• A probabilistic tri-class Support Vector Machine 

      González Abril, Luis; Angulo Bahón, Cecilio; Velasco Morente, Francisco; Ortega Ramírez, Juan Antonio (2010-07)
      Article
      Accés obert
      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
      Accés restringit per política de l'editorial
      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
      Accés obert
      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 ...
    • Online motion recognition using an accelerometer in a mobile device 

      Fuentes, Daniel; González Abril, Luis; Angulo Bahón, Cecilio; Ortega Ramírez, Juan Antonio (2012)
      Article
      Accés obert
      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 ...
    • Towards a healthcare digital twin 

      Angulo Bahón, Cecilio; Ortega Ramírez, Juan Antonio; Gonzalez Abril, Luis (IOS Press, 2019)
      Comunicació de congrés
      Accés restringit per política de l'editorial
      The main aim of this short position paper is to introduce a proposal to orchestrate an ecosystem of manipulation of reliable and safe data, applied to the field of health, proposing the creation of digital twins for ...