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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 1614 [Previous]  /  [Next]  
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
 Results 21 - 40 of 1614 [Previous]  /  [Next]  
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