Shota Sugahara

Department of Computer and Network EngineeringAssistant Professor
Cluster I (Informatics and Computer Engineering)Assistant Professor
Researcher Information

Research Keyword

  • Bayesian networks

Field Of Study

  • Informatics, Statistical science, machine learning, artificial intelligence, Bayesian networks
Research Activity Information

Paper

  • Learning Bayesian Network Classifiers to Minimize the Class Variable Parameters.
    Shouta Sugahara; Koya Kato; Maomi Ueno
    AAAI, 20540-20549, 2024
    International conference proceedings
    URL
    URL 2
    DOI URL
  • Bayesian Network Model Averaging Classifiers by Subbagging
    Shouta Sugahara; Itsuki Aomi; Maomi Ueno
    Entropy, {MDPI} {AG}, 24, 5, 743-743, 23 May 2022
    Scientific journal
    URL
    DOI URL
  • Recursive autonomy identification-based learning of augmented naive Bayes classifiers.
    Shouta Sugahara; Wakaba Kishida; Koya Kato; Maomi Ueno
    International Conference on Probabilistic Graphical Models(PGM), PMLR, 265-276, 2022
    International conference proceedings
    URL
    URL 2
  • Exact Learning Augmented Naive Bayes Classifier
    Shouta Sugahara; Maomi Ueno
    Entropy, 20 Dec. 2021
    Scientific journal
    DOI URL
  • Exact learning augmented naive Bayes classifier.
    Shouta Sugahara; Masaki Uto; Maomi Ueno
    International Conference on Probabilistic Graphical Models(PGM), PMLR, 439-450, 2018
    International conference proceedings
    URL
    URL 2

Courses

  • Exercise in Informatics Ⅱ
    Apr. 2024 - Present
    The University of Electro-Communications
  • Mathematical Information Science Laboratory ⅡB
    Oct. 2023 - Present
    The University of Electro-Communications