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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IN, NS (Joint) |
2023-03-03 09:30 |
Okinawa | Okinawa Convention Centre + Online (Primary: On-site, Secondary: Online) |
A Method for Selecting Training Data using Doc2Vec for Automatic Test Cases Generation Yuto Fujita, Kiyoshi Ueda (Nihon Univ)  NS2022-223 |
In software development, research has been conducted to automate the process of extracting test cases for comprehensive/... [more] | NS2022-223 pp.322-327 |
| NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-15 10:40 |
Ishikawa | The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
A Method for Selecting Training Data using Topic Models and Doc2Vec for Automatic Test Cases Generation Yuto Fujita, Kiyoshi Ueda (Nihon Univ.) NS2022-52 |
In the development of large-scale communication software, due to the increase in development cost and shortage of manpow... [more] | NS2022-52 pp.121-126 |
| DE, IPSJ-DBS | 2020-12-21 15:20 |
Online | Online | DE2020-21 |
(To be available after the conference date) [more] | DE2020-21 pp.24-29 |
| ICM | 2020-03-03 14:50 |
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 pp.111-116 |
| ICM | 2019-07-12 09:50 |
Hokkaido | Development of Q&A Recommendation System for Network Support Center by Machine Learning Shinji Yamashita (Fujitsu Lab.), Yuji Kojima, Yasuhiko Aoki (Fujitsu), Hiroyuki Uehara (Fujitsu Network Solutions), Manabu Wakao, Masao Hayashi (Fujitsu) ICM2019-17 |
In case of failure in network equipment, operators in network support center analyze the root cause and answer to the us... [more] | ICM2019-17 pp.65-70 |
|
| ICSS | 2018-11-21 14:50 |
Kagoshima | Spoofed Website Detection using Machine Learning Naoki Kurihara, Hidenori Tsuji, Masaki Hashimoto (Institute of Information Security) ICSS2018-56 |
In recent years, the damage by fake site has been rapidly increasing. Because fake sites are ceremonious as if they are ... [more] | ICSS2018-56 pp.19-24 |
|
| AI | 2017-11-24 13:30 |
Fukuoka | A Web Contents Classification by The Context Tomomi Sanjo (LIFULL), Akito Sakurai (Keio Univ.) AI2017-11 |
Nowadays, it is getting popular to find some information on the Internet so that many sites turn to have similar informa... [more] | AI2017-11 pp.25-30 |
|
| PRMU, BioX | 2017-03-21 15:00 |
Aichi | Estimation of tool usage based on co-occurrence of part shape of tool and operation Kensho Teranishi, Nobutaka Shimada (Ritsumeikan Univ.) BioX2016-66 PRMU2016-229 |
We propose a method to estimate tool usage from the shape of unknown tool based on co-occurrence of the part shape of to... [more] | BioX2016-66 PRMU2016-229 pp.197-202 |
|
| SS | 2017-03-09 16:05 |
Okinawa | A Study on Source Code Search and Classification using Distributed Representations Tetsuo Yamamoto (Nihon Univ.) SS2016-71 |
(To be available after the conference date) [more] | SS2016-71 pp.67-72 |
|
| MVE, IE, CQ, IMQ (Joint) [detail] |
2017-03-06 10:00 |
Fukuoka | Kyusyu Univ. Ohashi Campus | Prediction of the Number of Content Requests by Deep Learning Tatsuya Suda (Waseda Univ.), Kyoko Yamori (Asahi Univ./Waseda Univ.), Yoshiaki Tanaka (Waseda Univ.) CQ2016-111 |
In content distribution systems such as CDN (Content Delivery Network), the contents with high request rate should be st... [more] | CQ2016-111 pp.1-6 |
| LOIS | 2016-03-03 13:00 |
Okinawa | Central Community Center, Miyakojima-City | Article Retrieval Using Distributed Representations of Abstracts Suguru Takatoku, Yasuhiko Higaki (Chiba Univ.) LOIS2015-70 |
The purpose of this study is to evaluate article retrieval using distributed representations of abstracts. This method o... [more] | LOIS2015-70 pp.39-44 |
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