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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 31  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-22
10:00
Hokkaido Hokkaido Univ. ITS2022-60 IE2022-77 Unsupervised domain adaptation (UDA) is extremely effective for transferring knowledge from a label-rich source domain t... [more] ITS2022-60 IE2022-77
pp.101-106
VLD, HWS [detail] 2022-03-08
09:55
Online Online Wafer-Level Characteristic Variation Modeling with Considering Discontinuous Effect Caused by Manufacturing Equipment
Takuma Nagao (National Institute of Technology (KOSEN)), Michihiro Shintani (Nara Institute of Science and Technology), Ken'ichi Yamaguchi, Hiroshi Iwata (National Institute of Technology (KOSEN)), Tomoki Nakamura, Masuo Kajiyama, Makoto Eiki (SCK), Michiko Inoue (Nara Institute of Science and Technology) VLD2021-92 HWS2021-69
Statistical methods for predicting the performance of large-scale integrated circuits (LSIs) manufactured on a wafer are... [more] VLD2021-92 HWS2021-69
pp.87-92
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-21
13:00
Online Online Domain Incremental Leaning with Adaptive Loss Functions
Takumi Kawashima (UTokyo), Go Irie, Daiki Ikami (NTT), Kiyoharu Aizawa (UTokyo) ITS2021-30 IE2021-39
During domain incremental learning of image classification task, the distribution of images continually change, and mode... [more] ITS2021-30 IE2021-39
pp.31-36
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-22
10:45
Online Online ITS2021-46 IE2021-55 There has been a tremendous progress in unsupervised domain adaptation (UDA), which aims to transfer knowledge acquired ... [more] ITS2021-46 IE2021-55
pp.127-132
MI 2022-01-26
15:00
Online Online [Special Talk] TBA
Ryoma Bise (Kyushu Univ.) MI2021-66
Supervised learning (e.g., deep learning) has been used for various tasks in biomedical image analysis. While supervised... [more] MI2021-66
p.88
IBISML 2022-01-18
14:40
Online Online Domain Adaptation with Optimal Transport for Extended Variable Space
Toshimitsu Atiake (ISM), Hideitsu Hino (ISM/RIKEN) IBISML2021-27
Domain adaptation aims to transfer knowledge of labeled instances obtained from a source domain to a target domain to fi... [more] IBISML2021-27
pp.67-74
R 2021-05-28
11:10
Online Online Proposal of Classifier Ensembles via Domain Knowledge for anomaly detection
Masafumi Tsuyuki, Soichi Takashige, Daisuke Komaki (Hitachi) R2021-2
Anomaly detection models based on sensor data for preventive maintenance of facilities, need to be updated based on cont... [more] R2021-2
pp.7-12
IBISML 2021-03-04
14:40
Online Online IBISML2020-59 In the machine learning tasks where the training data is scarce, domain adaptation (DA) is a promising methodology that ... [more] IBISML2020-59
p.78
NLC 2021-02-18
16:30
Online Online A Case Exploration Tool for Sales Activities with Domain Viewpoints
Mariko Sugawara, Sachiko Onodera (FUJITSU Lab.) NLC2020-28
In the recent sales activities of IT vendors supporting Customer DX, there are cases in which customers themselves do no... [more] NLC2020-28
pp.31-36
SIP, EA, SP, MI
(Joint) [detail]
2018-03-19
09:00
Okinawa   Adaptive BSS algorithm for approximate joint diagonalization with variable epoch length
Kei Nishiyama, Shinya Saito (TUS), Kunio Oishi (TUT), Toshihiro Furukawa (TUS) EA2017-102 SIP2017-111 SP2017-85
This paper presents an adaptive blind speech separation (BSS) technique for recovering original speech source signals fr... [more] EA2017-102 SIP2017-111 SP2017-85
pp.1-6
AI 2018-02-17
11:20
Tokyo   Web-based Innovators Marketplace on Data Jackets as Communication Support System on Data Utilization
