Personnel Information

写真a

UBUKATA Seiki


Job Title

Associate Professor

Organization

Electrical Engineering and Information Science

Mail Address

E-mail address

Homepage URL

http://www.cs.osakafu-u.ac.jp/hi/ubukata/

Faculty in charge, etc. 【 display / non-display

  • College of Engineering

  • Graduate School of Engineering, School of Engineering

Research field 【 display / non-display

  • Soft computing

  • Kansei informatics

  • Intelligent informatics

Research content 【 display / non-display

  • (Keyword)Soft computing, Clustering, Sensitivity Informatics

Academic Society Affiliations 【 display / non-display

  • Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)

  • The Japan Society of Kansei Engineering (JSKE)

  • The Institute of Systems, Control and Information Engineers (ISCIE)

  • IEEE

Prize 【 display / non-display

  • JACIII Young Researcher Award 2019, 2019.10, JACIII Editorial Board

 

Papers 【 display / non-display

  • A unified approach for cluster-wise and general noise rejection approaches for k-means clustering, PeerJ Computer Science, 2019.11, S. Ubukata

  • Rough Set-Based Clustering Utilizing Probabilistic Memberships, Journal of Advanced Computational Intelligence and Intelligent Informatics, 2018.10, Seiki Ubukata, Hiroki Kato, Akira Notsu, and Katsuhiro Honda

  • MMMs-Induced Possibilistic Fuzzy Co-Clustering and its Characteristics, Journal of Advanced Computational Intelligence and Intelligent Informatics, 2018.09, Seiki Ubukata, Katsuya Koike, Akira Notsu, and Katsuhiro Honda

  • Characteristics of Rough Set C-Means Clustering, Journal of Advanced Computational Intelligence and Intelligent Informatics, 2018.07, Seiki Ubukata, Keisuke Umado, Akira Notsu, Katsuhiro Honda

  • General Formulation of Rough C-Means Clustering, International Journal of Computer Science and Network Security, 2017.09, Seiki Ubukata, Akira Notsu, and Katsuhiro Honda

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Charge of class subject 【 display / non-display

  • Systems Engineering

  • Introduction to Programming

  • Introduction to Programming

  • Laboratory in Computer Science I

  • Practicum in Computer Science I

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