Ara es mostren els items 61-80 de 84

    • New multiplatform computer program for numerical identification of microorganisms 

      Flores Baquero, Óscar; Belanche Muñoz, Luis Antonio; Blanch Gisbert, Anicet R. (2009-12)
      Article
      Accés restringit per política de l'editorial
      The classification of bacteria by using genomic methods or expensive biochemical-based commercial kits is sometimes beyond the reach of many laboratories that need to perform numerous classifications of unknown bacterial ...
    • Off-the-grid: Fast and effective hyperparameter search for kernel clustering 

      Ordozgoiti Rubio, Bruno; Belanche Muñoz, Luis Antonio (Springer, 2020)
      Text en actes de congrés
      Accés obert
      Kernel functions are a powerful tool to enhance the k-means clustering algorithm via the kernel trick. It is known that the parameters of the chosen kernel function can have a dramatic impact on the result. In supervised ...
    • On aggregation operators of transitive similarity and dissimilarity relations 

      Orozco Luquero, Jorge; Belanche Muñoz, Luis Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2004)
      Text en actes de congrés
      Accés obert
      Similarity and dissimilarity are widely used concepts. One of the most studied matters is their combination or aggregation. However, transitivity property is often ignored when aggregating despite being a highly important ...
    • On some strategies for missing values in positive semidefinite matrices 

      Belanche Muñoz, Luis Antonio; Vázquez García, Miguel (Thompson, 2005)
      Text en actes de congrés
      Accés obert
      This article presents our work on missing values in Positive Semi-Definite or PSD matrices. We show how simple properties of PSD matrices can be used to deal with missing values. We study several situations and investigate ...
    • On the selection of hidden neurons with heuristic search strategies for approximation 

      Barrio Moliner, Ignacio; Romero Merino, Enrique; Belanche Muñoz, Luis Antonio (2006)
      Text en actes de congrés
      Accés obert
      Feature Selection techniques usually follow some search strategy to select a suitable subset from a set of features. Most neural network growing algorithms perform a search with Forward Selection with the objective of ...
    • 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 ...
    • Predicting fecal sources in waters with diverse pollution loads using general and molecular host-specific indicators and applying machine learning methods 

      Casanovas Massana, Arnau; Gómez Doñate, Marta; Sánchez, David; Belanche Muñoz, Luis Antonio; Muniesa, Maite; Blanch, Anicet R. (2015-03-15)
      Article
      Accés obert
      In this study we use a machine learning software (Ichnaea) to generate predictive models for water samples with different concentrations of fecal contamination (point source, moderate and low). We applied several MST methods ...
    • Predicting software anomalies using machine learning techniques 

      Alonso López, Javier; Belanche Muñoz, Luis Antonio; Avresky, Dimiter (IEEE Computer Society Publications, 2011)
      Text en actes de congrés
      Accés obert
      In this paper, we present a detailed evaluation of a set of well-known Machine Learning classifiers in front of dynamic and non-deterministic software anomalies. The system state prediction is based on monitoring system ...
    • Remainder subset awareness for feature subset selection 

      Prat Masramon, Gabriel; Belanche Muñoz, Luis Antonio (Thomson Editores Spain, 2007)
      Text en actes de congrés
      Accés obert
      Feature subset selection has become more and more a common topic of research. This popularity is partly due to the growth in the number of features and application domains. The family of algorithms known as plus-l-minus-r ...
    • Remainder subset awareness for feature subset selection 

      Prat Masramon, Gabriel; Belanche Muñoz, Luis Antonio (Springer-Verlag, 2009)
      Text en actes de congrés
      Accés obert
      Feature subset selection has become more and more a common topic of research. This popularity is partly due to the growth in the number of features and application domains. It is of the greatest importance to take themost ...
    • Search strategies guided by the evidence for the selection of basis functions in regression 

      Barrio Moliner, Ignacio; Romero Merino, Enrique; Belanche Muñoz, Luis Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2007)
      Text en actes de congrés
      Accés obert
      This work addresses the problem of selecting a subset of basis functions for a model linear in the parameters for regression tasks. Basis functions from a set of candidates are explicitly selected with search methods coming ...
    • Selection of basis functions guided by the L2 soft margin 

      Barrio Moliner, Ignacio; Romero Merino, Enrique; Belanche Muñoz, Luis Antonio (Springer, 2007)
      Text en actes de congrés
      Accés obert
      Support Vector Machines (SVMs) for classification tasks produce sparse models by maximizing the margin. Two limitations of this technique are considered in this work: firstly, the number of support vectors can be large ...
    • Similarity networks for classification: a case study in the Horse Colic problem 

      Belanche Muñoz, Luis Antonio; Hernández González, Jerónimo (2014)
      Report de recerca
      Accés obert
      This paper develops a two-layer neural network in which the neuron model computes a user-defined similarity function between inputs and weights. The neuron transfer function is formed by composition of an adapted logistic ...
    • Similarity networks for heterogeneous data 

      Belanche Muñoz, Luis Antonio; Hernández González, Jerónimo (I6doc.com, 2012)
      Text en actes de congrés
      Accés obert
      A two-layer neural network is developed in which the neuron model computes a user-defined similarity function between inputs and weights. The neuron model is formed by the composition of an adapted logistic function with ...
    • Similarity-based heterogeneous neuron models 

      Belanche Muñoz, Luis Antonio (IOS Press, 2000)
      Text en actes de congrés
      Accés obert
      This paper introduces a general class of neuron models, accepting heterogeneous inputs in the form of mixtures of continuous (crisp or fuzzy) numbers, linguistic information, and discrete (either ordinal or nominal) ...
    • Statistical approaches for modeling in microbial source tracking 

      Belanche Muñoz, Luis Antonio; Blanch, Anicet R. (Springer, 2011)
      Capítol de llibre
      Accés restringit per política de l'editorial
      Microbial source tracking (MST) concerns the definition of new indicators and appropriate detection methods, the identification of host-specific indicators of fecal pollution, and ultimately the development of useful and ...
    • 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 ...
    • To be or nought to be: una qüestió irrellevant? 

      Belanche Muñoz, Luis Antonio (1991-10)
      Report de recerca
      Accés obert
    • Towards a model of input-output behaviour of wastewater treatment plants using soft computing techniques 

      Belanche Muñoz, Luis Antonio; Valdés Ramos, Julio José; Comas Matas, Joaquim; Rodriguez Roda, Ignasi; Poch Espallargas, Manel (Elsevier, 1999-03)
      Article
      Accés obert
      Wastewater Treatment Plants (WWTPs) control and prediction under a wide range of operating conditions is an important goal in order to avoid breaking of environmental balance, keeping the system in stable operating conditions ...
    • Tradares: A tool for the automatic evaluation of human translation quality within an MOOC environment 

      Betanzos Atienza, Miguel; Ruiz Costa-Jussà, Marta; Belanche Muñoz, Luis Antonio (2017-05-13)
      Article
      Accés obert
      In this paper, we introduce TradARES, a tool for the automatic evaluation of human translation quality developed in the context of an OpenEdx MOOC (Massive Open Online Course), setting the foundation for a tool that provides ...