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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ITE-ME, ITE-IST, BioX, SIP, MI, IE [detail] | 2024-06-06 13:45 |
Niigata | Nigata University (Ekinan-Campus "TOKIMATE") | GSP-Traffic Dataset: Graph Signal Processing Dataset Based on Traffic Simulation Rui Kumagai (Osaka Univ), Hayate Kojima (Tokyo Univ of Agriculture and Technology), Hiroshi Higashi, Yuichi Tanaka (Osaka Univ) |
(To be available after the conference date) [more] | |
| RCC, ISEC, IT, WBS | 2024-03-14 15:30 |
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 |
| AI | 2024-03-01 13:40 |
Aichi | Room0221, Bldg.2-C, Nagoya Institute of Technology | Applying Graph Neural Networks and Reinforcement Learning to the Multiple Depot-Multiple Traveling Salesman Problem Dongyeop Kim, Toshihiro Matsui (NITech) AI2023-39 |
In this study, we introduce a method combining Graph Neural Networks (GNN) and reinforcement learning for the Multiple D... [more] | AI2023-39 pp.13-18 |
| AI | 2024-03-01 14:40 |
Aichi | Room0221, Bldg.2-C, Nagoya Institute of Technology | Request span extraction from dialog with Heterogeneous Graph Attention Networks Naoki Mizumoto, Katsuhide Fujita (TUAT) AI2023-41 |
In this study, we formulate the problem of extracting user requests from the dialogue history as a ``span extraction pro... [more] | AI2023-41 pp.25-30 |
| DC | 2024-02-28 13:40 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Test Point Selection Method for Multi-Cycle BIST Using Deep Reinforcement Learning Kohei Shiotani, Tatsuya Nishikawa, Shaoqi Wei, Senling Wang, Hiroshi Kai, Yoshinobu Higami, Hiroshi Takahashi (Ehime Univ.) DC2023-98 |
Multi-cycle BIST is a test method that performs multiple captures for each scan pattern, proving effective in reducing t... [more] | DC2023-98 pp.23-28 |
| IN, IA (Joint) |
2023-12-22 15:00 |
Hiroshima | Satellite Campus Hiroshima | [Short Paper]
A Study on the Applicability of Graph Reduction to Evaluating the Robustness of Complex Networks Murakawa Yamato, Ryotaro Matsuo, Ryo Nakamura (Fukuoka Univ.) IA2023-53 |
Generally, the computational complexity of network simulation and machine learning based on graph structure such as GNN ... [more] | IA2023-53 pp.48-52 |
| 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 |
| MIKA (3rd) |
2023-10-10 15:35 |
Okinawa | Okinawa Jichikaikan (Primary: On-site, Secondary: Online) |
[Poster Presentation]
An Evaluation of the Generalizability of Influencer Prediction Models between Social Networks in Different Domains Kota Tahara, Sho Tsugawa (ITF) |
Identifying influencers on social media is one of the important research issues. Various methods for identifying influen... [more] | |
| CQ, MIKA (Joint) |
2023-09-01 09:50 |
Fukushima | Tenjin-Misaki Sports Park | [Invited Lecture]
An Evaluation of Methods for Identifying Influencers on Social Media using their Ego-Network Structures Akira Hashimoto, Sho Tsugawa (Tsukuba Univ.), Keiichirou, Shintaro Igari (KDX) CQ2023-35 |
Identifying influencers on social media is an important research topic in the field of network science. This paper evalu... [more] | CQ2023-35 pp.54-58 |
| CQ, MIKA (Joint) (2nd) |
2023-08-30 15:00 |
Fukushima | Tenjin-Misaki Sports Park | [Poster Presentation]
A Study on Generalization of Broker Identification Methods between Social Networks in Different Domains Kota Tahara, Sho Tsugawa (ITF) |
Identifying influencers on social media who can spread information to many other users is one of the important research ... [more] | |
| CQ, MIKA (Joint) (2nd) |
2023-08-30 16:20 |
Fukushima | Tenjin-Misaki Sports Park | [Poster Presentation]
An Evaluation of Methods for Identifying Influencers on Social Media using their Ego-Network Structures Akira Hashimoto, Sho Tsugawa (Tsukuba Univ.), Keiichirou Tsukamoto, Shintaro Igari (KDX) |
Identifying influencers on social media is an important research topic in the field of network science. This paper evalu... [more] | |
