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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 251  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
LOIS, ICM 2022-01-28
Online Online [Invited Talk] Structure of time-series motifs and its time evolution
Makoto Imamura (Tokai Univ.) ICM2021-41 LOIS2021-39
(To be available after the conference date) [more] ICM2021-41 LOIS2021-39
SS, MSS 2022-01-12
Nagasaki Nagasakiken-Kensetsu-Sogo-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
A Method for Mesoscopic Modeling Method of Large Volume Traffic Flow Applying Process Mining Techniques
Kenji Uehara, Kunihiko Hiraishi (JAIST) MSS2021-51 SS2021-38
With the improvement of computing power and the widespread use of sensor technologies such as cameras and GNSS, highly a... [more] MSS2021-51 SS2021-38
NLC 2021-09-16
Online Online A Proposal for a Browser-Based Text Mining System for Co-occurrence Network Visualization and Analysis
Ryo Yasutake (Tokyo Denki Univ.), Kenichi Nonaka (Rikkyo Univ.), Masayuki Iwai (Tokyo Denki Univ.) NLC2021-9
In recent years, various text mining tools have been developed, such as KH Coder and the text mining tool of UserLocal. ... [more] NLC2021-9
SIP 2021-08-24
Online Online [Invited Talk] Scholarly Data Analysis and Visualization
Marie Katsurai (Doshisha Univ.) SIP2021-33
The constantly increasing availability of digital data on scholarly contributions, such as academic papers and research ... [more] SIP2021-33
EMM, IT 2021-05-21
Online Online An MSB Prediction-Based Method with Less Prediction Errors for Reversible Data Hiding in Encrypted Images
Kotaro Yamamura, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (Tokyo Metropolitan Univ.) IT2021-13 EMM2021-13
In this paper, we propose an MSB prediction-based reversible data hiding method in encrypted images. The proposed method... [more] IT2021-13 EMM2021-13
Online Online Parallelism optimization method for analytical processing on hybrid cloud.
Kaori Murase, Shinichi, Satoshi Kaneko, Kouichi Murayama (Hitachi, Ltd.) ICM2021-3
A hybrid data analytics platform that consists of data lake on on-premise and servers for analytical processing on publi... [more] ICM2021-3
(Joint) [detail]
Online Online A Comparison of Context Analysis and Estimation Methods for Mobile Users Considering the Time Series of Data
Hiromi Shimizu, Mutsumi Suganuma, Wataru Kameyama (Waseda Univ.) CQ2020-107
Recently, the demand for analyzing mobile user’s activities has been increasing in the fields such as customer behavior ... [more] CQ2020-107
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2021-02-18
Online Online Production and Evaluation of Data Set for Semantic Segmentation of 3D CG Image by H.265/HEVC
Norifumi Kawabata (Tokyo Univ. of Science) ITS2020-30 IE2020-44
As one of purpose of study on image segmentation, we are able to consider whether between object and background region c... [more] ITS2020-30 IE2020-44
ET 2020-03-07
Kagawa National Institute of Technology, Kagawa Collage
(Cancelled but technical report was issued)
Development of an Assessment Support System for Detecting Changes of Self-Assessment Using Outlier Analysis
Tetsuya Ebina, Yasuhiko Morimoto (Tokyo Gakugei Univ.) ET2019-78
In recent years, it has become necessary for students to prepare an outlook about their learning by reflecting on it thr... [more] ET2019-78
ICM 2020-03-02
Okinawa Ohama Nobumoto Memorial Hall
(Cancelled but technical report was issued)
[Encouragement Talk] Time series management of ICT resources in graph database and proposal of its extraction method
Masashi Sugimoto, Tetsushi Endou, Kenta Oonoki, Hideaki Eguchi (NTTCW) ICM2019-44
