Confidence Arguments for Evidence of Performance in Machine Learning for Highly Automated Driving Functions

Burton, Simon, Gauerhof, Lydia, Hawkins, Richard David orcid.org/0000-0001-7347-3413 et al. (2 more authors) (2019) Confidence Arguments for Evidence of Performance in Machine Learning for Highly Automated Driving Functions. In: Computer Safety, Reliability, and Security:SAFECOMP 2019 Workshops, ASSURE, DECSoS, SASSUR, STRIVE, and WAISE, Turku, Finland, September 10, 2019, Proceedings. Lecture Notes in Computer Science . Springer , 365–377.

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Authors/Creators:
Dates:
  • Accepted: 6 June 2019
  • Published: 9 August 2019
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User: Pure (York)
Date Deposited: 19 Jul 2019 15:20
Last Modified: 31 Jan 2024 01:32
Published Version: https://doi.org/10.1007/978-3-030-26250-1_30
Status: Published
Publisher: Springer
Series Name: Lecture Notes in Computer Science
Refereed: No
Identification Number: https://doi.org/10.1007/978-3-030-26250-1_30

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