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Artículo
Support vector machines for interval discriminant analysis
(ScienceDirect, 2008-03)
The use of data represented by intervals can be caused by imprecision in the input information, incompleteness in patterns, discretization procedures, prior knowledge insertion or speed-up learning. All the existing support ...
Artículo
Generative adversarial networks for anonymized healthcare of lung cancer patients
(MDPI, 2021)
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 ...
Artículo
Artículo
Multi-Classification by Using Tri-Class SVM
(SpringerLink, 2006-02)
The standard form for dealing with multi-class classification problems when biclassifiers are used is to consider a two-phase (decomposition, reconstruction) training scheme. The most popular decomposition procedures are ...
Artículo
Statistical validation of synthetic data for lung cancer patients generated by using generative adversarial networks
(MDPI, 2022)
The 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 ...
Artículo
Sobre núcleos, distancias y similitudes entre intervalos
(Sociedad Iberoamericana de Inteligencia Artificial, 2004)
Existe un buen número de aplicaciones en las que la información a codificar viene expresada en forma de un intervalo de valores. Esto sucede, en especial, cuando se intentan procesar los datos por predicción a un cierto ...