Seiki Ubukata

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).

Fuzzy DA Clustering-Based Improvement of Probabilistic Latent Semantic Analysis

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2016, IUKM.

Visual Co-Cluster Assessment with Intuitive Cluster Validation Through Cooccurrence-Sensitive Ordering

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2018, J. Adv. Comput. Intell. Intell. Informatics.

FCM-Type Co-clustering Transfer Reinforcement Learning for Non-Markov Processes

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2015, IUKM.

A Semi-Supervised Framework for MMMs-Induced Fuzzy Co-Clustering with Virtual Samples

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2016, Adv. Fuzzy Syst..

Agents' KANSEI expression based on variable neighborhood models

Tetsuya Murai, Yasuo Kudo, Seiki Ubukata, 2011, 2011 IEEE International Conference on Granular Computing.

Rough Set-Based Clustering Utilizing Probabilistic Memberships

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2018, J. Adv. Comput. Intell. Intell. Informatics.

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

Akira Notsu, Seiki Ubukata, Katsuhiro Honda, 2020 .

An Agent Control Method based on Rough-Set-based Granularity

Tetsuya Murai, Yasuo Kudo, Seiki Ubukata, 2008, SOCO 2008.

Exclusive Item Partition with Fuzziness Tuning in MMMs-Induced Fuzzy Co-clustering

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2016, IUKM.

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).

Cluster Validation in Multinomial Mixtures-Induced Fuzzy Co-Clustering

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2016, 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS).

An Ensemble Learning Approach Based on Missing-Valued Tables

Katsuhiro Honda, Taro Miyazaki, Akira Notsu, 2015, RSFDGrC.

MMMs-induced k-member co-clustering for k-anonymization of cooccurrence information

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

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).

A fuzzy co-clustering interpretation of probabilistic latent semantic analysis

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Privacy Preserving Collaborative Fuzzy Co-clustering of Three-Mode Cooccurrence Data

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2018, MDAI.

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

Akira Notsu, Seiki Ubukata, Katsuhiro Honda, 2019 .

Partially Exclusive Item Partition in MMMs-Induced Fuzzy Co-Clustering and its Effects in Collaborative Filtering

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2015, J. Adv. Comput. Intell. Intell. Informatics.

Application of the UCT Algorithm for Noisy Optimization Problems

A privacy-preserving crowd movement analysis by k-member clustering of face images

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2015, 2015 International Conference on Informatics, Electronics & Vision (ICIEV).

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).

A Deterministic Clustering Framework in MMMs-Induced Fuzzy Co-clustering

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2015, IUKM.

An Agent Control Method Based on Variable Neighborhoods

Tetsuya Murai, Yasuo Kudo, Seiki Ubukata, 2009, KES.

Noise Rejection in MMMs-Induced Fuzzy Co-Clustering

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2017, J. Adv. Comput. Intell. Intell. Informatics.

A study on fuzzy co-clustering with partial supervision and virtual samples

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2015, 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI).

Fuzzy Co-clustering for Categorization of Subjects in Questionnaire Considering Responsibility of Each Question

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2019, IUKM.

A unified approach for cluster-wise and general noise rejection approaches for k-means clustering

Seiki Ubukata, S. Ubukata, 2019, PeerJ Comput. Sci..

Proposal of Adaptive Randomness in Differential Evolution

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

Imprecise Rules for Data Privacy

Seiki Ubukata, Masahiro Inuiguchi, Takuya Hamakawa, 2015, RSKT.

A semi-supervised fuzzy co-clustering framework and application to twitter data analysis

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2015, 2015 International Conference on Informatics, Electronics & Vision (ICIEV).

Performance Investigation of UCB Policy in Q-learning

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

A fuzzy co-clustering model for three-modes relational cooccurrence data

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Granularity and Approximation in Sequences, Multisets, and Sets in the Framework of Kripke Semantics

Sadaaki Miyamoto, Tetsuya Murai, Yasuo Kudo, 2010, IUM.

An Ensemble Learning Approach Based on Rough Set Preserving the Qualities of Approximations

Katsuhiro Honda, Taro Miyazaki, Akira Notsu, 2015, 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).

