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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IBISML | 2022-01-18 13:00 |
Online | Online | Local Explanation of Graph Neural Network through Predictive Graph Mining Hinata Asahi, Masayuki Karasuyama (NIT)  IBISML2021-23 |
Graph Neural Networks (GNNs) have attracted wide attention in the data science community. However, predictions of GNNs a... [more] | IBISML2021-23 pp.37-44 |
| IN, IA (Joint) |
2021-12-17 12:55 |
Hiroshima | Higashi-Senda campus, Hiroshima Univ. (Primary: On-site, Secondary: Online) |
[Short Paper]
Study on the Separability of Aggregated Multilayer Networks Rong Wang, Yuki Wakisaka, Ryotaro Matsuo, Hiroyuki Ohsaki (Kwansei Gakuin Univ.) IA2021-42 |
Many real networks consist of heterogeneous networks with different properties, and these heterogeneous networks interac... [more] | IA2021-42 pp.60-62 |
| MIKA (3rd) |
2021-10-28 10:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
A Study on Influence Prediction on Social Networks Using Graph Neural Networks Akira Hashimoto, Sho Tsugawa (Tsukuba Univ), Keiichirou Tsukamoto, Shintaro Igari (KADOKAWA Connected) |
Social media services such as Twitter and Facebook have been getting increased interest from many users, and therefore, ... [more] | |
| SIS | 2021-03-04 14:30 |
Online | Online | Detection of Users Spreading Fake News Using Graph Neural Network Soh Yoshida, Hayato Matsumoto, Mitsuji Muneyasu (Kansai Univ.) SIS2020-48 |
Social media has become one of the primary news sources for people around the world. However, there is an increased risk... [more] | SIS2020-48 pp.71-76 |
| NC, MBE (Joint) |
2021-03-03 09:25 |
Online | Online | Network cores of the human functional connectome Tomoya Taguchi, Jun Kitazono (Univ. of Tokyo), Shuntaro Sasai (Araya Inc.), Masafumi Oizumi (Univ. of Tokyo) NC2020-41 |
In order to understand the structure of large and complex neural networks in the brain, it is important to find the "cor... [more] | NC2020-41 pp.1-6 |
| IA | 2019-09-05 14:05 |
Hokkaido | Hokkaido Univ. Humanities and Social Sciences Classroom Bldg, W102 | A Study on Estimating Communication Delays using Graph Convolutional Networks with Semi-Supervised Learning Taisei Suzuki, Yuichi Yasuda, Ryo Nakamura, Hiroyuki Ohsaki (Kwansei Gakuin Univ.) IA2019-10 |
In large-scale communication networks consisting of many end hosts and routers, accurate acquisition, measurement, and e... [more] | IA2019-10 pp.1-6 |
| ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] | 2019-02-20 13:30 |
Hokkaido | Hokkaido Univ. | Evaluation of Multi-level Data Demodulation Using Convolutional Neural Networks for Holographic Data Storage Yutaro Katano, Tetsuhiko Muroi, Nobuhiro Kinoshita, Norihiko Ishii (NHK) |
Holographic data storage (HDS) is a promising next generation archival memory with large capacity, high data-transfer ra... [more] | |
| HCGSYMPO (2nd) |
Mie | Sinfonia Technology Hibiki Hall Ise | Conversion of floor plan images to graph structures using semantic segmentation Mantaro Yamada, Toshihiko Yamasaki, Kiyoharu Aizawa (UTokyo) |
In this research, we propose a method that converts floor plan images to graph structures describing rooms’ connection. ... [more] | ||
| MBE, NC (Joint) |
2018-03-13 15:05 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Analysis for Changes of Functional Connectivity in Aging by Phase Lag Index Sou Nobukawa, Toka Matsumoto (CIT), Mitsuru Kikuchi (Kanazawa Univ.), Yuji Wada, Tetsuya Takahashi (Univ. of Fukui) NC2017-86 |
Recent findings in neural network studies of the human brain support that brain function emerges from its topological fe... [more] | NC2017-86 pp.109-114 |
| ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] | 2018-02-16 13:15 |