| NC, MBE (Joint) |
2023-03-14 09:30 |
Tokyo | The Univ. of Electro-Communications (Primary: On-site, Secondary: Online) |
Dynamical analysis of concurrent and sequential multi-task learning in recurrent neural networks using the graph reduction method Daichi Sugiyama, Hiroki Kurashige (Tokai Univ.) NC2022-99 |
Humans and animals can learn multiple tasks. It is common that learning to learn tasks sequentially. However, it is not ... [more] | NC2022-99 pp.42-47 |
| CAS, CS | 2023-03-01 09:30 |
Fukuoka | Kitakyushu International Conference Center (Primary: On-site, Secondary: Online) |
Modification and Comparison of Learning Sudoku with Convolutional Networks Koichiro Ishii, Hiroshi Tamura (Chuo Univ.) CAS2022-96 CS2022-73 |
Sudoku is a logic puzzle in which the number between 1 and 9 is to fill in the boxes of the 9x9 grid by using the number... [more] | CAS2022-96 CS2022-73 pp.1-5 |
| DC | 2023-02-28 14:25 |
Tokyo | Kikai-Shinko-Kaikan Bldg (Primary: On-site, Secondary: Online) |
Test Point Selection Method Using Graph Neural Networks and Deep Reinforcement Learning Shaoqi Wei, Kohei Shiotani, Senling Wang, Hiroshi Kai, Yoshinobu Higami, Hiroshi Takahashi (Ehime Univ.) DC2022-87 |
It is well known that selecting the optimal test point to maximize the fault coverage is NP-hard. Conventional heuristic... [more] | DC2022-87 pp.27-32 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-21 09:45 |
Hokkaido | Hokkaido Univ. | Graph Collaborative Filtering for Video Recommendation Luwei Zhang (UTokyo), Noboru Kanazawa (Softbank), Toshihiko Yamasaki (UTokyo) ITS2022-41 IE2022-58 |
The rapid growth in the number of videos on the Internet offers great potential for users to find the content of interes... [more] | ITS2022-41 IE2022-58 pp.1-4 |
| NS | 2022-04-15 11:10 |
Tokyo | kikai shinkou kaikan + online (Primary: On-site, Secondary: Online) |
Service Chaining Based on Capacitated Shortest Path Tour Problem
-- Solution Based on Deep Reinforcement Learning and Graph Neural Network -- Takanori Hara, Masahiro Sasabe (NAIST) NS2022-2 |
The service chaining problem is one of the resource allocation problems in network functions virtualization (NFV) networ... [more] | NS2022-2 pp.7-12 |
| IBISML | 2022-03-09 11:35 |
Online | Online | [Invited Talk]
--- Masanobu Horie (RICOS Co. Ltd.) IBISML2021-43 |
Learning flow phenomena is an important problem for both theoretical and practical aspects. Graph neural networks are a ... [more] | IBISML2021-43 p.37 |
| AI | 2022-02-28 15:00 |
Miyazaki | Youth Hostel Sunflower MIYAZAKI (Primary: On-site, Secondary: Online) |
Basic Study for Backdoor Attack based on Invisible Trigger Ryo Kumagai, Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa (Meijo Univ.) AI2021-21 |
A backdoor attack is a threat to deep neural networks (DNN). In an attack on a DNN for the purpose of image classificati... [more] | AI2021-21 pp.53-58 |
| CQ, CBE (Joint) |
2022-01-28 11:20 |
Ishikawa | Kanazawa（Ishikawa Pref.） (Primary: On-site, Secondary: Online) |
A Study on Identifying Influencer from Ego Network Using Graph Neural Network Akira Hashimoto, Sho Tsugawa (Tsukuba Univ), Keiichirou Tsukamoto, Shintaro Igari (KADOKAWA Connected) CQ2021-91 |
Identifying influencers on social media has been an important research topic. In this paper, we propose a method to pre... [more] | CQ2021-91 pp.82-87 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-23 10:55 |
Online | Online | Fetal Heart Rate Detection via Maternal ECG Cancellation by Neural-Network Autoencoder Abuzar Ahmad Qureshi, Lu Wang, Tomoaki Ohtsuki (Keio Univ.), Kazunari Owada, Hayato Hayashi (Atom Medical Co.) NLP2021-123 MICT2021-98 MBE2021-84 |
Fetal heart rate (HR) monitoring is necessary for accessing the state of the fetus during pregnancy and labor. Non-invas... [more] | NLP2021-123 MICT2021-98 MBE2021-84 pp.243-247 |
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