ホーム > イリチユ美佳/ Sato-Ilic, Mika

イリチユ美佳

Sato-Ilic, Mika

システム情報系 , 教授
Faculty of Engineering,Information and Systems , Professor

オープンアクセス版の論文は「つくばリポジトリ」で読むことができます。

21. Fuzzy Dissimilarity based Multidimensional Scaling and Its Application to Collaborative Learning Data Mika Sato-Ilic; Peter Ilic
COMPLEX ADAPTIVE SYSTEMS 20: 490 (2013) Semantic Scholar
22. Part IV: Data Science and Analytics. Mika Sato-Ilic
Proceedings of the Complex Adaptive Systems 2013 Conference, Baltimore Marriott Inner Harbor at Camden Yards, Baltimore, Maryland, USA, November 13-15, 2013 420 (2013) Semantic Scholar
23. Special issue: Computational intelligence models for image processing and information reasoning Chee Peng Lim; Canicious Abeynayake; Mika Sato-Ilic; Lakhmi C. Jain
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 24: 199 (2013) Semantic Scholar
24. A Structural Analysis Based on Similarity between Fuzzy Clusters and Its Application to Evaluation Data Ryunosuke Chiba; Toshiaki Furutani; Mika Sato-Ilic
INTELLIGENT DECISION TECHNOLOGIES (IDT'2012), VOL 1 15: 77 (2012)
25. Two Covariances Harnessing Fuzzy Clustering Based PCA for Discrimination of Microarray Data. Mika Sato-Ilic
Computational Intelligence Methods for Bioinformatics and Biostatistics - 9th International Meeting, CIBB 2012, Houston, TX, USA, July 12-14, 2012 Revised Selected Papers 158 (2012) Semantic Scholar
26. On Fuzzy Clustering based Correlation Mika Sato-Ilic
COMPLEX ADAPTIVE SYSTEMS 2012 12: 230 (2012) Semantic Scholar
27. Analysis of Web Survey Data based on Similarity of Fuzzy Clusters Ryunosuke Chiba; Mika Sato-Ilic
COMPLEX ADAPTIVE SYSTEMS 2012 12: 224 (2012) Semantic Scholar
28. Preface to part III adaptive big data analytics Mika Sato-Ilic
Procedia Computer Science 12: 211 (2012) Semantic Scholar
29. Structural Classification based Correlation and its Application to Principal Component Analysis for High-Dimension Low-Sample Size Data Mika Sato-Ilic
2012 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE) 1 (2012) Semantic Scholar
30. A learning based self-organized additive fuzzy clustering method and its application for EEG data Tomoyuki Kuwata; Mika Sato-Ilic; Lakhmi C. Jain
International Journal of Knowledge-Based and Intelligent Engineering Systems 16: 69 (2012) Semantic Scholar
31. Symbolic Clustering with Interval-Valued Data Mika Sato-Ilic
COMPLEX ADAPTIVE SYSTEMS 6: 358 (2011) Semantic Scholar
32. Generalized operators and its application to a nonlinear fuzzy clustering model Mika Sato-Ilic
IEEE SSCI 2011 - Symposium Series on Computational Intelligence - CIBCB 2011: 2011 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology 69 (2011) Semantic Scholar
33. A Cluster-Target Similarity Based Principal Component Analysis for Interval-Valued Data
19th International Conference on Computational Statistics (2010)
34. Dissimilarity Based Principal Component Analysis Using Fuzzy Clustering
Springer-Verlag, Berlin Heidelberg (Germany)Advances in Intelligent and Soft Computing, Integrated Uncertainty Management and Applications 68: (2010)
35. Generalized Kernel Fuzzy Clustering Model Mika Sato-Ilic; Shota Ito; Shota Takahashi
IEEE International Conference on Fuzzy Systems 421 (2009) Semantic Scholar
36. Self-Organized Similarity based Kernel Fuzzy Clustering Model and Its Applications Kuwata Tomoyuki; Sato-Ilic Mika
Proceedings : Fifth International Workshop on Computational Intelligence & Applications 2009: 127 (2009)
37. FUZZY REGRESSION MODELS ON ENTROPY BASED BLOCKING STRUCTURES Mika Sato-Ilic
INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 5: 1475 (2009)
38. Nonlinear Kernel-Based Fuzzy Clustering Model
VEVERDevelopments in Fuzzy Clustering, VEVER (2009)
39. Self-Organized Kernel Fuzzy Clustering Method and Its Evaluation for the Number of Clusters based on Alignment of Similarities
The American Society of Mechanical Engineering (ASME) Press, New York (USA)Intelligent Engineering Systems through Artificial Neural Networks 19: 75 (2009)
40. Fuzzy Clustering based Regression with Attribute Weights
Springer-Verlag, Berlin Heidelberg (Germany)Cooperation in Classification and Data Analysis 71 (2009)

