Mika Sato-Ilic

59 papers B 20C 1Journal 5Unranked 27
YearRankTypeTitle / Venue / Authors
2025 B conf
Dimensionality Reduction Method for Fuzzy Interval Data Using Deep Learning.
KES
Gakuei Sugiura, Mika Sato-Ilic
2025 — conf
Fuzzy clustering-based weighted principal component analysis for mixed data.
FUZZ
Mika Sato-Ilic
2024 B conf
Comparison of fuzzy clustering based SVM with reinforcement learning based SVM for autocoding of the Family Income and Expenditure Survey.
KES
Yukako Toko, Mika Sato-Ilic
2024 B conf
Simultaneous visualization method for mixed HDLSS data and its application for education.
KES
Mika Sato-Ilic, Peter Ilic
2023 B conf
Fuzzy cluster-scaled principal component analysis for mixed data and its application of educational effect based on device selection.
KES
Mika Sato-Ilic, Peter Ilic
2023 J jnl
Fuzzy clustering based classifier for extraction of individualities from high dimension low sample size data.
Intell. Decis. Technol.
Mika Sato-Ilic
2023 B conf
Hierarchical Support Vector Machine based Classifier for Autocoding.
KES
Yukako Toko, Mika Sato-Ilic
2022 — ch.
Advances in Fuzzy Clustering Used in Indicator for Individuality.
Advances in Selected Artificial Intelligence Areas
Mika Sato-Ilic
2021 — conf
A Classification Method Based on Ensemble Learning of Deep Learning and Multidimensional Scaling.
KES-IDT
Kazuya Miyazawa, Mika Sato-Ilic
2021 — conf
A Hybrid Method of Multi-class SVM and Classification Method Based on Reliability Score for Autocoding of the Family Income and Expenditure Survey.
KES-IDT
Yukako Toko, Mika Sato-Ilic
2021 — ch.
Fuzzy Clustering Models and Their Related Concepts.
Fuzzy Approaches for Soft Computing and Approximate Reasoning
Mika Sato-Ilic
2021 — conf
Individual Difference Assessment Method Based on Cluster Scale Using a Data Reduction Method.
KES-IDT
Kazuki Nitta, Mika Sato-Ilic
2020 — conf
A Constrained Cluster Analysis with Homogeneity of External Criterion.
KES-IDT
Masao Takahashi, Tomoo Asakawa, Mika Sato-Ilic
2020 — conf
Improvement of the Training Dataset for Supervised Multiclass Classification.
KES-IDT
Yukako Toko, Mika Sato-Ilic
2019 B conf
Quantification and Visualization for Difference of Fuzzy Clustering Results.
FUZZ-IEEE
Mika Sato-Ilic
2018 — conf
Estimation of Business Demography Statistics: A Method for Analyzing Job Creation and Destruction.
KES-IDT
Masao Takahashi, Mika Sato-Ilic, Motoi Okamoto
2018 — conf
Supervised Multiclass Classifier for Autocoding Based on Partition Coefficient.
KES-IDT
Yukako Toko, Kazumi Wada, Shinya Iijima, Mika Sato-Ilic
2017 B conf
Cluster identification and scaling methods based on comparative quantification for dissimilarity data.
FUZZ-IEEE
Mika Sato-Ilic, Peter Ilic
2016 B conf
Visualization of Fuzzy Clustering Result in Metric Space.
KES
Mika Sato-Ilic, Peter Ilic
2015 B conf
A Variable Selection Method Considering Cluster Loading for Labeled High Dimension Low Sample Size Data.
KES
Jiaxin Chen, Mika Sato-Ilic
2015 — conf
Multidimensional Joint Scale and Cluster Analysis.
Complex Adaptive Systems
Mika Sato-Ilic
2014 B conf
A Fuzzy Clustering Method Using the Relative Structure of the Belongingness of Objects to Clusters.
KES
Tosei Hatori, Mika Sato-Ilic
2014 — conf
Fuzzy Correlational Direction Multidimensional Scaling.
SOFA (2)
Mika Sato-Ilic
2014 — conf
On a Multidimensional Cluster Scaling.
Complex Adaptive Systems
Mika Sato-Ilic, Peter Ilic
2014 — conf
Part V: Data Science and Analytics Preface.
Complex Adaptive Systems
Mika Sato-Ilic
2014 B conf
Universal fuzzy clustering model.
FUZZ-IEEE
Mika Sato-Ilic
2013 — conf
Fuzzy Dissimilarity based Multidimensional Scaling and its Application to Collaborative Learning Data.
Complex Adaptive Systems
Mika Sato-Ilic, Peter Ilic
2013 — conf
Part IV: Data Science and Analytics.
