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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2024-03-04 14:00 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Computerized Classification Method for Molecular Subtypes of Low-grade Glioma on Brain MRI Images using Multi-scale 3D CNN with Channel and Spatial Attention Mechanism Shimpei Kobayashi, Akiyoshi Hizukuri, Ryohei Nakayama (Ritsumeikan Univ.), Kaori Kusuda (THCU), Ken Masamune (TWMU), Yoshihiro Muragaki (Kobe Univ.)  MI2023-79 |
The purpose of this study was to develop a computerized classification method for molecular subtypes of low-grade glioma... [more] | MI2023-79 pp.156-157 |
| 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 |
| VLD, HWS, ICD | 2024-03-01 15:55 |
Okinawa | (Primary: On-site, Secondary: Online) |
Hardware Design Based on Full Parameter Support and Parallelism Optimization for Key Encapsulation Mechanism FIPS203 Yuto Nakamura, Makoto Ikeda (UTokyo) VLD2023-131 HWS2023-91 ICD2023-120 |
The emergence of quantum computers potentially threatens the security of traditional cryptographic techniques that depen... [more] | VLD2023-131 HWS2023-91 ICD2023-120 pp.167-172 |
| PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM | 2024-01-26 10:42 |
Kanagawa | Keio Univ. (Hiyoshi Campus) | Investigation of lightweight methods for object recognition models of YOLOv7-tiny using a combination of various kinds of convolution modules Yuedong Li, Akira Kubota (Chuo Univ.) PRMU2023-45 |
Deep learning-based object detection techniques on images have been actively studied. Recently, lightweight and fast-edg... [more] | PRMU2023-45 pp.32-37 |
| EMT, PN, MWPTHz, IEE-EMT [detail] | 2024-01-22 10:30 |
Kyoto | Kyoto Univ. Yoshida Campus | Fundamental study on change detection in flooded area using quad-pol. SAR data
-- An approach based on eigenvalues/eigenvectors analysis -- Masaki Watabe, Ryoichi Sato, Hiroyoshi Yamada, Yoshio Yamaguchi (Niigata Univ.) PN2023-48 EMT2023-88 MWPTHz2023-76 |
In this research, we carry out PolSAR image analysis for accurately detecting flooded residential area, by using quad-po... [more] | PN2023-48 EMT2023-88 MWPTHz2023-76 pp.7-10 |
| SP, NLC, IPSJ-SLP, IPSJ-NL [detail] | 2023-12-03 10:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Improvement of Tacotron2 text-to-speech model based on masking operation and positional attention mechanism Tong Ma, Daisuke Saito, Nobuaki Minematsu (Univ. of Tokyo) NLC2023-17 SP2023-37 |
[more] | NLC2023-17 SP2023-37 pp.19-24 |
| PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI | 2023-11-16 16:50 |
Tottori | (Primary: On-site, Secondary: Online) |
Understanding level estimation using similarities between users' understanding expression patterns Yuki Kitagishi, Naohiro Tawara, Atsunori Ogawa, Taichi Asami (NTT), Tomoko Yonezawa (Kansai Univ.) PRMU2023-26 |
We define three-degree understanding levels of low/neutral/high as an audience member looks like they are understanding ... [more] | PRMU2023-26 pp.56-61 |
| NS | 2023-10-06 15:20 |
Hokkaido | Hokkaidou University + Online (Primary: On-site, Secondary: Online) |
Incentive Mechanism Considering Heterogeneous Privacy Demand Level in Federated Learning with Differential Privacy Shota Miyagoshi, Takuji Tachibana (Univ. Fukui) NS2023-104 |
In federated learning, where multiple data owners participate as clients to perform machine learning, each client shares... [more] | NS2023-104 pp.162-167 |
| AI | 2023-09-12 14:35 |
Hokkaido | Proposal of effective location information privacy protection method using measurement equipment error Riho Isawa, Yuichi Sei, Yasuyuki Tahara, Akihiko Ahsuga (UEC) AI2023-15 |
In recent years, systems that publicly share statistical data based on people's location information, such as congestion... [more] | AI2023-15 pp.77-82 |
|
| CQ, MIKA (Joint) (2nd) |
2023-08-31 10:50 |
Fukushima | Tenjin-Misaki Sports Park | [Poster Presentation]
Study on the Effectiveness of Building TCP Throughput Prediction Model using Federated Learning Han Nay Aung, Hiroyuki Ohsaki (Kwansei Gakuin Univ) |
In the realm of communication networks, ensuring accurate forecasts for the performance of TCP flows is essential to ach... [more] | |
| EMM, BioX, ISEC, SITE, ICSS, HWS, IPSJ-CSEC, IPSJ-SPT [detail] | 2023-07-25 15:10 |
