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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 4 of 4  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, MBE
(Joint)		 2024-03-12
10:25		 Tokyo The Univ. of Tokyo
(Primary: On-site, Secondary: Online)		 Devising Information Extraction Prompts from Dysfunctional Animal Experimental Papers Using Large Language Models
Iriya Horiguchi (U-Tokyo), Yuta Ashihara (Nichidai), Hiroshi Yamakawa (U-Tokyo) NC2023-51		 In this study, we investigated a method for extracting anatomical and physiological information about healthy and dysfun... [more] NC2023-51
pp.49-52
NC, MBE
(Joint)		 2023-03-15
09:55		 Tokyo The Univ. of Electro-Communications
(Primary: On-site, Secondary: Online)		 Toward the setting up of a tool for comprehensively extracting anatomical projections from the neuroscience literature
Yuta Ashihara (Nihon Univ/UTokyo/WBAI), Iliya Horiguch (UTokyo), Hiroshi Yamakawa (UTokyo/WBAI) NC2022-109		 Brain Reference Architecture(BRA), an approach to developing brain-based software, a functional component diagram (HCD) ... [more] NC2022-109
pp.99-104
MBE, NC 2022-12-03
09:55		 Osaka Osaka Electro-Communication University Hyperbolic Embedding for Out of Distribution
Shota Tatarai, Yuta Ashihara, Akihiro MIyata, Masahiko Osawa (Nihon Univ.) MBE2022-30 NC2022-52		  [more] MBE2022-30 NC2022-52
pp.32-37
MBE, NC, NLP, CAS
(Joint) [detail]		 2020-10-30
17:35		 Online Online Hyperbolic Space Embedding for Open Set Recognition
Shota Tatarai (Senshu Univ.), Yuta Ashihara (Nihon Univ/Glia Computing Co.,Ltd.), Kenji Aoki (Glia Computing Co.,Ltd.), Masahiko Osaawa (Nihon Univ./Senshu Univ.) NC2020-27		 Many of deep learning algorithms perform well when the training and testing data are sampled from the
same class space.... [more]		 NC2020-27
pp.100-105
 Results 1 - 4 of 4  /   
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