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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 49  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
RCC, ISEC, IT, WBS 2024-03-13
14:15
Osaka Osaka Univ. (Suita Campus) Data processing methods for high-performance Privacy-Preserving Machine Learning
Tatsuhiro Yamatsuki (Osaka Univ.), Atsuko Miyaji (Osaka Univ./JAIST) IT2023-94 ISEC2023-93 WBS2023-82 RCC2023-76
Currently, attempts are being made in various fields to solve problems by utilizing big data. However, privacy protectio... [more] IT2023-94 ISEC2023-93 WBS2023-82 RCC2023-76
pp.118-126
RCC, ISEC, IT, WBS 2023-03-14
17:40
Yamaguchi
(Primary: On-site, Secondary: Online)
Diversification of Personal Records using GAN
Chengxi Jiang, Tiancheng Wang, Hikaru Morita (Kanagawa Univ.) IT2022-99 ISEC2022-78 WBS2022-96 RCC2022-96
In this paper, we deal with data anonymization as a privacy protection technology.Even in an anonymized database, it is ... [more] IT2022-99 ISEC2022-78 WBS2022-96 RCC2022-96
pp.203-208
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-03
16:10
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Analysis of TV commercial favorability by scene labeling and XAI
Kanta Fukuyori, Kunio Matsui (Knazawa Inst.Tech.), Koh Tatsumoto (TOKYO KIKAKU CO.,Ltd.) PRMU2022-116 IBISML2022-123
A large amount of money (6 trillion yen) is spent every year to produce TV commercials that advertise companies and thei... [more] PRMU2022-116 IBISML2022-123
pp.305-310
RCS, SR, SRW
(Joint)
2022-03-03
09:30
Online Online [Poster Presentation] A Study on Energy-Efficient Identification of Multiple Sources of Sensing Data for Wireless Sensor Networks
Junya Shiraishi, Hiroyuki Yomo (Kansai Univ.) RCS2021-277 SR2021-104 SRW2021-77
In this paper, we focus on the wake-up control to identify multiple sources of sensing data spatially spread over a sens... [more] RCS2021-277 SR2021-104 SRW2021-77
pp.134-139(RCS), pp.92-97(SR), pp.40-45(SRW)
MI 2022-01-27
16:00
Online Online MI2021-86 The appearance of skin diseases varies greatly depending on the type, location, and severity of the disease. There have ... [more] MI2021-86
pp.184-185
NLP 2021-12-18
10:15
Oita J:COM Horuto Hall OITA Analysis of consumers by age and gender in POS data based on Taylor's law
Kazuki Koyama, Mariko Ito, Takaaki Ohnishi (Rikkyo Univ.) NLP2021-57
System underlying purchase activity is hard to understand because of the heterogeneity in consumers’ behavior. However, ... [more] NLP2021-57
pp.61-66
MSS, NLP
(Joint)
2020-03-10
09:55
Aichi  
(Cancelled but technical report was issued)
A method foe estimating gene regulatory networks based on multiple source of information about regulatory relationships
Haga Cham, Yutaka Shimada, Takaomi Shigehara (Saitama Univ.) NLP2019-124
Gene regulatory networks play an important role in the expression and activities of genes, where specific proteins and g... [more] NLP2019-124
pp.65-70
SeMI, RCS, NS, SR, RCC
(Joint)
2019-07-12
09:50
Osaka I-Site Nanba(Osaka) [Invited Lecture] Data-Oriented Wake-up Control for Wireless Sensor Networks
Hiroyuki Yomo (Kansai Univ.) RCC2019-46 NS2019-82 RCS2019-139 SR2019-58 SeMI2019-55
The upcoming IoT society is expected to increase the amount of data to be exchanged among wireless communication devices... [more] RCC2019-46 NS2019-82 RCS2019-139 SR2019-58 SeMI2019-55
pp.163-168(RCC), pp.189-194(NS), pp.185-190(RCS), pp.195-200(SR), pp.177-182(SeMI)
DE, IPSJ-DBS 2018-12-22
13:45
Tokyo National Institute of Informatics A Study on Detecting Anonymized Personal Identifiers including Multiple Individuals in Japanese Health Insurance Claims Data
Jumpei Sato, Hiroyuki Yamada, Kazuo Goda, Kitsuregawa Masaru (Tokyo Univ.), Naohiro Mitsutake (IHEP) DE2018-27
Anonymization of medical data helps protect patient identities. However, with conventional anonymized personal identifie... [more] DE2018-27
pp.55-60
KBSE, SC 2018-11-09
11:00
Hyogo   Prototyping Personal Ontology Building System Using Virtual Agent
