Rchr
J-GLOBAL ID:201601004255978232
Update date: Sep. 25, 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.html
,
http://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
- 2015 - 2018 Development of Advanced Analytical Technology for Llarge-scale Medical Data
- 2014 - 2017 Mining and Forecasting of Big Time-evolving Events
- 2014 - 2017 Infrastructure for real-time information extraction from large-scale graph streams
- 2012 - 2015 Monitoring and Forecasting of Temperature Sensor Data for Large-scale Computing Servers
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Papers (98):
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Honglin Shu, Pei Gao, Lingwei Zhu, Zheng Chen, Yasuko Matsubara, Yasushi Sakurai. Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation. Advanced Data Mining and Applications. 2023. 103-117
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Koki Kawabata, Yasuko Matsubara, Yasushi Sakurai. Modeling Dynamic Interactions over Tensor Streams. Proceedings of the ACM Web Conference 2023. 2023
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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 2023. 2023
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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. 2023
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Taichi Murayama, Yasuko Matsubara, Yasushi Sakurai, None None. Mining Reaction and Diffusion Dynamics in Social Activities. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 2022
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MISC (66):
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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
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Multi-aspect Tensor Mining for Event Forecasting. 2020. 13. 1. 8-19
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Christos Faloutsos. Automatic Mining of Competing Local Activities. 2017. 10. 3. 1-15
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Analysis of electronic heath record using Deep Learning. 2017. 117. 212. 43-48
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Real-time Forecasting of Co-evolving Time Sequences. 2016. 9. 4. 32-45
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Patents (55):
Lectures and oral presentations (9):
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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)
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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)
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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)
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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)
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Recognizing Portable Electrical Device Usage by using Battery-shaped Sensor Nodes
(IEICE technical report 2012)
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