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 |