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Browsing by Author "Aguilar Ruiz, Jesús Salvador"
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Chapter of Book
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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Presentation
Feature selection based on bootstrapping
Díaz Díaz, Norberto; Aguilar Ruiz, Jesús Salvador; Nepomuceno Chamorro, Juan Antonio; García Gutiérrez, Jorge (IEEE Computer Society, 2005)The results of feature selection methods have a great influence on the success of data mining processes, especially when ...
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Article
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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Article
Finding representative patterns withordered projections
Riquelme Santos, José Cristóbal; Aguilar Ruiz, Jesús Salvador; Toro Bonilla, Miguel (Elsevier, 2003)This paper presents a new approach to 2nding representative patterns for dataset editing. The algorithm patterns by ...
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Presentation
Gene Ranking from Microarray Data for Cancer Classification : A Machine Learning Approach
Ruiz, Roberto; Pontes Balanza, Beatriz; Giráldez, Raúl; Aguilar Ruiz, Jesús Salvador (Springer, 2006)Traditional gene selection methods often select the top–ranked genes according to their individual discriminative power. ...
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Presentation
Generation of Management Rules through System Dynamics and Evolutionary Computation
Aguilar Ruiz, Jesús Salvador; Riquelme Santos, José Cristóbal; Rodríguez, Daniel; Ramos Román, Isabel (Springer, 2002)Decision making has been traditionally based on a managers experience. This paper, however, discusses how a software ...
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Chapter of Book
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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PhD Thesis
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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Article
Improved biclustering on expression data through overlapping control
Pontes Balanza, Beatriz; Divina, Federico; Giráldez, Raúl; Aguilar Ruiz, Jesús Salvador (Emerald, 2009)Purpose – The purpose of this paper is to present a novel control mechanism for avoiding overlapping among biclusters in ...
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Presentation
Improving the Efficiency of MECoMaP: A Protein Residue-Residue Contact Predictor
Márquez Chamorro, Alfonso Eduardo; Divina, Federico; Aguilar Ruiz, Jesús Salvador; Santiesteban Toca, Cosme E. (Springer, 2013)This work proposes an improvement of the multi-objective evolutionary method for the protein residue-residue contact ...
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Presentation
Improving the Evolutionary Coding for Machine Learning Tasks
Aguilar Ruiz, Jesús Salvador; Riquelme Santos, José Cristóbal; Valle Sevillano, Carmelo del (IOS Press, 2002)The most influential factors in the quality of the solutions found by an evolutionary algorithm are a correct coding of ...
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Article
Incremental Rule Learning and Border Examples Selection from Numerical Data Streams
Ferrer Troyano, Francisco Javier; Aguilar Ruiz, Jesús Salvador; Riquelme Santos, José Cristóbal (Graz University of Technology, Institut für Informationssysteme und Computer Medie, 2005)Mining data streams is a challenging task that requires online systems based on incremental learning approaches. This ...
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Chapter of Book
Incremental rule learning based on example nearness from numerical data streams
Ferrer Troyano, Francisco Javier; Aguilar Ruiz, Jesús Salvador; Riquelme Santos, José Cristóbal (2005)Mining data streams is a challenging task that requires online systems based on incremental learning approaches. This paper ...
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Article
Incremental wrapper-based gene selection from microarray data for cancer classification
Ruiz, Roberto; Riquelme Santos, José Cristóbal; Aguilar Ruiz, Jesús Salvador (Elsevier, 2006)Gene expression microarray is a rapidly maturing technology that provides the opportunity to assay the expression levels ...
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Presentation
Inferring gene coexpression networks with Biclustering based on Scatter Search
Nepomuceno Chamorro, Juan Antonio; Troncoso Lora, Alicia; Aguilar Ruiz, Jesús Salvador (IEEE Computer Society, 2011)The identification of regulatory modules is one of the most important tasks in order to discover disease markers. This ...
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Article
Inferring gene regression networks with model trees
Nepomuceno Chamorro, Isabel de los Ángeles; Aguilar Ruiz, Jesús Salvador; Riquelme Santos, José Cristóbal (BioMed Central, 2010)Background: Novel strategies are required in order to handle the huge amount of data produced by microarray technologies. ...
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Article
Integrating biological knowledge based on functional annotations for biclustering of gene expression data
Nepomuceno Chamorro, Juan Antonio; Troncoso Lora, Alicia; Nepomuceno Chamorro, Isabel de los Ángeles; Aguilar Ruiz, Jesús Salvador (Elsevier, 2015)Gene expression data analysis is based on the assumption that co-expressed genes imply co-regulated genes. This assumption ...
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Article
Knowledge-Based Fast Evaluation for Evolutionary Learning
Giráldez Rojo, Raúl; Aguilar Ruiz, Jesús Salvador; Riquelme Santos, José Cristóbal (IEEE, 2005)The increasing amount of information available is encouraging the search for efficient techniques to improve the data ...
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Chapter of Book
LBF: A Labeled-Based Forecasting Algorithm and Its Application to Electricity Price Time Series
Martínez Álvarez, Francisco; Troncoso Lora, Alicia; Riquelme Santos, José Cristóbal; Aguilar Ruiz, Jesús Salvador (2008)A new approach is presented in this work with the aim of predicting time series behaviors. A previous labeling of the ...
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Chapter of Book
Learning Decision Rules by Means of Hybrid-Encoded Evolutionary Algorithms
Riquelme Santos, José Cristóbal; Aguilar Ruiz, Jesús Salvador (Springer, 2005)This paper describes an approach based on evolutionary algorithms, HIDER ( erarchical cision ules), for learning rules in ...