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Aleatory-aware deep uncertainty quantification for transfer learning.
Kabir, H M Dipu; Khanam, Sadia; Khozeimeh, Fahime; Khosravi, Abbas; Mondal, Subrota Kumar; Nahavandi, Saeid; Acharya, U Rajendra.
Affiliation
  • Kabir HMD; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Australia. Electronic address: hussain.kabir@deakin.edu.au.
  • Khanam S; Dhaka Dental College, Dhaka, Bangladesh.
  • Khozeimeh F; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Australia.
  • Khosravi A; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Australia.
  • Mondal SK; Faculty of Information Technology, Macau University of Science and Technology, Macao.
  • Nahavandi S; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Australia; Harvard Paulson School of Engineering and Applied Sciences, Harvard University, Allston, MA, 02 134, USA.
  • Acharya UR; Department of ECE, Ngee Ann Polytechnic, 535 Clementi Road, 599 489, Singapore; Department of Biomedical Engineering, School of Science and Technology, SUSS University, Singapore; Department of Biomedical Informatics and Medical Engineering, Asia University, Taichung, Taiwan.
Comput Biol Med ; 143: 105246, 2022 Apr.
Article in En | MEDLINE | ID: mdl-35131610
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Comput Biol Med Year: 2022 Document type: Article Country of publication: United States
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Comput Biol Med Year: 2022 Document type: Article Country of publication: United States