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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
ICSS, IPSJ-SPT 2024-03-22
10:55
Okinawa OIST
(Primary: On-site, Secondary: Online)
Discovery of a Vulnerable Structure of SIMON Variants
Hayato Watanabe (Tokai Univ.), Ryoma Ito (NICT), Toshihiro Ohigashi (Tokai Univ.) ICSS2023-92
In SCIS 2024, Watanabe et al. applied a deep learning-based output prediction attack to SIMON variants, which are varian... [more] ICSS2023-92
pp.166-173
IE, MVE, CQ, IMQ
(Joint) [detail]
2024-03-13
14:50
Okinawa Okinawa Sangyo Shien Center
(Primary: On-site, Secondary: Online)
Evaluating the Ranking Performance of Transferable Influencer Identification Methods with a Focus on Follower Counts of Influencers
Kota Tahara, Sho Tsugawa (UT) CQ2023-76
Identifying influencers on social media who can spread information to many other users is one of the important research ... [more] CQ2023-76
pp.32-37
KBSE 2024-01-24
15:10
Kagoshima
(Primary: On-site, Secondary: Online)
A Proposal for Source Code Defect Prediction Method Using GraphCodeBERT
Yu Saito, Tomoji Kishi (Waseda Univ.) KBSE2023-63
(To be available after the conference date) [more] KBSE2023-63
pp.73-78
MIKA
(3rd)
2023-10-10
15:35
Okinawa Okinawa Jichikaikan
(Primary: On-site, Secondary: Online)
[Poster Presentation] Path Construction based on Fresnel Zone in Radio Propagation Graph Representation Learning
Shimon Takagi, Shinsuke Bannai, Katsuya Suto (UEC)
We have proposed a concept of data-driven radio propagation estimation, referred to as radio propagation graph represent... [more]
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)
(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 2023-07-12
14:50
Hokkaido
(Primary: On-site, Secondary: Online)
A Study on Influencer Prediction Methods Applicable to Dfferent Domains
Kota Tahara, Sho Tsugawa (ITF) CQ2023-12
Identifying influencers on social media who can spread information to many other users is one of the important research ... [more] CQ2023-12
pp.24-29
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-21
11:30
Hokkaido Hokkaido Univ. A Note on Accurate Shoot Prediction Considering Players' Spatio-temporal Relations in Soccer Videos -- Introduction of Complete Bipartite Graph Based on Players' Team Information --
Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents the introduction of a complete bipartite graph based on the team information of players for improvin... [more]
NLC, IPSJ-NL, SP, IPSJ-SLP [detail] 2022-11-29
10:00
Tokyo
(Primary: On-site, Secondary: Online)
Link Prediction from Text Content by NLP Graph Embedding -- A Study on Chinese Journal Articles --
Tzu-Ying Yang, Hsuan Lei Shao, Chih-Chuan Fan, Wei-Hsin Wang (NTNU) NLC2022-9 SP2022-29
Abstract This paper is an extended research of the project “The Knowledge Database/ Graph of China-studies”. The main re... [more] NLC2022-9 SP2022-29
pp.1-4
MIKA
(3rd)
2022-10-13
11:10
Niigata Niigata Citizens Plaza
(Primary: On-site, Secondary: Online)
[Poster Presentation] Experimental Evaluation of the Applicability of Cascade Popularity Prediction Models for Datasets from Different Domains
Daiki Suzuki, Sho Tsugawa (Univ. Tsukuba)
Predicting future popularity of a given information diffusion cascade is an important research task.
Contrastive Cascad... [more]

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
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
MI, MICT [detail] 2021-11-05
10:00
Online Online [Short Paper] Prediction of therapeutic response in Sjogren's syndrome using ultrasound images of parotid glands
Kohei Fujiwara, Takeda Keita, Yukinori Takagi, Miho Sasaki, Sato Eida, Ikuo Katayama, Misa Sumi, Tomoya Sakai (Nagasaki Univ.) MICT2021-30 MI2021-28
The purpose of this study was to predict the response to treatment of SS from ultrasound (US) images of salivary glands ... [more] MICT2021-30 MI2021-28
pp.15-16
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]
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2021-06-28
15:20
Online Online Predictive Graph Mining using Graphs with Interval Attributes
Hinata Asahi, Masayuki Karasuyama (NIT) NC2021-6 IBISML2021-6
Graphs have been widely used to represent structured data such as molecular data and traffic networks. In this paper, we... [more] NC2021-6 IBISML2021-6
pp.39-46
IBISML 2020-03-11
09:45
Kyoto Kyoto University
(Cancelled but technical report was issued)
Knowledge Graph Completion by Separating Transition and Score Functions
Kenta Hama, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) IBISML2019-41
A knowledge graph is represented by a set of two entities and the relations, and used for various tasks such as informat... [more] IBISML2019-41
pp.59-62
IE, IMQ, MVE, CQ
(Joint) [detail]
2020-03-05
10:10
Fukuoka Kyushu Institute of Technology
(Cancelled but technical report was issued)
Predicting Follow Behavior on Social Media via User-Hashtag Interaction
Yiwei Zhang, Xueting Wang, Toshihiko Yamasaki (The Univ. of Tokyo) IMQ2019-42 IE2019-124 MVE2019-63
Following behavior prediction is an important task on social media since it represents users' preferences and could help... [more] IMQ2019-42 IE2019-124 MVE2019-63
pp.137-142
DE, IPSJ-DBS 2019-12-24
09:35
Tokyo National Institute of Informatics A Book Prediction Model Based on User's Book Arrangement and It's Evaluation
Tatsuya Miyamoto, Daisuke Kitayama (Kogakuin Univ.) DE2019-21
In recent years, the evaluation of recommender systems has focused on not only accuracy but other aspects.
This is bec... [more]
DE2019-21
pp.1-5
IA 2019-11-15
11:25
Tokyo Kwansei Gakuin University, Tokyo Marunouchi Campus (Sapia Tower) Sleep Apnea Detection Using Deep Convolutional Neural Network
Hnin Thiri Chaw, Sinchai Kamolphiwong, Krongthong Wongsritrang (PSU) IA2019-39
Sleep apnea is the breathing disorder in which the cessation of the air flow occurs while sleeping. Deep convolutional n... [more] IA2019-39
pp.67-71
SANE 2019-06-14
13:35
Kanagawa JAXA Sagamihara Campus Laboratory Experiments on Polarimetric SAR Tomography for Forest Biomass Estimation
Takuma Watanabe SANE2019-17
Global forest plays a key role in the carbon or hydrologic cycle, and forest monitoring is essential to understand and m... [more] SANE2019-17
pp.23-28
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