(Last updated : 2020-02-08 14:15:05)
  NAKADA Yohei
   Department   Undergraduate School  , School of Interdisciplinary Mathematical Sciences
   Position   Associate Professor
■ Books and Papers
1. 2018/10 Article "3D visualization tool for player and ball tracking data in basketball"  pp.372-381 (Collaboration) 
2. 2018/07 Article "Effects Selection Tool with Visual Saliency Map"  pp.109-112 (Collaboration) 
3. 2016/11 Article ``Improving on deterministic approximate Bayesian inferences for mixture distributions'' IEEE Transactions on Neural Networks and Learning Systems 27(16),pp.2282-2300 (Single) 
4. 2016/03 Article ``Predicting viewer-perceived activity/dominance in soccer games with stick-breaking HMM using data from a fixed set of cameras'' Multimedia tools and Applications 75(6),pp.3081-3119 (Collaboration) 
5. 2014/01 Article ``Online Bayesian learning with natural sequential prior distribution'' IEEE Trans Neural Netw Learn Syst. 25(1),pp.40-54 (Collaboration) 
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■ Conference Presentations
1. 2019/12/06 Quantification of pass plays based on geometric features of formations in team sports (The 10th International Symposium on Information and Communication Technology)
2. 2018/12/01 Effect-selection tool using visual saliency maps and its evaluations (Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems in conjunction with Intelligent Systems Workshop 2018)
3. 2018/12/01 Improvement of visualization method for attack patterns in team sports (Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems in conjunction with Intelligent Systems Workshop 2018)
4. 2018/08/31 Effects selection tool for improving visual attraction of a target object (IEEE 20th International Workshop on Multimedia Signal Processing)
5. 2017/11/28 Effects selection technique for improving visual attraction via vsual saliency map (The 2017 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2017))
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■ Academic Qualifications
1. 2009/02
Degree Acquisition
〔Doctoral course〕, Waseda University, Accomplished credits for doctoral program
2. 2009/02
Degree Acquisition
Waseda University,
3. 〔Master degree program〕, Waseda University, Completed,
4. Waseda University, Graduated,
■ Career History
1. 2018/04~ Associate Professor
2. 2014/04~2018/03 Lecturer
3. 2011/03~2014/04 Assistant Professor
4. 2010/04~2011/03 Research Assistant
5. 2006/04~2009/03 Research Assistant
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■ Research Topics, Consignment Studies & KAKENHI Researches
1. 2004/09~  Improvement of Bayesian learning methods  (Key Word : )