Browsing by Author "Tallón Ballesteros, Antonio Javier"
Now showing items 1-14 of 14
-
Presentation
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 ...
-
Chapter of Book
Data Cleansing Meets Feature Selection: A Supervised Machine Learning Approach
(Springer, 2015)This paper presents a novel procedure to apply in a sequential way two data preparation techniques from a different nature ...
-
Chapter of Book
Data Mining Methods Applied to a Digital Forensics Task for Supervised Machine Learning
(2014)Digital forensics research includes several stages. Once we have collected the data the last goal is to obtain a model in ...
-
Presentation
Deleting or Keeping Outliers for Classifier Training?
(IEEE, 2014)This paper introduces two statistical outlier detection approaches by classes. Experiments on binary and multi-class ...
-
Final Degree Project
Diseño de una herramienta on-line de intercambio de bienes y servicios para la comunidad universitaria
(2017)El presente Trabajo de Fin de Grado, titulado: “Diseño de una herramienta on-line de intercambio de bienes y servicios ...
-
Article
Enseñanza de ingeniería informática en inglés: sistemas operativos como caso de estudio
(Universidad de Zulia (Maracaibo, Venezuela), 2015)Este artículo describe la experiencia desarrollada en la Universidad de Sevilla en la asignatura “Sistemas Operativos”, ...
-
Article
Feature selection to enhance a two-stage evolutionary algorithm in product unit neural networks for complex classification problems
(Elsevier, 2013)This paper combines feature selection methods with a two-stage evolutionary classifier based on product unit neural networks. ...
-
Article
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 ...
-
Chapter of Book
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 ...
-
Presentation
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 ...
-
Article
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 ...
- PhD Thesis
-
Article
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 ...
-
Chapter of Book
Tackling Ant Colony Optimization Meta-Heuristic as Search Method in Feature Subset Selection Based on Correlation or Consistency Measures
(Springer, 2014)This paper introduces the use of an ant colony optimization (ACO) algorithm, called Ant System, as a search method in two ...