A study on the suitability of different pooling operators for Convolutional Neural Networks in the prediction of COVID-19 through chest x-ray image analysis-Reference-Cited by-同舟云学术

A study on the suitability of different pooling operators for Convolutional Neural Networks in the prediction of COVID-19 through chest x-ray image analysis

Published:2024-01 Issue: Volume:235 Page:121162
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Rodriguez-Martinez Iosu^ORCID,Ursua-Medrano Pablo^ORCID,Fernandez Javier,Takáč Zdenko,Bustince Humberto^ORCID

Funder

Vedecká Grantová Agentúra MŠVVaŠ SR a SAV

Slovak Academic Information Agency

Universidad Pública de Navarra

Gobierno de Navarra

Gobierno de España Ministerio de Ciencia e Innovación

Ministerio de Ciencia e Innovación

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

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4. Sugeno integral generalization applied to improve adaptive image binarization;Bardozzo;Information Fusion,2021

5. A practical guide to averaging functions;Beliakov,2016

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