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1. データの類似度と多次元尺度構成法 (第2章), 分かるために分けるクラスター分析 (第3章), サービスサイエンスの事訳 -データサイエンスと数理科学の融合に向けて- イリチュ美佳
筑波大学出版会 2017年9月
2. Fuzzy Data Analysis (Chapter 8), Computational Intelligence - Volume I Mika Sato-Ilic
EOLSS Publications/ United Nations Education, Scientific and Cultural Organization 2015年12月
3. ビジネスデータの線形回帰モデル (第8章), サービスサイエンスことはじめ – 数理モデルとデータ分析によるイノベーション – イリチュ美佳
筑波大学出版会 2014年8月
4. リスクとデータ解析 (第1章), リスク工学の視点とアプローチ - 現代生活に潜むリスクにどう取り組むか - 佐藤美佳
コロナ社 2009年5月
5. Blocking Regression Models (chapter 10), Computational Intelligence Paradigms Mika Sato-Ilic
Springer-Verlag Berlin Heidelberg 2008年6月
6. Computational Intelligence Paradigms
Springer-Verlag Berlin Heidelberg 2008年
7. Advances in Fuzzy Clustering and its Applications, Fuzzy Regression Clustering (Chapter 11), (J. Valente de Oliveira and W. Pedrycz eds.) Mika Sato-Ilic
John Wiley & Sons 2007年5月
8. Innovations in Intelligent Machines 1
Springer-Verlag Berlin Heidelberg 2007年
9. Fuzzy Clustering based on Weighted Principal Component Analysis for Interval-Valued Data
Grant-in-Aid for Scientific Research (B)(2), the Ministry of Education, Science, Sports and Culture, On Creation for International Position Concerning Cluster Analysis by Soft Computing (Mini COE), Research Report 2007年
10. Hybrid Methods based on Fuzzy Clustering
Symposium of Symbolic Data Analysis and Related Methods, The Institute of Statistical Mathematics 2007年
11. Evolution of Fuzzy Clustering (invited lecture）
The 3rd SIG-DMSM (Data Mining and Statistical Mathematics) 2007年
12. Innovations in Intelligent Machines 1
Springer-Verlag Berlin Heidelberg 2007年
13. Innovations in Fuzzy Clustering Mika Sato-Ilic; Lakhmi C. Jain
Springer-Verlag (Germany) 2006年10月
14. 海外先進教育研究実践支援プログラム - 南オーストラリア大学における学習アドバイザー、特殊専門教育技法についての報告 -
筑波大学システム情報工学研究科におけるファカルティディベロップメント活動 - 平成17年度教育プロジェクト報告書 - 2006年
15. On Special Issue entitled "Soft Data Analysis"
Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 2005年
16. Fuzzy Clustering and Multivariate Analysis
Bulletin of the Computational Statistics of Japan 2004年
17. 港湾と地域の経済学 - 日本における港湾のサービス圏域分析 -，第2章，第3節
多賀出版 2003年
18. Economics of Port Areas - Analysis of the Service Area of Ports in Japan -, Chapter 2, Section 3
Taga 2003年
19. 大学入試データ解析の理論と応用 - 大学進学者のクラスタリングモデル -, 第1.3節
現代数学社 1999年
20. Theory and Applications for Data Analysis for University Entrance Examination - Clustering Model for Students Entering Universities -, Section 1.3
Gendai-Sugakusha 1999年

