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 498  /  [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) ICSS2023-87
In recent years, machine learning, particularly deep learning, has made remarkable strides, and has great impact on our ... [more] ICSS2023-87
pp.129-136
AP 2024-03-15
10:25
Fukui UNIVERSITY OF FUKUI
(Primary: On-site, Secondary: Online)
A Study on Path loss characteristics estimation methods considering geographical conditions for designing narrowband DR-IoT communication system
Takato Ikegame, Naoki Ikeda, Motonari Imai, Tetsushi Ikegami (Meiji Univ.), Mineo Takai (Osaka Univ.), Susumu Ishihara (Shizuoka Univ.), Arata Kato, Shugo Kajita (STE) AP2023-212
A versatile variable-range IoT communication system using the VHF-High band, Diversified-Range IoT (DR-IoT) is being con... [more] AP2023-212
pp.63-67
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.) CAS2023-135 CS2023-128
Uniform Convergence, a well-established framework for evaluating generalization in traditional Machine Learning, frequen... [more] CAS2023-135 CS2023-128
pp.134-139
RCS, SR, SRW
(Joint)
2024-03-13
16:15
Tokyo The University of Tokyo (Hongo Campus), and online
(Primary: On-site, Secondary: Online)
DOA Estimation Improvement Through Angle-Range-Reduced DNNs Specialized in Narrow DOA Range
Daniel Akira Ando, Toshihiko Nishimura, Takanori Sato, Takeo Ohgane, Yasutaka Ogawa (Hokkaido Univ.), Junichiro Hagiwara (Mukogawa Women's Univ.) RCS2023-266
In this work, we propose a strategy based on deep neural networks (DNNs) intended to support our past DNN method for dir... [more] RCS2023-266
pp.71-76
RCS, SR, SRW
(Joint)
2024-03-13
16:40
Tokyo The University of Tokyo (Hongo Campus), and online
(Primary: On-site, Secondary: Online)
A Plug-and-Play Module for Enhancing Fault-Tolerant Distributed Inference Based on Gaussian Dropout
Hou Zhangcheng, Ohtsuki Tomoaki (KU) RCS2023-267
Distributed inference (DI) in the Internet of Things (IoT) is becoming increasingly important as the demand for AI appli... [more] RCS2023-267
pp.77-82
IE, MVE, CQ, IMQ
(Joint) [detail]
2024-03-15
13:50
Okinawa Okinawa Sangyo Shien Center
(Primary: On-site, Secondary: Online)
IMQ2023-87 IE2023-142 MVE2023-116 This paper introduces physics-inspired synthesized underwater image dataset (PHISWID).
Deep learning approaches to unde... [more]
IMQ2023-87 IE2023-142 MVE2023-116
pp.396-401
IE, MVE, CQ, IMQ
(Joint) [detail]
2024-03-15
16:10
Okinawa Okinawa Sangyo Shien Center
(Primary: On-site, Secondary: Online)
Study of Sperm Quality Assessment from Video Data
Sigit Adinugroho, Atsushi Nakazawa (Okayama University) IMQ2023-91 IE2023-146 MVE2023-120
Human sperm quality assessment is necessary for a successful assisted reproduction program. Current assessment still rel... [more] IMQ2023-91 IE2023-146 MVE2023-120
pp.420-424
ITS, IEE-ITS 2024-03-11
14:00
Shiga BKC, Ritsumeikan Univ.
(Primary: On-site, Secondary: Online)
Doppler radar-based recognition of bicycle motions
Ryoya Hayashi, Masao Masugi, Kenshi Saho (Ritsumeikan Univ.) ITS2023-80
In this report, we present the results of an experiment in which a Doppler radar-based method was used to detect four be... [more] ITS2023-80
pp.7-10
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
We visualize the impact of skip connections, a key element in residual networks (ResNet), and visualize its impact on th... [more] NC2023-59
p.94
PRMU, IBISML, IPSJ-CVIM 2024-03-03
09:00
Hiroshima Hiroshima Univ. Higashi-Hiroshima campus
(Primary: On-site, Secondary: Online)
Analysis of the Impact of Different Resolutions and Datasets on the Architecture Searched with PC-DARTS
Kaisei Hara (Nagaoka Univ. of Technology/AIST), Kazuki Hemmi (Univ. of Tsukuba/AIST), Masaki Onisi (AIST/Univ. of Tsukuba) PRMU2023-57
In deep learning, image resolution is crucial to improve accuracy and generalizability. However, the research on the spe... [more] PRMU2023-57
pp.35-40
MI 2024-03-03
10:17
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
[Short Paper] Electric field regression from head MR image by transformers for TMS
Toyohiro Maki, Tatsuya Yokota, Akimasa Hirata, Hidekata Hontani (NIT) MI2023-36
Transcranial Magnetic Stimulation (TMS) is a non-invasive stimulation method by electric field induced by a coil placed ... [more] MI2023-36
pp.21-24
PRMU, IBISML, IPSJ-CVIM 2024-03-03
15:24
Hiroshima Hiroshima Univ. Higashi-Hiroshima campus
(Primary: On-site, Secondary: Online)
PRMU2023-62 (To be available after the conference date) [more] PRMU2023-62
pp.64-69
MI 2024-03-03
14:30
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
[Invited Lecture] Latest Research Trends 2023: Machine Learning for Medical Image Processing
Fukashi Yamazaki (Canon) MI2023-48
In this paper, we overview the outlines of MICCAI 2023’s main conference sessions and satellite workshops. Several inter... [more] MI2023-48
pp.53-55
PRMU, IBISML, IPSJ-CVIM 2024-03-04
09:00
Hiroshima Hiroshima Univ. Higashi-Hiroshima campus
(Primary: On-site, Secondary: Online)
PRMU2023-64 (To be available after the conference date) [more] PRMU2023-64
pp.76-81
PRMU, IBISML, IPSJ-CVIM 2024-03-04
09:24
Hiroshima Hiroshima Univ. Higashi-Hiroshima campus
(Primary: On-site, Secondary: Online)
PRMU2023-66 (To be available after the conference date) [more] PRMU2023-66
pp.88-93
PRMU, IBISML, IPSJ-CVIM 2024-03-04
11:16
Hiroshima Hiroshima Univ. Higashi-Hiroshima campus
(Primary: On-site, Secondary: Online)
PRMU2023-73 (To be available after the conference date) [more] PRMU2023-73
pp.128-133
HCS 2024-03-02
12:05
Shizuoka Tokoha University(Shizuoka-Kusanagi Campus) Estimation of willingness to participate in other's conversation by using deep learning of facial expression measurements
Kohei Yamamoto, Jiro Okuda (Kyoto Sangyo Univ.) HCS2023-92
In recent years, there has been much interest in developing agents that can join conversations among multiple people and... [more] HCS2023-92
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
EST 2024-01-26
13:50
Kyoto Kyoto University ROHM Plaza
(Primary: On-site, Secondary: Online)
A Study on Three-dimensional Electromagnetic Field Simulation Using Physics-Informed Neural Network Method
Kazuhiro Fujita (Saitama IT) EST2023-118
A neural network method based on physical laws in electromagnetics has been developed so far. However, its applicability... [more] EST2023-118
pp.108-111
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
 Results 1 - 20 of 498  /  [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