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Yosuke Motohashi's Page

Yosuke Motohashi

Data Mining Technology Group
Data Science Research Laboratories
Principal Researcher

Big Data Strategy Division
Senior Data Analyst

1753, Shimonumabe, Nakahara-ku, Kawasaki-shi, Kanagawa, 211-8666, Japan

Research Domains

  • Data Mining
  • Knowledge Management
  • Computer Supported Cooperative Work
  • Machine Learning, Statistical Learning

Publication List

International Conference

  • Jialei Wang, Ryohei Fujimaki, Yosuke Motohashi, Trading Interpretability for Accuracy: Oblique Treed Sparse Additive Models, Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2015
  • Haruka Suematsu, Sayaka Yagi, Takayuki Itoh, Yosuke Motohashi, Kenji Aoki, Satoshi Morinaga. A Heatmap-Based Time-Varying Multi-variate Data Visualization Unifying Numeric and Categorical Variables. In Information Visualisation (IV), 18th International Conference, 2014.
  • Gregorio Convertino, Victoria Bellotti, Nozomi Ikeya, Oliver Brdiczka, Ayako Hoshino, Motohiko Sakaguchi, Yosuke Motohashi, Hidekazu Sakagami: Opportunities for proactive support of reuse and organizational learning in ad hoc collaborative work activity: A field study of proposal writing, CTS 2011
  • Masaki Shuzo, Makoto Shimura, Yousuke Motohashi, Jean-Jacques Delaunay, and Ichiro Yamada: A communication terminal for sending and receiving ambient information. Korea-Japan Design Engineering Workshop 2008, 2008. and architecture of fault-tolerant systems --," The University of Tokyo, 1999.

Curriculum Vitae

Educational Background

  • March 2004: Bachelor of Engineering Department of Mechanical Engineering, The University of Tokyo
  • March 2006: Master of Engineering Department of Mechanical Engineering, University of Tokyo

Professional Experience

  • April 2006: Central Research Labs., NEC
  • April 2013: Assistant Manager, Data Mining Research Group, NEC
  • April 2014: Senior Data Analyst, Big Data Strategy Division, NEC (Concurrent-Job)
  • April 2015: Principal Researcher, Data Mining Research Group, NEC

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