Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Horanská, Ľubomíra"'
Autor:
Fumanal-Idocin, Javier, Takac, Zdenko, Horanska, Lubomira, Asmus, Thiago da Cruz, Vidaurre, Carmen, Dimuro, Graçaliz, Fernandez, Javier, Bustince, Humberto
Publikováno v:
Fuzzy Sets and Systems 451 (2022): 320-341
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 the appropriate set of mathem
Externí odkaz:
http://arxiv.org/abs/2312.17012
Autor:
Bardozzo, Francesco, De La Osa, Borja, Horanska, Lubomira, Fumanal-Idocin, Javier, Priscoli, Mattia delli, Troiano, Luigi, Tagliaferri, Roberto, Fernandez, Javier, Bustince, Humberto
Adaptive binarization methodologies threshold the intensity of the pixels with respect to adjacent pixels exploiting the integral images. In turn, the integral images are generally computed optimally using the summed-area-table algorithm (SAT). This
Externí odkaz:
http://arxiv.org/abs/2003.08755
Autor:
Ferrero-Jaurrieta, Mikel, Horanská, Ľubomíra, Lafuente, Julio, Mesiar, Radko, Dimuro, Graçaliz Pereira, Takáč, Zdenko, Gómez, Marisol, Fernández, Javier, Bustince, Humberto
Publikováno v:
In Fuzzy Sets and Systems 30 August 2023 466
Autor:
Horanská, Ľubomíra, Takáč, Zdenko
Publikováno v:
In Fuzzy Sets and Systems 30 June 2023 462
Autor:
Bardozzo, Francesco, De La Osa, Borja, Horanská, Ľubomíra, Fumanal-Idocin, Javier, Priscoli, Mattia delli, Troiano, Luigi, Tagliaferri, Roberto, Fernandez, Javier, Bustince, Humberto
Publikováno v:
In Information Fusion April 2021 68:37-45
Autor:
Horanská, Ľubomíra, Sarkoci, Peter
Publikováno v:
In Fuzzy Sets and Systems 1 January 2020 378:157-164
Publikováno v:
In Information Sciences July 2018 451-452:83-99
Akademický článek
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Autor:
Horanská, Ľubomíra, Kolesárová, Anna
Publikováno v:
In Fuzzy Sets and Systems 1 November 2017 326:89-105
Autor:
Horanská, Ľubomíra
Publikováno v:
Information Processing and Management of Uncertainty in Knowledge-Based Systems
We present a method of generalization of the Lovász extension formula combining two known approaches - the first of them based on the replacement of the product operator by some suitable binary function F and the second one based on the replacement