IEICE Technical Committee Submission System
Conference Schedule
Online Proceedings
[Sign in]
Tech. Rep. Archives
    [Japanese] / [English] 
( Committee/Place/Topics  ) --Press->
 
( Paper Keywords:  /  Column:Title Auth. Affi. Abst. Keyword ) --Press->

All Technical Committee Conferences  (Searched in: All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 4 of 4  /   
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
 Results 1 - 4 of 4  /   
Choose a download format for default settings. [NEW !!]
Text format pLaTeX format CSV format BibTeX format
Copyright and reproduction : All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan