Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
RCC, ISEC, IT, WBS |
2024-03-13 - 2024-03-14 |
Osaka |
Osaka Univ. (Suita Campus) |
Neural Network-based Compensation of Wideband Nonlinear Distortion for MIMO Transmission with Virtualized Terminal Taishi Watanabe, Takeo Ohseki, Issei Kanno (KDDI Research) IT2023-84 ISEC2023-83 WBS2023-72 RCC2023-66 |
(To be available after the conference date) [more] |
IT2023-84 ISEC2023-83 WBS2023-72 RCC2023-66 pp.60-65 |
RCC, ISEC, IT, WBS |
2024-03-13 - 2024-03-14 |
Osaka |
Osaka Univ. (Suita Campus) |
Phishing Detection Method Based on Machine Learning Using DNS Graph Yuki Ishida, Syota Nihei, Junko Sato, Atsushi Waseda, Masaki Hanada (Tokyo Univ. of Information Sciences) IT2023-129 ISEC2023-128 WBS2023-117 RCC2023-111 |
Recently, phishing scams have been on the rise, the need for effective defense methods against this phishing scams.
A b... [more] |
IT2023-129 ISEC2023-128 WBS2023-117 RCC2023-111 pp.337-342 |
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 |
NLP, MSS |
2024-03-14 10:00 |
Misc. |
Kikai-Shinko-Kaikan Bldg. |
Extraction of Traffic Accident High-Risk Areas Using Deep Learning of Map Images and Grad-CAM Kaito Arase, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) MSS2023-86 NLP2023-138 |
An attempt has been made to predict the traffic accident risk of each map tile image at zoom level 17 using a Convolutio... [more] |
MSS2023-86 NLP2023-138 pp.71-76 |
IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-13 14:50 |
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) CQ2023-76 |
Identifying influencers on social media who can spread information to many other users is one of the important research ... [more] |
CQ2023-76 pp.32-37 |
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 |
IA, SITE, IPSJ-IOT [detail] |
2024-03-13 14:05 |
Okinawa |
Miyakojima City Future Creation Center (Primary: On-site, Secondary: Online) |
Perceptual Hashing Based on CNN Node Responses Yusei Sugawara, Kaito Hosono, Tetsuya Morizumi, Hirotsugu Kinoshita (Kanagawa Univ.) SITE2023-101 IA2023-107 |
As technology advances, unauthorized duplication of images has become a serious issue related to copyright infringement.... [more] |
SITE2023-101 IA2023-107 pp.203-210 |
NC, MBE (Joint) |
2024-03-11 11:15 |
Tokyo |
The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
Topological Multi Reservoir Computing for Spatiotemporal Data Mining Daisuke Takeda, Junya Kato, Ryo Natsuaki, Akira Hirose (UT) NC2023-45 |
Recently, advancements in sensor technology, Internet of Things (IoT) devices, high-speed mobile communication, and the ... [more] |
NC2023-45 pp.13-18 |
NC, MBE (Joint) |
2024-03-12 14:45 |
Tokyo |
The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
Investigating the Effect of Skip Connection on Learning Dynamics in the Initial Learning Process of Deep Neural Networks 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 |
NC, MBE (Joint) |
2024-03-11 10:25 |
Tokyo |
The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
Potential of neural network for CT with divided cross sectional image using scattered X-ray Taiki Matsushita, Naohiro Toda (APU) MBE2023-68 |
In the X-ray CT(Computed Tomography) scattered X-rays have been removed by the detector grid. However several author hav... [more] |
MBE2023-68 pp.1-4 |
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 |
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 |
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 |
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 |
AI |
2024-03-01 13:40 |
Aichi |
Room0221, Bldg.2-C, Nagoya Institute of Technology |
Applying Graph Neural Networks and Reinforcement Learning to the Multiple Depot-Multiple Traveling Salesman Problem Dongyeop Kim, Toshihiro Matsui (NITech) AI2023-39 |
In this study, we introduce a method combining Graph Neural Networks (GNN) and reinforcement learning for the Multiple D... [more] |
AI2023-39 pp.13-18 |
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 |