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Listar por autor "Ruiz Sánchez, Roberto"
Mostrando ítems 1-20 de 26
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Capítulo de Libro
Analysis of Feature Rankings for Classification
Ruiz Sánchez, Roberto; Aguilar Ruiz, Jesús Salvador; Riquelme Santos, José Cristóbal; Díaz Díaz, Norberto (2005)Different ways of contrast generated rankings by feature selection algorithms are presented in this paper, showing several ...
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Ponencia
Best Agglomerative Ranked Subset for Feature Selection
Ruiz Sánchez, Roberto; Aguilar Ruiz, Jesús Salvador; Riquelme Santos, José Cristóbal (2008-09)The enormous increase of the size in databases makes finding an optimal subset of features extremely difficult. In this ...
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Capítulo de Libro
Efficient Incremental-Ranked Feature Selection in Massive Data
Ruiz Sánchez, Roberto; Aguilar Ruiz, Jesús Salvador; Riquelme Santos, José Cristóbal (Chapman and Hall/CRC, 2007) -
Capítulo de Libro
Estimación y toma de decisiones mediante Minería de Datos
Ferrer Troyano, Francisco Javier; Giráldez Rojo, Raúl; Ruiz Sánchez, Roberto (Netlibros S.L., 2007)En este capítulo se describen diversas técnicas de Minería de Datos que muestran la utilidad de las mismas para la extracción ...
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Informe
Estudio de técnicas de clustering, Informe Técnico LSI-2000-14
Giráldez Rojo, Raúl; Ruiz Sánchez, Roberto (2000) -
Capítulo de Libro
Evolutionary q-Gaussian Radial Basis Functions for Improving Prediction Accuracy of Gene Classification Using Feature Selection
Fernández Navarro, Francisco; Hervás Martínez, César; Gutiérrez, Pedro Antonio; Ruiz Sánchez, Roberto; Riquelme Santos, José Cristóbal (2010)This paper proposes a Radial Basis Function Neural Network (RBFNN) which reproduces different Radial Basis Functions (RBFs) ...
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Capítulo de Libro
Fast Feature Ranking Algorithm
Ruiz Sánchez, Roberto; Riquelme Santos, José Cristóbal; Aguilar Ruiz, Jesús Salvador (2003)The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant ...
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Capítulo de Libro
Fast Feature Selection by Means of Projections
Ruiz Sánchez, Roberto; Riquelme Santos, José Cristóbal; Aguilar Ruiz, Jesús Salvador (2003)The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant ...
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Artículo
Filter‑based feature selection in the context of evolutionary neural networks in supervised machine learning
Tallón Ballesteros, Antonio Javier; Riquelme Santos, José Cristóbal; Ruiz Sánchez, Roberto (Springer, 2020)This paper presents a workbench to get simple neural classifcation models based on product evolutionary networks via a ...
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Ponencia
Finding Defective Modules from Highly Unbalanced Datasets
Riquelme Santos, José Cristóbal; Ruiz Sánchez, Roberto; Rodríguez García, Daniel; Moreno, J. (Sociedad de Ingeniería de Software y Tecnologías de Desarrollo de Software (SISTEDES), 2008-10)Many software engineering datasets are highly unbalanced, i.e., the number of instances of a one class outnumber the number ...
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Artículo
Finding Defective Software Modules by Means of Data Mining Techniques
Riquelme Santos, José Cristóbal; Ruiz Sánchez, Roberto; Aguilar Ruiz, Jesús Salvador; Rodríguez García, Daniel (IEEE, 2009-07)The characterization of defective modules in software engineering remains a challenge. In this work, we use data mining ...
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Capítulo de Libro
Heuristic Search over a Ranking for Feature Selection
Ruiz Sánchez, Roberto; Riquelme Santos, José Cristóbal; Aguilar Ruiz, Jesús Salvador (2005)In this work, we suggest a new feature selection technique that lets us use the wrapper approach for finding a well suited ...
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Tesis Doctoral
Heurísticas de selección de atributos para datos de gran dimensionalidad
Ruiz Sánchez, Roberto (2006)Esta tesis doctoral se enmarca en el campo del aprendizaje automático y aborda uno de sus principales problemas, como es ...
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Ponencia
Knowledge representation and applied decision making (KREAM)
Rodríguez García, Daniel; Dolado, Javier; Riquelme Santos, José Cristóbal; Ruiz Sánchez, Roberto; Sicilia Urbán, Miguel Ángel (ScienceDirect, 2010-05)The aim of this workshop is to provide a forum for discussion and debate on the application of knowledge representation ...
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Artículo
Merging subsets of attributes to improve a hybrid consistency-based filter: a case of study in product unit neural networks
Tallón Ballesteros, Antonio Javier; Riquelme Santos, José Cristóbal; Ruiz Sánchez, Roberto (Taylor and Francis, 2016)This paper presents a quality enhancement of the selected features by a hybrid filter-based jointly on feature ranking and ...
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Capítulo de Libro
NLC: A Measure Based on Projections
Ruiz Sánchez, Roberto; Riquelme Santos, José Cristóbal; Aguilar Ruiz, Jesús Salvador (2003)In this paper, we propose a new feature selection criterion. It is based on the projections of data set elements onto each ...
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Artículo
Presentación: Minería de Datos
Ruiz Sánchez, Roberto; Gilbert, Karina; Riquelme Santos, José Cristóbal (Asociación Española para la Inteligencia Artificial, 2006)La Minería de Datos ha experimentado en los últimos años una notable explosión de interés tanto en ámbitos académicos ...
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Artículo
Projection-based measure for efficient feature selection
Ruiz Sánchez, Roberto; Riquelme Santos, José Cristóbal; Aguilar Ruiz, Jesús Salvador (IOS Press, 2002-12-01)The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant ...
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Ponencia
Searching for Rules to find Defective Modules in Unbalanced Data Sets
Rodríguez García, Daniel; Riquelme Santos, José Cristóbal; Ruiz Sánchez, Roberto; Aguilar Ruiz, Jesús Salvador (IEEE Xplore, 2009-05)The characterisation of defective modules in software engineering remains a challenge. In this work, we use data mining ...
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Artículo
Semi-wrapper feature subset selector for feed-forward neural networks: Applications to binary and multi-class classification problems
Tallón Ballesteros, Antonio Javier; Riquelme Santos, José Cristóbal; Ruiz Sánchez, Roberto (ScienceDirect, 2019-08-11)This paper explores widely the data preparation stage within the process of knowledge discovery and data mining via feature ...