ubukata, Katsuhiro Honda, 2020, 2020 International Symposium on Community-centric Systems (CcS).

Robust Non-negative Matrix Factorization Based on Noise Fuzzy Clustering Mechanism

Akira Notsu, Seiki Ubukata, Katsuhiro Honda, 2019 .

Editorial: smart technologies for improving the quality of mobile health care

Katsuhiro Honda, Tin-Chih Toly Chen, W Art Chaovalitwongse, 2019, Health care management science.

Fuzzy Clustering and Fuzzy Co-clustering

Katsuhiro Honda, Tin-Chih Toly Chen, 2020 .

DEA based total efficiency evaluation method using the dissatisfaction index

Katsuhiro Honda, Shingo Aoki, Shingo Yamasaki, 2010, SOCO 2010.

Setting of Candidate Solutions Considering Confidence Intervals in Differential Evolution

Akira Notsu, Masaya Sakakibara, Seiki Ubukata, 2018, 2018 International Conference on Fuzzy Theory and Its Applications (iFUZZY).

Effects of Semi-supervised Learning on Rough Set-Based C-Means Clustering

Akira Notsu, Seiki Ubukata, Katsuhiro Honda, 2018, 2018 International Conference on Fuzzy Theory and Its Applications (iFUZZY).

Proposal of Adaptive Randomness in Differential Evolution

Akira Notsu, Seiki Ubukata, Katsuhiro Honda, 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).

SOM-Based Visualization of Potential Technical Solutions with Fuzzy Bag-of-Words Utilizing Multi-view Information

Katsuhiro Honda, Yasushi Nishida, Katsuhiro Honda, 2020, IUKM.

Automatic Estimation of Cluster Number in Fuzzy Co-Clustering Based on Competition and Elimination of Clusters

Akira Notsu, Seiki Ubukata, Katsuhiro Honda, 2018, 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS).

A Noise Rejection Mechanism for pLSA-induced Fuzzy Co-clustering

Akira Notsu, Seiki Ubukata, Katsuhiro Honda, 2020, 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Comparison of Gradient Descent Methods in Online Fuzzy Co-clustering

Akira Notsu, Seiki Ubukata, Katsuhiro Honda, 2019, 2019 International Conference on Fuzzy Theory and Its Applications (iFUZZY).

Objective function-based rough membership C-means clustering

Akira Notsu, Seiki Ubukata, Katsuhiro Honda, 2021, Inf. Sci..

Development of location-based services for recommending departure stations to park and ride users: a note

Katsuhiro Honda, Tin-Chih Toly Chen, Yu-Cheng Wang, 2016 .

Introduction to Fuzzy Collaborative Forecasting Systems

Katsuhiro Honda, Tin-Chih Toly Chen, 2020 .

Visualization of Potential Technical Solutions by SOM and Co-Clustering and its Extension to Multi-View Situation

Katsuhiro Honda, Yasushi Nishida, Katsuhiro Honda, 2020, J. Adv. Comput. Intell. Intell. Informatics.

Effects of Semi-supervised Learning on Rough Membership C- Means Clustering

Akira Notsu, Seiki Ubukata, Katsuhiro Honda, 2019, 2019 International Conference on Fuzzy Theory and Its Applications (iFUZZY).

Noise Rejection Approaches for Various Rough Set-Based C-Means Clustering

Akira Notsu, Seiki Ubukata, Katsuhiro Honda, 2020, J. Adv. Comput. Intell. Intell. Informatics.

A Comparative Study on Questionnaire Design for Categorization Based on Fuzzy Co-clustering Concept and Multi-view Possibilistic Partition

Akira Notsu, Seiki Ubukata, Katsuhiro Honda, 2019, 2019 International Conference on Fuzzy Theory and Its Applications (iFUZZY).

Fuzzy Boundary Between Fuzzy Clustering and Mixture of Probabilistic Distributions

Katsuhiro Honda, 2018 .

Visualization of Potential Technical Solutions by Self-Organizing Maps and Co-Cluster Extraction

Katsuhiro Honda, Yasushi Nishida, 2018, 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS).

Fuzzy Collaborative Forecasting and Clustering: Methodology, System Architecture, and Applications

Katsuhiro Honda, Tin-Chih Toly Chen, 2020 .

A Heuristic-Based Model for MMMs-Induced Fuzzy Co-Clustering with Dual Exclusive Partition

Akira Notsu, Seiki Ubukata, Katsuhiro Honda, 2020, J. Adv. Comput. Intell. Intell. Informatics.

Collaborative Framework for Fuzzy Co-clustering

Katsuhiro Honda, Tin-Chih Toly Chen, 2020 .

Basic Consideration of Co-Clustering Based on Rough Set Theory

Akira Notsu, Seiki Ubukata, Katsuhiro Honda, 2020, IUKM.