Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Fumanal Idocin, Javier"'
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:
Fumanal-Idocin, Javier, Andreu-Perez, Javier, Cordón, Oscar, Hagras, Hani, Bustince, Humberto
Automatic art analysis employs different image processing techniques to classify and categorize works of art. When working with artistic images, we need to take into account further considerations compared to classical image processing. This is becau
Externí odkaz:
http://arxiv.org/abs/2308.15284
Autor:
Fumanal-Idocin, Javier, Cordón, Oscar, Minárová, María, Alonso-Betanzos, Amparo, Bustince, Humberto
Publikováno v:
Fumanal Idocin, J., Cordon, O., Min\'arov\'a, M., Alonso Betanzos, A., & Bustince, H. (2022). Combinations of Affinity Functions for Different Community Detection Algorithms in Social Networks
Social network analysis is a popular discipline among the social and behavioural sciences, in which the relationships between different social entities are modelled as a network. One of the most popular problems in social network analysis is finding
Externí odkaz:
http://arxiv.org/abs/2208.12874
Human sciences have traditionally relied on human reasoning and intelligence to infer knowledge from a wide range of sources, such as oral and written narrations, reports, and traditions. Here we develop an extension of classical social network analy
Externí odkaz:
http://arxiv.org/abs/2109.08023
Autor:
Papčo, Martin, Rodríguez-Martínez, Iosu, Fumanal-Idocin, Javier, Altalhi, Abdulrahman H., Bustince, Humberto
Publikováno v:
Information Fusion, Volume 71, 2021, Pages 1-10
In this paper we propose an extension of the notion of deviation-based aggregation function tailored to aggregate multidimensional data. Our objective is both to improve the results obtained by other methods that try to select the best aggregation fu
Externí odkaz:
http://arxiv.org/abs/2101.10115
Autor:
Fumanal-Idocin, Javier, Wang, Yu-Kai, Lin, Chin-Teng, Fernández, Javier, Sanz, Jose Antonio, Bustince, Humberto
Brain Computer Interface technologies are popular methods of communication between the human brain and external devices. One of the most popular approaches to BCI is Motor Imagery. In BCI applications, the ElectroEncephaloGraphy is a very popular mea
Externí odkaz:
http://arxiv.org/abs/2101.06968
Autor:
Fumanal-Idocin, Javier, Takáč, Zdenko, Sanz, Javier Fernández Jose Antonio, Goyena, Harkaitz, Lin, Ching-Teng, Wang, Yu-Kai, Bustince, Humberto
In this work we study the use of moderate deviation functions to measure similarity and dissimilarity among a set of given interval-valued data. To do so, we introduce the notion of interval-valued moderate deviation function and we study in particul
Externí odkaz:
http://arxiv.org/abs/2011.09831
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
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Akademický článek
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