Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
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 |
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, 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] |
2024-01-25 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 |
ET |
2024-01-20 15:55 |
Kyoto |
Kyoto University Yoshida Campus / Online (Primary: On-site, Secondary: Online) |
Difficulty-Controllable Question Generation of Reading Comprehension incorporating Answerability Evaluation Mechanism Ayaka Suzuki, Masaki Uto (UEC) ET2023-51 |
Question generation (QG) for reading comprehension is a technology for automatically generating questions related to giv... [more] |
ET2023-51 pp.38-44 |
AP, WPT (Joint) |
2024-01-17 16:00 |
Niigata |
Tokimate, Niigata University (Primary: On-site, Secondary: Online) |
[Invited Lecture]
A Proposal of Indoor Radio Propagation Estimation Method Using DCNN
-- On Input Maps for Improving Estimation Accuracy of Out-of-sight Areas -- Masamitsu Irikuchi, Tetsuro Imai (Tokyo Denki Univ.), Koshiro Kitao, Satoshi Suyama (NTTDOCOMO) AP2023-165 |
In the next generation communication system (6G), where further improvement of frequency utilization efficiency and powe... [more] |
AP2023-165 pp.30-34 |
EA, US (Joint) |
2023-12-23 10:05 |
Fukuoka |
|
Inspection of Fat Content in Frozen Albacore Using Multi-Channel A-Mode Ultrasound Suguru Yasutomi, Akira Sakai (Fujitsu), Masafumi Yagi (Tokai Univ.), Kanata Suzuki (Fujitsu), Hiroki Kashikura, Shuichiro Abe, Kaito Nakamura, Yuya Arai, Yuki Tajima, Keiichi Goto (Tokai Univ.) US2023-68 |
Albacore is a commercially important fish in Japan. Traditionally, experts determine its value by cutting and ob- servin... [more] |
US2023-68 pp.68-73 |
SIS |
2023-12-08 14:10 |
Aichi |
Sakurayama Campus, Nagoya City University (Primary: On-site, Secondary: Online) |
Improvement of Multi-task Training for Detection of Calcification Regions in Dental Panoramic Radiographs Kazuki Iwasaki, Mitsuji Muneyasu, Taito Murano, Soh Yoshida, Akira Asano (Kansai Univ.), Nanae Dewake, Nobuo Yoshinari (Matsumoto Dental Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital) SIS2023-43 |
Carotid arteries on dental panoramic radiographs may show areas of calcification, a sign of vascular disease. Detection ... [more] |
SIS2023-43 pp.105-110 |
ET |
2023-11-11 14:50 |
Kagawa |
Kagawa University Saiwai-cho (Main) Campus / Online (Primary: On-site, Secondary: Online) |
Uncertainty Estimation in Neural Automatic Scoring Applying Multitask Learning of Regression and Classification Yuto Takahashi, Masaki Uto (UEC) ET2023-31 |
In writing tests, grading by humans can be expensive and is not always sufficiently accurate. To resolve this problem, a... [more] |
ET2023-31 pp.40-46 |
AP |
2023-10-19 13:00 |
Iwate |
Iwate University (Primary: On-site, Secondary: Online) |
[Poster Presentation]
A Proposal of Indoor Radio Propagation Prediction Method by using DCNN Masamitsu Irikuchi, Teturo Imai (TDU), Koshiro Kitao, Satoshi Suyama (DOCOMO) AP2023-119 |
In the next generation communication system (6G), where further improvement of frequency utilization efficiency and powe... [more] |
AP2023-119 pp.115-116 |
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 |
MSS, CAS, SIP, VLD |
2023-07-06 14:40 |
Hokkaido |
(Primary: On-site, Secondary: Online) |
Convergence Acceleration of Particle-based Variational Inference by Deep Unfolding Yuya Kawamura, Satoshi Takabe (Tokyo Tech) CAS2023-8 VLD2023-8 SIP2023-24 MSS2023-8 |
Stein Variational Gradient Descent(SVGD) is a prominent particle-based variational inference method used for estimating ... [more] |
CAS2023-8 VLD2023-8 SIP2023-24 MSS2023-8 pp.37-42 |
MI |
2023-07-03 13:00 |
Miyagi |
Tohoku Univ. Sakura Hall |
[Special Talk]
Transition of Medical Imaging Koichi Ito (Tohoku Univ.) MI2023-10 |
Over the past decade, research in medical image processing has dramatically changed. In particular, feature extraction u... [more] |
MI2023-10 p.11 |
SR |
2023-05-11 15:10 |
Hokkaido |
Center of lifelong learning Kiran (Higashi Muroran) (Primary: On-site, Secondary: Online) |
[Short Paper]
Continuous Compressible Deep Joint Source Channel Coding Junichiro Yamada, Katsuya Suto (UEC) SR2023-11 |
Deep Joint Source Channel Coding (DeepJSCC), which designs a source and channel coding model with deep neural networks a... [more] |
SR2023-11 pp.58-60 |