Comparative of machine learning classification strategies for electron energy loss spectroscopy: Support vector machines and artificial neural networks-Reference-Cited by-同舟云学术

Comparative of machine learning classification strategies for electron energy loss spectroscopy: Support vector machines and artificial neural networks

Published:2023-11 Issue: Volume:253 Page:113828
ISSN:0304-3991
Container-title:Ultramicroscopy
language:en
Short-container-title:Ultramicroscopy

Author:

del-Pozo-Bueno Daniel^ORCID,Kepaptsoglou Demie,Peiró Francesca,Estradé Sònia

Publisher

Elsevier BV

Subject

Instrumentation,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference67 articles.

1. Machine learning in python: main developments and technology trends in data science, machine learning, and artificial intelligence;Raschka;Information,2020

2. Machine learning in scanning transmission electron microscopy;Kalinin;Nat. Rev. Methods Primers,2022

3. Extracting information from sequences of spatially resolved EELS spectra using multivariate statistical;Bonnet;analysis,1999

4. Independent component analysis: a new possibility for analysing series of electron energy loss spectra;Bonnet;Ultramicroscopy,2005

5. Multivariate statistical analysis of electron energy-loss spectroscopy in anisotropic materials;Hu;Ultramicroscopy,2008

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