Seiki Ubukata - RankMe

92 papers A* 1B 13C 1Misc 4Journal 20Unranked 52

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Local PCA Model Induced from Linear Fuzzy Clustering with Cluster Separation. IUKM (1) Katsuhiro Honda, Daichi Machida, Seiki Ubukata, Akira Notsu
2025	B	`conf`	Comparative Study on Influences of False Negative Ratings in Collaborative Filtering with Fuzzy Co-Clustering. KES Katsuhiro Honda, Jun-Seo Lee, Seiki Ubukata, Akira Notsu
2025	B	`conf`	Online Learning Approach for Rough Set C-Means Clustering Using Nodes Approximating the Data Distribution. IJCNN Seiki Ubukata, Ryoga Hanafusa, Katsuhiro Honda
2024	—	`conf`	Extension of Fuzzy c-Lines Considering Compactness and Separation of Clusters. SCIS/ISIS Katsuhiro Honda, Daichi Machida, Seiki Ubukata, Akira Notsu
2024	B	`conf`	FCM-Induced Switching Reinforcement Learning for Collaborative Learning. IJCNN Katsuhiro Honda, Taimu Yaotome, Seiki Ubukata, Akira Notsu
2024	Misc	`conf`	Federated Rough C-Means Clustering and Its Application to Collaborative Filtering. ICMLC Seiki Ubukata, Shuichiro Yamashita, Katsuhiro Honda
2024	Misc	`conf`	Spherical Rough C-Means Clustering and Its Application to Collaborative Filtering. ICMLC Seiki Ubukata, Daiki Io, Katsuhiro Honda
2024	—	`conf`	Utilization of Genre Information in Collaborative Filtering by Three-mode Fuzzy Co-Clustering. SCIS/ISIS Katsuhiro Honda, Haruto Miwa, Seiki Ubukata, Akira Notsu
2023	J	`jnl`	A comparative study on effects of some exclusive conditions in fuzzy co-clustering for collaborative filtering. J. Ambient Intell. Humaniz. Comput. Katsuhiro Honda, Seiki Ubukata, Akira Notsu
2023	—	`conf`	Collaborative Filtering Based on Probabilistic Rough Set C-Means Clustering. IUKM (2) Seiki Ubukata, Kazuma Ehara
2023	—	`conf`	Collaborative Filtering Based on Rough C-Means Clustering with Missing Value Processing. IUKM (2) Seiki Ubukata, Kazushi Futakuchi
2023	—	`conf`	FCM-Induced Switching Fuzzy Factorization Machine for Collaborative Filtering. FUZZ Rikuto Daido, Katsuhiro Honda, Seiki Ubukata, Akira Notsu
2023	—	`conf`	Handling of Component-Wise Noise in ANFIS Induced by Ellipsoidal Fuzzy Clustering. FUZZ Katsuhiro Honda, Ryuta Kurahashi, Seiki Ubukata, Akira Notsu
2022	—	`conf`	A Comparative Study on Utilization of Semantic Information in Fuzzy Co-clustering. IUKM Yusuke Takahata, Katsuhiro Honda, Seiki Ubukata
2022	B	`conf`	A Noise Clustering-induced Robust Adaptive Network-based Fuzzy Inference System for Classification. IJCNN Katsuhiro Honda, Koki Kitamori, Seiki Ubukata, Akira Notsu
2022	—	`conf`	Adaptive Online Rough C-Means Clustering and Its Application to Collaborative Filtering. SSCI Seiki Ubukata, Tomohiro Kawakami, Katsuhiro Honda
2022	—	`conf`	Basic Consideration of Collaborative Filtering Based on Rough Co-clustering Induced by Multinomial Mixture Models. SCIS/ISIS Seiki Ubukata, Kenryu Mouri, Katsuhiro Honda
2022	—	`conf`	Fuzzy c-Lines for Vertically Distributed Database with Missing Values. SCIS/ISIS Kohei Kunisawa, Katsuhiro Honda, Seiki Ubukata, Akira Notsu
