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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
IT 2020-12-01
15:40		 Online Online [Invited Talk] Current Developments and Future Perspectives of Analytics for Business Data
Masayuki Goto (Waseda Univ.) IT2020-27		 This paper introduces trends in the application of advanced technologies of data analysis such as artificial intelligenc... [more] IT2020-27
pp.15-20
SWIM 2019-11-30
16:35		 Tokyo TUS Kagurazaka Campus Fujimi Bldg. City and corporate governance of the use of Artificial Intelligence -- Sustainable smart cities implementation through Systems Approach and Machine Learning Systems Engineering --
Hiroyuki Ogura, Shunsuke Managi (Kyushu Univ.), Masahiko Ishino (Bunkyo Univ.) SWIM2019-24		 In this paper, we consider a city and corporate governance model of the use of new digital technologies including Artifi... [more] SWIM2019-24
pp.29-36
CAS, NLP 2018-10-19
09:55		 Miyagi Tohoku Univ. Price Prediction of Used Cars at Auto Auction by Deep Learning
Hiromichi Sakurai, Daiki Kudo (Ibaraki Univ.), Eriko Hasegawa, Rikozou Shimoyama, Ryosuke Fukunishi, Hiroki Mayuzumi (PROTO), Tomoya Suzuki (Ibaraki Univ.) CAS2018-50 NLP2018-85		 Dealers of used cars have to predict future auction prices when buying used cars.
However, it is very difficult to pred... [more]		 CAS2018-50 NLP2018-85
pp.69-74
MoNA 2018-08-03
13:10		 Hokkaido Otaru Citizen Center MOTIVE: a Motivation-Driven Knowledge Sharing Framework across Benefit-Aware Business Units
Sunyanan Choochotkaew, Hirozumi Yamaguchi, Teruo Higashino (Osaka Univ.) MoNA2018-20		 Evolution of Internet of Things and Cyber-Physical Systems encourages a considerable enhancement in widespread. Knowledg... [more] MoNA2018-20
pp.77-82
NLP, CCS 2018-06-10
13:35		 Kyoto Kyoto Terrsa Prediction of Foreign Exchange Rates by Trading Records of Clients -- Using Collective Intelligence of non-professional Views --
Kazuto Yano, Tomoya Suzuki (Ibaraki Univ) NLP2018-46 CCS2018-19		 Foreign-exchange trading (FX) is well known as an asset management method like stock investment. Individual traders basi... [more] NLP2018-46 CCS2018-19
pp.103-108
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