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Refinado por: Nome da Publicação: Neurocomputing remover
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Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems
Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems
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Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems

Abiri, Najmeh ; Linse, Björn ; Edén, Patrik ; Ohlsson, Mattias

Neurocomputing (Amsterdam), 2019-11, Vol.365, p.137-146 [Periódico revisado por pares]

Elsevier B.V

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Cost-sensitive selective naive Bayes classifiers for predicting the increase of the h-index for scientific journals : Advances in Learning Schemes for Function Approximation
Cost-sensitive selective naive Bayes classifiers for predicting the increase of the h-index for scientific journals : Advances in Learning Schemes for Function Approximation
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Cost-sensitive selective naive Bayes classifiers for predicting the increase of the h-index for scientific journals : Advances in Learning Schemes for Function Approximation

IBANEZ, Alfonso ; BIELZA, Concha ; LARRANAGA, Pedro

Neurocomputing (Amsterdam), 2014, Vol.135, p.42-52 [Periódico revisado por pares]

Amsterdam: Elsevier

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