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J-GLOBAL ID：200901001741439101   Update date: Feb. 01, 2024

Suzuki Einoshin

スズキ エイノシン | Suzuki Einoshin
Affiliation and department：
Kyushu University Graduate School of Information Science and Electrical Engineering

About Kyushu University Graduate School of Information Science and Electrical Engineering


Job title： Professor
Homepage URL  (2)： http://www.i.kyushu-u.ac.jp/~suzuki/suzuki-j.html ,  http://www.i.kyushu-u.ac.jp/~suzuki/
Research field  (1)： Intelligent informatics
Research keywords  (6)： Artificial intelligence ,  Autonomous mobile robot ,  機械学習 ,  デ-タマイニング ,  Machine Learning ,  Data Mining
Research theme for competitive and other funds  (28)：
  • 2021 - 2023 AI program that explains statistical data in an evil way by exploiting thinking traits of humans
  • 2018 - 2021 Anomalous/Exceptional Pattern Mining with Weak Label Information from Stream Data
  • 2015 - 2018 Detecting Peculiar Facial Expressions for Unspecified Persons Based on Sparse Coding
  • 2013 - 2016 Knowledge Discovery from Huge Data Ensemble by an Integration of Automatic Data Selection and Pattern Extraction
  • 2012 - 2014 Realization of Long-Term Monitoring by a Home-Use Autonomous Mobile Robot Using Concept Drift Modeling
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Papers (145)：
  • Ryosuke Miyake, Tetsu Matsukawa, Einoshin Suzuki. Image Generation from a Hyper Scene Graph with Trinomial Hyperedges. Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. 2023. 185-195
  • Liheng Shen, Tetsu Matsukawa, Einoshin Suzuki. Detecting Video Anomalous Events with an Enhanced Abnormality Score. PRICAI 2022: Trends in Artificial Intelligence - 19th Pacific Rim International Conference on Artificial Intelligence. 2022. 202-217
  • Kaikai Zhao, Takashi Imaseki, Hiroshi Mouri, Einoshin Suzuki, Tetsu Matsukawa. From Certain to Uncertain: Toward Optimal Solution for Offline Multiple Object Tracking. 2020 25th International Conference on Pattern Recognition (ICPR). 2021
  • Yusuke Ohtsubo, Tetsu Matsukawa, Einoshin Suzuki. Semi-Supervised Few-Shot Classification with Deep Invertible Hybrid Models. CoRR. 2021. abs/2105.10644
  • Muhammad Fikko Fadjrimiratno, Yusuke Hatae, Tetsu Matsukawa, Einoshin Suzuki. Detecting Anomalies from Human Activities by an Autonomous Mobile Robot based on "Fast and Slow" Thinking. Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. 2021. 943-953
ｍore...
MISC (14)：
  • Einoshin Suzuki. Special Issue on Discovery Science: Guest Editor's Introduction. The Computer Journal. 2013. 56. 3. 271-273
  • HOSHINO DAISUKE, THANOMPHONGPHAN THEERASAK, ANDO SHIN, SEKI YOUICHI, KUMAR SWAGAT, SUZUKI EINOSHIN. Discovery of Unusual Actions from Trajectory Data using Ensemble of Outlier Detection. 2010. 2010. 1. 1-7
  • Takashi Washio, Einoshin Suzuki, Kai Ming Ting. Best papers from the 12th Pacific-Asia conference on knowledge discovery and data mining (PAKDD2008). Knowledge and Information Systems. 2010. 25. 2. 209-210
  • Statistical Implicative Analysis, Theory and Applications. Statistical Implicative Analysis. 2008. 127
  • Advances in Knowledge Discovery and Data Mining, 12th Pacific-Asia Conference, PAKDD 2008, Osaka, Japan, May 20-23, 2008 Proceedings. PAKDD. 2008. 5012
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Books (16)：
  • 人工知能学大事典
    共立出版 2017
  • Discovery Science, Lecture Notes in Artificial Intelligence 3245 (DS)
    Springer-Verlag 2004
  • Discovery Science, Lecture Notes in Artificial Intelligence 3245 (DS)
    Springer-Verlag 2004
  • データマイニング (単著)
    AI 事典 第2版,共立出版 2003
  • Fast Boosting Based on Iterative Data Squashing (共著)
    Active Mining, New Directions of Data Mining, IOS Press 2002
ｍore...
Works (8)：
  • データベース・モデル協調システムの開発
    2001 - 2003
  • Development of a Cooperative System based on a data base model
    2001 - 2003
  • 発見科学
    2000 - 2001
  • Discovery Science
    2000 - 2001
  • アクティブマイニング
    2001 -
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Education (2)：
  • - 1993 The University of Tokyo
  • - 1993 The University of Tokyo Graduate School, Division of Engineering
Professional career (1)：
  • Dr. of Engineering (The University of Tokyo)
Work history (9)：
  • 2001 - 2006 Yokohama National University Faculty of Engineering, Division of Intelligent Systems Engineering
  • 2006 - - 九州大学大学院システム情報科学研究院情報理学部門教授
  • 1997 - 2001 横浜国立大学工学部電子情報工学科助教授
  • 1997 - 2001 Associate Professor, Department of Electrical and Computer Engineering, Faculty of Engineering, Yokohama National University
  • 2001 - - Associate Professor, Department of Electrical and Computer Engineering, Division of Intelligent Systems Engineering, Faculty of Engineering, Yokohama National University
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Committee career (16)：
  • 2019/01 - 2019/08 KDD 2019 PC member
  • 2018/01 - 2018/08 KDD 2018 PC member
  • 2017/01 - 2017/08 KDD 2017 PC member
  • 2016/01 - 2016/08 KDD 2016 PC member
  • 2015/01 - 2015/08 KDD 2015 PC member
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Awards (6)：
  • 2021/11 - PRICAI PRICAI 2021 Best Paper Award GIAD: Generative-Inpainting-Based Anomaly Detection from Salient Regions in Human Monitoring
  • 2020/02 - VISAPP VISAPP 2020 Best Poster Award Detecting Anomalous Regions from an Image Based on Deep Captioning",
  • 2003 - 2002年度人工知能学会論文賞
  • 1998 - 1997年度人工知能学会研究奨励賞
  • 1998 - 1997年度人工知能学会論文賞
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Association Membership(s) (5)：
AAAI ,  情報処理学会 ,  JSAI ,  IPSJ ,  AAAI
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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