Browsing by Author "González Abril, Luis"
Now showing items 1-9 of 9
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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 AccessThe 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 AccessStandard 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 AccessA 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 policyThe 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 AccessThe 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 AccessEn 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 AccessEn 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 AccessThis 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 ... -
Statistical validation of synthetic data for lung cancer patients generated by using generative adversarial networks
González Abril, Luis; Angulo Bahón, Cecilio; Antonio Ortega, Juan; López Guerra, José Luis (2022-10-01)
Article
Open AccessThe development of healthcare patient digital twins in combination with machine learning technologies helps doctors in therapeutic prescription and in minimally invasive intervention procedures. The confidentiality of ...