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Ponencia
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A novel approach for avoiding overlapping among biclusters in expression data
(IEEE Computer Society, 2008)
Biclustering is a technique used in analysis of microarray data. It aims at discovering subsets of genes that presents the same tendency under a subsest of experimental conditions. Various techniques have been introduced ...
Capítulo de Libro
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LBF: A Labeled-Based Forecasting Algorithm and Its Application to Electricity Price Time Series
(2008)
A new approach is presented in this work with the aim of predicting time series behaviors. A previous labeling of the samples is obtained utilizing clustering techniques and the forecasting is applied using the information ...
Ponencia
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Improving the Evolutionary Coding for Machine Learning Tasks
(IOS Press, 2002)
The most influential factors in the quality of the solutions found by an evolutionary algorithm are a correct coding of the search space and an appropriate evaluation function of the potential solutions. The coding of ...
Ponencia
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Searching for Rules to find Defective Modules in Unbalanced Data Sets
(IEEE Xplore, 2009-05)
The characterisation of defective modules in software engineering remains a challenge. In this work, we use data mining techniques to search for rules that indicate modules with a high probability of being defective. Using ...
Capítulo de Libro
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Data streams classification by incremental rule learning with parameterized generalization
(2006)
Mining data streams is a challenging task that requires online systems based on incremental learning approaches. This paper describes a classification system based on decision rules that may store up--to--date border ...
Capítulo de Libro
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Fast Feature Selection by Means of Projections
(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 ...
Ponencia
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A Multi-objective Genetic Algorithm for the Protein Structure Prediction
(IEEE Computer Society, 2011)
The Protein Structure Prediction (PSP) problem consists of predicting the structure of a protein from its amino acids sequence, and have received much attention lately. In fact, being able to predict the structure of a ...
Ponencia
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VEt : Una medida para la detección de patrones de desplazamiento y escalado en biclusters
(IberGarceta, 2010)
La mayoría de las heurísticas utilizadas para la búsqueda de biclusters en microarrays hacen uso del residuo cuadrático medio (MSR) como medida de evaluación de las distintas soluciones obtenidas. El uso de MSR ...
Capítulo de Libro
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Multidimensional Data Visual Exploration by Interactive Information Segments
(2004)
Visualization techniques provide an outstanding role in KDD process for data analysis and mining. However, one image does not always convey successfully the inherent information from high dimensionality, very large databases. ...
Artículo
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Building Transcriptional Association Networks in Cytoscape with RegNetC
(IEEE Computer Society, 2015)
The Regression Network plugin for Cytoscape (RegNetC) implements the RegNet algorithm for the inference of transcriptional association network from gene expression profiles. This algorithm is a model tree-based method ...