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

グローバル人材育成に必要なコンピテンシーの学習方法を確立させる
グローバル人材開発リサーチユニット
In Search of the Methodology for Developing Global Human Resources Management

2016-04-05

永井 裕久 イリチユ 美佳 木野 泰伸
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。
  1. 1. Probabilistic Metric Based Multidimensional Scaling Mika Sato-Ilic
      Procedia Computer Science in press: (2019)
  2. 2. Quantification and Visualization for Difference of Fuzzy Clustering Results. Mika Sato-Ilic
      2019 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2019, New Orleans, LA, USA, June 23-26, 2019 1 (2019) Semantic Scholar
  3. 3. Estimation of Business Demography Statistics: A Method for Analyzing Job Creation and Destruction Masao Takahashi; Mika Sato-Ilic; Motoi Okamoto
      33 (2019) Semantic Scholar
  4. 4. Supervised Multiclass Classifier for Autocoding Based on Partition Coefficient Yukako Toko; Kazumi Wada; Shinya Iijima; Mika Sato-Ilic
      54 (2019) Semantic Scholar
  5. 5. Generalization for Improvement of the Reliability Score for Autocoding Yukako Toko; Shinya Iijima; Mika Sato-Ilic
      ROMANIAN STATISTICAL REVIEW 47 (2019)
  6. 6. Overlapping classification for autocoding system Yukako Toko; Shinya Iijima; Mika Sato-Ilic
      ROMANIAN STATISTICAL REVIEW 58 (2018)
  7. 7. Homogeneous cluster analysis Mika Sato-Ilic
      Procedia Computer Science 140: 269 (2018) Semantic Scholar
  8. 8. Cluster identification and scaling methods based on comparative quantification for dissimilarity data Mika Sato-Ilic; Peter Ilic
      IEEE International Conference on Fuzzy Systems 1 (2017) Semantic Scholar
  9. 9. Knowledge-based Comparable Predicted Values in Regression Analysis Mika Sato-Ilic
      Procedia Computer Science 114: 216 (2017) Semantic Scholar
  10. 10. Fuzzy Correlational Direction Multidimensional Scaling Mika Sato-Ilic
      SOFT COMPUTING APPLICATIONS, (SOFA 2014), VOL 2 357: 841 (2016) Semantic Scholar
  11. 11. Individual Compositional Cluster Analysis Mika Sato-Ilic
      COMPLEX ADAPTIVE SYSTEMS 95: 254 (2016) Semantic Scholar
  12. 12. Visualization of Fuzzy Clustering Result in Metric Space Mika Sato-Ilic; Peter Ilic
      KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS: PROCEEDINGS OF THE 20TH INTERNATIONAL CONFERENCE KES-2016 96: 1666 (2016) Semantic Scholar
  13. 13. Fuzzy correlational direction multidimensional scaling Mika Sato-Ilic
      Advances in Intelligent Systems and Computing 357: 841 (2016) Semantic Scholar
  14. 14. Multidimensional Joint Scale and Cluster Analysis Mika Sato-Ilic
      COMPLEX ADAPTIVE SYSTEMS, 2015 61: 11 (2015) Semantic Scholar
  15. 15. A variable selection method considering cluster loading for labeled high dimension low sample size data Jiaxin Chen; Mika Sato-Ilic
      KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS 19TH ANNUAL CONFERENCE, KES-2015 60: 850 (2015) Semantic Scholar
  16. 16. On a Multidimensional Cluster Scaling Mika Sato-Ilic; Peter Ilic
      COMPLEX ADAPTIVE SYSTEMS 36: 278 (2014) Semantic Scholar
  17. 17. Part V: Data Science and Analytics: Preface Mika Sato-Ilic
      Procedia Computer Science 36: 276 (2014) Semantic Scholar
  18. 18. Universal Fuzzy Clustering Model Mika Sato-Ilic
      2014 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE) 2071 (2014) Semantic Scholar
  19. 19. A fuzzy clustering method using the relative structure of the belongingness of objects to clusters Tosei Hatori; Mika Sato-Ilic
      KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS 18TH ANNUAL CONFERENCE, KES-2014 35: 994 (2014) Semantic Scholar
  20. 20. 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
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  1. 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. 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. 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. 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. 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. 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. 7. Keynote: Modeling New Complex Data Structures Mika Sato-Ilic
    Complex Adaptive Systems2017 2017年10月30日 招待有り
  8. 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. 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. 10. Cluster identification and scaling methods based on comparative quantification for dissimilarity data Sato-Ilic Mika; Ilic Peter
    IEEE Conference Proceedings 2017年
  11. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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
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