Shota Nakatani, Sachio Saiki, Masahide Nakamura (Kobe Univ.), Kiyoshi Yasuda (OIT) KBSE2018-29 SC2018-24
In previous research, we have proposed a method which represents and manages ``the knowledge of individual person'' (Per... [more] KBSE2018-29 SC2018-24
pp.7-12
KBSE, SS, IPSJ-SE [detail] 2018-07-20
10:55
Hokkaido   An Automated Evaluation Method for Conceptual Data Models Focusing on Appropriateness of Attributes
Takafumi Tanaka (TUAT), Hiroaki Hashiura (NIT), Atsuo Hazeyama (TGU), Kousuke Mouri, Keiichi Kaneko (TUAT) SS2018-16 KBSE2018-26
It is important for database design education to teach skills of conceptual data modeling (CDM) to learners. In CDM exer... [more] SS2018-16 KBSE2018-26
pp.189-194
KBSE 2018-03-02
11:10
Okinawa   Identification of Aggregation Roots and Providing Monotonous Views by Applying Existence Dependency Analysis to the Business Fulfilments
Akio Ida, Shigeo Kaneda, Yusuke Morimoto, Liu Xiangtao (Doshisha Unic.) KBSE2017-56
Many of the conventional methods combine the attributes of entities in an ad hoc manner to acquire View. In some cases, ... [more] KBSE2017-56
pp.103-108
NS, IN
(Joint)
2018-03-02
10:00
Miyazaki Phoenix Seagaia Resort A Study on Secure Emergency Message Delivery in NDN Networks
Kai Ryu, Kentaro Kita, Yuki Koizumi, Toru Hasegawa (Osaka Univ.) NS2017-205
Emergency communication such as 119 calls cannot be provided if congestion occurs in telephone networks due to a disaste... [more] NS2017-205
pp.215-220
SWIM 2018-02-23
14:45
Tokyo Kikai-Shinko-Kaikan Bldg. Proposal of Retrieval Method of Time-series Data with Multiple Attributes -- Evaluating Capabilities of Stock Price Forecast --
Tatsuya Yamanaka, Shogo Tejima, Daiki Morishita, Eiji Akisawa, Yoshihisa Udagawa (Tokyo Polytechnic Univ.) SWIM2017-24
Stock market prediction techniques play a crucial role in bringing more people into market and encouraging the market as... [more] SWIM2017-24
pp.13-18
AI 2018-02-17
11:00
Tokyo   Analysis of Relationships and Networks of Data in the Market of Data -- Discussion on Attributes and Connections of Data --
Teruaki Hayashi, Yukio Ohsawa (UTokyo) AI2017-26
In the worldwide trend of big data and Artificial Intelligence, expectations for improving existing businesses or creati... [more] AI2017-26
pp.49-54
ITS 2016-05-28
15:55
Hokkaido Hokkaido Univ On SV Probe Data Collection and Analysis Platform
Tetsuya Manabe, Takaaki Hasegawa (Saitama Univ.) ITS2016-3
This paper describes the slow vehicle (SV) probe data collection and analysis platform that is a tool for obtaining know... [more] ITS2016-3
pp.13-18
AI 2015-12-19
10:30
Okinawa   A Method of Improving Generalization Ability of Alternating Decision Forests with Bootstrap Method
Shotaro Misawa, Kenta Mikawa, Masayuki Goto (Waseda Univ.) AI2015-49
In this study, we focus on the Alternating Decision Forests (ADF) which is famous as an effective ensemble method of dec... [more] AI2015-49
pp.137-142
IA 2015-11-13
11:40
Chiba NARITA VIEW HOTEL Glean: The Framework of a Network Quality Data Assessing Engine
Bismita Sahu, Motoyuki Ooki, Narichika Nomoto, Munenori Fujita, Yukio Uematsu (NTT Com) IA2015-67
Glean is a framework to refine and validate corporate data, gathered from internal organizations and external affiliates... [more] IA2015-67
pp.147-152
SIP 2015-08-20
10:55
Tokyo National Institute of informatics [Invited Talk] Geographic Information Science -- Fusion of Geography and Informatics and Its Subsequent Development --
Takashi Ogushi (Univ. Tokyo) SIP2015-59
Geographic Information Science (GIS) is a scientific discipline resulting from a combination of Geography and Informatic... [more] SIP2015-59
p.47
SC 2015-03-27
15:05
Fukushima Aizu Univ. Evaluating Data Integrity of BASE Transactions Using VDM++
Sachi Nishida, Yoshiyuki Shinkawa (Ryukoku Univ.) SC2014-18
In cloud computing environments, especially in public cloud environments, ``BASE" principle is used for data integrity, ... [more] SC2014-18
pp.25-30
 Results 1 - 20 of 49  /  [Next]  
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