Autoencoders as a Characterization Technique and Aid in the Classification of Volcanic Earthquakes-Reference-Cited by-同舟云学术

Autoencoders as a Characterization Technique and Aid in the Classification of Volcanic Earthquakes

Published:2023 Issue: Volume:16 Page:8408-8417
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Montenegro C. Paula Andrea¹^ORCID,Cadena I. Oscar Ernesto²^ORCID,Lotufo Anna Diva P.¹^ORCID

Affiliation:

1. Department of Electrical Engineering, São Paulo State University - UNESP, Ilha Solteira, Brazil

2. The Colombian Geological Survey, Volcanological and Seismological Observatory of Pasto, Pasto, Colombia

Funder

CNPq

CAPES

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

Reference67 articles.

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4. Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion;vincent;J Mach Learn Res,2010

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