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 /

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

doi:https://dx.doi.org/10.1016/j.eswa.2023.121162

Number of the records: 1

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

Title statement	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 / aut. Iosu Rodriguez-Martinez, Pablo Ursua-Medrano, Javier Fernandez, Zdenko Takáč, Humberto Bustince
Main entry-name	Rodriguez-Martinez, Iosu (Author)
Another responsib.	Ursua-Medrano, Pablo (Author)
	Fernandez, Javier (Author)
	Takáč, Zdenko, 1975- Z1 (Author) - MTF Ústav aplikovanej informatiky, automatizácie a mechatroniky
	Bustince, Humberto (Author)
In	Expert Systems with Applications. -- ISSN 0957-4174. -- Vol. 235, (2024), art. no. 121162, s.1-11
Subj. Headings	convolutional neural networks
	Pooling functions
	aggregation functions
	COVID-19
	SARS-CoV-2
Language	English
Document kind	RBX - článok z periodika
Category	ADC - Scientific titles in foreign carented magazines and noticed year-books
Category (from 2022)	V3 - Vedecký výstup publikačnej činnosti z časopisu
Type of document	článok
Year	2024
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Number of the records: 1