Complex Adaptive Systems
Mika Sato-Ilic
2013 J jnl
Special issue: Computational intelligence models for image processing and information reasoning.
J. Intell. Fuzzy Syst.
Chee Peng Lim, Canicious Abeynayake, Mika Sato-Ilic, Lakhmi C. Jain
2012 J jnl
A learning based self-organized additive fuzzy clustering method and its application for EEG data.
Int. J. Knowl. Based Intell. Eng. Syst.
Tomoyuki Kuwata, Mika Sato-Ilic, Lakhmi C. Jain
2012 — conf
Analysis of Web Survey Data based on Similarity of Fuzzy Clusters.
Complex Adaptive Systems
Ryunosuke Chiba, Mika Sato-Ilic
2012 — conf
On Fuzzy Clustering based Correlation.
Complex Adaptive Systems
Mika Sato-Ilic
2012 — conf
Preface to Part III Adaptive Big Data Analytics.
Complex Adaptive Systems
Mika Sato-Ilic
2012 B conf
Structural classification based correlation and its application to principal component analysis for high-dimension low-sample size data.
FUZZ-IEEE
Mika Sato-Ilic
2012 — conf
Two Covariances Harnessing Fuzzy Clustering Based PCA for Discrimination of Microarray Data.
CIBB
Mika Sato-Ilic
2011 C conf
Generalized operators and its application to a nonlinear fuzzy clustering model.
CIBCB
Mika Sato-Ilic
2011 — conf
Symbolic Clustering with Interval-Valued Data.
Complex Adaptive Systems
Mika Sato-Ilic
2010 B conf
An adaptive cluster-target covariance based principal component analysis for interval-valued data.
FUZZ-IEEE
Mika Sato-Ilic
2010 — conf
Dissimilarity Based Principal Component Analysis Using Fuzzy Clustering.
IUM
Mika Sato-Ilic
2009 B conf
Generalized kernel fuzzy clustering model.
FUZZ-IEEE
Mika Sato-Ilic, Shota Ito, Shota Takahashi
2008 B conf
Clustering objects with degree of classification.
FUZZ-IEEE
Mika Sato-Ilic
2008 — book
Computational Intelligence Paradigms, Innovative Applications
Computational Intelligence Paradigms
Lakhmi C. Jain, Mika Sato-Ilic, Maria Virvou, George A. Tsihrintzis, Valentina Emilia Balas, Canicious Abeynayake
2008 — ch.
Fuzzy Blocking Regression Models.
Computational Intelligence Paradigms
Mika Sato-Ilic
2007 — conf
Asymmetric Clustering Based on Self-Similarity.
IIH-MSP
Mika Sato-Ilic, Lakhmi C. Jain
2007 — book
Innovations in Intelligent Machines - 1
Javaan S. Chahl, Lakhmi C. Jain, Akiko Mizutani, Mika Sato-Ilic
2007 — conf
Variable Based Fuzzy Blocking Regression Model.
KES (2)
Mika Sato-Ilic
2007 — conf
Weighted fuzzy clustering on subsets of variables.
ISSPA
Mika Sato-Ilic
2006 J jnl
Dynamic fuzzy clustering using fuzzy cluster loading.
Int. J. Gen. Syst.
Mika Sato-Ilic
2006 — conf
Fuzzy Structural Classification Methods.
KES (2)
Mika Sato-Ilic, Tomoyuki Kuwata
2006 B conf
Genralized fuzzy cluster loading model.
FUZZ-IEEE
Mika Sato-Ilic, Toshiya Shijo
2006 — book
Innovations in Fuzzy Clustering - Theory and Applications
Mika Sato-Ilic, Lakhmi C. Jain
2006 — conf
Innovations in Soft Data Analysis.
KES (2)
Mika Sato-Ilic, Lakhmi C. Jain
2005 B conf
On Fuzzy Clustering Based Self-Organized Methods.
FUZZ-IEEE
Mika Sato-Ilic, Tomoyuki Kuwata
2004 — conf
Fuzzy clustering based weighted principal component analysis for interval-valued data considering uniqueness of clusters.
SMC (3)
Mika Sato-Ilic
2003 B conf
Weighted principal component analysis for interval-valued data based on fuzzy clustering.
SMC
Mika Sato-Ilic
2000 — conf
Classification Based on Relational Fuzzy C-Means for 3-Way Data.
ICEIS
Mika Sato-Ilic
2000 B conf
On evaluation of clustering using homogeneity analysis.
SMC
Mika Sato-Ilic
1999 J jnl
On Dynamic Clustering Models for 3-way Data.
J. Adv. Comput. Intell. Intell. Informatics
Mika Sato-Ilic
1998 B conf
A clustering model on similarities for dynamic changes.
SMC
Mika Sato-Ilic