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Artículo
Filter‑based feature selection in the context of evolutionary neural networks in supervised machine learning
(Springer, 2020)
This paper presents a workbench to get simple neural classifcation models based on product evolutionary networks via a prior data preparation at attribute level by means of flter-based feature selection. Therefore, the ...
Artículo
Semi-wrapper feature subset selector for feed-forward neural networks: Applications to binary and multi-class classification problems
(ScienceDirect, 2019-08-11)
This paper explores widely the data preparation stage within the process of knowledge discovery and data mining via feature subset selection in the context of two very well-known neural models: radial basis function neural ...
Ponencia
Low Dimensionality or Same Subsets as a Result of Feature Selection: An In-Depth Roadma
(Springer, 2017-06)
This paper addresses the situation that may happen after the application of feature subset selection in terms of a reduced number of selected features or even same solutions obtained by different algorithms. The data mining ...
Artículo
Merging subsets of attributes to improve a hybrid consistency-based filter: a case of study in product unit neural networks
(Taylor and Francis, 2016)
This paper presents a quality enhancement of the selected features by a hybrid filter-based jointly on feature ranking and feature subset selection (FR-FSS) using a consistency-based measure via merging new features which ...
Ponencia
Accuracy Increase on Evolving Product Unit Neural Networks via Feature Subset Selection
(Springer, 2016)
A framework that combines feature selection with evolution ary artificial neural networks is presented. This paper copes with neural networks that are applied in classification tasks. In machine learning area, feature ...