SATO-ILIC Mika

Researcher's full information

Conference, etc.
  • Clustering Models based on Cluster-Scales
    Sato-Ilic Mika
    Global Summit and Expo on Robot Intelligence Technology and Applications/2021/09/06--2021/09/08
  • Hybrid autocoding method for the Family Income and Expenditure Survey
    床 裕佳子; イリチユ 美佳
    Japanese Classification Society 40th Annual Research Meeting/2021/07/03--2021/07/03
  • Indicator for Individuality of Subjects Based on Similarity of Objects
    Sato-Ilic Mika
    Complex Adaptive Systems 2021/2021/06/16--2021/06/18
  • A Hybrid Method of Multi-Class SVM and Classification Method Based on Reliability Score for Autocoding of the Family Income and Expenditure Su
    Toko Yukako; Sato-Ilic Mika
    13th Knowledge-Based and Intelligent Information & Engineering Systems - Intelligent Decision Technologies/2021-06-14--2021-06-16
  • Individual Differences Assessment Method Based On Cluster Scale Using A Data Reduction Method
    Nitta Kazuki; Sato-Ilic Mika
    13th Knowledge-Based and Intelligent Information & Engineering Systems - Intelligent Decision Technologies/2021-06-14--2021-06-16
  • A Classification Method Based On Ensemble Learning Of Deep Learning And Multidimensional Scaling
    Miyazawa Kazuya; Sato-Ilic Mika
    13th Knowledge-Based and Intelligent Information & Engineering Systems - Intelligent Decision Technologies/2021-06-14--2021-06-16
  • Complex Statistical Data Modeling
    Sato-Ilic Mika
    NUS-Tsukuba Joint-Online-Workshop on Sustainable Management and Data Sciences/2021-03-14--2021-03-15
  • Efficient Autocoding Method in High Dimensional Space
    Yukako Toko; Sato-Ilic Mika
    Use of R in Official Statistics - uRos2020/2020-12-02--2020-12-04
  • Statistical Data Science at A Crossroads (Keynote speech)
    Sato-Ilic Mika
    KES-Intelligent Decision Technologies, Smart Innovation, Systems and Technologies 2020/2020-06-17--2020-06-19
  • A Constrained Cluster Analysis with Homogeneity of External Criterion
    Takahashi Masao; Asakawa Tomoo; Sato-Ilic Mika
    KES-Intelligent Decision Technologies, Smart Innovation, Systems and Technologies 2020/2020-06-17--2020-06-19
  • Improvement of the Training Dataset for Supervised Multiclass Classification
    Toko Yukako; Sato-Ilic Mika
    KES-Intelligent Decision Technologies, Smart Innovation, Systems and Technologies 2020/2020-06-17--2020-06-19
  • Statistical Data Science Based on Soft Computing
    Sato-Ilic Mika
    MIT-Tsukuba Joint-Workshop on Data Systems Science towards Social and Business Innovations/2020-01-20--2020-01-21
  • Fuzzy clustering-based non-linear dimensionality reduction
    Sato-Ilic Mika
    3th International Conference on Computational and Financial Econometrics (CFE 2019) and 12th International Conference of the ERCIM (European Research Consortium for Informatics and Mathematics) Working Group on Computational and Methodological Statistics (CMStatistics 2019)/2019-12-14--2019-12-16
  • Probabilistic Metric Based Multidimensional Scaling
    Sato-Ilic Mika
    Complex Adaptive Systems 2019/2019-11-13--2019-11-15
  • 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
  • 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
  • Quantification and Visualization for Difference of Fuzzy Clustering Results
    Sato-Ilic Mika
    The 2019 IEEE International Conference on Fuzzy Systems/2019-06-23--2019-06-26
  • 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
    科研費基盤研究(A)「政府統計ミクロデータの構造化と研究利用プラットフォームの形成」に係る研究集会/2019-01-18
  • Cluster-Scaled Intelligent Data Analysis
    Sato-Ilic Mika
    3rd International Conference on Smart Computing & Informatics/2018-12-21--2018-12-22
  • Homogeneous Cluster Analysis
    Sato-Ilic Mika
    Complex Adaptive Systems 2018/2018-11-05--2018-11-07
  • 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
  • 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
    分類構造に基づく異常検知手法/2018-09-09--2018-09-13
  • 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
  • Soft Clustering-based Models
    Sato-Ilic Mika
    23rd International Conference on Computattional Statistics (COMPSTAT 2018)/2018-08-28--2018-08-31
  • more...