Now showing items 1-10 of 10

    • d-Choquet integrals: Choquet integrals based on dissimilarities 

      Bustince Sola, Humberto Upna Orcid; Mesiar, Radko; Fernández Fernández, Francisco Javier Upna Orcid; Galar Idoate, Mikel Upna Orcid; Paternain Dallo, Daniel Upna Orcid; Altalhi, A. H.; Pereira Dimuro, Graçaliz Upna Orcid; Bedregal, Benjamin Upna Orcid; Takáč, Zdenko (Elsevier, 2020)   Artículo / Artikulua  OpenAccess
      The paper introduces a new class of functions from [0,1]n to [0,n] called d-Choquet integrals. These functions are a generalization of the 'standard' Choquet integral obtained by replacing the difference in the definition ...
    • Discrete IV dG-Choquet integrals with respect to admissible orders 

      Takáč, Zdenko; Uriz Martín, Mikel Xabier Upna Orcid; Galar Idoate, Mikel Upna Orcid; Paternain Dallo, Daniel Upna Orcid; Bustince Sola, Humberto Upna Orcid (Elsevier, 2021)   Artículo / Artikulua  OpenAccess
      In this work, we introduce the notion of dG-Choquet integral, which generalizes the discrete Choquet integral replacing, in the first place, the difference between inputs represented by closed subintervals of the unit ...
    • Extension of restricted equivalence functions and similarity measures for type-2 fuzzy sets 

      Miguel Turullols, Laura de Upna Orcid; Santiago, Regivan; Wagner, Christian; Garibaldi, Jonathan M.; Takáč, Zdenko; Roldán López de Hierro, Antonio Francisco; Bustince Sola, Humberto Upna Orcid (IEEE, 2021)   Artículo / Artikulua  OpenAccess
      In this work we generalize the notion of restricted equivalence function for type-2 fuzzy sets, leading to the notion of extended restricted equivalence functions. We also study how under suitable conditions, these new ...
    • From restricted equivalence functions on Ln to similarity measures between fuzzy multisets 

      Ferrero Jaurrieta, Mikel; Takáč, Zdenko; Rodríguez Martínez, Iosu Upna Orcid; Marco Detchart, Cedric; Bernardini, Ángela; Fernández Fernández, Francisco Javier Upna Orcid; López Molina, Carlos Upna Orcid; Bustince Sola, Humberto Upna Orcid (IEEE, 2023)   Artículo / Artikulua  OpenAccess
      Restricted equivalence functions are well-known functions to compare two numbers in the interval between 0 and 1. Despite the numerous works studying the properties of restricted equivalence functions and their multiple ...
    • Generalizing max pooling via (a, b)-grouping functions for convolutional neural networks 

      Rodríguez Martínez, Iosu Upna Orcid; Asmus, Tiago Upna Orcid; Pereira Dimuro, Graçaliz Upna Orcid; Herrera, Francisco; Takáč, Zdenko; Bustince Sola, Humberto Upna Orcid (Elsevier, 2023)   Artículo / Artikulua  OpenAccess
      Due to their high adaptability to varied settings and effective optimization algorithm, Convolutional Neural Networks (CNNs) have set the state-of-the-art on image processing jobs for the previous decade. CNNs work in a ...
    • Interval-valued aggregation functions based on moderate deviations applied to motor-imagery-based brain computer interface 

      Fumanal Idocin, Javier Upna Orcid; Takáč, Zdenko; Fernández Fernández, Francisco Javier Upna Orcid; Sanz Delgado, José Antonio; Goyena Baroja, Harkaitz; Lin, Chin-Teng; Wang, Yu-Kai; Bustince Sola, Humberto Upna Orcid (IEEE, 2021)   Artículo / Artikulua  OpenAccess
      In this work we develop moderate deviation functions to measure similarity and dissimilarity among a set of given interval-valued data to construct interval-valued aggregation functions, and we apply these functions in two ...
    • 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 ...
    • A study on the suitability of different pooling operators for convolutional neural networks in the prediction of COVID-19 through chest x-ray image analysis 

      Rodríguez Martínez, Iosu Upna Orcid; Ursúa Medrano, Pablo; Fernández Fernández, Francisco Javier Upna Orcid; Takáč, Zdenko; Bustince Sola, Humberto Upna Orcid (Elsevier, 2024)   Artículo / Artikulua  OpenAccess
      The 2019 coronavirus disease outbreak, caused by the severe acute respiratory syndrome type-2 virus (SARS-CoV-2), was declared a pandemic in March 2020. Since its emergence to the present day, this disease has brought ...
    • Type-(2, k) overlap indices 

      Roldán López de Hierro, Antonio Francisco; Roldán, Concepción; Tíscar, Miguel Ángel; Takáč, Zdenko; Santiago, Regivan; Bustince Sola, Humberto Upna Orcid; Fernández Fernández, Francisco Javier Upna Orcid; Pereira Dimuro, Graçaliz Upna Orcid (IEEE, 2022)   Artículo / Artikulua  OpenAccess
      Automatic image detection is one of the most im- portant areas in computing due to its potential application in numerous real-world scenarios. One important tool to deal with that is called overlap indices. They were ...
    • VCI-LSTM: Vector choquet integral-based long short-term memory 

      Ferrero Jaurrieta, Mikel; Takáč, Zdenko; Fernández Fernández, Francisco Javier Upna Orcid; Horanská, Lubomíra; Pereira Dimuro, Graçaliz Upna Orcid; Montes, Susana; Díaz, Irene; Bustince Sola, Humberto Upna Orcid (IEEE, 2022)   Artículo / Artikulua  OpenAccess
      Choquet integral is a widely used aggregation operator on one-dimensional and interval-valued information, since it is able to take into account the possible interaction among data. However, there are many cases where 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).
      Logo MinisterioLogo Fecyt