SATO-ILIC Mika

Researcher's full information

Conference, etc.

• Discrimination of the Labeled High-Dimension Low-Sample Data for Healthcare
  Sato-Ilic Mika
  International Conference on FIM-IMIP-UMSO/2021/12/26--2021/12/28
• Fusion of Statistical and Computational Thinking and Its Application to Fuzzy Cluster-Scaled Statistical Analysis
  Sato-Ilic Mika
  International Conference on FIM-IMIP-UMSO/2021/12/26--2021/12/28
• Cluster-Scaled Statistical Data Science
  Sato-Ilic Mika
  5th International Conference on Computational Intelligence, Cyber Security and Computational Models (ICC3)/2021/12/16--2021/12/18
• Weighted Regression Analysis for Interval-Valued Compositional Data
  藤本 聖; イリチユ 美佳
  Japanese Classification Society Symposium 2021/2021/12--2021/12
• Autocoding based on Multi-Class Support Vector Machine by Fuzzy c-means Method
  Yukako Toko; Sato-Ilic Mika
  The annual conference on the Use of R in Official Statistics/2021/11/24--2021/11/26
• Principal Component Analysis for Fuzzy Interval-Valued Data
  益居 秀; イリチユ 美佳
  The 37th Fuzzy System Symposium/2021/09/13--2021/09/15
• 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
• more...