Listar por autor "Horanská, Lubomíra"
Mostrando ítems 1-8 de 8
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Degree of totalness: how to choose the best admissible permutation for vector fuzzy integration
Ferrero Jaurrieta, Mikel; Horanská, Lubomíra; Lafuente López, Julio
; Mesiar, Radko; Pereira Dimuro, Graçaliz ; Takáč, Zdenko; Gómez Fernández, Marisol ; Fernández Fernández, Francisco Javier ; Bustince Sola, Humberto (Elsevier, 2023)
Artículo / Artikulua
The use of aggregation operators that require ordering of the data brings a problem when the structures to be aggregated are multi-valued, since there may be several admissible orders. To addressing this problem, the concept ... -
Enhancing LSTM for sequential image classification by modifying data aggregation
Takáč, Zdenko; Ferrero Jaurrieta, Mikel; Horanská, Lubomíra; Krivonakova, Nada; Pereira Dimuro, Graçaliz ; Bustince Sola, Humberto (IEEE, 2021)
Contribución a congreso / Biltzarrerako ekarpena 
Recurrent Neural Networks (RNN) model sequential information and are commonly used for the analysis of time series. The most usual operation to fuse information in RNNs is the sum. In this work, we use a RNN extended type, ... -
Fuzzy clustering to encode contextual information in artistic image classification
Fumanal Idocin, Javier ; Takáč, Zdenko; Horanská, Lubomíra; Bustince Sola, Humberto ; Cordón, Óscar (Springer, 2022)
Contribución a congreso / Biltzarrerako ekarpena
Automatic art analysis comprises of utilizing diverse processing methods to classify and categorize works of art. When working with this kind of pictures, we have to take under consideration different considerations compared ... -
A generalization of the Choquet integral defined in terms of the Mobius transform
Fernández Fernández, Francisco Javier ; Bustince Sola, Humberto ; Horanská, Lubomíra; Mesiar, Radko; Stupñanová, Andrea (IEEE, 2020)
Artículo / Artikulua
In this article, we propose a generalization of the Choquet integral, starting fromits definition in terms of the Mobius transform. We modify the product on R considered in the Lovasz extension form of the Choquet integral ... -
A generalization of the Sugeno integral to aggregate interval-valued data: an application to brain computer interface and social network analysis
Fumanal Idocin, Javier ; Takáč, Zdenko; Horanská, Lubomíra; Asmus, Tiago ; Pereira Dimuro, Graçaliz ; Vidaurre, Carmen; Fernández Fernández, Francisco Javier ; Bustince Sola, Humberto (Elsevier, 2022)
Artículo / Artikulua
Intervals are a popular way to represent the uncertainty related to data, in which we express the vagueness of each observation as the width of the interval. However, when using intervals for this purpose, we need to use ... -
Generalized decomposition integral
Horanská, Lubomíra; Bustince Sola, Humberto ; Fernández Fernández, Francisco Javier ; Mesiar, Radko (Elsevier, 2020)
Artículo / Artikulua
In this paper we propose two different generalizations of the decomposition integral introduced by Even and Lehrer. We modify the product operator merging a given capacity and the decomposition coefficients by some more ... -
Sugeno integral generalization applied to improve adaptive image binarization
Bardozzo, Francesco; Osa Hernández, Borja de la; Horanská, Lubomíra; Fumanal Idocin, Javier ; Priscoli, Mattia delli; Troiano, Luigi; Tagliaferri, Roberto; Fernández Fernández, Francisco Javier ; Bustince Sola, Humberto (Elsevier, 2021)
Artículo / Artikulua
Classic adaptive binarization methodologies threshold pixels intensity with respect to adjacent pixels exploiting integral images. In turn, integral images are generally computed optimally by using the summed-area-table ... -
VCI-LSTM: Vector choquet integral-based long short-term memory
Ferrero Jaurrieta, Mikel; Takáč, Zdenko; Fernández Fernández, Francisco Javier ; Horanská, Lubomíra; Pereira Dimuro, Graçaliz ; Montes, Susana; Díaz, Irene; Bustince Sola, Humberto (IEEE, 2022)
Artículo / Artikulua
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 ...
