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J-GLOBAL ID：202301020835726486   Update date: Jan. 30, 2024

Uchiyama Toshio

ウチヤマ トシオ | Uchiyama Toshio
Affiliation and department：
Hokkaido Information University Faculty of Business Administration and Information Science

About Hokkaido Information University Faculty of Business Administration and Information Science


Job title： Professer
Research theme for competitive and other funds  (2)：
  • 2018 - 2022 Establishment of a diversity analysis method for probabilistic latent semantic analysis solutions
  • 2014 - 2017 Improvement of Nonnegative Matrix Factorization method using competitive learning
Papers (32)：
  • Toshio Uchiyama, Tsukasa Hokimoto. Analysis of Solution Diversity in Topic Models for Smart City Applications. Sustainable Smart Cities - A Vision for Tomorrow. 2023. 51-70
  • Toshio Uchiyama, Tsukasa Hokimoto. A Word Distribution Based Analysis of the Diverse Solutions at Topic Models. 2022. J105-D. 5. 405-415
  • Toshio Uchiyama, Tsukasa Hokimoto. Analysis and visualization of solution diversity about topic model. 2019. J102-D. 10. 698-707
  • Toshio Uchiyama. A method for analyzing solution diversity in topic models. 2018 5th International Conference on Business and Industrial Research (ICBIR). 2018. 29-34
  • Okamoto, Kazuya, Uchiyama, Toshio, Takemura, Tadamasa, Kume, Naoto, Kuroda, Tomohiro, Yoshihara, Hiroyuki. Automatic selection of diagnosis procedure combination codes based on partial treatment data relative to the number of hospitalization days. Eur J Biomed. 2018. 14. 1. 45-51
ｍore...
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