Recent Submissions

  • Modelado de las concentraciones locales de ozono en la Zona Centro del Area Metropolitana de la Ciudad de México 

    Acosta, Jesús; Nebot Castells, M. Àngela; Fuertes Armengol, José Mª (2006-03)
    External research report
    Open Access
    La contaminación del aire constituye el problema medioambiental de principal atención en las áreas urbanas debido a que afecta la salud de la población, en especial a la de los niños. Es por ello, que la construcción de ...
  • A variational formulation for GTM through time: Theoretical foundations 

    Olier Caparroso, Iván; Vellido Alcacena, Alfredo (2007-10)
    External research report
    Open Access
    Generative Topographic Mapping (GTM) is a latent variable model that, in its standard version, was conceived to provide clustering and visualization of multivariate, real-valued, i.i.d. data. It was also extended to deal ...
  • A variational Bayesian formulation for GTM: Theoretical foundations 

    Olier Caparroso, Iván; Vellido Alcacena, Alfredo (2007-09)
    External research report
    Open Access
    Generative Topographic Mapping (GTM) is a non-linear latent variable model of the manifold learning family that provides simultaneous visualization and clustering of high-dimensional data. It was originally formulated as ...
  • Predictive models in churn data mining: a review 

    García, David L.; Vellido Alcacena, Alfredo; Nebot Castells, M. Àngela (2007-01)
    External research report
    Open Access
    The development of predictive models of customer abandonment plays a central role in any churn management strategy. These models can be developed using either qualitative approaches or can take a data-centred point of view. ...
  • Customer continuity management as a foundation for churn data mining 

    García, David L.; Vellido Alcacena, Alfredo; Nebot Castells, M. Àngela (2007-01)
    External research report
    Open Access
    This report lays the first theoretical foundations for a research program on analytical churn management. In the current hypercompetitive business scenario, firms have to bend over backwards in their strategies both to ...
  • Elements of generative manifold learning for semi-supervised tasks 

    Cruz, Raúl; Vellido Alcacena, Alfredo (2007-01)
    External research report
    Open Access
    For many real-world application problems, the availability of data labels for supervised learning is rather limited. It is often the case that a limited number of labelled cases is accompanied by a larger number of unlabeled ...
  • Método multiobjetivo de aprendizaje para razonamiento inductivo difuso 

    Acosta, Jesús; Nebot Castells, M. Àngela; Fuertes Armengol, José Mª (2006-10)
    External research report
    Open Access
    It has been recognized in various studies that the variations in the granularity (number of classes per variable) and the membership functions have a significant effect in the behaviour of the fuzzy systems. The FIR ...
  • Object recognition and tracking in video sequences: a new integrated methodology 

    Amézquita Gómez, Nicolás; Alquézar Mancho, René; Serratosa, Francesc (2006-06)
    External research report
    Open Access
    This paper describes a methodology that integrates recognition and segmentation, simultaneously with image tracking in a cooperative manner, for recognition of objects (or parts of them) in image sequences. A probabilistic ...
  • Combining neural networks and clustering techniques for object recognition in indoor video sequences 

    Serratosa, Francesc; Amézquita Gómez, Nicolás; Alquézar Mancho, René (2006-06)
    External research report
    Open Access
    This paper presents the results obtained in a real experiment for object recognition in a sequence of images captured by a mobile robot in an indoor environment. Objects are simply represented as an unstructured set of ...
  • Un algoritmo para la extracción automática de reglas lógicas a partir de modelos FIR 

    Castro Espinoza, Félix Agustín; Nebot Castells, M. Àngela (2007-01)
    External research report
    Open Access
    In this report the LR-FIR (Logical Rules with FIR) algorithm is described. The main goal of LR-FIR is to extract, in an automatic way, a set of logical rules that explain system’s behaviour. The algorithm starts from the ...

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