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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 142  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
R 2022-11-17
15:25
Online Online Process capability index for reliability evaluation
Toshinari Mastsuoka (MELCO) R2022-43
Optimize the tolerance limits of the process capability index to obtain the reliability to achieve the target quality. [more] R2022-43
pp.17-22
NS, SR, RCS, SeMI, RCC
(Joint)
2022-07-13
14:50
Ishikawa The Kanazawa Theatre + Online
(Primary: On-site, Secondary: Online)
Investigation of noise removal using U-Net and voice recognition performance improvement -- for train running noise --
Jian Lin, Shota Sano, Yuusuke Kawakita, Tsuyoshi Miyazaki, Hiroshi Tanaka (KAIT) SeMI2022-26
A method for converting noisy sound into images to remove the noise has been proposed. We are attempting to remove train... [more] SeMI2022-26
pp.34-39
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2022-06-27
15:30
Okinawa
(Primary: On-site, Secondary: Online)
Evaluating and Enhancing Reliabilities of AI-Powered Tools -- Adversarial Robustness --
Jingfeng Zhang (RIKEN-AIP) NC2022-4 IBISML2022-4
When we deploy models trained by standard training (ST), they work well on natural test data. However, those models cann... [more] NC2022-4 IBISML2022-4
pp.20-46
IT, EMM 2022-05-17
15:05
Gifu Gifu University
(Primary: On-site, Secondary: Online)
Generating patch-wise adversarial examples for avoidance of face recognition system and verification of its robustness
Hiroto Takiwaki, Minoru Kuribayashi, Nobuo Funabiki (Okayama univ.) IT2022-5 EMM2022-5
Advances in machine learning technologies such as Convolutional Neural Networks (CNN) have made it possible to identify ... [more] IT2022-5 EMM2022-5
pp.23-28
IBISML 2022-03-08
10:25
Online Online Robust computation of optimal transport by β-potential regularization
Shintaro Nakamura (Univ. Tokyo), Han Bao (Univ.Tokyo/RIKEN), Masashi Sugiyama (RIKEN/Univ. Tokyo) IBISML2021-31
Optimal transport (OT) has become a widely used tool to measure the discrepancy between probability distributions
in th... [more]
IBISML2021-31
pp.8-14
SeMI 2022-01-20
14:20
Nagano
(Primary: On-site, Secondary: Online)
[Short Paper] Estimation of Sound Environment in Room by applying to Transfer Learning using Spectrograms Images
Shota Sano, Yuusuke Kawakita, Tsuyoshi Miyazaki, Hiroshi Tanaka (KAIT) SeMI2021-57
A variety of environmental sounds exist in a room, and the classification of these sounds can be expected to have variou... [more] SeMI2021-57
pp.22-25
AP, WPT
(Joint)
2022-01-21
09:25
Tottori Kenmin-Fureai-Kaikan
(Primary: On-site, Secondary: Online)
Research on MACKEY II with Enhanced Robustness
Keisuke Miyashita, Shigeru Makino, Kenji Itoh (Kanazawa Institute of Tec.) AP2021-148
The Meta-surface inspired Antenna Chip developed by KIT EOE Laboratory (MACKEY, Wi-Fi 2.4GHz band) is an electrically sm... [more] AP2021-148
pp.75-79
IBISML 2020-10-20
14:00
Online Online [Invited Talk] *
IBISML2020-13
We introduce density power divergence, gamma-divergence and H"{o}lder divergence, which enable us to make robust estimat... [more] IBISML2020-13
p.29
IBISML 2020-10-22
14:25
Online Online Improvement of the robustness by increasing the size of feedback vertex set
Masaki Chujyo, Yukio Hayashi (JAIST) IBISML2020-31
Many real world networks such as power grid and communication networks are commonly scale-free, but highly vulnerable ag... [more] IBISML2020-31
pp.55-60
CQ 2020-09-03
10:30
Osaka Osaka University Nakanoshima Center
(Primary: On-site, Secondary: Online)
Analysis of Content Availability at Network Failure in Information-Centric Networking
Ryo Nakamura, Noriaki Kamiyama (Fukuoka Univ.) CQ2020-34
In recent years, ICN (Information-Centric Networking) has been under the spotlight as a network that mainly focuses on t... [more] CQ2020-34
pp.1-6
PRMU, IPSJ-CVIM 2020-03-16
15:25
Kyoto
(Cancelled but technical report was issued)
