フォロー
Seiki Ubukata
Seiki Ubukata
Osaka Metropolitan University
確認したメール アドレス: omu.ac.jp - ホームページ
タイトル
引用先
引用先
A semi-supervised framework for MMMs-induced fuzzy co-clustering with virtual samples
D Tanaka, K Honda, S Ubukata, A Notsu
Advances in Fuzzy Systems 2016, 2016
772016
Objective function-based rough membership C-means clustering
S Ubukata, A Notsu, K Honda
Information Sciences 548, 479-496, 2021
202021
Noise rejection in MMMs-induced fuzzy co-clustering
K Honda, N Yamamoto, S Ubukata, A Notsu
Journal of Advanced Computational Intelligence and Intelligent Informatics …, 2017
192017
General formulation of rough C-means clustering
S Ubukata, A Notsu, K Honda
International Journal of Computer Science and Network Security 17 (9), 29-38, 2017
192017
Characteristics of rough set C-means clustering
S Ubukata, K Umado, A Notsu, K Honda
Journal of Advanced Computational Intelligence and Intelligent Informatics …, 2018
172018
A unified approach for cluster-wise and general noise rejection approaches for k-means clustering
S Ubukata
PeerJ Computer Science 5, e238, 2019
162019
Rough set-based clustering utilizing probabilistic memberships
S Ubukata, H Kato, A Notsu, K Honda
Journal of Advanced Computational Intelligence and Intelligent Informatics …, 2018
162018
Optimization of learning cycles in online reinforcement learning systems
A Notsu, K Yasuda, S Ubukata, K Honda
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018
122018
Deterministic annealing process for pLSA-induced fuzzy co-clustering and cluster splitting characteristics
T Goshima, K Honda, S Ubukata, A Notsu
International Journal of Approximate Reasoning 95, 185-193, 2018
122018
The rough set k-means clustering
S Ubukata, A Notsu, K Honda
2016 Joint 8th International Conference on Soft Computing and Intelligent …, 2016
122016
Partially exclusive item partition in MMMs-induced fuzzy co-clustering and its effects in collaborative filtering
K Honda, T Nakano, CH Oh, S Ubukata, A Notsu
Journal of Advanced Computational Intelligence and Intelligent Informatics …, 2015
122015
A semi-supervised fuzzy co-clustering framework and application to twitter data analysis
K Honda, S Ubukata, A Notsu, N Takahashi, Y Ishikawa
2015 International Conference on Informatics, Electronics & Vision (ICIEV), 1-4, 2015
122015
Imprecise rules for data privacy
M Inuiguchi, T Hamakawa, S Ubukata
Rough Sets and Knowledge Technology: 10th International Conference, RSKT …, 2015
122015
Basic consideration of collaborative filtering based on rough C-means clustering
S Ubukata, S Takahashi, A Notsu, K Honda
2020 Joint 11th International Conference on Soft Computing and Intelligent …, 2020
102020
A study on fuzzy clustering-based k-anonymization for privacy preserving crowd movement analysis with face recognition
K Honda, M Omori, S Ubukata, A Notsu
2015 7th International Conference of Soft Computing and Pattern Recognition …, 2015
102015
An agent control method based on rough-set-based granularity
S Ubukata, Y Kudo, T Murai, Y Sato
SCIS & ISIS 2008, 987-990, 2008
102008
Online state space generation by a growing self-organizing map and differential learning for reinforcement learning
A Notsu, K Yasuda, S Ubukata, K Honda
Applied Soft Computing 97, 106723, 2020
92020
The Rough Membership k-Means Clustering
S Ubukata, A Notsu, K Honda
Integrated Uncertainty in Knowledge Modelling and Decision Making: 5th …, 2016
92016
Performance Investigation of UCB Policy in Q-learning
K Saito, A Notsu, S Ubukata, K Honda
2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015
92015
FCM-type fuzzy coclustering for three-mode cooccurrence data: 3FCCM and 3Fuzzy CoDoK
K Honda, Y Suzuki, S Ubukata, A Notsu
Advances in Fuzzy Systems 2017, 2017
62017
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