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1. 高次元データに対するファジィクラスタリングの主成分分析による評価村山喬則; 佐藤美佳
ファジィシステムシンポジウム講演論文集 2019年8月29日
2. Keynote: Cluster-Scaled Intelligent Data Analysis Mika Sato-Ilic
3rd International Conference on Smart Computing & Informatics 2018年12月21日招待有り
3. 分類構造に基づく異常検知手法小林大悟; 佐藤美佳
統計関連学会連合大会講演報告集 2018年9月
4. Soft Clustering-based Models Mika Sato-Ilic
23rd International Conference on Computattional Statistics (COMPSTAT 2018) 2018年8月28日招待有り
5. ⾼次元⼩標本データに対するT-ノルムに基づくマルチレイヤークラスタリング伊藤佳輝; 元田卓; 佐藤美佳
日本知能情報ファジィ学会ファジィシステムシンポジウム講演論文集 2018年
6. A Fuzzy Clustering based Data Fusion Method Mika Sato-Ilic
11th International Conference on Computational and Financial Econometrics and 10th International Conference of the ERCIM Working Group on Computational and Methodological Statistics 2017年12月16日招待有り
7. Keynote: Modeling New Complex Data Structures Mika Sato-Ilic
Complex Adaptive Systems2017 2017年10月30日招待有り
8. Asymmetric Clustering Methods based on Orthogonal Projector to the Intersection of Subspaces SATO‐ILIC Mika
統計関連学会連合大会講演報告集 2017年9月
9. Cluster-Scaled Forecasting Method For High-Dimension Low-Sample Size Data Mika Sato-Ilic
The 6th Japanese-German Symposium on Classification 2017年8月11日招待有り
10. Cluster identification and scaling methods based on comparative quantification for dissimilarity data Sato-Ilic Mika; Ilic Peter
IEEE Conference Proceedings 2017年
11. ３元マルチソースデータに対する同時ファジィクラスタリング手法矢吹健二; 佐藤美佳
日本知能情報ファジィ学会ファジィシステムシンポジウム講演論文集 2017年
12. Keynote: Soft Data Analysis Based on Cluster Scaling Mika Sato-Ilic
Soft Computing Applications (SOFA) 2016 2016年8月25日招待有り
13. 高次元小標本データの変数選択法イリチュ美佳
第40回日本知能情報ファジィ学会東海支部研究会 2016年2月11日招待有り
14. Clustering-based Models for High-dimensional Data Mika Sato-Ilic
The 9th Conference of the Asian Regional Section of the International Association for Statistical Computing 2015年12月17日招待有り
15. A Fuzzy Cluster Scaling Model Mika Sato-Ilic
The 8th International Conference of the European Research Consortium for Informatics and Mathematics Working Group on Computational and Methodological Statistics 2015年12月12日招待有り
16. On A Variable Selection Method based on the Relationship between Discrimination Information and Principal Components YAMAMOTO Toshiki; SATO‐ILIC Mika
ファジィシステムシンポジウム講演論文集(CD-ROM) 2015年
17. Keynote: Clustering-based Models from Model-based Clustering Mika Sato-Ilic
Department of Databases and Machine Learning, LIP6, University of Paris (UPMC), Paris, France in cooperation with the France chapter of the IEEE Computational Intelligence Society 2014年9月11日招待有り
18. Fuzzy Clustering-based Models and its Applications イリチュ美佳
日本行動計量学会岡山地域部会第５１回研究会 2014年3月15日招待有り
19. Fuzzy Clustering Induced Correlation for Feature Extraction in Lower Dimension Space Mika Sato-Ilic
International Conference of the ERCIM WG on Computational and Methodological Statistics, London, UK 2013年12月14日招待有り
20. 分類構造に基づく相関分析佐藤美佳
統計関連学会連合大会講演報告集 2013年9月