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 - 20 of 209  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
ICSS, IPSJ-SPT 2024-03-22
10:55
Okinawa OIST
(Primary: On-site, Secondary: Online)
Improved signature-embedding techniques against backdoor attacks on DNN models
Akira Fujimoto, Yuntao Wang, Atsuko Miyaji (OU)
(To be available after the conference date) [more]
CAS, CS 2024-03-15
14:45
Okinawa   Exploring Uniform Convergence in Neural Networks and its Implication on Generalization Error
Zong Xianzhe, Hiroshi Tamura (CHUO Univ.)
 [more]
IE, MVE, CQ, IMQ
(Joint) [detail]
2024-03-13
15:10
Okinawa Okinawa Sangyo Shien Center
(Primary: On-site, Secondary: Online)
Evaluating the Ranking Performance of Transferable Influencer Identification Methods with a Focus on Follower Counts of Influencers
Kota Tahara, Sho Tsugawa (UT)
(To be available after the conference date) [more]
NC, MBE
(Joint)
2024-03-12
11:40
Tokyo The Univ. of Tokyo
(Primary: On-site, Secondary: Online)
Generalization Model of Monkey V4 Neurons based on FCN encoder
Tsubasa Saito, Taisei Hara, Ko Sakai (Univ. of Tsukuba) NC2023-54
(To be available after the conference date) [more] NC2023-54
pp.65-68
NC, MBE
(Joint)
2024-03-12
14:45
Tokyo The Univ. of Tokyo
(Primary: On-site, Secondary: Online)
Visualization of the learning process of ResNet revealing its learning dynamics
Ryodo Yuge, Takashi Shinozaki (Kindai Univ.) NC2023-59
(To be available after the conference date) [more] NC2023-59
p.94
EMM 2024-03-02
16:20
Overseas Day1:JEJU TECHNOPARK, Day2:JEJU Business Agency [Fellow Memorial Lecture] Application of associative memory models to watermarking models
Masaki Kawamura (Yamaguchi Univ.) EMM2023-93
We proposed a new method called the associative watermarking method, which is an extension of the zero-watermarking meth... [more] EMM2023-93
pp.23-27
AI 2024-03-01
14:40
Aichi Room0221, Bldg.2-C, Nagoya Institute of Technology Request span extraction from dialog with Heterogeneous Graph Attention Networks
Naoki Mizumoto, Katsuhide Fujita (TUAT) AI2023-41
In this study, we formulate the problem of extracting user requests from the dialogue history as a ``span extraction pro... [more] AI2023-41
pp.25-30
PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM 2024-01-26
15:46
Kanagawa Keio Univ. (Hiyoshi Campus) PRMU2023-48 In the realm of autonomous driving, end-to-end models (E2EDMs) have gained prominence due to their high predictive accur... [more] PRMU2023-48
pp.46-49
NC, MBE, NLP, MICT
(Joint) [detail]
2024-01-24
10:00
Tokushima Naruto University of Education Hierarchical lossless compression of high dynamic range images using predictors based on cellular neural networks
Seiya Kushi, Kazuki Nakashima, Hideharu Toda (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.) NLP2023-85 MICT2023-40 MBE2023-31
We have been developing a scalable lossless coding method using cellular neural networks (CNN) as predictors. This metho... [more] NLP2023-85 MICT2023-40 MBE2023-31
pp.12-15
NC, MBE, NLP, MICT
(Joint) [detail]
2024-01-25
09:00
Tokushima Naruto University of Education The Relationship Between Metrics in the Latent Variable Space and Image Classification Performance
Haruki Wakasa, Kenya Jin'no (Tokyo City Univ.) NLP2023-99 MICT2023-54 MBE2023-45
In recent years, models based on convolutional neural networks (CNNs) have exhibited high performance in image classific... [more] NLP2023-99 MICT2023-54 MBE2023-45
pp.78-81
NLP 2023-11-28
13:50
Okinawa Nago city commerce and industry association Considerations on the distribution of latent variables in CNNs
Mizuki Dai, Kenya Jin'no (Tokyo City Univ.) NLP2023-65
