Learning the Repair Urgency for a Decision Support System for Tunnel Maintenance

Gatsoulis, I, Mehmood, MO, Dimitrova, VG et al. (5 more authors) (2016) Learning the Repair Urgency for a Decision Support System for Tunnel Maintenance. In: Kaminka, GA, Fox, M, Bouquet, P, Hüllermeier, E, Dignum, V, Dignum, F and Van Harmelen, F, (eds.) Proceedings. ECAI 2016: 22nd European Conference on Artificial Intelligence, 29 Aug - 02 Sep 2016, The Hague, Netherlands. Frontiers in Artificial Intelligence and Applications (285). IOS Press , Amsterdam, Netherlands , pp. 1769-1774. ISBN 978-1-61499-671-2

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Editors:
  • Kaminka, GA
  • Fox, M
  • Bouquet, P
  • Hüllermeier, E
  • Dignum, V
  • Dignum, F
  • Van Harmelen, F
Copyright, Publisher and Additional Information:

© 2016 The Authors and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).

Dates:
  • Accepted: 10 June 2016
  • Published: August 2016
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds)
Funding Information:
Funder
Grant number
EU - European Union
280712
Depositing User: Symplectic Publications
Date Deposited: 28 Jul 2016 11:31
Last Modified: 22 Jan 2018 14:12
Published Version: https://doi.org/10.3233/978-1-61499-672-9-1769
Status: Published
Publisher: IOS Press
Series Name: Frontiers in Artificial Intelligence and Applications
Identification Number: 10.3233/978-1-61499-672-9-1769
Open Archives Initiative ID (OAI ID):

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