Robust Neural Regression via Uncertainty Learning Mashrur, Akib, Luo, Wei, Zaidi, Nayyar Abbas and Robles-Kelly, Antonio 2021, Robust Neural Regression via Uncertainty Learning, in IJCNN 2021 : Proceedings of the 2021 International Joint Conference on Neural Networks, IEEE, Piscataway, N.J., pp. 1-6, doi: 10.1109/IJCNN52387.2021.9533617. Attached Files Name Description MIMEType Size Downloads Title Robust Neural Regression via Uncertainty Learning Author(s) Mashrur, Akib orcid.org/0000-0002-4711-7543 Luo, Wei orcid.org/0000-0003-4024-2517 Zaidi, Nayyar Abbas orcid.org/0000-0002-2465-5971 Robles-Kelly, Antonio Conference name Neural Networks. International joint conference (2021 : Shenzhen, China) Conference location Shenzhen, China Conference dates 2021/07/18 - 2021/07/22 Title of proceedings IJCNN 2021 : Proceedings of the 2021 International Joint Conference on Neural Networks Editor(s) [Unknown] Publication date 2021 Start page 1 End page 6 Total pages 6 Publisher IEEE Place of publication Piscataway, N.J. Keyword(s) CORE2020 A ISBN 9780738133669 ISSN 2161-4393 2161-4407 Language eng DOI 10.1109/IJCNN52387.2021.9533617 Indigenous content off HERDC Research category E1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30157374 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Wed, 20 Oct 2021, 11:40:54 EST Wed, 20 Oct 2021, 15:07:54 EST Wed, 20 Oct 2021, 15:19:17 EST Mon, 01 Nov 2021, 13:01:43 EST Mon, 01 Nov 2021, 15:46:28 EST Mon, 01 Nov 2021, 15:55:47 EST Mon, 01 Nov 2021, 15:59:44 EST Sat, 15 Jan 2022, 01:31:22 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 75 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Wed, 20 Oct 2021, 11:40:54 EST