School personnel information

写真b

Maekawa Takuya


Organization 【 display / non-display

  • 2012.04.01 - , Department of Multimedia Engineering, Graduate School of Information Science and Technology, Associate Professor

 

Academic Papers 【 display / non-display

  • Upsampling Inertial Sensor Data from Wearable Smart Devices using Neural Networks, Naoya Yoshimura, Takuya Maekawa, Daichi Amagata, Takahiro Hara, Proc. of the 39th IEEE International Conference on Distributed Computing Systems (ICDCS 2019),pp.1983-1993, 2019.07, Conference Report / Oral Presentation

  • STEFTR: A Hybrid Versatile Method for State Estimation and Feature Extraction From the Trajectory of Animal Behavior, Yamazaki SJ, Ohara K, Ito K, Kokubun N, Kitanishi T, Takaichi D, Yamada Y, Ikejiri Y, Hiramatsu F, Fujita K, Tanimoto Y, Yamazoe-Umemoto A, Hashimoto K, Sato K, Yoda K, Takahashi A, Ishikawa Y, Kamikouchi A, Hiryu S, Maekawa T, Kimura KD., Frontiers in FNeuroscience,13(626), 2019.06, Papers

  • Preliminary Investigation of Alleviating User Cold-Start Problem in E-commerce with Deep Cross-Domain Recommender System, Hanxin Wang, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Kei Yonekawa, Hao Niu, Mori Kurokawa, Proc. of International Workshop on e-Commerce and NLP (ENLP 2019),pp.398-403, 2019.05, International Conference(Proceedings)

  • Behavior Matching between Different Domains based on Canonical Correlation Analysis, Yuan Lyu, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Kei Yonekawa, Hao Niu, Mori Kurokawa, Proc. of International Workshop on e-Commerce and NLP (ENLP 2019),pp.361-366, 2019.05, International Conference(Proceedings)

  • A Heterogeneous Domain Adversarial Neural Network for Trans-Domain Behavioral Targeting, Kei Yonekawa, Hao Niu, Mori Kurokawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Pacific Asia Workshop on Deep Learning for Knowledge Transfer (DLKT),pp.274-285, 2019.04, International Conference(Proceedings)

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