Assessing robustness of deep learning methods in dermoscopic workflow
Sourav Mishra (Univ. of Tokyo), Hideaki Imaizumi (exMedio), Toshihiko Yamasaki (Univ. of Tokyo) PRMU2019-79
Our paper aims to evaluate current deep learning methods for clinical workflow in the domain of dermatology. Although de... [more] PRMU2019-79
pp.77-78
MSS, NLP
(Joint)
2020-03-10
15:45
Aichi  
(Cancelled but technical report was issued)
Temporal Logic Falsification for Simulink models based on the hybrid robustness using ChainerRL
Ryota Owaki, Shoji Yuen (NU) MSS2019-67
We present a method of falsification for the hybrid property of Simulink model using deep reinforcement learning. This s... [more] MSS2019-67
pp.53-58
NS, IN
(Joint)
2020-03-05
10:40
Okinawa Royal Hotel Okinawa Zanpa-Misaki
(Cancelled but technical report was issued)
Topology Design based on Optimal Device Placement for Robustness in D2D-based Social Networking Service
Hanami Yokoi, Takuji Tachibana (Univ. Fukui) NS2019-197
In this paper, we propose an autonomous distributed control for robustness in D2D-based SNS. In the proposed method, rob... [more] NS2019-197
pp.117-122
SP, EA, SIP 2020-03-02
13:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
[Poster Presentation] A Robust Approach to Jointly-Sparse Signal Recovery Based on Minimax Concave Loss Function
Kyohei Suzuki, Masahiro Yukawa (Keio Univ.) EA2019-122 SIP2019-124 SP2019-71
We propose a robust approach to recovering the jointly sparse signals in the presence of outliers. The proposed approach... [more] EA2019-122 SIP2019-124 SP2019-71
pp.123-128
NS, RCS
(Joint)
2019-12-19
11:30
Tokushima Tokushima Univ. Autonomous Distributed Control for Robustness in D2D-based Social Networking Service
Hanami Yokoi, Takuji Tachibana (Univ. Fukui) NS2019-139
In this paper, we propose an autonomous distributed control for robustness in D2D-based SNS. In the proposed method, rob... [more] NS2019-139
pp.31-36
SSS 2019-09-24
15:15
Tokyo   A Proposal of Detection Method of Adversalial Examples based on Frequency Domain
Yuya Kase, Masaomi Kimura (SIT) SSS2019-20
We propose a detection method of special data Adversarial Examples that cause misclassification of neural networks. Adve... [more] SSS2019-20
pp.13-16
CQ 2019-05-31
10:55
Hiroshima Hiroshima City University Analysis of the Benefit of Predicting Attack Strategies for Improving the Robustness of Networks via Link Addition
Yoichi Onoue, Sho Tsugawa (Univ. of Tsukuba) CQ2019-25
Link addition is a promising approach for improving the robustness of networks against intentional attacks. Existing li... [more] CQ2019-25
pp.67-72
EE, IEE-HCA 2019-05-17
13:00
Tokyo Kikai-Shinko-Kaikan Bldg. Output Characteristics of S-SP type Wireless Power Transfer Allows Large Changes in Power Transmission Distance and Load -- Mechanism of Suppressing Fluctuation of Received Voltage Derived from k-typed Block Diagram and Trial Demonstration --
Hideaki Abe EE2019-12
Research on wireless power transfer is being conducted from various perspectives. As a continuing effort of wireless p... [more] EE2019-12
pp.77-82
PN 2019-04-26
14:35
Tokyo The University of Electro-Communication, Build E-3, Hall 301 [Invited Talk] On the Impact of Network Topology on Information Search, Delivery, and Diffusiojn
Ryo Nakamura, Ryota Sakaguchi, Kazuyuki Yamashita, Daiki Matsui, Hiroyuki Ohsaki (Kwansei Gakuin Univ.) PN2019-4
A network topology is the logical structure of a communication network
consisting of a large number of nodes (e.g., h... [more]
PN2019-4
pp.17-24
CCS 2019-03-27
10:00
Tokyo NICT, Koganei, Tokyo A simulation study of energy propagation in biomimetic network model
Keiga Kawawa, Keisuke Oyamada, Hiroyasu Ando (Univ. of Tsukuba) CCS2018-55
Power network is considered as a kind of energy propagation network, so that it is important to investigate efficiency a... [more] CCS2018-55
pp.49-54
 Results 1 - 20 of 142  /  [Next]  
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