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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 1620  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
CCS 2024-03-27
13:00
Hokkaido RUSUTSU RESORT Training of Encoder-Decoder models and its application towards edge computing
Koki Nobori, Hiiro Yamazaki, Kota Ando, Tetsuya Asai (Hokkaido Univ.) CCS2023-42
This study investigates the use of the Encoder-Decoder architecture and its application to generative AI for learning on... [more] CCS2023-42
pp.18-23
CCS 2024-03-27
14:00
Hokkaido RUSUTSU RESORT Evaluation of recurrent neural network training using multi-phase quantization optimizer
Hiiro Yamazaki, Itsuki Akeno, Koki Nobori, Tetsuya Asai, Kota Ando (Hokkaido Univ.) CCS2023-44
In this research, we apply "Holmes", an optimizer dedicated to edge training of neural networks, to recurrent neural net... [more] CCS2023-44
pp.30-35
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
ICSS, IPSJ-SPT 2024-03-22
14:55
Okinawa OIST
(Primary: On-site, Secondary: Online)
Adversarial Examples with Missing Perturbation Using Laser Irradiation
Daisuke Kosuge, Hayato Watanabe, Taiga Manabe, Yoshihisa Takayama, Toshihiro Ohigashi (Tokai Univ.) ICSS2023-97
In recent years, neural networks have made remarkable progress in the field of image processing and other areas, and the... [more] ICSS2023-97
pp.201-207
AP 2024-03-14
10:25
Fukui UNIVERSITY OF FUKUI
(Primary: On-site, Secondary: Online)
Direction of arrival estimation using neural networks and Uniform Cross Array for LoS-MIMO transmission
Motoshi Tawada, Yoshichika Ohta (SoftBank) AP2023-202
The feeder link between the fixed ground station and the HAPS requires high capacity to accommodate the traffic of termi... [more] AP2023-202
pp.7-10
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
RCC, ISEC, IT, WBS 2024-03-13
- 2024-03-14
Osaka Osaka Univ. (Suita Campus) Construction of an MDL Estimator with Tight Risk Bound in Simple ReLU Networks
Yoshinari Takeishi, Jun'ichi Takeuchi (Kyushu Univ.) IT2023-134 ISEC2023-133 WBS2023-122 RCC2023-116
We consider the problem of estimating the parameters of the final layer in two-layer neural networks with ReLU activatio... [more] IT2023-134 ISEC2023-133 WBS2023-122 RCC2023-116
pp.368-373
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)
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
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
The V4 field in the ventral visual pathway is situated as an intermediary region processing visual information crucial f... [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
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
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