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6 件の該当がありました. : このページのURL : HTML


国際会議
[1] Kei Yonekawa, Niu Hao, Mori Kurokawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, and Takahiro Hara, "Advertiser-Assisted Behavioral Ad-Targeting Via Denoised Distribution Induction," IEEE International Conference on Big Data, December 2019.
[2] Kei Yonekawa, Hao Niu, Mori Kurokawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, and Takahiro Hara, "A Heterogeneous Domain Adversarial Neural Network for Trans-Domain Behavioral Targeting," Pacific Asia Workshop on Deep Learning for Knowledge Transfer (DLKT), pages 274-285 April 2019.
[3] Mori Kurokawa, Hao Niu, Kei Yonekawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, and Takahiro Hara, "Virtual Touch-Point: Trans-Domain Behavioral Targeting Via Transfer Learning," In International Workshop on Big Data Transfer Learning (BDTL), pages 4762-4767 December 2018.
[4] Shuhei Yamazaki, Yosuke Ikejiri, Fumie Hiramatsu, Akiko Yamazoe-Umemoto, Kosuke Fujita, Yuki Tanimoto, Koichi Hashimoto, Takuya Maekawa, and Kotaro Kimura, "Learning-Dependent Behavioral Modulation of Sensory Behavior Revealed by Machine Learning and Optophysiological Analysis in a Virtual Environment," 21st International C. elegans Conference, June 2017.
[5] Shinoda Hiroyuki, Takeuchi Susumu, Teranishi Yuuichi, Harumoto Kaname, , and Shimojo Shinji, "A Ubiquitous Activity Navigation Method by Collaborative Filtering Based on Behavioral Characteristics," In Proc. of ICCE 2007, pages 297-302 November 2007.
基調講演/セミナー・パネル討論等
[1] Takuya Maekawa, "Deep Learning-Aided Knowledge Discovery from Animal Behavioral Data," Neuro 2019, July 2019.