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Technical Committee on Dependable Computing (DC)  (Searched in: 2022)

Search Results: Keywords 'from:2022-10-25 to:2022-10-25'
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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 1 - 8 of 8  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
DC, SS 2022-10-25
10:00		 Fukushima  
(Primary: On-site, Secondary: Online)		 A note on performance and sensitivity analysis of self-adaptive systems using parametric Markov decision processes
Junjun Zheng, Hiroyuki Nakagawa, Tatsuhiro Tsuchiya (Osaka Univ.) SS2022-21 DC2022-27		 This paper considers the sensitivity analysis for a self-adaptive system with uncertain parameters. The system behavior ... [more] SS2022-21 DC2022-27
pp.1-5
DC, SS 2022-10-25
10:25		 Fukushima  
(Primary: On-site, Secondary: Online)		 Low Power Neural Networks by Memory Voltage Manipulation and Reduction of Mantissa
Yuya Tanabe, Masato Kitakami (Chiba University) SS2022-22 DC2022-28		  [more] SS2022-22 DC2022-28
pp.6-9
DC, SS 2022-10-25
10:50		 Fukushima  
(Primary: On-site, Secondary: Online)		 SS2022-23 DC2022-29 Synthesis problems with multiple environments that behave rationally have been studied based on multiplayer non-zero-sum... [more] SS2022-23 DC2022-29
pp.10-15
DC, SS 2022-10-25
11:15		 Fukushima  
(Primary: On-site, Secondary: Online)		 SS2022-24 DC2022-30 Nominal set plays a central role in a group-theoretic extension of finite automata to those over an infinite set of data... [more] SS2022-24 DC2022-30
pp.16-21
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
DC, SS 2022-10-25
15:05		 Fukushima  
(Primary: On-site, Secondary: Online)		 SS2022-28 DC2022-34 (To be available after the conference date) [more] SS2022-28 DC2022-34
pp.35-40
 Results 1 - 8 of 8  /   
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