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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2023-02-21 10:00 |
Hokkaido |
Hokkaido Univ. |
Advertisement Banner Layout Generation based on Evolutionary Computation Soichiro Terasaka (UTokyo), Hiroyuki Seshime (Septeni Japan), Toshihiko Yamasaki (UTokyo) ITS2022-42 IE2022-59 |
Digital advertisements play an important role in today's websites and smartphone applications for the purpose of maintai... [more] |
ITS2022-42 IE2022-59 pp.5-10 |
CQ, ICM, NS, NV (Joint) |
2021-11-26 16:15 |
Fukuoka |
JR Hakata Stn. Hakata EkiHigashi Rental Room (Primary: On-site, Secondary: Online) |
Design and prototyping of a Zero-Trust Access Control Mechanism to Verify User Authenticity Taisho Sasada, Yuto Masuda, Yuzo Taenaka, Youki Kadobayashi, Doudou Fall (NAIST) NS2021-95 |
As telework becomes more widespread, there will be more opportunities to remotely access data required for business from... [more] |
NS2021-95 pp.56-61 |
IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-05 09:45 |
Fukuoka |
Kyushu Institute of Technology (Cancelled but technical report was issued) |
Predicting the online video advertising effectiveness with multimodal deep learning Jun Ikeda, Hiroyuki Seshime, Xueting Wang, Toshihiko Yamasaki, Kiyoharu Aizawa (UTokyo) IMQ2019-41 IE2019-123 MVE2019-62 |
In this research, we propose a method for predicting the Click Through Rate of video ads and analyzing the factors that ... [more] |
IMQ2019-41 IE2019-123 MVE2019-62 pp.133-136 |
CQ, MVE, IE, IMQ (Joint) [detail] |
2018-03-08 15:30 |
Okinawa |
Okinawa Industry Support Center |
Banner Click Through Rate Classification Using Deep Neural Convolutional Network Nicolas Michel (Univ. Of Tokyo), Hayato Sakata (SMN), Keita Kurita, Toshihiko Yamasaki (Univ. Of Tokyo) IMQ2017-43 IE2017-135 MVE2017-85 |
In banner advertising, Click Through Rate (CTR) is one of the most important indicators to evaluate one
advertisement?s... [more] |
IMQ2017-43 IE2017-135 MVE2017-85 pp.101-106 |
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