Research

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    • JSAI2019 Student Incentive Award: “Generative Query Networks as Meta-Learning”

      谷口尚平, 岩澤有祐, 松尾豊(受賞者:谷口尚平)

    • Best Student Paper Award at Web Intelligence 2019, “Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural Network”

      Hiromi Nakagawa, Yusuke Iwasawa, Yutaka Matsuo (受賞者 Hiromi Nakagawa)

    • Developing AI talent through community-based education

      教育家庭新聞元旦号, 教育家庭新聞

    • Active in the AI Era

      ドリームナビ, 四谷大谷

    • Semi-supervised Multimodal Learning with Deep Generative Models

      鈴木雅大, 松尾豊

      情報処理学会論文誌, Vol. 59, No. 12 (2018)

    • Generating Pseudo-Skill Tags by Extension of Deep Knowledge Tracing

      中川大海, 那須野薫, 岩澤有祐, 上野山勝也, 松尾豊

      人工知能学会論文誌, Vol. 33, No. 3 (2018)

    • 深層学習

      Ian Goodfellow, Yoshua Bengio, Aaron Courville, 岩澤 有祐, 鈴木 雅大, 中山 浩太郎, 松尾 豊(監修)

      KADOKAWA/中経出版

    • Quantification of Road Surface Conditions from Wheelchair Sensing Data Using Deep Convolutional Neural Networks

      高橋宏紀, 長峯洸弥, 岩澤有祐, 松尾豊, 矢入郁子

      電子情報通信学会論文誌, Vol.J101-D,No.6,pp.-,Jun. (2018).

    • Predicting the popularity of content using vector representations learned from Wikipedia’s edit history

      野中尚輝, 中山浩太郎, 松尾豊

      電子情報通信学会論文誌(特集号), No.4, pp.657-668 (2018)

    • JSAI2018 Student Incentive Award: “Expressive speech combining by modeling diversity of expression using variational self-coders.”

      阿久澤圭, 岩澤有祐, 松尾豊 (受賞者:阿久澤圭)