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Our Researchers

December 22, 2022

Akira Tanimoto

Ph.D.
Senior Researcher
Data Mining
Data Science Research Labs

Research area

  • Machine Learning for Decision Making (Causal Inference, Offline Reinforcement Learning, Sample-Efficiency)

Dissertation

  • Akira Tanimoto, Goal-oriented modeling for data-driven decision making, Kyoto University, 2021.

Papers

  • Akira Tanimoto, So Yamada, Takashi Takenouchi, Masashi Sugiyama, Hisashi Kashima. Improving imbalanced classification using near-miss instances, Expert Systems with Applications, 2022.
  • Akira Tanimoto, Tomoya Sakai, Takashi Takenouchi, Hisashi Kashima.
    Regret Minimization for Causal Inference on Large Treatment Space. International Conference on Artificial Intelligence and Statistics (AISTATS), 2021.
  • Akira Tanimoto, Tomoya Sakai, Takashi Takenouchi, Hisashi Kashima. Causal Combinatorial Factorization Machines for Set-wise Recommendation. In Proceedings of the 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2021.
  • Akira Tanimoto, "Combinatorial Q-Learning for Condition-Based Infrastructure Maintenance," in IEEE Access, vol. 9, pp. 46788-46799, 2021.
  • Shogo Hayashi, Akira Tanimoto, Hisashi Kashima, Long-Term Prediction of Small Time-Series Data Using Generalized Distillation, In Proceedings of the 2019 International Joint Conference on Neural Networks (IJCNN), 2019.
  • Akira Tanimoto, Naoya Takeishi, Takehisa Yairi, Yuichi Tsuda, Fuyuto Terui, Naoko Ogawa, Yuya Mimasu, Fast estimation of asteroid shape and motion for spacecraft navigation, IEEE International Conference on Robotics and Biomimetics (ROBIO), Shenzhen, China, 2013.

Academic society, communicty, etc.

  • The Japanese Society for Artificial Intelligence

Academic/professional career summary

March 2012
B.S. in Department of Engineering, The University of Tokyo
March 2014
M.S. in Graduate School of Engineering, The University of Tokyo
April 2014-
Researcher at NEC
September 2021
Ph.D. in Informatics, Kyoto University