2022	—	`conf`	Handling of Missing Values in FCM Clustering-based ANFIS with Partial Distance Strategy. SCIS/ISIS Katsuhiro Honda, Satoshi Hyakutake, Seiki Ubukata, Akira Notsu
2022	—	`ed.`	Integrated Uncertainty in Knowledge Modelling and Decision Making - 9th International Symposium, IUKM 2022, Ishikawa, Japan, March 18-19, 2022, Proceedings IUKM Katsuhiro Honda, Tomoe Entani, Seiki Ubukata, Van-Nam Huynh, Masahiro Inuiguchi
2022	—	`conf`	Noise Fuzzy Clustering-Based Robust Non-negative Matrix Factorization with I-divergence Criterion. IUKM Akira Okabe, Katsuhiro Honda, Seiki Ubukata
2021	B	`conf`	Fuzzy KES Katsuhiro Honda, Kohei Kunisawa, Seiki Ubukata, Akira Notsu
2021	—	`conf`	Fuzzy Clustering-based Switching Non-negative Matrix Factorization and Its Application to Environmental Data Analysis. IFSA/EUSFLAT/AGOP Katsuhiro Honda, T. Furukawa, Seiki Ubukata, Akira Notsu
2021	—	`conf`	Fuzzy-Possibilistic Clustering for Categorical Multivariate Data. SICE Katsuhiro Honda, Kosuke Hayashi, Seiki Ubukata, Akira Notsu
2021	J	`jnl`	Objective function-based rough membership C-means clustering. Inf. Sci. Seiki Ubukata, Akira Notsu, Katsuhiro Honda
2021	J	`jnl`	Three-Mode Fuzzy Co-Clustering Based on Probabilistic Concept and Comparison with FCM-Type Algorithms. J. Adv. Comput. Intell. Intell. Informatics Katsuhiro Honda, Issei Hayashi, Seiki Ubukata, Akira Notsu
2020	A*	`conf`	A Comparative Study on Three-mode Fuzzy Co-clustering Based on Co-occurrence Aggregation Criteria. CcS Katsuhiro Honda, Issei Hayashi, Seiki Ubukata, Akira Notsu
2020	J	`jnl`	A Heuristic-Based Model for MMMs-Induced Fuzzy Co-Clustering with Dual Exclusive Partition. J. Adv. Comput. Intell. Intell. Informatics Katsuhiro Honda, Yoshiki Hakui, Seiki Ubukata, Akira Notsu
2020	B	`conf`	A Noise Rejection Mechanism for pLSA-induced Fuzzy Co-clustering. FUZZ-IEEE Katsuhiro Honda, Keita Hoshii, Seiki Ubukata, Akira Notsu
2020	—	`conf`	Basic Consideration of Co-Clustering Based on Rough Set Theory. IUKM Seiki Ubukata, Narihira Nodake, Akira Notsu, Katsuhiro Honda
2020	—	`conf`	Basic Consideration of Collaborative Filtering Based on Rough C-Means Clustering. SCIS/ISIS Seiki Ubukata, Shu Takahashi, Akira Notsu, Katsuhiro Honda
2020	—	`conf`	Basic Consideration of Rough C-Medoids Clustering with Minkowski Distance. SCIS/ISIS Seiki Ubukata, Atsushi Sugimoto, Akira Notsu, Katsuhiro Honda
2020	J	`jnl`	Noise Rejection Approaches for Various Rough Set-Based J. Adv. Comput. Intell. Intell. Informatics Seiki Ubukata, Sho Sekiya, Akira Notsu, Katsuhiro Honda
2020	J	`jnl`	Online state space generation by a growing self-organizing map and differential learning for reinforcement learning. Appl. Soft Comput. Akira Notsu, Koji Yasuda, Seiki Ubukata, Katsuhiro Honda
2020	B	`conf`	Proposal of Adaptive Randomness in Differential Evolution. CEC Junya Tsubamoto, Akira Notsu, Seiki Ubukata, Katsuhiro Honda
2020	—	`conf`	Randomness Selection in Differential Evolution Using Thompson Sampling. SCIS/ISIS Akira Notsu, Junya Tsubamoto, Yuichi Miyahira, Seiki Ubukata, Katsuhiro Honda
