Browsing by Author "Domínguez Catena, Iris"
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Capas basadas en operadores OWA para Redes Neuronales Convolucionales
En este trabajo exploramos una nueva forma de ampliar la capacidad de las Redes Neuronales Convolucionales. En concreto, planteamos una nueva t´ecnica para generar informaci´on adicional a partir de la salida de un bloque ... -
Learning channel-wise ordered aggregations in deep neural networks
Domínguez Catena, Iris; Paternain Dallo, Daniel; Galar Idoate, Mikel
(Springer, 2021) Contribución a congreso / Biltzarrerako ekarpena
One of the most common techniques for approaching image classification problems are Deep Neural Networks. These systems are capable of classifying images with different levels of detail at different levels of detail, with ... -
Unsupervised fuzzy measure learning for classifier ensembles from coalitions performance
Uriz Martín, Mikel Xabier; Paternain Dallo, Daniel
; Domínguez Catena, Iris; Bustince Sola, Humberto
; Galar Idoate, Mikel
(IEEE, 2020) Artículo / Artikulua
In Machine Learning an ensemble refers to the combination of several classifiers with the objective of improving the performance of every one of its counterparts. To design an ensemble two main aspects must be considered: ...