So far, we have been examining a system architecture that uses a graph database and a relational database in a hybrid ma... [more] ICM2019-44
ICM 2020-03-03
Okinawa Ohama Nobumoto Memorial Hall
(Cancelled but technical report was issued)
[Encouragement Talk] Enhancement of Q&A Recommendation System for Network Support Center by Machine Learning
Yuji Kojima (FUJITSU), Shinji Yamashita (FUJITSU LAB.), Kodo Ran, Yasuhiko Aoki (FUJITSU), Hiroyuki Uehara (FNETS), Manabu Wakao, Masao Hayashi (FUJITSU) ICM2019-61
In case of failure in network equipment, operators in network support center analyze the root cause and answer to the us... [more] ICM2019-61
DC 2020-02-26
Tokyo   Defective Chip Prediction Modeling Using Convolutional Neural Networks
Ryunosuke Oka, Satoshi Ohtake (Oita Univ.), Kouichi Kumaki (Renesas) DC2019-87
In recent years, the cost of LSI testing which guarantees reliability has relatively increased due to the development of... [more] DC2019-87
AI 2020-02-14
Shimane Izumo Campus, Shimane University Customer Analysis Based on Benefit Segmentation Using a t-SNE
Fumiaki Saitoh (CIT) AI2019-53
Understanding customer characteristics based on data is an important issue in marketing areas such as new product develo... [more] AI2019-53
R 2019-12-13
Tokyo Kikai-Shinko-Kaikan Bldg. Analysis of trust growth in the human-to-machine system
Shinji Yokogawa, Shun Endo (U.E.C.) R2019-50
The purpose of this study is to investigate the formation process of human-machine systems, which are expected to be fur... [more] R2019-50
- 2019-12-13
Hiroshima Hiroshima-ken Joho Plaza (Hiroshima) Visualization of conceptual model of cooking workspace
Ryutaro Hama, Azusa Saito, Yukari Takaku (LIXIL), Atsushi Hashimoto (Omron Sinic X)
This paper proposes a method for visualizing and analyzing conceptual models of cooking space in kitchen.
We hypothesi... [more]

AI 2019-07-22
Hokkaido   An Efficient Graph Sequence Clustering by Merging Vertices and Deleting Edges
Yoshitaka Kimura, Akihiro Inokuchi (Kwansei Gakuin Univ.) AI2019-5
In this paper, we tackle the problem for clustering a graph sequence to discover the change of community in social netwo... [more] AI2019-5
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] 2019-06-17
Okinawa Okinawa Institute of Science and Technology Adaptive Discretization based Predictive Sequence Mining for Continuous Time Series
Yoshikazu Shibahara, Takuto Sakuma (NIT), Ichiro Takeuchi (NIT/RIKEN/NIMS), Masayuki Karasuyama (NIT/NIMS) IBISML2019-9
In recent years, improvement of sensor performance and spread of portable devices such as smartphones enable us to easil... [more] IBISML2019-9
Fukui Bunkyo Camp., Univ. of Fukui Effect of Dropout Layers of Neural Networks Applied for Iterative Error-Detection Clustering Method
Taishi Watanabe, Masayuki Yamauchi (Hiroshima Institute of Tech.), Mamoru Tanaka (Sophia Univ.) NLP2018-130
IoT has been continued to develop greatly. It is important that cluttered big data need to be used effectively on intern... [more] NLP2018-130
HCS 2019-03-07
Hokkaido Hokusei Gakuen Univ. Optimization of Communication Partners in Twitter for People with Mood Disorder
Naoya Ito, Tomoko Yonezawa (Kansai Univ) HCS2018-71
Considering the influence of people with mood disorders from other people through Twitter use, we treated the SNS connec... [more] HCS2018-71
HCS 2019-03-07
Hokkaido Hokusei Gakuen Univ. Data-driven mathematical modeling of facial dominance
Koyo Nakamura (Waseda Univ./JSPS/Keio Univ.), Katsumi Watanabe (Waseda Univ.) HCS2018-75
Facial dominance plays a pivotal role in social cognition and has considerable impacts on interpersonal interactions. Th... [more] HCS2018-75
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