(Last updated : 2020-08-28 22:43:22)
  Hayashi Yoichi
   Department   Undergraduate School  , School of Science and Technology
   Position   Professor
■ Books and Papers
1. 2020/09 Article Does deep learning work well for non-image structured data? (Single) 
2. 2020/08 Article One-dimensional convolutional neural networks with feature selection for highly concise rule extraction from credit scoring datasets with heterogeneous attributes (Collaboration)  Link
3. 2020/06 Article Black Box Nature of Deep Learning for: Digital Pathology Beyond Quantitative to Qualitative Algorithmic Performances (Single) 
4. 2020/06 Article New unified insights on deep learning in radiological and pathological images: beyond quantitative performances to qualitative interpretation (Single) 
5. 2019/12 Article Browser Fingerprint Coding Methods Increasing The Effectiveness of User Identification in The Web Traffic (Collaboration) 
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■ Academic Qualifications
1. 1981/04~1984/03 〔Doctoral course〕 Management Science, Graduate School, Division of Science and Engineering, Tokyo University of Science, Completed, Dr. Engineering
2. 1981/03
Degree Acquisition
Tokyo University of Science, MS. Engineering
3. 1979/04~1981/03 〔Master degree program〕 Major in Management Science (Operations Research) Mainor in Systems Engieering, Graduate School of Science and Engineering, Tokyo University of Science, Completed,
4. 1975/04~1979/03 Department of Management Science, School of Engineering, Department of Management of Science, Tokyo University of Science, Graduated,
■ Career History
1. 2001/04~2002/01 University of Canterbury, New Zealand Visiting Professor
2. 1996/10 Meiji University Department of Computer Science Professor
3. 1994/04~1996/09 Meiji University Department of Computer Science Associate Professor
4. 1990/04~1991/01 University of Alabama at Birmingham, USA Visiting Professor
5. 1990/04~1994/03 Ibaraki University Department of Computer and Informarion Sciences Associate Professor
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■ Teaching Activities
● Efforts to Improve Educational Contents and Method (Including Teaching Evaluation)
1. 2008/04/01~2014/03/31 Faculty Development committee
■ Academic Associations Membership
1. ∟ Senior Member
■ researchmap Researcher Code
■ Social Activities
1. 2017/04~ Big Data and Cognitive Computing, Editorial Board Member
2. 2017/04~ Machine Learning and Knowledge Extraction, Editorial Board Member
3. 2013/06~2013/06 Neural Data Analysis: Ensemble Neural Network Rule Extraction and Its Theoretical and Historical Backgrounds
4. 2002/02~2009/12 "Neural Networks Journal, Action editor"
5. 2000/10~2017/01 Associate Editor of Artificial Intelligence in Medicine
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■ Research Topics, Consignment Studies & KAKENHI Researches
1. 2014~2017  Intelligent Data Mining Using Neural Networks and Its Application to Marketing  (Key Word : )
2. 1989  Rule Extraction from Trained Neural Network  (Key Word : Rule Extraction,Neural Network,)
■ Web Sites
■ Email Addresses
■ Award History
1. 1999/04 Best 7 Papers Memorial Prize, Fuzzy Sets and Systems, Vol.100 Memorial Supplement (which was carefully selected based on citation index and the opinions of The Editorial Board of Fuzzy Sets and Sytems.
■ Current Specialized Field
Intelligent informatics, Soft computing, Life, health and medical informatics, Medical systems, Money and finance, Social law, Business administration, Radiological sciences, Medical management and medical sociology  Link
■ Patents
■ KAKENHI Researcher Number
■ Research theme for prospective joint research
1. Collavorative Research on Development of Advanced Automated Driving Car using White Box AI Link
2. Collaborative Research on Development of Medical Image Diagnosis using White Box AI Link
3. Collaborative Research on White Box Medicine