An Investigation of Challenges Encountered When Specifying Training Data and Runtime Monitors for Safety Critical ML Applications
Paper i proceeding, 2023
Data requirements
Artificial intelligence
Machine learning
Runtime monitoring
Context
Requirements engineering
Författare
Hans-Martin Heyn
Göteborgs universitet
Chalmers, Data- och informationsteknik, Interaktionsdesign och Software Engineering
Eric Knauss
Göteborgs universitet
Chalmers, Data- och informationsteknik, Interaktionsdesign och Software Engineering
Iswarya Malleswaran
Göteborgs universitet
Shruthi Dinakaran
Student vid Chalmers
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
03029743 (ISSN) 16113349 (eISSN)
Vol. 13975 LNCS 206-2229783031297854 (ISBN)
Barcelona, Spain,
Very Efficient Deep Learning in IOT (VEDLIoT)
Europeiska kommissionen (EU) (EC/H2020/957197), 2020-11-01 -- 2023-10-31.
Ämneskategorier
Annan data- och informationsvetenskap
Systemvetenskap
Datorsystem
DOI
10.1007/978-3-031-29786-1_14