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Committee Date Time Place Paper Title / Authors Abstract Paper #
SeMI, IPSJ-UBI, IPSJ-MBL 2024-03-01
11:30
Fukuoka   A Study on Time Series Analysis Method and LLM Application in Customer Support
Yoshiki Hayashi, Akihiro Chiba, Atsushi Toyama (NTT DOCOMO,), Tetsuya Shioda, Yuuki Taniguchi (NTT), Hiroki Asai (NTT DOCOMO,), Rin Kan (NTT), Takuya Kobayashi, Aogu Yamada, Gaku Ishikura, Ayaka Ueda, Satoshi Konishi (NTT DOCOMO,), Hisashi Kurasawa, Junji Tomita (NTT), Atsushi Sato (NTT DOCOMO,) SeMI2023-83
To provide fine-tuned support tailored to each customer, companies need to understand needs and issues from customer inf... [more] SeMI2023-83
pp.72-75
LOIS 2015-03-06
09:20
Okinawa   Effects of Presenting Rank Order Generated from Subsets
Takahiro Hata, Hitoshi Kawasaki, Hisashi Kurasawa, Motonori Nakamura, Hiroshi Sato, Akihiro Tsutsui (NTT) LOIS2014-79
We try to lead people to develop desirable behavior by showing their own ranking based on the amount of the behavior, wh... [more] LOIS2014-79
pp.105-110
MoNA, ASN, IPSJ-MBL, IPSJ-UBI
(Joint) [detail]
2015-03-02
15:40
Tokyo Shibaura Institute of Technology(Toyosu Campus) Proposal of a filtering method for pedestrian positioning using their attribute information
Jun Ishii, Hisashi Kurasawa, Hiroshi Sato, Motonori Nakamura (NTT), Atsuhiro Takasu, Kenro Aihara, Jun Adachi (NII) ASN2014-167
High-accuracy position estimation systems are needed for providing a service customized for each person based on their p... [more] ASN2014-167
pp.181-186
MICT, ASN, MoNA
(Joint)
2015-01-26
10:15
Wakayama Nanki Shirahama Estimating Effective Time of Event for Keeping Regular Customers
Hisashi Kurasawa, Takahiro Hata, Motonori Nakamura, Hiroshi Sato, Akihiro Tsutsui, Akinori Fujino, Katsuyoshi Hayashi, Koichi Takasugi (NTT) MoNA2014-61
Various events are held in order to keep regular customers. For planning an effective event, conventional methods quanti... [more] MoNA2014-61
pp.19-24
SR, AN, USN, RCS
(Joint)
2012-10-19
15:55
Fukuoka Fukuoka univ. Variable Selection Method in Multiple Regression with Incomplete Sensor Data
Hisashi Kurasawa, Hiroshi Sato, Atsushi Yamamoto, Hitoshi Kawasaki, Motonori Nakamura, Hajime Matsumura (NTT) USN2012-54
Participatory sensing brings incomplete sensor data due to the spatio-temporal uncertainty of the observation. We have t... [more] USN2012-54
pp.149-154
DE 2009-07-28
11:00
Hyogo Kobe fashion mart Maximal Metric Margin Partitioning for Similarity Search Index
Hisashi Kurasawa (Univ. of Tokyo), Daiji Fukagawa, Atsuhiro Takasu, Jun Adachi (NII) DE2009-3
A fundamental issue that confronts the development of an index for similarity searches in metric spaces is how to divide... [more] DE2009-3
pp.13-18
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