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Ponencia
Mejoras en la Toma de Decisiones en Proyectos de Software. Aplicación de Téchnicas de Lógica Borrosa
(Asociación de Ingeniería del Software y Tecnologías de Desarrollo de Software (SISTEDES), 2000)
Los Simuladores de Proyectos de Desarrollo de Software basados en modelos dinámicos han supuesto un avance significativo frente a las técnicas tradicionales de estimación. Estos simuladores permiten conocer la evolución ...
Capítulo de Libro
Improving the Accuracy of a Two-Stage Algorithm in Evolutionary Product Unit Neural Networks for Classification by Means of Feature Selection
(Springer, 2011)
This paper introduces a methodology that improves the accuracy of a two-stage algorithm in evolutionary product unit neural networks for classification tasks by means of feature selection. A couple of filters have been ...
Artículo
Coordinated motion planning of manipulators by evolution strategies
(WIT Press, 1995)
A method for obtaining coordinated motion plans of manipulator robots is presented. This planning can be easily implemented by programs written in any industrial robot programming language, such as VAL II. The generated ...
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 ...
Ponencia
Using Genetic Algorithms with Variable-length Individuals for Planning Two-Manipulators Motion
(Springer Nature, 1998)
A method based on genetic algorithms for obtaining coordinated motion plans of manipulator robots is presented. A decoupled planning approach has been used; that is, the problem has been decomposed into two subproblems: ...
Capítulo de Libro
Visualization techniques of management rules for software development projects
(2003)
The application of data mining techniques to the managing of software development projects (SDP) is not an uncommon phenomenon, as in any other productive process that generates information in the way of input data and ...
Artículo
On the evolutionary weighting of neighbours and features in the k-nearest neighbour rule
(Elsevier, 2019)
This paper presents an evolutionary method for modifying the behaviour of the k-Nearest-Neighbour clas sifier (kNN) called Simultaneous Weighting of Attributes and Neighbours (SWAN). Unlike other weighting methods, SWAN ...
Artículo
Selecting the best measures to discover quantitative association rules
(Elsevier, 2014)
The majority of the existing techniques to mine association rules typically use the support and the confidence to evaluate the quality of the rules obtained. However, these two measures may not be sufficient to properly ...
Capítulo de Libro
Fast Feature Ranking Algorithm
(2003)
The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant attributes, allow making models of classification simpler and easy to understand. The algorithm has ...
Artículo
Obtaining optimal quality measures for quantitative association rules
(Elsevier, 2016)
There exist several works in the literature in which fitness functions based on a combination of weighted measures for the discovery of association rules have been proposed. Nevertheless, some differences in the measures ...