Certainly uncertain: demystifying ML uncertainty for active learning in network monitoring tasks

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Metadaten
Author:Katharina Dietz, Mehrdad Hajizadeh, Nikolas Wehner, Stefan Geissler, Pedro Casas, Michael SeufertORCiDGND, Tobias Hoßfeld
URN:urn:nbn:de:bvb:384-opus4-1156599
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/115659
ISBN:978-3-903176-66-9OPAC
Parent Title (English):2024 20th International Conference on Network and Service Management (CNSM), 28-31 October 2024, Prague, Czech Republic
Publisher:IEEE
Place of publication:Piscataway, NJ
Editor:Pál Varga, Pavel Čeleda, Jérôme François, Jaime Galán Jiménez
Type:Conference Proceeding
Language:English
Date of Publication (online):2024/10/04
Year of first Publication:2024
Publishing Institution:Universität Augsburg
Release Date:2024/10/04
First Page:1
Last Page:7
DOI:https://doi.org/10.23919/CNSM62983.2024.10814433
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Vernetzte Systeme und Kommunikationsnetze
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):Deutsches Urheberrecht