Now showing items 1-8 of 8

    • A first approximation in order to define a Difficulty Factor of the bi-classification in a dataset by using SVMs 

      González Abril, Luis; Angulo Bahón, Cecilio (2013)
      Conference lecture
      Open Access
      The main aim in this paper is to analyze the complexity of a Support Vector Machine -SVM- in the construction of a classifier for a bi-classification problem on a specific dataset. Hence, an index is defined in terms of ...
    • A post-processing strategy for SVM learning from unbalanced data 

      Núñez Castro, Haydemar; González Abril, Luis; Angulo Bahón, Cecilio (2011)
      Conference lecture
      Open Access
      Standard learning algorithms may perform poorly when learning from unbalanced datasets. Based on the Fisher’s discriminant analysis, a post-processing strategy is introduced to deal datasets with significant imbalance ...
    • A probabilistic tri-class Support Vector Machine 

      González Abril, Luis; Angulo Bahón, Cecilio; Velasco Morente, Francisco; Ortega Ramírez, Juan Antonio (2010-07)
      Article
      Open Access
      A probabilistic interpretation for the output obtained from a tri-class Support Vector Machine into a multi-classification problem is presented in this paper. Probabilistic outputs are defined when solving a multi-class ...
    • A study on output normalization in multiclass SVMs 

      González Abril, Luis; Velasco Morente, Francisco; Angulo Bahón, Cecilio; Ortega Ramírez, Juan Antonio (2013-02-01)
      Article
      Restricted access - publisher's policy
      The use of binary support vector machines (SVMs) in multi-classification is addressed in this paper. Margins associated to the bi-classifiers, since they depend on the geometrical disposition of the classes being separated, ...
    • Generative adversarial networks for anonymized healthcare of lung cancer patients 

      González Abril, Luis; Angulo Bahón, Cecilio; Ortega Ramírez, Juan Antonio; López Guerra, José Luis (2021-09-01)
      Article
      Open Access
      The digital twin in health care is the dynamic digital representation of the patient’s anatomy and physiology through computational models which are continuously updated from clinical data. Furthermore, used in combination ...
    • Máquinas de soporte vectorial sobre conjuntos de datos no balanceados: propuesta de un nuevo sesgo 

      Núñez Castro, Haydemar; González Abril, Luis; Angulo Bahón, Cecilio (2012-09)
      Research report
      Open Access
      En el aprendizaje con conjuntos de datos no balanceados, la máquina de soporte vectorial (SVM) puede exhibir un bajo rendimiento sobre la clase minoritaria ya que, como otras máquinas de aprendizaje, están diseñadas para ...
    • Modificación del sesgo de una SVM entrenada sobre clases no balanceadas 

      Núñez Castro, Haydemar; Angulo Bahón, Cecilio; González Abril, Luis (Universidad de Sevilla, 2011)
      Conference report
      Open Access
      En el área de aprendizaje automático, uno de los problemas que se presenta es el relacionado con las clases no balanceadas. Esto ocurre cuando en el conjunto de datos se dispone de muchos ejemplos de una clase, pero ...
    • Online motion recognition using an accelerometer in a mobile device 

      Fuentes, Daniel; González Abril, Luis; Angulo Bahón, Cecilio; Ortega Ramírez, Juan Antonio (2012)
      Article
      Open Access
      This paper introduces a new method to implement a motion recognition process using a mobile phone fitted with an accelerometer. The data collected from the accelerometer are interpreted by means of a statistical study and ...