Sato-Ilic Mika

Researcher's full information

Conference, etc.
  • Improvement of training data based on pattern of reliability scores for overlapping classification
    Toko Yukako; Sato-Ilic Mika; Iijima Shinya
    16th Conference of the International Federation of Classification Societies/2019-08-26--2019-08-29
  • Evaluation of Fuzzy Clustering for High-Dimensional Data based on Principal Component Analysis
    村山喬則; イリチユ 美佳
    35th Fuzzy System Symposium/2019-08-29--2019-08-31
  • 自動格付のための多クラス分類器
    床裕佳子; イリチユ 美佳
  • Cluster-Scaled Intelligent Data Analysis
    Sato-Ilic Mika
    3rd International Conference on Smart Computing & Informatics/2018-12-21--2018-12-22
  • Soft Clustering-based Models
    Sato-Ilic Mika
    23rd International Conference on Computattional Statistics (COMPSTAT 2018)/2018-08-28--2018-08-31
  • Homogeneous Cluster Analysis
    Sato-Ilic Mika
    Complex Adaptive Systems 2018/2018-11-05--2018-11-07
  • Cluster-Scaled Regression Analysis for High-Dimension and Low-Sample Size Data
    Sato-Ilic Mika
    KES-Intelligent Decision Technologies2018/2018-06-20--2018-06-22
  • Supervised Multiclass Classifier for Autocoding Based on Partition Coefficient
    Toko Yukako; Wada Kazumi; Iijima Shinya; Sato-Ilic Mika
    KES-Intelligent Decision Technologies2018/2018-06-20--2018-06-22
  • Estimation of Business Demography Statistics: A Method for Analyzing Job Creation and Destruction
    Takahashi Masao; Sato-Ilic Mika; Motoki
    KES-Intelligent Decision Technologies2018/2018-06-20--2018-06-22
  • Overlapping Classification for Autocoding System
    Yoko Yukako; Iijima Shinya; Sato-Ilic Mika
    Use of R in Official Statistics 2018/2018-09-13--2018-09-14
  • Japanese Joint Statistical Meeting 2018
    小林大悟; イリチユ 美佳
  • Multilayer Clustering based on T-norms for High-Dimension Low-Sample Size Data
    伊藤佳輝; 元田卓; イリチユ 美佳
    34th Fuzzy System Symposium/2018-09-03--2018-09-05
  • A Proposal for a Method of Forming Survey Blocks in the Economic Census for Business Frame: Development of a New Algorithm of Constrained Cluster Analysis Using the Information of Spatial Representative Points
    髙橋雅夫; 浅川智雄; イリチユ 美佳
    地理情報システム学会 第27回学術研究発表大会/2018-10-20--2018-10-21
  • Modeling New Complex Data Structures
    Sato-Ilic Mika
    Complex Adaptive Systems2017/2017-10-30
  • Cluster Identification and Scaling Methods based on Comparative Quantification for Dissimilarity Data
    Sato-Ilic Mika; Ilic Peter
    IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)/2017-07-09--2017-07-12
  • A Fuzzy Clustering based Data Fusion Method
    Sato-Ilic Mika
    11th International Conference on Computational and Financial Econometrics and 10th International Conference of the ERCIM Working Group on Computational and Methodological Statistics/2017-12-16--2017-12-18
  • Knowledge-based Comparable Predicted Values in Regression Analysis
    Sato-Ilic Mika
    Complex Adaptive Systems 2017/2017-10-30--2017-11-01
  • Cluster-Scaled Forecasting Method For High-Dimension Low-Sample Size Data
    Sato-Ilic Mika
    The 6th Japanese-German Symposium on Classification/2017-08-11--2017-08-12
  • Asymmetric Clustering Methods based on Orthogonal Projector to the Intersection of Subspaces
    イリチユ 美佳
  • A Simultaneous Fuzzy Clustering Method for 3-Way Multi-Source Data
    矢吹健二; イリチユ 美佳
  • Soft Data Analysis Based on Cluster Scaling
    Sato-Ilic Mika
    Soft Computing Applications (SOFA) 2016/2016-08-24--2016-08-26
  • Individual Compositional Cluster Analysis
    Sato-Ilic Mika
  • Visualization of Fuzzy Clustering Result in Metric Space
    Sato-Ilic Mika; Ilic Peter
    20th International Conference on Knowledge - Based and Intelligent Information and Engineering Systems (KES)/2016-09-05--2016-09-07
  • On A Method of Variable Selection for High-Dimension Low Sample Size Data
    イリチユ 美佳
    The 40th Research Society of Tokai Chapter of The Japan Society for Fuzzy Theory and Intelligent Informatics/2016-2-11--2016-2-12
  • 離島における分類構造を利用した人口減少に関する解析
    吉元 翔汰; イリチユ 美佳
    the 34th Annual Research Meeting of the Japanese Classification Society/2016-02-29--2016-03-01
  • more...