Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NLP |
2024-05-10 10:55 |
Kagawa |
Kagawa Prefecture Social Welfare Center |
Analysis of the role of latent variables in image classification in deep learning models Kenya Jin'no, Mizuki Dai, Haruki Wakasa, Hiroki Tamegai (Tokyo City Univ.) |
(To be available after the conference date) [more] |
|
ICSS, IPSJ-SPT |
2024-03-21 16:10 |
Okinawa |
OIST (Primary: On-site, Secondary: Online) |
Considerations on Differential Privacy Mechanisms in MNIST Naoki Kawahara, Pengxuan Wei, Ryunosuke Higashi, Kenta Okada, Tatsuhiro Yamatsuki, Atsuko Miyaji (Osaka Univ.) ICSS2023-79 |
In recent years, data utilization technologies, including machine learning, have been steadily advancing. One means of p... [more] |
ICSS2023-79 pp.71-78 |
WIT, IPSJ-AAC |
2024-03-18 10:25 |
Ibaraki |
Tsukuba University of Technology (Primary: On-site, Secondary: Online) |
AR Onomatopoeia Teaching System that Interactively Displays Onomatopoeia by Environmental Sound Recognition Yuito Arisumi, Yutaro Hirao, Monica Perusquia-Hernandez (NAIST), Naoya Isoyama (Otsuma Women's University), Hideaki Uchiyama, Kiyoshi Kiyokawa (NAIST) WIT2023-40 |
In recent years, due to the increase in foreign residents and the expansion of social participation among people with he... [more] |
WIT2023-40 pp.7-12 |
RCC, ISEC, IT, WBS |
2024-03-13 09:15 |
Osaka |
Osaka Univ. (Suita Campus) |
Performance Evaluation of Visible Light Communication System Using Imaginary Images based Image Classifier Masataka Naito, Tadahiro Wada, Kaiji Mukumoto (Shizuoka Univ.), Hiraku Okada (Nagoya Univ.) IT2023-78 ISEC2023-77 WBS2023-66 RCC2023-60 |
For visible light communication systems that utilizes machine learning-based image classifiers for information embedding... [more] |
IT2023-78 ISEC2023-77 WBS2023-66 RCC2023-60 pp.20-25 |
LOIS |
2024-03-14 14:05 |
Okinawa |
Okinawa Pref Danjyo-Kyoudou-Sankaku Center (Primary: On-site, Secondary: Online) |
Address Classification Method Considering Address Cluster in Blockchain Tomohiro Ojika, Shin Morishima (Toyama Prefectural Univ) LOIS2023-65 |
Blockchain is widely used for multiple applications because of its different features from existing finance, but due to ... [more] |
LOIS2023-65 pp.102-107 |
RCC, ISEC, IT, WBS |
2024-03-14 09:55 |
Osaka |
Osaka Univ. (Suita Campus) |
Comparison of accuracy of classification methods using machine learning for imaged malware Kenta Usui, Hiroki Tanioka, Masahiko Sano, Kenji Matsuura, Tetsushi Ueta (Tokushima Univ.) IT2023-114 ISEC2023-113 WBS2023-102 RCC2023-96 |
In recent years, the damage caused by malware has become more serious, and the increase in the number of variants of exi... [more] |
IT2023-114 ISEC2023-113 WBS2023-102 RCC2023-96 pp.254-258 |
RCC, ISEC, IT, WBS |
2024-03-14 10:20 |
Osaka |
Osaka Univ. (Suita Campus) |
Improving classification accuracy of imaged malware through data expansion Kaoru Yokobori, Hiroki Tanioka, Masahiko Sano, Kenji Matsuura, Tetsushi Ueta (Tokushima Univ.) IT2023-115 ISEC2023-114 WBS2023-103 RCC2023-97 |
Although malware-based attacks have existed for years,
malware infections increased in 2019 and 2020.
One of the reaso... [more] |
IT2023-115 ISEC2023-114 WBS2023-103 RCC2023-97 pp.259-264 |
IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-15 13:30 |
Okinawa |
Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
Study on Leftovers Prediction from Food Images Yuita Arum Sari, Atsushi Nakazawa (Okayama University) IMQ2023-86 IE2023-141 MVE2023-115 |
Leftover analysis is a valuable tool used by dietitians and nutritionists to assess a patient's calorie intake in health... [more] |
IMQ2023-86 IE2023-141 MVE2023-115 pp.390-395 |
EE |
2024-03-11 09:15 |
Tokyo |
(Primary: On-site, Secondary: Online) |
Design Methodology for Load-Independent WPT Systems Using Machine Learning Naoki Fukuda, Yutaro Komiyama, Wenqi Zhu, Yinchen Xie, Ayano Komanaka, Akihiro Konishi, Kien Nguyen, Hiroo Sekiya (Chiba Univ.) EE2023-58 |
This paper proposes a design method for load-independent wireless power transfer (WPT) systems using machine learning.