Hokkaido | Hokkaido Univ. | Suppression of Inter-symbol Interference by Convolutional Neural Networks for Holographic Data Storage Yutaro Katano, Tetsuhiko Muroi, Kinoshita Nobuhiro, Norihiko Ishii (NHK) |
Holographic data storage (HDS) is a promising for next generation archival media. In reproduction, reproduced data of tw... [more] | |
| MBE, NC (Joint) |
2016-11-19 15:00 |
Miyagi | Tohoku University | Investigation of network structure and synchronous activity in modularly-structured neuronal network models Satoshi Moriya, Hideaki Yamamoto, Hisanao Akima, Ayumi Hirano-Iwata, Michio Niwano (Tohoku Univ.), Shigeru Kubota (Yamagata Univ.), Shigeo Sato (Tohoku Univ.) NC2016-38 |
In the brain, connections between neurons are modularly organized. By integrating numerical analyses with experiments on... [more] | NC2016-38 pp.33-38 |
| PRMU, CNR | 2015-02-20 14:50 |
Miyagi | Predicting User Demographics and Click Through Rate of Display Ads Applying a Generic Image Recognition Methodology Kohei Yamamoto (The Univ. of Tokyo), Tetsuya Motegi, Yukihiro Tagami, Hayato Kobayashi, Shingo Ono (Yahoo Japan), Hideki Nakayama (The Univ. of Tokyo) PRMU2014-149 CNR2014-64 |
In the field of click-through rate (CTR) prediction of pay per click display ads, the latency and the cold-start problem... [more] | PRMU2014-149 CNR2014-64 pp.179-184 |
|
| NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] | 2014-06-27 10:35 |
Okinawa | Okinawa Institute of Science and Technology | Spike Data Analysis by Weighted Directed Graph Modeling Sho Higuchi (Waseda Univ.), Hideitsu Hino (Univ. of Tsukuba), Masami Tatsuno (Univ. of Lethbridge), Noboru Murata (Waseda Univ.) NC2014-8 IBISML2014-8 |
With recent developments in multielectrode recording technology, neural spike data can be obtained from a brain. It is... [more] |
NC2014-8 IBISML2014-8 pp.193-200 |
| NC, IPSJ-BIO | 2013-06-28 15:35 |
Okinawa | Okinawa Institute of Science and Technology | Graph Structure Modeling for Spike Data Analysis Sho Higuchi, Atsushi Noda (Waseda Univ.), Hideitsu Hino (Univ. of Tsukuba), Noboru Murata (Waseda Univ.) NC2013-14 |
Information in the brain is processed by neural cooperative activity.Estimation of neural graph structures is important ... [more] | NC2013-14 pp.145-150 |
| MBE, NC (Joint) |
2013-03-15 10:40 |
Tokyo | Tamagawa University | On the self-organization of topographic mapping in Bolzmann machines Akira Date (Univ. of Miyazaki), Koji Kurata (Univ. of Ryukyus) NC2012-169 |
We propose a learning algorithm for Boltzmann neural fields developed by Kurata (1988). The Boltzmann machine learning a... [more] | NC2012-169 pp.203-208 |
| MBE | 2012-10-11 11:35 |
Osaka | Osaka Electro-Communication University | Continuous Estimation of Finger Joint Angles Using Inputs from an EMG-to-Muscle Activation Model Jimson Ngeo, Tomoya Tamei, Tomohiro Shibata (NAIST) MBE2012-39 |
Surface electromyography (sEMG) signals are often used in many robot and rehabilitation applications because these refle... [more] | MBE2012-39 pp.17-22 |
| MBE | 2011-10-13 15:15 |
Osaka | Osaka Electro-Communication University | The Information Theoretical Study on Decoding for Autobiographical Memory (Part I)
-- Information Theoretical Analysis of the Logical Default Model Network for Stimulus-Independent Thought -- Jian-Qin Liu, Hiroaki Umehara (NICT) MBE2011-55 |
In this report, the abstract network architecture of SIT (Stimulus-Independent Thought) is formalized, from which a DCM ... [more] | MBE2011-55 pp.29-32 |
| CS, SIP, CAS | 2008-03-06 17:05 |
Yamaguchi | Yamaguchi University | [Invited Talk]
What can we see behind sampling theorems? Hidemitsu Ogawa (Tokyo Univ. Social Welfare) CAS2007-124 SIP2007-199 CS2007-89 |
The problem of sampling theorems is reformulated from the functional analytic point of view. It is shown that the proble... [more] | CAS2007-124 SIP2007-199 CS2007-89 pp.91-96 |
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