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Explainable AI for maritime anomaly detection and autonomous driving
Riveiro, Maria
Jönköping University, School of Engineering, JTH, Department of Computer Science and Informatics. University of Skövde.
ORCID iD:
0000-0003-2900-9335
2020 (English)
In:
Dagstuhl Reports, E-ISSN 2192-5283, Vol. 9, no 11, p. 29-30
Article in journal, Meeting abstract (Refereed) Published
Place, publisher, year, edition, pages
Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik , 2020. Vol. 9, no 11, p. 29-30
National Category
Computer and Information Sciences
Identifiers
URN:
urn:nbn:se:hj:diva-48046
OAI: oai:DiVA.org:hj-48046
DiVA, id:
diva2:1421006
Conference
Dagstuhl Seminar 19452 "Machine Learning Meets Visualization to Make Artificial Intelligence Interpretable", November 3-8, 2019
Available from:
2020-04-01
Created:
2020-04-01
Last updated:
2024-07-16
Bibliographically approved
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Riveiro, Maria
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