... [more] |
EE2023-58 pp.6-11 |
MI |
2024-03-03 09:41 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
A preliminary study on deep causal discovery model for image classification Ryohei Motoda, Megumi Nakao (Kyoto Univ.) MI2023-33 |
Although saliency map used in image classification can visualize the regions correlated with predicted class, it cannot ... [more] |
MI2023-33 pp.11-14 |
PRMU, IBISML, IPSJ-CVIM |
2024-03-03 16:30 |
Hiroshima |
Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Assessment of the Utility of Tumor Location Information in MR Image Classification Tsukasa Nishinakagawa, Yoshinari Takeishi, Jun'ichi Takeuchi (Kyushu Univ.) IBISML2023-43 |
MRI, or magnetic resonance imaging, is a medical imaging technique widely used in various healthcare settings. It utiliz... [more] |
IBISML2023-43 pp.21-28 |
MI |
2024-03-03 16:42 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Using Label Uncertainty for Learning Cell Nuclei Type Classifier with Strongly Noisy Supervised Signals Shingo Koide, Mauricio Kugler, Tatsuya Yokota (NIT), Koichi Ohshima, Hiroaki Miyoshi, Miharu Nagaishi (Kurume Univ.), Noriaki Hashimoto (RIKEN), Ichiro Takeuchi (Nagoya Univ.), Hidekata Hontani (NIT) MI2023-57 |
In this study, we construct a type classifier for cell nuclei of malignant lymphomas. Labelling by type is not easy, eve... [more] |
MI2023-57 pp.79-80 |
SIP, SP, EA, IPSJ-SLP [detail] |
2024-02-29 16:25 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Development of the mental disorder estimation model using voice Kaho Kato, Akihiko Takashima, Kei Kikuiri, Takeshi Yoshimura (NTT docomo) EA2023-74 SIP2023-121 SP2023-56 |
It is known that early dealing with psychological stress prevents the mental disorder such as depression from developing... [more] |
EA2023-74 SIP2023-121 SP2023-56 pp.79-84 |
SIP, SP, EA, IPSJ-SLP [detail] |
2024-02-29 15:10 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Lightweight and Interpretable Deep Learning Model for EEG-Based Sleep Stage Classification Aozora Ito, Toshihisa Tanaka (TUAT) EA2023-82 SIP2023-129 SP2023-64 |
Sleep scoring by experts is necessary for diagnosing sleep disorders. EEG is one of the essential physiological data for... [more] |
EA2023-82 SIP2023-129 SP2023-64 pp.127-132 |
SIP, SP, EA, IPSJ-SLP [detail] |
2024-03-01 14:25 |
Okinawa |
(Primary: On-site, Secondary: Online) |
[Invited Talk]
Getting Started With Environmental Sound Analysis and Synthesis Keisuke Imoto (Doshisha Univ.) EA2023-118 SIP2023-165 SP2023-100 |
With the development of machine learning techniques and improvements in computing power, audio analysis and synthesis te... [more] |
EA2023-118 SIP2023-165 SP2023-100 p.333 |
NS, IN (Joint) |
2024-02-29 11:10 |
Okinawa |
Okinawa Convention Center |
An unsupervised online learning-based traffic classification and anomaly detection method for 5G-IIoT systems Yuxuan Shi, Qianqian Pan, Akihiro Nakao (U Tokyo) NS2023-188 |
In the context of Society 5.0, the evolution of the Internet of Things (IoT) and its ever growing demands of massive Mac... [more] |
NS2023-188 pp.96-102 |
IA |
2024-01-25 16:10 |
Tokyo |
Kwansei Gakuin Univiversity, Marunouchi Campus (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Router Security Assessment Using CAPEC Vulnerability Assessment Criteria Yu-Chaing Wang, Tai-Ying Chiu, Bor-Yao Tseng, Bagus Tri Atmaja, Jiann-Liang Chen, Shih-Ping Chiu (NTUST), Jian-Chang Hsu (ITRI) IA2023-62 |
Our research addresses the nexus of router performance and security in contemporary cyberinfrastructure. Routers, pivota... [more] |
IA2023-62 pp.30-36 |
CQ, CBE (Joint) |
2024-01-26 13:40 |
Kumamoto |
Kurokawa-Onsen (Primary: On-site, Secondary: Online) |
Image analysis technology for estimating the optimum tomato harvest timing and developed AI camera Yasuhiro Okabe, Takefumi Hiraguri, Keita Endo, Naoki Yamada (NIT) CQ2023-66 |
If it were possible to mechanically estimate when tomatoes should be harvested timing, it would make harvesting easier f... [more] |
CQ2023-66 pp.76-81 |
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 |
NC, MBE, NLP, MICT (Joint) [detail] |
2024-01-25 16:00 |
Tokushima |
Naruto University of Education |
Design of an Efficient Activity Classification Model Focusing on the Characteristics of Egocentric Videos Kohei Baba, Kantaro Fujiwara (University of Tokyo), Gouhei Tanaka (Nagoya Institute of Technology) NLP2023-116 MICT2023-71 MBE2023-62 |
There are situations where egocentric videos have to be processed on wearable devices with limited computational resourc... [more] |
NLP2023-116 MICT2023-71 MBE2023-62 pp.153-157 |