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 |