Possibilistic co-clustering based on extension of noise rejection scheme in FCCMM

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2017, 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS).

A study on fuzzy clustering-based k-anonymization for privacy preserving crowd movement analysis with face recognition

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2015, 2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR).

Objective function-based rough membership C-means clustering

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

Beta Distribution Propagating Reinforcement Learning Based on Prospect Theory for the Efficient Exploration and Exploitation

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2017 .

ファジィk-memberクラスタリングによる顔画像匿名化を伴うプライバシー保護群集行動分析;ファジィk-memberクラスタリングによる顔画像匿名化を伴うプライバシー保護群集行動分析;Privacy-preserving Crowd Movement Analysis with Fuzzy k-member Clustering-based Anonymization of Face Images

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2016 .

Deterministic annealing process for pLSA-induced fuzzy co-clustering and cluster splitting characteristics

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2018, Int. J. Approx. Reason..

Development of General-purpose Optimization Methods Based on Bandit Algorithm

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2016 .

Fuzzy co-clustering considering site-wise confidence of vertically partitioned cooccurrence data

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2015, 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI).

Variable Neighborhood Model for Agent Control Introducing Accessibility Relations Between Agents with Linear Temporal Logic

Tetsuya Murai, Yasuo Kudo, Seiki Ubukata, 2014, J. Adv. Comput. Intell. Intell. Informatics.

A Multi-agent System Based on Variable Neighborhood Model

Tetsuya Murai, Yasuo Kudo, Seiki Ubukata, 2010, 2010 IEEE International Conference on Granular Computing.

A Study on Recommendation Ability in Collaborative Filtering by Fuzzy Co-Clustering with Exclusive Item Partition

A Noise Fuzzy Co-Clustering Scheme in MMMs-Induced Clustering

Noise rejection schemes for FCM-type co-clustering based on uniform noise distribution

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

MMMs-Induced Possibilistic Fuzzy Co-Clustering and its Characteristics

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2018, J. Adv. Comput. Intell. Intell. Informatics.

The Rough Membership k-Means Clustering

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2016, IUKM.

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).

Characteristics of Rough Set C-Means Clustering

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2018, J. Adv. Comput. Intell. Intell. Informatics.

Co-cluster Structure Visualization by Spectral Ordering and Its Characteristics

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2018 .

Visual assessment of co-cluster structure through cooccurrence-sensitive ordering

Optimization of Learning Cycles in Online Reinforcement Learning Systems

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

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).

FCM-Type Fuzzy Coclustering for Three-Mode Cooccurrence Data: 3FCCM and 3Fuzzy CoDoK

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2017, Adv. Fuzzy Syst..

The Rough Set k-Means Clustering

A comparative study on effects of some exclusive conditions in fuzzy co-clustering for collaborative filtering

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2018 .

MMMs-Induced Fuzzy Co-clustering with Exclusive Partition Penalty on Selected Items

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2015, IUKM.

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.

A novel approach to noise clustering in multivariate fuzzy c-Means

Visualization of Learning Process in "State and Action" Space Using Self-Organizing Maps

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2016, J. Adv. Comput. Intell. Intell. Informatics.

Basic Consideration of Co-Clustering Based on Rough Set Theory

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

Autonomous agent control based on variable neighbourhoods

Tetsuya Murai, Yasuo Kudo, Seiki Ubukata, 2011, Int. J. Reason. based Intell. Syst..

Proposal of Grid Area Search with UCB for Discrete Optimization Problem

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2015, IUKM.

Three-Mode Fuzzy Co-Clustering Based on Probabilistic Concept and Comparison with FCM-Type Algorithms

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2021, J. Adv. Comput. Intell. Intell. Informatics.

Fuzzy c-Varieties Clustering for Vertically Distributed Datasets

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2021, KES.

Linear Fuzzy Clustering of Distributed Databases Considering Privacy Preservation

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2021 .

Fuzzy-Possibilistic Clustering for Categorical Multivariate Data

Katsuhiro Honda, Akira Notsu, Seiki Ubukata, 2021, 2021 60th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).