Daiji Iwasa, Teruaki Hayashi, Yukio ohsawa (UT) AI2017-27
The importance of combining data in various domains has been increasing these days, and the data market, the platform of... [more] AI2017-27
pp.55-60
KBSE, SS, IPSJ-SE [detail] 2016-07-13
15:10
Hokkaido   SMart-Learning: Tools for DSL-based UML State Machine Diagram Learning
Shinpei Ogata, Kozo Okano (Shinshu Univ.) SS2016-5 KBSE2016-11
State machine diagram learning has been important depending on increasing demand for IoT or embedded systems. One of the... [more] SS2016-5 KBSE2016-11
pp.49-54
RCC, ASN, NS, RCS, SR
(Joint)
2014-07-30
14:45
Kyoto Kyoto Terrsa Impact of Channel Estimation Error on Analog SC-FDE using STTD Combined with Receive Antenna Diversity
Thanh Hai Vo, Shinya Kumagai, Fumiyuki Adachi (Tohoku Univ.) RCS2014-92
In order to improve performance of analog signal transmission, we recently proposed a novel analog single-carrier transm... [more] RCS2014-92
pp.19-24
MWP, OPE, MW, EMT, EST, IEE-EMT [detail] 2012-07-27
10:55
Hokkaido Hokkaido Univ. Education of Electromagnetic Analysis for the Method of Moments, FDTD Method and the Finite Element Method Using One-Dimensional Problem
Takuichi Hirano, Jiro Hirokawa, Makoto Ando (Tokyo Tech) MW2012-49 OPE2012-42 EST2012-31 MWP2012-30
Nowadays, many commercial electromagnetic (EM) simulators are available. EM simulation technology and simulators have im... [more] MW2012-49 OPE2012-42 EST2012-31 MWP2012-30
pp.143-148
SS 2012-03-14
11:40
Okinawa Tenbusu-Naha Design and Implementation of Domain-Specific Language for Mining Software Repositories
Kazuhiro Yamashita, Daisuke Yamamoto, Yasutaka Kamei, Kenji Hisazumi, Naoyasu Ubayashi (Kyushu Univ.) SS2011-81
To improve the effectiveness of the process for collecting and pre-processing data from software repositories,
we desig... [more]
SS2011-81
pp.145-150
NS, IN
(Joint)
2012-03-09
15:20
Miyazaki Miyazaki Seagia Object Data Configuration and Performance Evaluation in User Context Based Menu Recommendation Service.
Yousuke Tsuda, Maho Sakuma, Toshihiro Nishizono (Nihon Univ) NS2011-274
This paper presents implementation and evaluation of a menu recommendation system using high dimensional user context de... [more] NS2011-274
pp.541-546
KBSE 2011-11-10
09:40
Nagano Shinshu Univ. Conflict Detection in Usecases -- Context modeling of Usecase --
Kazuyuki Natsume (DENSO) KBSE2011-36
How to detect the conflict between usecases based on domain knowledge and constraints. [more] KBSE2011-36
pp.1-6
KBSE 2011-11-10
12:40
Nagano Shinshu Univ. Web Application Framework for End-User-Initiative Development with Domain Knowledge
Sei Ree, Takeshi Chusho (Meiji Univ) KBSE2011-39
In recent years, many web applications are used in various business fields. These web applications are often developed o... [more] KBSE2011-39
pp.19-24
AN 2011-07-15
15:10
Kyoto Kyoto Univ. [Invited Talk] Wireless Communications techniques based on Joint Network and Channel Coding
Koji Ishii (Kagawa Univ.) AN2011-17
The potential of superposition techniques has been well recognized for wireless communications as well as wired communic... [more] AN2011-17
pp.59-64
IA, SITE, IPSJ-IOT [detail] 2010-03-02
10:00
Miyagi   Development of Server Certificate Issuance Assistant system for UPKI Open-Domain Certificate Project
Masaki Shimaoka, Takeshi Nishimura, Motonori Nakamura, Noboru Sonehara (NII), Yasuo Okabe (Kyoto Univ.) SITE2009-62 IA2009-114
This paper reports the result of design and development of Server Certificate Issuance Assistant system aiding the autom... [more] SITE2009-62 IA2009-114
pp.229-234
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