Machine Learning Data Augmentation Strategy for Electron Energy Loss Spectroscopy:Generative Adversarial Networks

del-Pozo-Bueno, Daniel, Kepaptsoglou, Demie orcid.org/0000-0003-0499-0470, Ramasse, Quentin M et al. (2 more authors) (2024) Machine Learning Data Augmentation Strategy for Electron Energy Loss Spectroscopy:Generative Adversarial Networks. Microscopy and Microanalysis. pp. 278-293. ISSN 1431-9276

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Item Type: Article
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© The Author(s) 2024.

Dates:
  • Published: 29 April 2024
  • Accepted: 12 February 2024
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Physics (York)
Depositing User: Pure (York)
Date Deposited: 03 May 2024 16:00
Last Modified: 16 Oct 2024 19:56
Published Version: https://doi.org/10.1093/mam/ozae014
Status: Published
Refereed: Yes
Identification Number: 10.1093/mam/ozae014
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Description: Machine Learning Data Augmentation Strategy for Electron Energy Loss Spectroscopy: Generative Adversarial Networks

Licence: CC-BY-NC 2.5

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