Seeded transfer learning for regression problems with deep learning Salaken, Syed Moshfeq, Khosravi, Abbas, Nguyen, Thanh Thi and Nahavandi, Saeid 2019, Seeded transfer learning for regression problems with deep learning, Expert systems with applications, vol. 115, pp. 565-577, doi: 10.1016/j.eswa.2018.08.041. Attached Files Name Description MIMEType Size Downloads Title Seeded transfer learning for regression problems with deep learning Author(s) Salaken, Syed Moshfeq orcid.org/0000-0001-8632-2665 Khosravi, Abbas orcid.org/0000-0001-6927-0744 Nguyen, Thanh Thi orcid.org/0000-0001-9709-1663 Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Journal name Expert systems with applications Volume number 115 Start page 565 End page 577 Total pages 13 Publisher Elsevier Place of publication Amsterdam, The Netherlands Publication date 2019-01 ISSN 0957-4174 Keyword(s) Transfer learning Domain adaptation Science & Technology Technology Computer Science, Artificial Intelligence Engineering, Electrical & Electronic Operations Research & Management Science Computer Science Engineering Language eng DOI 10.1016/j.eswa.2018.08.041 Field of Research 080108 Neural, Evolutionary and Fuzzy Computation 01 Mathematical Sciences 08 Information and Computing Sciences Socio Economic Objective 970109 Expanding Knowledge in Engineering HERDC Research category C1 Refereed article in a scholarly journal Copyright notice ©2018, Elsevier Ltd. Persistent URL http://hdl.handle.net/10536/DRO/DU:30114066 Document type: Journal Article Collections: Institute for Intelligent Systems Research and Innovation (IISRI) GTP Research Related Links Link Description Connect to published version 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 Fri, 05 Oct 2018, 13:43:11 EST Fri, 05 Oct 2018, 14:15:36 EST Wed, 17 Oct 2018, 08:46:30 EST Wed, 17 Oct 2018, 08:47:57 EST Sat, 10 Nov 2018, 01:31:03 EST Mon, 12 Nov 2018, 07:02:58 EST Tue, 25 Jun 2019, 06:01:25 EST Thu, 27 Jun 2019, 15:56:47 EST Thu, 27 Jun 2019, 15:58:30 EST Thu, 27 Jun 2019, 15:59:05 EST Filtered Full Citation counts:   Cited 14 times in TR Web of Science Cited 17 times in Scopus Search Google Scholar Access Statistics: 352 Abstract Views, 5 File Downloads  -  Detailed Statistics Created: Wed, 17 Oct 2018, 08:47:57 EST

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