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Balanced semisupervised generative adversarial network for damage assessment from low‐data imbalanced‐class regime

Author(s): (Department of Civil and Environmental Engineering University of California Berkeley California USA)
(Department of Civil and Environmental Engineering University of California Berkeley California USA)
(Department of Civil and Environmental Engineering University of California Berkeley California USA)
Medium: journal article
Language(s): English
Published in: Computer-Aided Civil and Infrastructure Engineering, , n. 9, v. 36
Page(s): 1094-1113
DOI: 10.1111/mice.12741
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1111/mice.12741.
  • About this
    data sheet
  • Reference-ID
    10612574
  • Published on:
    09/07/2021
  • Last updated on:
    26/08/2021
 
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