Hokkaido | Hokkaido Jichiro Kaikan | Extended $k^m$-anonymity for randomization Masaya Kobayashi, Atsushi Fujioka (Kanagawa Univ.), Koji Chida (Gunma Univ.) ISEC2023-53 SITE2023-47 BioX2023-56 HWS2023-53 ICSS2023-50 EMM2023-53 |
Various models have been proposed to evaluate anonymity. Among them, $k$-anonymity is widely known as a representative a... [more] | ISEC2023-53 SITE2023-47 BioX2023-56 HWS2023-53 ICSS2023-50 EMM2023-53 pp.255-260 |
| EMD | 2023-06-30 14:25 |
Hokkaido | Chitose Arcadia Plaza | Research on propulsion mechanism of amphibious robots Shion Hayashibara, Ryo Nagase (CIT) EMD2023-4 |
Recently, unmanned delivery has been attracting attention, and inexpensive devices capable of propulsion in various envi... [more] | EMD2023-4 pp.17-21 |
| PRMU, IPSJ-CVIM | 2023-05-19 15:40 |
Aichi | (Primary: On-site, Secondary: Online) |
Object-Centric Representation Learning with Attention Mechanism Hidemoto Nakada, Hideki Asoh (AIST) PRMU2023-13 |
For object-centric representation learning, several slot-based methods, that separate objects using masks and learn the ... [more] | PRMU2023-13 pp.68-73 |
| BioX, SIP, IE, ITE-IST, ITE-ME [detail] | 2023-05-19 10:00 |
Mie | Sansui Hall, Mie University (Primary: On-site, Secondary: Online) |
EEG-Based Sleep Stage Classification Using a Self-Attention Model Aozora Ito, Kosuke Fukumori, Toshihisa Tanaka (TUAT) SIP2023-9 BioX2023-9 IE2023-9 |
EEG-based sleep stage classification is clinically significant, and deep learning is the dominant method for automating ... [more] | SIP2023-9 BioX2023-9 IE2023-9 pp.35-40 |
| NLC, IPSJ-NL | 2023-03-18 16:20 |
Okinawa | OIST (Primary: On-site, Secondary: Online) |
Contrastive Learning with Attention Pooling for Long Document Summarization Tsukasa Kamo, Toru Sugimoto (SIT) NLC2022-28 |
Automatic summarization using neural networks has improved with the advent of pre-training models based on the Transform... [more] | NLC2022-28 pp.50-54 |
| NC, MBE (Joint) |
2023-03-13 11:05 |
Tokyo | The Univ. of Electro-Communications (Primary: On-site, Secondary: Online) |
A mathematical model of competitive growth and pruning of dendritic spines in the postnatal development of neuronal receptive fields and orientation maps in the visual cortex Shigeru Tanaka, Masanobu Miyashita (NIT Numazu College) NC2022-92 |
In the cerebral cortex and hippocampus, synaptic contacts are made on axonal boutons rather than axon terminals, and syn... [more] | NC2022-92 pp.7-12 |
| EMD | 2023-03-03 13:45 |
Saitama | NIT and Online (Primary: On-site, Secondary: Online) |
Research on mechanism for bathing assistance for disabilities Hirokazu Saito, Ryo Nagase (CIT) EMD2022-23 |
The purpose of this study was to develop an arm-supporting mechanism that enables a patient with physical disabilities t... [more] | EMD2022-23 pp.15-18 |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-02-28 10:10 |
Okinawa | (Primary: On-site, Secondary: Online) |
Singing voice synthesis based on a frame-driven attention mechanism considering vocal timing deviation Miku Nishihara, Yukiya Hono, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda (NITech) EA2022-78 SIP2022-122 SP2022-42 |
This paper proposes singing voice synthesis (SVS) based on a frame-driven attention mechanism considering vocal timing d... [more] | EA2022-78 SIP2022-122 SP2022-42 pp.19-24 |
| NC, NLP | 2023-01-29 15:55 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Indoor air quality prediction using multi-reservoir echo state network with attention mechanism Wenrui Qiu, Gouhei Tanaka (UTokyo) NLP2022-106 NC2022-90 |
Indoor air quality (IAQ) is a critical matter of concern in terms of its impact on public health and well-being. Researc... [more] | NLP2022-106 NC2022-90 pp.135-140 |
| HCGSYMPO (2nd) |
2022-12-14 - 2022-12-16 |
Kagawa | Onsite (Sunport Takamatsu) and Online (Primary: On-site, Secondary: Online) |
Self-reported sentiment estimation with attention mechanism based on time-series physiological signals and word sequences Shun Katada, Shogo Okada (JAIST), Kazunori Komatani (Osaka Univ.) |
One of the main issues in the development of an adaptive dialogue system is to estimate a user's sentiment state in real... [more] | |
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