2019	—	`conf`	A Comparative Study on Questionnaire Design for Categorization Based on Fuzzy Co-clustering Concept and Multi-view Possibilistic Partition. iFUZZY Ruixin Yang, Katsuhiro Honda, Seiki Ubukata, Akira Notsu
2019	J	`jnl`	A unified approach for cluster-wise and general noise rejection approaches for k-means clustering. PeerJ Comput. Sci. Seiki Ubukata
2019	—	`conf`	Comparison of Gradient Descent Methods in Online Fuzzy Co-clustering. iFUZZY Keiko Kida, Seiki Ubukata, Akira Notsu, Katsuhiro Honda
2019	J	`jnl`	Designation of Candidate Solutions in Differential Evolution Based on Bandit Algorithm and its Evaluation. J. Adv. Comput. Intell. Intell. Informatics Masaya Sakakibara, Akira Notsu, Seiki Ubukata, Katsuhiro Honda
2019	—	`conf`	Effects of Semi-supervised Learning on Rough Membership C- Means Clustering. iFUZZY Takeaki Shimizu, Seiki Ubukata, Akira Notsu, Katsuhiro Honda
2019	—	`conf`	Fuzzy Co-clustering for Categorization of Subjects in Questionnaire Considering Responsibility of Each Question. IUKM Katsuhiro Honda, Ruixin Yang, Seiki Ubukata, Akira Notsu
2019	—	`conf`	Fuzzy c-Regression Models with Cluster Characteristics Clarification. iFUZZY Shinpei Nasada, Katsuhiro Honda, Seiki Ubukata, Akira Notsu
2019	—	`conf`	Robust Non-negative Matrix Factorization Based on Noise Fuzzy Clustering Mechanism. AICCC Masaaki Ueno, Katsuhiro Honda, Seiki Ubukata, Akira Notsu
2018	—	`conf`	Automatic Estimation of Cluster Number in Fuzzy Co-Clustering Based on Competition and Elimination of Clusters. SCIS&ISIS Seiki Ubukata, Kazuki Yanagisawa, Akira Notsu, Katsuhiro Honda
2018	—	`conf`	Basic Consideration of Online and Mini-Batch Algorithms for MMMs-induced Fuzzy Co-clustering. iFUZZY Seiki Ubukata, Akira Notsu, Keiko Kida, Katsuhiro Honda
2018	J	`jnl`	Characteristics of Rough Set J. Adv. Comput. Intell. Intell. Informatics Seiki Ubukata, Keisuke Umado, Akira Notsu, Katsuhiro Honda
2018	J	`jnl`	Deterministic annealing process for pLSA-induced fuzzy co-clustering and cluster splitting characteristics. Int. J. Approx. Reason. Takafumi Goshima, Katsuhiro Honda, Seiki Ubukata, Akira Notsu
2018	—	`conf`	Effects of Semi-supervised Learning on Rough Set-Based C-Means Clustering. iFUZZY Seiki Ubukata, Takeaki Shimizu, Akira Notsu, Katsuhiro Honda
2018	J	`jnl`	MMMs-Induced Possibilistic Fuzzy Co-Clustering and its Characteristics. J. Adv. Comput. Intell. Intell. Informatics Seiki Ubukata, Katsuya Koike, Akira Notsu, Katsuhiro Honda
2018	B	`conf`	Optimization of Learning Cycles in Online Reinforcement Learning Systems. SMC Akira Notsu, Koji Yasuda, Seiki Ubukata, Katsuhiro Honda
2018	B	`conf`	Privacy Preserving Collaborative Fuzzy Co-clustering of Three-Mode Cooccurrence Data. MDAI Katsuhiro Honda, Shotaro Matsuzaki, Seiki Ubukata, Akira Notsu
2018	J	`jnl`	Rough Set-Based Clustering Utilizing Probabilistic Memberships. J. Adv. Comput. Intell. Intell. Informatics Seiki Ubukata, Hiroki Kato, Akira Notsu, Katsuhiro Honda
2018	—	`conf`	Setting of Candidate Solutions Considering Confidence Intervals in Differential Evolution. iFUZZY Akira Notsu, Masaya Sakakibara, Seiki Ubukata, Katsuhiro Honda
