• CFM-BD: a distributed rule induction algorithm for building compact fuzzy models in Big Data classification problems 

      Elkano Ilintxeta, Mikel Upna Orcid; Sanz Delgado, José Antonio Upna Orcid; Barrenechea Tartas, Edurne Upna Orcid; Bustince Sola, Humberto Upna Orcid; Galar Idoate, Mikel Upna Orcid (IEEE, 2020)   Artículo / Artikulua  OpenAccess
      Interpretability has always been a major concern for fuzzy rule-based classifiers. The usage of human-readable models allows them to explain the reasoning behind their predictions and decisions. However, when it comes to ...
    • Co-occurrence of deep convolutional features for image search 

      Forcén Carvalho, Juan Ignacio; Pagola Barrio, Miguel Upna Orcid; Barrenechea Tartas, Edurne Upna Orcid; Bustince Sola, Humberto Upna Orcid (Elsevier, 2020)   Artículo / Artikulua  OpenAccess
      Image search can be tackled using deep features from pre-trained Convolutional Neural Networks (CNN). The feature map from the last convolutional layer of a CNN encodes descriptive information from which a discriminative ...
    • A historical account of types of fuzzy sets and their relationships 

      Bustince Sola, Humberto Upna Orcid; Barrenechea Tartas, Edurne Upna Orcid; Pagola Barrio, Miguel Upna Orcid; Fernández Fernández, Francisco Javier Upna Orcid; Xu, Zeshui; Bedregal, Benjamin Upna Orcid; Montero, Javier; Hagras, Hani; Herrera, Francisco; Baets, Bernard de (IEEE, 2016)   Artículo / Artikulua  OpenAccess
      In this work we review the definition and basic properties of the different types of fuzzy sets that have appeared up to now in the literature. We also analyze the relationships between them and enumerate some of the ...
    • Moderate deviation and restricted equivalence functions for measuring similarity between data 

      Altalhi, A. H.; Forcén Carvalho, Juan Ignacio; Pagola Barrio, Miguel Upna Orcid; Barrenechea Tartas, Edurne Upna Orcid; Bustince Sola, Humberto Upna Orcid; Takáč, Zdenko (Elsevier, 2019)   Artículo / Artikulua  OpenAccess
      In this work we study the relation between moderate deviation functions, restricted dissimilarity functions and restricted equivalence functions. We use moderate deviation functions in order to measure the similarity or ...
    • Ordered directional monotonicity in the construction of edge detectors 

      Marco Detchart, Cedric Upna Orcid; Bustince Sola, Humberto Upna Orcid; Fernández Fernández, Francisco Javier Upna Orcid; Mesiar, Radko; Lafuente López, Julio Upna Orcid; Barrenechea Tartas, Edurne Upna Orcid; Pintor Borobia, Jesús María Upna Orcid (Elsevier, 2021)   Artículo / Artikulua  OpenAccess
      In this paper we provide a specific construction method of ordered directionally monotone functions. We show that the functions obtained with this construction method can be used to build edge detectors for grayscale images. ...
    • Unbalanced interval-valued OWA operators 

      Miguel Turullols, Laura de Upna Orcid; Bustince Sola, Humberto Upna Orcid; Barrenechea Tartas, Edurne Upna Orcid; Pagola Barrio, Miguel Upna Orcid; Fernández Fernández, Francisco Javier Upna Orcid (Springer Berlin Heidelberg, 2016)   Artículo / Artikulua  OpenAccess
      In this work, we introduce a new class of functions defned on the interval-valued setting. These functions extend classical OWA operators but allow for diferent weighting vectors to handle the lower bounds and the ...

      El Repositorio ha recibido la ayuda de la Fundación Española para la Ciencia y la Tecnología para la realización de actividades en el ámbito del fomento de la investigación científica de excelencia, en la Línea 2. Repositorios institucionales (convocatoria 2020-2021).
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