Abstract Fully comprehending the output decision mechanisms of neural networks is a critical challenge. This article foc... [more] NLP2023-65
pp.31-34
SDM 2023-11-10
14:00
Tokyo
(Primary: On-site, Secondary: Online)
Examination of high high-precision device modeling methods -- Comparison of Neural Networks and Linear Regression --
Kengo Nakata, Takayuki Mori, Jiro Ida (Kanazawa Inst. Tech.) SDM2023-71
Neural network (NN) models have the advantage of high inference speed, but they are difficult to modeling. For this reas... [more] SDM2023-71
pp.36-40
MIKA
(3rd)
2023-10-10
15:35
Okinawa Okinawa Jichikaikan
(Primary: On-site, Secondary: Online)
[Poster Presentation] An Evaluation of the Generalizability of Influencer Prediction Models between Social Networks in Different Domains
Kota Tahara, Sho Tsugawa (ITF)
Identifying influencers on social media is one of the important research issues. Various methods for identifying influen... [more]
AI 2023-09-12
14:35
Hokkaido   Cooperative Agents for Federated Learning of Neural Machine Translation
Kantaro Kitagawa (Ritsumeikan Univ), Zhang Yuwang, Yohei Murakami (Ritsumeikan Univ) AI2023-28
Accurate neural machine translation requires large amounts of high-quality bilingual data, however due to the copyright ... [more] AI2023-28
pp.161-166
NS, IN, CS, NV
(Joint)
2023-09-08
09:00
Miyagi Tohoku University
(Primary: On-site, Secondary: Online)
Demonstrating Data Poisoning Attacks on Machine Learning Models with Multi-Sensor Inputs
Shyam Maisuria, Yuichi Ohsita, Masayuki Murata (Osaka Univ.) IN2023-31
Data poisoning attacks pose a significant threat to the integrity and reliability of machine learning models. These atta... [more] IN2023-31
pp.8-13
CQ, MIKA
(Joint)
2023-09-01
09:50
Fukushima Tenjin-Misaki Sports Park [Invited Lecture] An Evaluation of Methods for Identifying Influencers on Social Media using their Ego-Network Structures
Akira Hashimoto, Sho Tsugawa (Tsukuba Univ.), Keiichirou, Shintaro Igari (KDX) CQ2023-35
Identifying influencers on social media is an important research topic in the field of network science. This paper evalu... [more] CQ2023-35
pp.54-58
CQ, MIKA
(Joint)
(2nd)
2023-08-30
15:00
Fukushima Tenjin-Misaki Sports Park [Poster Presentation] A Study on Generalization of Broker Identification Methods between Social Networks in Different Domains
Kota Tahara, Sho Tsugawa (ITF)
Identifying influencers on social media who can spread information to many other users is one of the important research ... [more]
CQ, MIKA
(Joint)
(2nd)
2023-08-30
16:20
Fukushima Tenjin-Misaki Sports Park [Poster Presentation] An Evaluation of Methods for Identifying Influencers on Social Media using their Ego-Network Structures
Akira Hashimoto, Sho Tsugawa (Tsukuba Univ.), Keiichirou Tsukamoto, Shintaro Igari (KDX)
Identifying influencers on social media is an important research topic in the field of network science. This paper evalu... [more]
CCS, IN
(Joint)
2023-08-03
10:51
Hokkaido Banya-no-yu Preprocessing Study for Detecting Out-of-Distribution Image Data with Bayesian Neural Network
Koki Minagawa, Taisei Saito, Sena Kojima, Tetsuya Asai (Hokkaido Univ.) CCS2023-19
Out-of-distribution (OOD) data ditection is a critical issue in ensuring the security of machine learning models.
In th... [more]
CCS2023-19
pp.13-18
CQ 2023-07-12
14:50
Hokkaido
(Primary: On-site, Secondary: Online)
A Study on Influencer Prediction Methods Applicable to Dfferent Domains
Kota Tahara, Sho Tsugawa (ITF) CQ2023-12
Identifying influencers on social media who can spread information to many other users is one of the important research ... [more] CQ2023-12
pp.24-29
 Results 1 - 20 of 209  /  [Next]  
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