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All Technical Committee Conferences (Searched in: Recent 10 Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP, MSS | 2025-03-14 15:35 |
Okinawa | Miyakojima City Central Community Center | A basis transformation of time series signals using classical multi-dimensional scaling and its application to network inference Mayu Ohira, Yutaka Shimada (Saitama Univ.)  MSS2024-107 NLP2024-148 |
Real-world systems can be described as coupled dynamical systems, which sometimes exhibit complex behavior due to the i... [more] |
MSS2024-107 NLP2024-148 pp.203-207 |
| ICSS, IPSJ-SPT | 2025-03-07 15:30 |
Okinawa | Okinawa Prefectural Museum & Art Museum | Evaluating the Classification Accuracy of an LLM for Sandbox Evasion Proof-of-Concept Code Yukihiro Higashi, Hikaru Matsuzawa (YOKOHAMA National Univ.), Rui Tanabe (YOKOHAMA National Univ./Juntendo Univ.), Yin Minn Pa Pa, Katsunari Yoshioka (YOKOHAMA National Univ.) ICSS2024-112 |
In addressing countermeasures against evasive malware, it is essential to validate mitigation techniques using Proof of ... [more] | ICSS2024-112 pp.338-343 |
| ICSS, IPSJ-SPT | 2025-03-07 17:05 |
Okinawa | Okinawa Prefectural Museum & Art Museum | Discovery and Analysis of Cybercrime-Related Telegram Channels using the Similar Channel Recommendation Feature Riku Aoto, Yin Minn Pa Pa, Katsunari Yoshioka (YNU) ICSS2024-120 |
Telegram has become a major hub for cybercriminals in recent years. This paper proposes a system to efficiently discover... [more] | ICSS2024-120 pp.399-406 |
| NC, MBE (Joint) |
2025-03-05 11:15 |
Tokyo | (Primary: On-site, Secondary: Online) |
Proposal for a System to Improve Shooting Form, Including Sensory Feedback Genta Yoshioka (Kagawa Kosen) NC2024-62 |
In sports, athletes are instructed to perform with the correct form to achieve better performance. With advancements in ... [more] | NC2024-62 pp.11-14 |
| EA, SIP, SP, IPSJ-SLP [detail] | 2025-03-03 12:20 |
Okinawa | Memory-efficient and low-computational hierarchical musical instruments classification using element selection Ryu Kato (Tokyo Metropolitan Univ.), Natsuki Ueno (Kumamoto Univ./), Nobutaka Ono (Tokyo Metropolitan Univ.), Ryo Matsuda, Kazunobu Kondo, Yu Takahashi (Yamaha Corp.) EA2024-111 SIP2024-146 SP2024-52 |
We focus on a hierarchical classification approach for musical instruments classification using machine learning to redu... [more] | EA2024-111 SIP2024-146 SP2024-52 pp.215-220 |
|
| NS, NWS (Joint) |
2025-01-23 11:35 |
Osaka | Higashi-Yodogawa Community Center + Online (Primary: On-site, Secondary: Online) |
Device Type Classification based on Traffic Analysis Using Graph Chikako Takasaki, Tomohiro Korikawa, Kyota Hattori (NTT) NS2024-173 |
In the beyond 5G and 6G networks, the number of connected devices and their types of services will greatly increase incl... [more] | NS2024-173 pp.19-24 |
| MBE, MICT, IEE-MBE [detail] | 2025-01-23 12:30 |
Fukuoka | Kyushu Institute of Technology | Analysis of Response of Large Language Model to the Difficult Medical Engineering Examinations Kai Ishida (SIT) MICT2024-54 MBE2024-35 |
Recently, large language models (LLM) have quickly gained popularity in medical applications. It has been reported that ... [more] | MICT2024-54 MBE2024-35 pp.30-33 |
| PRMU, IPSJ-CVIM, IPSJ-CGVI, IPSJ-DCC | 2024-11-29 11:25 |
Fukui | (Primary: On-site, Secondary: Online) |
Self-supervised Contrastive Learning for Remote Sensing Imagery with Perlin noise injection Riku Okazawa, Eisaku Maeda (Tokyo Denki Univ.) PRMU2024-11 |
With the increasing use of satellites, the application of remote sensing (RS) imagery is rapidly advancing. Deep learnin... [more] | PRMU2024-11 pp.19-24 |
| SRW, SeMI (Joint) |
2024-11-28 16:40 |
Tokyo | Tokyo Univ. of Science Katsushika Campus (Primary: On-site, Secondary: Online) |
[Short Paper]
Image Classification Wearable System Combining Depth and RGB Cameras for Various Illumination Conditions Reima Yamazaki (TDU), Zhijie Xie (Science Tokyo), Shuji Ohji (Chudenko), Masayuki Iwai (TDU) SRW2024-35 SeMI2024-47 |
