Ara es mostren els items 1-16 de 16

    • A thermodynamic algorithm for feature selection 

      Belanche Muñoz, Luis Antonio; González Navarro, Félix Fernando (Thomson Editores Spain, 2007)
      Text en actes de congrés
      Accés obert
      The main purpose of Feature Selection (FS) is to find a reduced subset of attributes from a data set described by a feature set. This implies a search process in the space of possible solutions, trying to optimize an ...
    • Differentiation of glioblastomas and metastases using 1H-MRS spectral data 

      González Navarro, Félix Fernando; Belanche Muñoz, Luis Antonio (CSREA Press, 2010)
      Text en actes de congrés
      Accés obert
      Hydrogen-1 magnetic resonance spectroscopy (1H-MRS) allows noninvasive in vivo quantification of metabolite concentrations in brain tissue. In this work two of the most aggressive brain tumors are studied with the purpose ...
    • Effective classification and gene expression profiling for the facioscapulohumeral muscular dystrophy 

      González Navarro, Félix Fernando; Belanche Muñoz, Luis Antonio; Silva Colón, Karen Andrea (2013-12-13)
      Article
      Accés obert
      The Facioscapulohumeral Muscular Dystrophy (FSHD) is an autosomal dominant neuromuscular disorder whose incidence is estimated in about one in 400,000 to one in 20,000. No effective therapeutic strategies are known to halt ...
    • Feature and model selection in 1H-MRS single voxel spectra for cancer classification 

      González Navarro, Félix Fernando; Belanche Muñoz, Luis Antonio (Future Technology Press, 2009)
      Capítol de llibre
      Accés restringit per política de l'editorial
      Machine learning is a powerful paradigm within which to analyze 1HMRS spectral data for the classification of tumour pathologies. An important characteristic of this task is the high dimensionality of the involved data ...
    • Feature selection for microarray gene expression data using simulated annealing guided by the multivariate joint entropy 

      González Navarro, Félix Fernando; Belanche Muñoz, Luis Antonio (2013)
      Report de recerca
      Accés obert
      In this work a new way to calculate the multivariate joint entropy is presented. This measure is the basis for a fast information-theoretic based evaluation of gene relevance in a Microarray Gene Expression data context. ...
    • Feature selection for microarray gene expression data using simulated annealing guided by the multivariate joint entropy 

      González Navarro, Félix Fernando; Belanche Muñoz, Luis Antonio (2014-04-01)
      Article
      Accés obert
      Microarray classification poses many challenges for data analysis, given that a gene expression data set may consist of dozens of observations with thousands or even tens of thousands of genes. In this context, feature ...
    • Feature selection for the prediction and visualization of brain tumor types using proton magnetic resonance spectroscopy data 

      González Navarro, Félix Fernando; Belanche Muñoz, Luis Antonio (Springer, 2012)
      Capítol de llibre
      Accés restringit per política de l'editorial
      In cancer diagnosis, classification of the different tumor types is of great importance. An accurate prediction of basic tumor types provides better treatment and may minimize the negative impact of incorrectly targeted ...
    • Feature selection in proton magnetic resonance spectroscopy data of brain tumors 

      González Navarro, Félix Fernando; Belanche Muñoz, Luis Antonio (Università degli Studi di Salerno, 2011)
      Text en actes de congrés
      Accés obert
      In cancer diagnosis, classification of the different tumor types is of great importance. An accurate prediction of different tumor types provides better treatment and may minimize the negative impact of incorrectly targeted ...
    • Feature selection in proton magnetic resonance spectroscopy for brain tumor classification 

      González Navarro, Félix Fernando; Belanche Muñoz, Luis Antonio (2008)
      Text en actes de congrés
      Accés obert
      H-MRS is a technique that uses response of protons under certain magnetic conditions to reveal the biochemical structure of human tissue. An important application is found in brain tumor diagnosis, due to the known ...
    • Gene discovery for facioscapulohumeral muscular dystrophy by machine learning techniques 

      González Navarro, Félix Fernando; Belanche Muñoz, Luis Antonio; Gámez Moreno, María G.; Flores Ríos, Brenda L.; Ibarra Esquer, Jorge E.; López Morteo, Gabriel A. (2015-12-01)
      Article
      Accés obert
      Facioscapulohumeral muscular dystrophy (FSHD) is a neuromuscular disorder that shows a preference for the facial, shoulder and upper arm muscles. FSHD affects about one in 20-400,000 people, and no effective therapeutic ...
    • Glucose oxidase biosensor modeling and predictors optimization by machine learning methods 

      González Navarro, Félix Fernando; Stilianova Stoytcheva, Margarita; Rentería Gutiérrez, Livier; Belanche Muñoz, Luis Antonio; Flores Ríos, Brenda L.; Ibarra Esquer, Jorge E. (2016-11-01)
      Article
      Accés obert
      Biosensors are small analytical devices incorporating a biological recognition element and a physico-chemical transducer to convert a biological signal into an electrical reading. Nowadays, their technological appeal resides ...
    • Machine learning methods for classifying normal vs. tumorous tissue with spectral data 

      González Navarro, Félix Fernando; Belanche Muñoz, Luis Antonio (2009)
      Text en actes de congrés
      Accés obert
      Machine learning is a powerful paradigm within which to analyze 1H-MRS spectral data for the automated classi¯cation of tumor pathologies aimed to facilitate clinical diagnosis. The high dimensionality of the involved ...
    • Parsimonious selection of useful genes in microarray gene expression data 

      González Navarro, Félix Fernando; Belanche Muñoz, Luis Antonio (Springer, 2011)
      Capítol de llibre
      Accés obert
      Machine Learning methods have of late made significant efforts to solving multidisciplinary problems in the field of cancer classification in microarray gene expression data. These tasks are characterized by a large number ...
    • TFS: a thermodynamical search algorithm for feature subset selection 

      González Navarro, Félix Fernando; Belanche Muñoz, Luis Antonio (Thomson Editores Spain, 2007)
      Text en actes de congrés
      Accés obert
      This work tackles the problem of selecting a subset of features in an inductive learning setting, by introducing a novel Thermodynamic Feature Selection algorithm (TFS). Given a suitable objective function, the algorithm ...
    • Un algoritmo para el cálculo de la relevancia entrópica multivariada y su uso en la selección de variables 

      González Navarro, Félix Fernando; Belanche Muñoz, Luis Antonio (Thomson Editores Spain, 2007)
      Text en actes de congrés
      Accés obert
      La reducción de la dimensionalidad mediante la selección de variables es uno de los pasos fundamentales del preprocesado de datos, como fase previa al análisis de información y descubrimiento de conocimiento. De entre los ...
    • Using machine learning techniques to explore H-1-MRS data of brain tumors 

      González Navarro, Félix Fernando; Belanche Muñoz, Luis Antonio (IEEE Computer Society Publications, 2009)
      Text en actes de congrés
      Accés obert
      Machine learning is a powerful paradigm to analyze Proton Magnetic Resonance Spectroscopy (1H-MRS) spectral data for the classification of brain tumor pathologies. An important characteristic of this task is the high ...