Rapid detection of bacterial foodborne pathogens is crucial in reducing the incidence of
diseases associated with food contaminated with pathogens and toxins. This article presents …

This paper introduces a framework for feature selection. Firstly, it establishes a percentage
in order to set a cut-off point in the context of feature ranking based on feature selection …

Abstract A FeedForward Neural Network (FFNN) with a single hidden layer (Single
Feedforward Neural Networks, SFNN) represents a classical discriminative model able to …

This paper proposes a methodology to feature sorting as well as feature selection in the
context of supervised machine learning algorithms. Feature sorting has been revealed as a …

This contribution presents an approach to take advantage of correlation and consistency
measures in attribute subset selection for image recognition. The proposal has been …

Trabajo de Máster en Economía, Finanzas y Computación. Tutor: Dr. D. Antonio Javier
Tallón Ballesteros. La selección de variables es una actividad crucial del preprocesamiento …

This paper introduces the application of feature ranking with a twofold purpose: first it
achieves a feature sorting which becomes into a feature selection procedure given that a …

We propose the two-dimensional visual map classifier and regressor, which project the high-
dimensional patterns on a 2D map, for human visualization and understanding of the data …

Abstract A Bayesian Network (BN) is a graphical structure, with associated conditional
probability tables. This structure allows us to obtain different knowledge than the one …

This paper introduces a novel two-step proposal for attribute subset selection. The first step
is able to extract handy information from non-selected features after an initial feature subset …