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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IPSJ-CVIM 2020-03-17
09:45		 Kyoto
(Cancelled but technical report was issued)		 Rule Extraction from convolutional neural networks -- Rule Extraction with A Pedagogical Method --
Yuya Sato (Tokyo Denki Univ), Hiroshi Tsukimoto (Tokyo Denki Univ.) PRMU2019-89		 We presented a decompositional method of rule extraction from convolutional neural networks in the past. However, we fou... [more] PRMU2019-89
pp.121-126
PRMU, CNR 2015-02-20
10:00		 Miyagi   Building Pedagogical Relationship between Humans and Robots
Hirofumi Okazaki, Yusuke Kanai (Keio Univ.), Kentaro Ishii (UTokyo), Michita Imai (Keio Univ.) PRMU2014-137 CNR2014-52		 We aim at building spontaneous pedagogical relationship between humans and robots. In order to build spontaneous pedagog... [more] PRMU2014-137 CNR2014-52
pp.113-117
CNR, IPSJ-ITS
(Joint)		 2013-06-14
13:00		 Kanagawa Raiosha, Keio Univ. [Invited Talk] Cognitive Science for producing Pedagogical Artifact
Kazuo Hiraki (Univ. of Tokyo) CNR2013-1		 This paper describes our project aiming to construct a pedagogical machine - an artifact that can help and enhance human... [more] CNR2013-1
pp.1-8
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