Rchr
J-GLOBAL ID:201601004255978232   Update date: Oct. 04, 2024

SAKURAI YASUSHI

サクライ ヤスシ | SAKURAI YASUSHI
Affiliation and department:
Homepage URL  (2): http://www.dm.sanken.osaka-u.ac.jp/~yasushi/index-j.htmlhttp://www.dm.sanken.osaka-u.ac.jp/~yasushi/index.html
Research field  (1): Database science
Research theme for competitive and other funds  (9):
  • 2023 - 2026 Prediction of left-ventricular assist device malfunction using artificial intelligence trained on acoustic spectra
  • 2021 - 2024 時系列ビッグデータストリームの複合モデリングに関する研究
  • 2020 - 2023 ビッグデータからの材料特性の高速モデル学習と最適化
  • 2018 - 2021 Development of Methods for Social Information Analysis and Behavior Prediction Based on Web Information
  • 2016 - 2019 Realtime Data Mining for Online Activities
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Papers (101):
  • Honglin Shu, Pei Gao, Lingwei Zhu, Zheng Chen, Yasuko Matsubara, Yasushi Sakurai. Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation. International Conference on Advanced Data Mining and Applications. 2023. 3. 103-117
  • Taichi Murayama, Akira Matsui, Kunihiro Miyazaki, Yasuko Matsubara, Yasushi Sakurai. The Chance of Winning Election Impacts on Social Media Strategy. International AAAI Conference on Web and Social Media (ICWSM 2023)). 2023. 674-685
  • Koki Kawabata, Yasuko Matsubara, Yasushi Sakurai. Modeling Dynamic Interactions over Tensor Streams. Proceedings of the ACM Web Conference (WWW2023). 2023. 1793-1803
  • Kota Nakamura, Yasuko Matsubara, Koki Kawabata, Yuhei Umeda, Yuichiro Wada, Yasushi Sakurai. Fast and Multi-aspect Mining of Complex Time-stamped Event Streams. Proceedings of the ACM Web Conference (WWW2023). 2023. 1638-1649
  • Akihiro Tanabe, Yasuko Matsubara, Yasushi Sakurai. Partial Discharge Detection for Underground Transmission Lines Using Nonnegative Matrix Factorization. The 2022 IEEE International Conference on Big Data (BTSD). 2022. 3447-3454
more...
MISC (66):
  • 入船 恭彰, 松原 靖子, 佐藤 貴大, 有次 正義, 櫻井 保志. 共通パターンを用いた時系列データの弱教師ありセグメンテーション. 第12回データ工学と情報マネジメントに関するフォーラム論文集. 2020
  • Multi-aspect Tensor Mining for Event Forecasting. 2020. 13. 1. 8-19
  • Christos Faloutsos. Automatic Mining of Competing Local Activities. 2017. 10. 3. 1-15
  • Analysis of electronic heath record using Deep Learning. 2017. 117. 212. 43-48
  • Real-time Forecasting of Co-evolving Time Sequences. 2016. 9. 4. 32-45
more...
Patents (55):
Lectures and oral presentations  (9):
  • 情報拡散過程のダイナミクス:非線形モデルの提案と情報予測
    (研究報告データベースシステム(DBS) 2012)
  • 大規模Webクリックデータのためのイベント予測
    (研究報告データベースシステム(DBS) 2012)
  • An efficient method for pattern discovery in data streams
    (研究報告情報基礎とアクセス技術(IFAT) 2012)
  • An efficient method for pattern discovery in data streams
    (研究報告データベースシステム(DBS) 2012)
  • Recognizing Portable Electrical Device Usage by using Battery-shaped Sensor Nodes
    (IEICE technical report 2012)
more...
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