Einoshin Suzuki | Last modified date:2023.11.27 |
Professor /
Intelligent Science Division
Department of Informatics
Faculty of Information Science and Electrical Engineering
Department of Informatics
Faculty of Information Science and Electrical Engineering
Graduate School
Undergraduate School
Homepage
https://kyushu-u.elsevierpure.com/en/persons/einoshin-suzuki
Reseacher Profiling Tool Kyushu University Pure
http://www.i.kyushu-u.ac.jp/~suzuki/
Professor Einoshin Suzuki (Data Mining, Machine Learning, Discovery Robot) .
Academic Degree
Doctor of Engineering
Country of degree conferring institution (Overseas)
No
Field of Specialization
Data Mining, Machine Learning, Discovery Robot, Knowledge Discovery
Total Priod of education and research career in the foreign country
00years03months
Outline Activities
I have been working on research including data mining, machine learning, and discovery robots.
My efficient discovery of exception rules with their corresponding normal rules is recognized as a pioneering piece of work. From 2001 to 2005, I was heading a team in Scientific Research on Priority Area “Data Mining” sponsored by MEXT and contributed to its success in various ways, especially through medical mining research. I was honored the best paper prize of JSAI twice and served to many international conferences including the Workshops Chair of ICDM-2002 and the PC Vice Chair of ICDM-2004.
My efficient discovery of exception rules with their corresponding normal rules is recognized as a pioneering piece of work. From 2001 to 2005, I was heading a team in Scientific Research on Priority Area “Data Mining” sponsored by MEXT and contributed to its success in various ways, especially through medical mining research. I was honored the best paper prize of JSAI twice and served to many international conferences including the Workshops Chair of ICDM-2002 and the PC Vice Chair of ICDM-2004.
Research
Research Interests
Membership in Academic Society
- Anomalous/Exceptional Pattern Mining with Weak Label Information from Stream Data
keyword : Anomaly/Exception Discovery, Stream Data Mining, Weak Label Learning, Patern Mining
2018.04. - Detection of Peculiar Facial Expression of Unspecified Persons Based on Sparse Coding
keyword : Outlier detection, Human monitoring
2015.04. - Long-Term Monitoring by a Consumer Autonomous Mobile Robot
keyword : Representative Example Selection, Autonomous Mobile Robot
2012.04. - Data Stream Management by Autonomous Mobile Robots
keyword : Autonomous Mobile Robot, Data Mining, Database
2011.03. - Knowledge Discovery from a Huge Data Ensemble by Integrating Automatic Data Selection and Pattern Extraction
keyword : Big Data, Data Mining
2013.04. - Multi-task data mining based on dynamic representation bias
keyword : constructive induction, multi-task data mining
2008.04Multi-task data mining based on dynamic representation bias. - Structured data mining system that considers mutual interaction of structured rules
keyword : data mining
2006.04Structured data mining system that considers mutual interaction of structured rules. - Integrating Symbolic Discovery with Numerical Machine Learning for Autonomous Swarm Control
keyword : controlling swarm robots, machine learning, data mining
2008.04~2012.09Integrating Symbolic Discovery with Numerical Machine Learning for Autonomous Swarm Control.
- Grants-in-Aid for Challenging Research (Exploratory)
- Grant-in-Aid for Scientific Research (B)
- Kaken Challenging Exploratory Research
- Grant-in-Aid for Scientific Research (B)
- Data Stream Management by Autonomous Mobile Robots
- Kaken Challenging Exploratory Research
- Grant-in-Aid for Scientific Research (B)
- Integrating Symbolic Discovery with Numerical Machine Learning for Autonomous Swarm Control
- Japanese Society for Artificial Intelligence
- Information Processing Society of Japan
- AAAI
- GIAD: Generative Inpainting-Based Anomaly Detection via Self-Supervised Learning for Human Monitoring
- Detecting Anomalous Regions from an Image Based on Deep Captioning
- Worst-case Analysis of Rule Discovery Based on Generality and Accuracy
- Discovery of Exception Rules Based on the Reliability Evaluation
- Exceptional Knowledge Discovery in Databases Based on an Information-theoretic Approach
- Discovery System for Exception Knowledge Based on a Stochastic Confidence Evaluation Method
Educational
Educational Activities
From April 2007, 9 doctor course student, 41 master students, and 37 bachelor course students received their degrees under my supervision in Kyushu University.
From April 1996 to March 2006, 23 master course students and 54 bachelor course students received their degrees under my supervision in Yokohama National University.
Other Educational Activities
From April 1996 to March 2006, 23 master course students and 54 bachelor course students received their degrees under my supervision in Yokohama National University.
- 2006.12, Committee Member of Ph.D. thesis examination of Ms Marie Agier, University of Clermont-Ferrand 2, France.
Social
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