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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 40  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SS 2024-03-09
09:30
Okinawa
(Primary: On-site, Secondary: Online)
Investigating indicators of distortion in CNN models using statistical metamorphic testing
Tsuchiya Takumi, Okano Kozo, Ogata Shinpei (Shinshu Univ), Nakajima Shin (NII) SS2023-77
In quality evalution of machine learning systems, it is important to determine whether the learning parameter (weight) v... [more] SS2023-77
pp.168-173
SS, DC 2023-10-12
10:25
Nagano
(Primary: On-site, Secondary: Online)
Robustness trends of DP-SGD, a machine learning with differential privacy
Takahiro Kanki, Shinpei Ogata, Kozo Okano (Sinshu Univ), Shin Nakajima (NII) SS2023-28 DC2023-34
Although machine learning has been successful in various fields, there is a problem that an adversary can extract traini... [more] SS2023-28 DC2023-34
pp.38-43
SS 2023-03-15
13:45
Okinawa
(Primary: On-site, Secondary: Online)
Improvement of Encoding and Ablation Methods in Fault Localization by Ablation
Takuma Ikeda, Kozo Okano, Shinpei Ogata (Shinshu Univ.), Shin Nakajima (NII) SS2022-67
Spectrum-based Fault Localization (SFL) is a technique to locate faults in source code using execution traces. A method ... [more] SS2022-67
pp.121-126
DC, SS 2022-10-25
13:00
Fukushima  
(Primary: On-site, Secondary: Online)
[Invited Talk] Privacy as Ethical Quality Characteristics of AI
Shin Nakajima (NII) SS2022-25 DC2022-31
 [more] SS2022-25 DC2022-31
p.22
DC, SS 2022-10-25
14:15
Fukushima  
(Primary: On-site, Secondary: Online)
Relationship between the Defects in Learning Programs and the Model Distortion on the Convolutional Neural Networks
Takumi Tsuchiya, Kozo Okano, Shinpei Ogata (Shinshu Univ.), Shin Nakajima (NII) SS2022-26 DC2022-32
In recent years, the quality issue of machine learning software has become an important concern. When considering the qu... [more] SS2022-26 DC2022-32
pp.23-28
DC, SS 2022-10-25
14:40
Fukushima  
(Primary: On-site, Secondary: Online)
Comparison of the Coverage Indicators of Evaluation Data for the Convolutional Neural Networks
Yuto Yokoyama, Kozo Okano, Shinpei Ogata (Shinshu Univ.), Shin Nakazima (NII) SS2022-27 DC2022-33
Neuron Coverage (NC) was proposed as a measure to quantify the usefulness of evaluation data against Deep Neural Network... [more] SS2022-27 DC2022-33
pp.29-34
SS 2022-03-07
11:20
Online Online Trace Ablation and Fault Localization per Method Using Machine Learning Models for Automatic Classification of Test Execution Results
Takuma Ikeda, Kozo Okano, Shinpei Ogata (Shinshu Univ.), Shin Nakajima (NII) SS2021-44
The problem to solve automatically classifying the results of test executions is called the test oracle problem. This is... [more] SS2021-44
pp.13-18
SS, MSS 2022-01-12
09:15
Nagasaki Nagasakiken-Kensetsu-Sogo-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
Execution-trace embedding using word-proximity metric for a method to automatically classify test results
Takuma Ikeda, Kozo Okano, Shinpei Ogata (Shinshu Univ.), Shin Nakajima (NII) MSS2021-46 SS2021-33
The problem to solve automatically classifying the results of test executions is called the test oracle problem. This is... [more] MSS2021-46 SS2021-33
pp.83-88
SS 2020-03-04
14:20
Okinawa
(Cancelled but technical report was issued)
Distortion Metrics for Trained Machine Learning Models
Shin Nakajima (NII) SS2019-44
 [more] SS2019-44
pp.19-24
SS, MSS 2020-01-15
10:30
Hiroshima   MSS2019-51 SS2019-35  [more] MSS2019-51 SS2019-35
pp.61-66
SS 2019-03-05
15:00
Okinawa   Quality Evaluation Asssurance Levels for Machine Learning Software
Shin Nakajima (NII), Yoshiki Seo, Yutaka Oiwa, Yoshinao Isobe (AIST) SS2018-79
 [more] SS2018-79
pp.163-168
KBSE, SC 2018-11-09
13:00
Hyogo   Quality of Machine Learning Software: Products, Services, Platform
Shin Nakajima (NII) KBSE2018-31 SC2018-26
 [more] KBSE2018-31 SC2018-26
pp.19-24
SS 2018-03-07
15:30
Okinawa   Uncertainty in Machine Learning Software from Quality Assurance Viewpoints
Shin Nakajima (NII) SS2017-77
 [more] SS2017-77
pp.75-80
SS 2017-03-09
10:20
Okinawa   Debugging Pure Strategy Games
Shin Nakajima (NII) SS2016-62
 [more] SS2016-62
pp.13-18
KBSE, SS, IPSJ-SE [detail] 2016-07-13
09:50
Hokkaido   Testing Quasi-testable Core of Non-testable Program
Shin Nakajima (NII), Bui Ngoc Hai (VNU) SS2016-1 KBSE2016-7
 [more] SS2016-1 KBSE2016-7
pp.1-6
KBSE, SS, IPSJ-SE [detail] 2015-07-24
10:40
Hokkaido   Two-Staged Modeling Method with Alloy and Event-B
Shin Nakajima (NII) SS2015-32 KBSE2015-25
 [more] SS2015-32 KBSE2015-25
pp.161-166
SS 2015-03-09
10:20
Okinawa OKINAWAKEN SEINENKAIKAN SNIPER: An LLVM-based Automatic Fault Localization Tool for Imperative Programs
Si-Mohamed Lamraoui, Shin Nakajima (NII) SS2014-57
 [more] SS2014-57
pp.13-18
SS 2014-10-24
10:00
Kochi Kochi city culture-plaza cul-port Energy Consumption Analysis as a Duration-Bounded Cost Constraint Problem
Shin Nakajima (NII) SS2014-30
 [more] SS2014-30
pp.29-34
SS 2014-03-11
14:00
Okinawa Tenbusu Naha Influence of Power-Saving Processor on Power Consumption Model of Android Applications
Shin Nakajima (NII) SS2013-78
 [more] SS2013-78
pp.37-42
SS, KBSE 2013-07-25
11:30
Hokkaido   Automated Error Localization with Weighted Partial Maximum Satisfiability
Si-Mohamed Lamraoui, Shin Nakajima (NII) SS2013-13 KBSE2013-13
 [more] SS2013-13 KBSE2013-13
pp.1-6
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