A Contribution to Deep Learning Approaches for Automatic Classification of Volcano-Seismic Events: Deep Gaussian Processes-Reference-Cited by-同舟云学术

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A Contribution to Deep Learning Approaches for Automatic Classification of Volcano-Seismic Events: Deep Gaussian Processes

Published:2021-05 Issue:5 Volume:59 Page:3875-3890
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Lopez-Perez Miguel,Garcia Luz,Benitez Carmen,Molina Rafael

Funder

Ministerio de Economía y Competitividad

Ministerio de Ciencia e Innovación

European Commission

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9410448/09205618.pdf?arnumber=9205618

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. On Using Deep Learning for Automatic Classification System of Microseisms at Cotopaxi Volcano;2024 IEEE Colombian Conference on Applications of Computational Intelligence (ColCACI);2024-07-17

2. One-dimensional deep learning driven geospatial analysis for flash flood susceptibility mapping: a case study in North Central Vietnam;Earth Science Informatics;2024-07-06

3. Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological images;Computerized Medical Imaging and Graphics;2024-03

4. Extract, detect, eliminate: Enhancing reliability and performance of computational pathology through artifact processing pipelines;Science Talks;2024-03

5. Deep learning and multi-station classification of volcano-seismic events of the Nevados del Chillán volcanic complex (Chile);Neural Computing and Applications;2023-09-13

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