イリチュ 美佳(イリチュ ミカ)
- 論文
- Discrimination of the Labeled High-Dimension Low-Sample Data for Healthcare
Sato-Ilic Mika
Proceedings of International Conference on FIM-IMIP-UMSO/pp.61-62, 2021/12 - Cluster-scaled principal component analysis
Sato-Ilic Mika
WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS/Epub/pp.1-13, 2021-10 - ファジィ区間データに対する主成分分析
益居 秀; イリチユ 美佳
第３７回ファジィシステムシンポジウム講演論文集/pp.393-398, 2021-09 - Hybrid autocoding method for the Family Income and Expenditure Survey
床 裕佳子; イリチユ 美佳
日本分類学会第40回大会予稿集/pp.08, 1-08, 4, 2021-07 - A Hybrid Method of Multi-class SVM and Classification Method Based on Reliability Score for Autocoding of the Family Income and Expenditure Survey
Toko Yukako; Sato-Ilic Mika
Intelligent Decision Technologies, Smart Innovation, Systems and Technologies/pp.403-413, 2021-06 - Individual Difference Assessment Method Based on Cluster Scale Using a Data Reduction Method
Nitta Kazuki; Sato-Ilic Mika
Intelligent Decision Technologies, Smart Innovation, Systems and Technologies/238/pp.415-426, 2021-06 - A Classification Method Based on Ensemble Learning of Deep Learning and Multidimensional Scaling
Miyazawa Kazuya; Sato-Ilic Mika
Intelligent Decision Technologies, Smart Innovation, Systems and Technologies/238/pp.379-390, 2021-06 - Indicator for Individuality of Subjects Based on Similarity of Objects
Sato-Ilic Mika
Procedia Computer Science/185/pp.193-202, 2021-06 - Efficient Autocoding Method in High Dimensional Space
Toko Yukako; Sato-Ilic Mika
Romanian Statistical Review/1/pp.3-16, 2021-03 - A Constrained Cluster Analysis with Homogeneity of External Criterion
Takahashi Masao; Asakawa Tomoo; Sato-Ilic Mika
Intelligent Decision Technologies/193/pp.303-313, 2020-06 - Improvement of the Training Dataset for Supervised Multiclass Classification
Toko Yukako; Sato-Ilic Mika
Intelligent Decision Technologies/193/pp.291-302, 2020-06 - Probabilistic Metric Based Multidimensional Scaling
Sato-Ilic Mika
Procedia Computer Science/168/pp.65-72, 2020-01 - 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; イリチユ 美佳
第 35 回ファジィシステムシンポジウム 講演論文集/35/pp.203-208, 2019-08 - ファジィクラスタリングとファジィクラスタリングモデル
佐藤美佳（イリチユ 美佳）
知能と情報（日本知能情報ファジィ学会誌）/31(3)/pp.75-81, 2019-06 - Quantification and Visualization for Difference of Fuzzy Clustering Results
Sato-Ilic Mika
The 2019 IEEE International Conference on Fuzzy Systems,2019, 2019-06 - Generalization for Improvement of the Reliability Score for Autocoding
Toko Yukako; Iijima Shinya; Sato-Ilic Mika
ROMANIAN STATISTICAL REVIEW/(3)/pp.47-59, 2019 - Homogeneous Cluster Analysis
Sato-Ilic Mika
Procedia Computer Sciences/140/pp.269-275, 2018-11 - 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; イリチユ 美佳
第34回ファジィシステムシンポジウム講演論文集/pp.480-485, 2018-09 - Estimation of Business Demography Statistics: A Method for Analyzing Job Creation and Destruction
Takahashi Masao; Sato-Ilic Mika; Okamoto Motoi
Intelligent Decision Technologies 2018/97/pp.33-43, 2018-06 - Supervised Multiclass Classifier for Autocoding Based on Partition Coefficient
Toko Yukako; Wada Kazumi; Iijima Shinya; Sato-Ilic Mika
Intelligent Decision Technologies 2018/97/pp.54-64, 2018-06 - Cluster-Scaled Regression Analysis for High-Dimension and Low-Sample Size Data
Sato-Ilic Mika
Advances in Smart Systems Research/7(1)/pp.1-10, 2018-06 - Overlapping classification for autocoding system
Toko Yukako; Iijima Shinya; Sato-Ilic Mika
ROMANIAN STATISTICAL REVIEW/(4)/pp.58-73, 2018 - Knowledge-based Comparable Predicted Values in Regression Analysis
Sato-Ilic Mika
Procedia Computer Science, Elsevier/114/pp.216-223, 2017-11 - 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
イリチユ 美佳; 矢吹健二
第 33 回ファジィシステムシンポジウム講演論文集/33/pp.441-446, 2017-09 - Cluster Identification and Scaling Methods based on Comparative Quantification for Dissimilarity Data
Sato-Ilic Mika; Ilic Peter
The 2017 IEEE International Conference on Fuzzy Systems, 2017-07 - さらに表示...
- Discrimination of the Labeled High-Dimension Low-Sample Data for Healthcare