2018	J	`jnl`	Visual Co-Cluster Assessment with Intuitive Cluster Validation Through Cooccurrence-Sensitive Ordering. J. Adv. Comput. Intell. Intell. Informatics Katsuhiro Honda, Takuya Sako, Seiki Ubukata, Akira Notsu
2017	B	`conf`	A fuzzy co-clustering model for three-modes relational cooccurrence data. FUZZ-IEEE Katsuhiro Honda, Yurina Suzuki, Mio Nishioka, Seiki Ubukata, Akira Notsu
2017	—	`conf`	A novel approach to noise clustering in multivariate fuzzy c-Means. IFSA-SCIS Katsuhiro Honda, Seiki Ubukata, Akira Notsu
2017	J	`jnl`	FCM-Type Fuzzy Coclustering for Three-Mode Cooccurrence Data: 3FCCM and 3Fuzzy CoDoK. Adv. Fuzzy Syst. Katsuhiro Honda, Yurina Suzuki, Seiki Ubukata, Akira Notsu
2017	J	`jnl`	Noise Rejection in MMMs-Induced Fuzzy Co-Clustering. J. Adv. Comput. Intell. Intell. Informatics Katsuhiro Honda, Nami Yamamoto, Seiki Ubukata, Akira Notsu
2017	B	`conf`	Noise rejection schemes for FCM-type co-clustering based on uniform noise distribution. FUZZ-IEEE Nami Yamamoto, Katsuhiro Honda, Seiki Ubukata, Akira Notsu
2017	—	`conf`	Possibilistic co-clustering based on extension of noise rejection scheme in FCCMM. IFSA-SCIS Seiki Ubukata, Katsuya Koike, Akira Notsu, Katsuhiro Honda
2017	—	`conf`	Visual assessment of co-cluster structure through cooccurrence-sensitive ordering. IFSA-SCIS Katsuhiro Honda, Takuya Sako, Seiki Ubukata, Akira Notsu
2016	—	`conf`	A Noise Fuzzy Co-Clustering Scheme in MMMs-Induced Clustering. SCIS&ISIS Katsuhiro Honda, Nami Yamamoto, Seiki Ubukata, Akira Notsu
2016	J	`jnl`	A Semi-Supervised Framework for MMMs-Induced Fuzzy Co-Clustering with Virtual Samples. Adv. Fuzzy Syst. Daiji Tanaka, Katsuhiro Honda, Seiki Ubukata, Akira Notsu
2016	—	`conf`	A Study on Recommendation Ability in Collaborative Filtering by Fuzzy Co-Clustering with Exclusive Item Partition. SCIS&ISIS Takaya Nakano, Katsuhiro Honda, Seiki Ubukata, Akira Notsu
2016	B	`conf`	A fuzzy co-clustering interpretation of probabilistic latent semantic analysis. FUZZ-IEEE Katsuhiro Honda, Takafumi Goshima, Seiki Ubukata, Akira Notsu
2016	—	`conf`	Application of the UCT Algorithm for Noisy Optimization Problems. SCIS&ISIS Akira Notsu, Satoshi Kane, Seiki Ubukata, Katsuhiro Honda
2016	—	`conf`	Cluster Validation in Multinomial Mixtures-Induced Fuzzy Co-Clustering. SCIS&ISIS Katsuhiro Honda, Yurina Suzuki, Seiki Ubukata, Akira Notsu
2016	—	`conf`	Exclusive Item Partition with Fuzziness Tuning in MMMs-Induced Fuzzy Co-clustering. IUKM Takaya Nakano, Katsuhiro Honda, Seiki Ubukata, Akira Notsu
2016	—	`conf`	Fuzzy DA Clustering-Based Improvement of Probabilistic Latent Semantic Analysis. IUKM Takafumi Goshima, Katsuhiro Honda, Seiki Ubukata, Akira Notsu
2016	B	`conf`	MMMs-induced k-member co-clustering for k-anonymization of cooccurrence information. IJCNN Katsuhiro Honda, Hikaru Sakamoto, Seiki Ubukata, Akira Notsu
2016	—	`conf`	The Rough Membership k-Means Clustering. IUKM Seiki Ubukata, Akira Notsu, Katsuhiro Honda
2016	—	`conf`	The Rough Set k-Means Clustering. SCIS&ISIS Seiki Ubukata, Akira Notsu, Katsuhiro Honda
