Deep neural architectures for highly imbalanced data in bioinformatics

In this work, we present two new variants to the deepSOM model: the deep elastic SOM (deSOM) and the deep ensemble elastic SOM (deeSOM), which overcome the mentioned issues. In deSOM the number of deep levels not only grows automatically, but also the size of each layer is expanded adaptively accord...

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Detalles Bibliográficos
Autores principales:	Bugnon, Leandro A., Yones, Cristian, Milone, Diego H., Stegmayer, Georgina
Formato:	Objeto de conferencia Resumen
Lenguaje:	Inglés
Publicado:	2019
Materias:	Ciencias Informáticas Bioinformatics Pre-miRNA classification Deep neural architectures High class imbalance
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/87801
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-87801
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas Bioinformatics Pre-miRNA classification Deep neural architectures High class imbalance
spellingShingle	Ciencias Informáticas Bioinformatics Pre-miRNA classification Deep neural architectures High class imbalance Bugnon, Leandro A. Yones, Cristian Milone, Diego H. Stegmayer, Georgina Deep neural architectures for highly imbalanced data in bioinformatics
topic_facet	Ciencias Informáticas Bioinformatics Pre-miRNA classification Deep neural architectures High class imbalance
description	In this work, we present two new variants to the deepSOM model: the deep elastic SOM (deSOM) and the deep ensemble elastic SOM (deeSOM), which overcome the mentioned issues. In deSOM the number of deep levels not only grows automatically, but also the size of each layer is expanded adaptively according to the data at each level, thus pre-miRNA neurons can be re-organized in a larger space.
format	Objeto de conferencia Resumen
author	Bugnon, Leandro A. Yones, Cristian Milone, Diego H. Stegmayer, Georgina
author_facet	Bugnon, Leandro A. Yones, Cristian Milone, Diego H. Stegmayer, Georgina
author_sort	Bugnon, Leandro A.
title	Deep neural architectures for highly imbalanced data in bioinformatics
title_short	Deep neural architectures for highly imbalanced data in bioinformatics
title_full	Deep neural architectures for highly imbalanced data in bioinformatics
title_fullStr	Deep neural architectures for highly imbalanced data in bioinformatics
title_full_unstemmed	Deep neural architectures for highly imbalanced data in bioinformatics
title_sort	deep neural architectures for highly imbalanced data in bioinformatics
publishDate	2019
url	http://sedici.unlp.edu.ar/handle/10915/87801
work_keys_str_mv	AT bugnonleandroa deepneuralarchitecturesforhighlyimbalanceddatainbioinformatics AT yonescristian deepneuralarchitecturesforhighlyimbalanceddatainbioinformatics AT milonediegoh deepneuralarchitecturesforhighlyimbalanceddatainbioinformatics AT stegmayergeorgina deepneuralarchitecturesforhighlyimbalanceddatainbioinformatics
bdutipo_str	Repositorios
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Deep neural architectures for highly imbalanced data in bioinformatics

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