Now showing items 1-3 of 3

    • Handling binary classification problems with a priority class by using Support Vector Machines 

      Gonzalez Abril, Luis; Angulo Bahón, Cecilio; Núñez Castro, Haydemar; Leal, Yenny (2017-12-01)
      Article
      Open Access
      © 2017 Elsevier B.V. A post-processing technique for Support Vector Machine (SVM) algorithms for binary classification problems is introduced in order to obtain adequate accuracy on a priority class (labelled as a positive ...
    • Improving SVM classification on imbalanced datasets by introducing a new bias 

      Núñez Castro, Haydemar; Gonzalez Abril, Luis; Angulo Bahón, Cecilio (2017-10-14)
      Article
      Open Access
      Support Vector Machine (SVM) learning from imbalanced datasets, as well as most learning machines, can show poor performance on the minority class because SVMs were designed to induce a model based on the overall error. ...
    • Towards a healthcare digital twin 

      Angulo Bahón, Cecilio; Ortega Ramírez, Juan Antonio; Gonzalez Abril, Luis (IOS Press, 2019)
      Conference lecture
      Restricted access - publisher's policy
      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 ...