Browsing by Author "Sáez, José Antonio"
Now showing items 1-2 of 2
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Addressing the overlapping data problem in classification using the one-vs-one decomposition strategy
Sáez, José Antonio; Galar Idoate, Mikel
; Krawczyk, Bartosz (IEEE, 2019)
Artículo / Artikulua 
Learning good-performing classifiers from data with easily separable classes is not usually a difficult task for most of the algorithms. However, problems affecting classifier performance may arise when samples from different ... -
INFFC: an iterative class noise filter based on the fusion of classifiers with noise sensitivity control
Sáez, José Antonio; Galar Idoate, Mikel ; Luengo, Julián; Herrera, Francisco (Elsevier, 2015)
Artículo / Artikulua
In classification, noise may deteriorate the system performance and increase the complexity of the models built. In order to mitigate its consequences, several approaches have been proposed in the literature. Among them, ...
