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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 7 of 7  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NS 2023-04-14
11:15
Fukushima Nihon University, Koriyama Campus + Online
(Primary: On-site, Secondary: Online)
Automatic Test Cases Generation Method by Structuring Specification Documents using Deep Learning
Kiyoshi Ueda, Yuya Sato (Nihon Univ.) NS2023-8
In the development of large-scale communication software, problems such as high development costs and insufficient manpo... [more] NS2023-8
pp.38-43
PRMU, IPSJ-CVIM 2020-03-17
09:45
Kyoto
(Cancelled but technical report was issued)
Rule Extraction from convolutional neural networks -- Rule Extraction with A Pedagogical Method --
Yuya Sato (Tokyo Denki Univ), Hiroshi Tsukimoto (Tokyo Denki Univ.) PRMU2019-89
We presented a decompositional method of rule extraction from convolutional neural networks in the past. However, we fou... [more] PRMU2019-89
pp.121-126
EST 2020-01-30
10:30
Oita Beppu International Convention Center Capacitance Matrix Estimation of Multiconductor Transmission Lines Using Machine Learning
Yuya Sato, Tadatoshi Sekine, Shin Usuki, Kenjiro T. Miura (Shizuoka Univ.) EST2019-82
In this report, we propose a technique that estimates capacitance matrices of multiconductor transmission lines (MTLs) b... [more] EST2019-82
pp.19-24
MIKA
(2nd)
2019-10-03
11:15
Hokkaido Hokkaido Univ. [Poster Presentation] Comparative Study of Kurtosis-Based FastICA and RobustICA Using Spatial Smoothing Preprocessing
Yuya Sato, Nobuyoshi Kikuma, Kunio Sakakibara (NIT)
With the development of wireless communication systems in recent years, high techniques and functions for radio wave mon... [more]
PRMU 2018-12-13
14:40
Miyagi   Extracting rules from convolutional neural networks
Hiroshi Tsukimoto, Yuya Sato (Tokyo Denki Univ.) PRMU2018-79
To understand the inner structures of convolutional neural networks, several techniques of visualization have been devel... [more] PRMU2018-79
pp.23-28
IN 2018-01-22
13:25
Aichi WINC AICHI Media Content Management System using Blockchain Technology
Yuya Sato, Kunitake Kaneko (Keio Univ.) IN2017-75
Recently, in order to distribute media contents on the Internet, blockchain technology is expected as a media content ma... [more] IN2017-75
pp.31-36
MRIS, ITE-MMS 2016-06-10
09:00
Miyagi Tohoku Univ. Open digital archive system that enables the extraction of a variety of feature amount information
Yuya Sato, Fumio Teraoka, Kunitake Kaneko (Keio Univ.)
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