Rchr
J-GLOBAL ID:201801007906143340   Update date: Feb. 01, 2024

Ishikawa Yu

Ishikawa Yu
Affiliation and department:
Research field  (2): Human interfaces and interactions ,  Intelligent informatics
Research keywords  (4): 生体認証 ,  脳波 ,  生体情報処理 ,  機械学習
Research theme for competitive and other funds  (7):
  • 2020 - 2023 近代書籍からの知の再構築
  • 2019 - 2022 リアルタイム誘発脳波抽出手法
  • 2019 - 2021 データの利活用による保険関連サービスの高度化に関する研究
  • 2019 - 2020 分析計データの補完/解釈を自動化する技術の調査研究
  • 2019 - 2020 Extracting Knowledge from Japanese Early-Modern Printed Books
Show all
Papers (22):
  • Sayaka Iida, Yuki Takemoto, Yu Ishikawa, Masami Takata, Kazuki Joe. Layout Analysis using Semantic Segmentation for Imperial Meeting Minute. Proceedings of the 2019 International Conference on Parallel and Distributed Processing Technologies and Applications. 2019. 135-141
  • Yuki Takemoto, Yu Ishikawa, Masami Takata, Kazuki Joe. Structure of Neural Network for Automatically Generating Fonts of Early-Modern Japanese Printed Books. Proceedings of the 2019 International Conference on Parallel and Distributed Processing Technologies and Applications. 2019. 182-188
  • Suzuka Yasunami, Yuki Takemoto, Yu Ishikawa, Masami Takata, Kazuki Joe. Applying CNNs to Early-Modern Printed Japanese Character Recognition. Proceedings of the 2019 International Conference on Parallel and Distributed Processing Technologies and Applications. 2019. 189-195
  • Rina Yamamoto, Yuki Takemoto, Yu Ishikawa, Kazuki Joe. Optimization of Auto Mesh Generation Using Genetic Algorithm. Proceedings of the 2018 International Conference on Parallel and Distributed Processing Technologies and Applications. 2018. 354-360
  • Yuki Takemoto, Yu Ishikawa, Masami Takata, Kazuki Joe. Automatic Font Generation For Early-Modern Japanese Printed Books. Proceedings of the 2018 International Conference on Parallel and Distributed Processing Technologies and Applications. 2018. 326-332
more...
MISC (41):
Lectures and oral presentations  (3):
  • 脳波個人認証のための特徴抽出
    (情報処理学会研究報告 2014)
  • α波構成要素の切出しと解析
    (情報処理学会研究報告 2012)
  • Enobioを用いたα波形状の推定
    (情報処理学会研究報告 2011)
Education (3):
  • 2014 - 2017 Nara Women's University Graduate School of Humanities and Sciences Interdisciplinary Research of Scientific Phenomena and Information
  • 2012 - 2014 Nara Women's University Graduate School of Humanities and Sciences Information Science
  • 2008 - 2012 Nara Women's University Faculty of Science Information Science
Professional career (1):
  • 博士(情報科学) (奈良女子大学)
Work history (5):
  • 2023/04 - 現在 Kyoto Women's University Faculty of Data Science Lecturer
  • 2018/09 - 2023/03 Shiga University Center for Data Science Education and Research Assistant Professor
  • 2018/04 - 2018/08 Nara Women's University Faculty of Human Life and Environment Postdoctoral Fellow
  • 2017/04 - 2018/03 Japan Society for the Promotion of Science Research Fellowship for Young Scientists PD
  • 2016/04 - 2017/03 Japan Society for the Promotion of Science Research Fellowship for Young Scientists DC2
Awards (2):
  • 2016/09 - 情報処理学会数理モデル化と問題解決研究会 MPS研究会ベストプレゼンテーション賞
  • 2012/03 - 情報処理学会数理モデル化と問題解決研究会 MPS研究会ベストプレゼンテーション賞
Association Membership(s) (1):
INFORMATION PROCESSING SOCIETY OF JAPAN
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