Neuro-genetic programming for multigenre classification of music content

A machine learning approach based on hybridization of genetic programming and neural networks is used to derive mathematical models for music genre classification. We design three multi-label classifiers with different trade-offs between complexity and accuracy, which are able to identify the degree...

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Bibliographic Details

Published in:	Applied soft computing Vol. 94; p. 106488
Main Authors:	Campobello, G., Dell’Aquila, D., Russo, M., Segreto, A.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01-09-2020
Subjects:	Artificial neural networks Fuzzy classification Genetic programming Multi-label classifiers Music genre recognition 99-00 Multi-label classifiers 00-01 Genetic programming Artificial neural networks Music genre recognition Fuzzy classification
Online Access:	Get full text
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