According to an analysis of occupational accidents by the Ministry of Health, Labour and Welfare (MHLW), the number of a... [more] | SRW2024-35 SeMI2024-47 pp.41-46 |
| QIT (2nd) |
2024-11-26 13:20 |
Kagawa | Sunport Hall Takamatsu | [Poster Presentation]
Feature extraction by photon-based quantum extreme learning machine
-- Analysis of non-classical high-dimensional nonlinear projection -- Akio Yoshizawa (AIST) |
Extreme learning machine (ELM) is a feedforward neural network with a single or multiple hidden layers. Unlike the convo... [more] | |
| SR | 2024-11-04 14:55 |
Overseas | Fraunhofer IPT | [Poster Presentation]
A Proposed Wireless Application Classification Method Using Low Sampling Rate Power Detectors Kodai Yaginuma, Osamu Takyu (Shinshu Univ.) SR2024-59 |
Conventional power detection with high sampling rate is used for detailed wireless environment analysis and highly accur... [more] | SR2024-59 pp.34-36 |
| ICTSSL, IEE-SMF, IN, NWS | 2024-10-11 13:30 |
Hiroshima | (Primary: On-site, Secondary: Online) |
Comparison of Effects of VLM-based Image-to-Text on Machine Classifications for Visualizing Tourism Tweets as Instances Yuto Fujidai, Shun Hattori, Wataru Sunayama (THE UNIVERSITY OF SHIGA PREFECTURE) IN2024-53 |
One potential application of travel activity data is visualization, which can aid in the decision-making process for new... [more] | IN2024-53 pp.60-64 |
| NLC | 2024-09-03 11:00 |
Hokkaido | Hokkaido University. The Clark Memorial Student Center. (Primary: On-site, Secondary: Online) |
EWS: the Economic Watcher Survey Datasets and Tasks for the Financial and Economic Domain Masahiro Suzuki (The Univ. of Tokyo), Hiroki Sakaji (Hokkaido Univ.) NLC2024-18 |
We construct a large dataset corresponding to three financial and economic domain text classification tasks, including s... [more] | NLC2024-18 pp.99-104 |
| IN, CCS (Joint) |
2024-07-30 11:10 |
Hokkaido | Moerenuma Park Glass Pyramid | The impact of each layer of feature extractors on class separability Chisato Takahashi, Kenya Jin'no (Tokyo City Univ.) CCS2024-37 |
There is a method called Network Architecture Search (NAS) that automatically explores the optimal structure of neural n... [more] | CCS2024-37 pp.48-51 |
| RCC, RCS, SeMI, NS, SR, RISING (Joint) |
2024-07-19 16:20 |
Hokkaido | Hokkaido Citizens Activities Promotion Center (Primary: On-site, Secondary: Online) |
Feature Conversion based on Traffic Statistics Evaluation for Device Type Classification Chikako Takasaki, Tomohiro Korikawa, Kyota Hattori (NTT) NS2024-73 |
In the beyond 5G and 6G networks, the number of connected devices and their types will greatly increase including not on... [more] | NS2024-73 pp.158-163 |
| IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] | 2024-06-21 11:45 |
Okinawa | OIST | Analysis of optimal model selection methods for a variety of datasets Arashi Ogata, Kazuki Oikawa (NTT) NC2024-18 IBISML2024-18 |
As the application of AI expands, more and more AI models are being generated for datasets with various domains and comp... [more] | NC2024-18 IBISML2024-18 pp.113-120 |
| QIT (2nd) |
2024-05-28 13:00 |
Ibaraki | AIST Tsukuba | [Poster Presentation]
Analysis of interaction networks of qubits and quantum feature maps in a quantum machine learning model Aoi Hayashi (SOKENDAI/OIST/NII), Akitada Sakurai, William J. Munro (OIST), Kae Nemoto (OIST/NII) |
In this presentation, we introduce our investigations about the relation between learning performance of a quantum machi... [more] | |
| 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.) NLP2024-12 |
Deep learning-based image classification represents a significant advancement in enabling computers to identify the cont... [more] | NLP2024-12 pp.58-62 |
| 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 |
| 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 |
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