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Traceability and Deep Learning: Safety-critical Systems with Traces Ending in Deep Neural Networks
Borg, Markus
RISE - Research Institutes of Sweden, ICT, SICS.
ORCID iD:
0000-0001-7879-4371
Englund, Cristofer
RISE - Research Institutes of Sweden, ICT, Viktoria.
ORCID iD:
0000-0002-1043-8773
Duran, Boris
RISE - Research Institutes of Sweden, ICT, Viktoria.
2017 (English)
Conference paper, Published paper (Other academic)
Place, publisher, year, edition, pages
2017. p. 48-49
National Category
Computer and Information Sciences
Identifiers
URN:
urn:nbn:se:ri:diva-32383
OAI: oai:DiVA.org:ri-32383
DiVA, id:
diva2:1152794
Conference
Grand Challenges of Traceability: The Next Ten Years, March 31, 2017, Slade, Kentucky, USA
Projects
SMILE
Available from:
2017-10-26
Created:
2017-10-26
Last updated:
2020-01-23
Bibliographically approved
Open Access in DiVA
No full text in DiVA
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https://curate.nd.edu/show/bn999596m3v
https://arxiv.org/abs/1710.03129
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Borg, Markus
Englund, Cristofer
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Englund, Cristofer
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apa
ieee
modern-language-association-8th-edition
vancouver
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apa
ieee
modern-language-association-8th-edition
vancouver
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More styles
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de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
sv-SE
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de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
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text
asciidoc
rtf
html
text
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