2016	J	`jnl`	Visualization of Learning Process in "State and Action" Space Using Self-Organizing Maps. J. Adv. Comput. Intell. Intell. Informatics Akira Notsu, Yuichi Hattori, Seiki Ubukata, Katsuhiro Honda
2015	—	`conf`	A Deterministic Clustering Framework in MMMs-Induced Fuzzy Co-clustering. IUKM Shunnya Oshio, Katsuhiro Honda, Seiki Ubukata, Akira Notsu
2015	—	`conf`	A study on fuzzy clustering-based k-anonymization for privacy preserving crowd movement analysis with face recognition. SoCPaR Katsuhiro Honda, Masahiro Omori, Seiki Ubukata, Akira Notsu
2015	—	`conf`	A study on fuzzy co-clustering with partial supervision and virtual samples. TAAI Daiji Tanaka, Katsuhiro Honda, Seiki Ubukata, Akira Notsu
2015	—	`conf`	An Ensemble Learning Approach Based on Missing-Valued Tables. RSFDGrC Seiki Ubukata, Taro Miyazaki, Akira Notsu, Katsuhiro Honda, Masahiro Inuiguchi
2015	—	`conf`	An Ensemble Learning Approach Based on Rough Set Preserving the Qualities of Approximations. IUKM Seiki Ubukata, Taro Miyazaki, Akira Notsu, Katsuhiro Honda, Masahiro Inuiguchi
2015	—	`conf`	FCM-Type Co-clustering Transfer Reinforcement Learning for Non-Markov Processes. IUKM Akira Notsu, Takanori Ueno, Yuichi Hattori, Seiki Ubukata, Katsuhiro Honda
2015	—	`conf`	Fuzzy co-clustering considering site-wise confidence of vertically partitioned cooccurrence data. TAAI Toshiya Oda, Katsuhiro Honda, Seiki Ubukata, Akira Notsu
2015	—	`conf`	Imprecise Rules for Data Privacy. RSKT Masahiro Inuiguchi, Takuya Hamakawa, Seiki Ubukata
2015	—	`conf`	MMMs-Induced Fuzzy Co-clustering with Exclusive Partition Penalty on Selected Items. IUKM Takaya Nakano, Katsuhiro Honda, Seiki Ubukata, Akira Notsu
2015	J	`jnl`	Partially Exclusive Item Partition in MMMs-Induced Fuzzy Co-Clustering and its Effects in Collaborative Filtering. J. Adv. Comput. Intell. Intell. Informatics Katsuhiro Honda, Takaya Nakano, Chi-Hyon Oh, Seiki Ubukata, Akira Notsu
2015	C	`conf`	Performance Investigation of UCB Policy in Q-learning. ICMLA Koki Saito, Akira Notsu, Seiki Ubukata, Katsuhiro Honda
2015	—	`conf`	Proposal of Grid Area Search with UCB for Discrete Optimization Problem. IUKM Akira Notsu, Koki Saito, Yuhumi Nohara, Seiki Ubukata, Katsuhiro Honda
2014	J	`jnl`	Variable Neighborhood Model for Agent Control Introducing Accessibility Relations Between Agents with Linear Temporal Logic. J. Adv. Comput. Intell. Intell. Informatics Seiki Ubukata, Tetsuya Murai, Yasuo Kudo, Seiki Akama
2011	Misc	`conf`	Agents' KANSEI expression based on variable neighborhood models. GrC Seiki Ubukata, Tetsuya Murai, Yasuo Kudo
2011	J	`jnl`	Autonomous agent control based on variable neighbourhoods. Int. J. Reason. based Intell. Syst. Seiki Ubukata, Yasuo Kudo, Tetsuya Murai
2010	Misc	`conf`	A Multi-agent System Based on Variable Neighborhood Model. GrC Seiki Ubukata, Yasuo Kudo, Tetsuya Murai
2010	—	`conf`	Granularity and Approximation in Sequences, Multisets, and Sets in the Framework of Kripke Semantics. IUM Tetsuya Murai, Seiki Ubukata, Yasuo Kudo, Seiki Akama, Sadaaki Miyamoto
2009	—	`conf`	An Agent Control Method Based on Variable Neighborhoods. KES (2) Seiki Ubukata, Yasuo Kudo, Tetsuya Murai