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Mika Sato-Ilic
Mika Sato
2010 – today
- 2013
[j8]Chee Peng Lim, Canicious Abeynayake, Mika Sato-Ilic, Lakhmi C. Jain: Special issue: Computational intelligence models for image processing and information reasoning. Journal of Intelligent and Fuzzy Systems 24(2): 199-200 (2013)- 2012
- [j7]Tomoyuki Kuwata, Mika Sato-Ilic, Lakhmi C. Jain: A learning based self-organized additive fuzzy clustering method and its application for EEG data. KES Journal 16(1): 69-78 (2012)
- [j6]Tetsuaki Kawase, Atsuko Maki, Akitake Kanno, Nobukazu Nakasato, Mika Sato, Toshimitsu Kobayashi: Contralateral white noise attenuates 40-Hz auditory steady-state fields but not N100m in auditory evoked fields. NeuroImage 59(2): 1037-1042 (2012)
- [j5]
- [j4]Ryunosuke Chiba, Mika Sato-Ilic: Analysis of Web Survey Data based on Similarity of Fuzzy Clusters. Procedia CS 12: 224-229 (2012)
- [j3]
- [c15]Mika Sato-Ilic: Two Covariances Harnessing Fuzzy Clustering Based PCA for Discrimination of Microarray Data. CIBB 2012: 158-172
- [c14]Mika Sato-Ilic: Structural classification based correlation and its application to principal component analysis for high-dimension low-sample size data. FUZZ-IEEE 2012: 1-8
- 2011
- [j2]
- [c13]Mika Sato-Ilic: Generalized operators and its application to a nonlinear fuzzy clustering model. CIBCB 2011: 69-75
- 2010
- [c12]Mika Sato-Ilic: An adaptive cluster-target covariance based principal component analysis for interval-valued data. FUZZ-IEEE 2010: 1-8
2000 – 2009
- 2009
- [c11]Mika Sato-Ilic, Shota Ito, Shota Takahashi: Generalized kernel fuzzy clustering model. FUZZ-IEEE 2009: 421-426
- 2008
- [e2]Lakhmi C. Jain, Mika Sato-Ilic, Maria Virvou, George A. Tsihrintzis, Valentina Emilia Balas, Canicious Abeynayake (Eds.): Computational Intelligence Paradigms, Innovative Applications. Studies in Computational Intelligence 137, Springer 2008, ISBN 978-3-540-79473-8
- [c10]
- [p1]Mika Sato-Ilic: Fuzzy Blocking Regression Models. Computational Intelligence Paradigms 2008: 195-217
- 2007
- [e1]Javaan S. Chahl, Lakhmi C. Jain, Akiko Mizutani, Mika Sato-Ilic (Eds.): Innovations in Intelligent Machines - 1. Studies in Computational Intelligence 70, Springer 2007, ISBN 978-3-540-72695-1
- [c9]Mika Sato-Ilic, Lakhmi C. Jain: Asymmetric Clustering Based on Self-Similarity. IIH-MSP 2007: 361-364
- [c8]
- [c7]
- 2006
- [b2]Mika Sato-Ilic, Lakhmi C. Jain: Innovations in Fuzzy Clustering - Theory and Applications. Studies in Fuzziness and Soft Computing 205, Springer 2006, ISBN 978-3-540-34356-1, pp. 1-145
- [c6]
- [c5]
- 2004
- [c4]Mika Sato-Ilic: Fuzzy clustering based weighted principal component analysis for interval-valued data considering uniqueness of clusters. SMC (3) 2004: 2297-2302
- 2003
- [c3]Mika Sato-Ilic: Weighted principal component analysis for interval-valued data based on fuzzy clustering. SMC 2003: 4476-4482
- 2000
- [c2]Mika Sato-Ilic: Classification Based on Relational Fuzzy C-Means for 3-Way Data. ICEIS 2000: 217-221
1990 – 1999
- 1999
- [j1]
- 1997
- [b1]Mika Sato, Yoshiharu Sato, Lakhmi C. Jain: Fuzzy clustering models and applications. Studies in Fuzziness and Soft Computing 9, Springer 1997, ISBN 978-3-7908-1026-4, pp. I-IX, 1-122
- 1995
- [c1]Mika Sato, Y. Sato, Lakhmi C. Jain: General fuzzy clustering model and neural networks. Electronic Technology Directions 1995: 104-112
Coauthor Index
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last updated on 2013-06-02 22:13 CEST by the dblp team