Listar Artículos de revista - Aldizkari artikuluak por autor UPNA "Fumanal Idocin, Javier"
Mostrando ítems 1-10 de 10
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Community detection and social network analysis based on the Italian wars of the 15th century
Fumanal Idocin, Javier
; Alonso Betanzos, Amparo; Cordón, O.; Bustince Sola, Humberto ; Minárová, M. (Elsevier, 2020)
Artículo / Artikulua 
In this contribution we study social network modelling by using human interaction as a basis. To do so, we propose a new set of functions, affinities, designed to capture the nature of the local interactions among each ... -
d-XC integrals: on the generalization of the expanded form of the Choquet integral by restricted dissimilarity functions and their applications
Wieczynski, Jonata; Fumanal Idocin, Javier ; Lucca, Giancarlo; Borges, Eduardo N.; Asmus, Tiago ; Emmendorfer, Leonardo R.; Bustince Sola, Humberto ; Pereira Dimuro, Graçaliz (IEEE, 2022)
Artículo / Artikulua
Restricted dissimilarity functions (RDFs) were introduced to overcome problems resulting from the adoption of the standard difference. Based on those RDFs, Bustince et al. introduced a generalization of the Choquet integral ... -
A fusion method for multi-valued data
Papčo, Martin; Rodríguez Martínez, Iosu ; Fumanal Idocin, Javier ; Altalhi, A. H.; Bustince Sola, Humberto (Elsevier, 2021)
Artículo / Artikulua
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 ... -
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 ... -
Interval-valued aggregation functions based on moderate deviations applied to motor-imagery-based brain computer interface
Fumanal Idocin, Javier ; Takáč, Zdenko; Fernández Fernández, Francisco Javier ; Sanz Delgado, José Antonio; Goyena Baroja, Harkaitz; Lin, Chin-Teng; Wang, Yu-Kai; Bustince Sola, Humberto (IEEE, 2021)
Artículo / Artikulua
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 ... -
The Krypteia ensemble: designing classifier ensembles using an ancient Spartan military tradition
Fumanal Idocin, Javier ; Cordón, Óscar; Bustince Sola, Humberto (Elsevier, 2023)
Artículo / Artikulua
In this work we propose a new algorithm to train and optimize an ensemble of classifiers. We call this algorithm the Krypteia ensemble, based on an ancient Spartan tradition designed to convert their most promising individuals ... -
Motor-imagery-based brain-computer interface using signal derivation and aggregation functions
Fumanal Idocin, Javier ; Wang, Yu-Kai; Lin, Chin-Teng; Fernández Fernández, Francisco Javier ; Sanz Delgado, José Antonio ; Bustince Sola, Humberto (IEEE, 2021)
Artículo / Artikulua
Brain Computer Interface (BCI) technologies are popular methods of communication between the human brain and external devices. One of the most popular approaches to BCI is Motor Imagery (MI). In BCI applications, the ... -
Quantifying external information in social network analysis: an application to comparative mythology
Fumanal Idocin, Javier ; Cordón García, Óscar; Pereira Dimuro, Graçaliz ; Roldán López de Hierro, Antonio Francisco; Bustince Sola, Humberto (IEEE, 2023)
Artículo / Artikulua
Social network analysis is a popular tool to understand the relationships between interacting agents by studying the structural properties of their connections. However, this kind of analysis can miss some of the domain-specific ... -
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 ... -
Supervised penalty-based aggregation applied to motor-imagery based brain-computer-interface
Fumanal Idocin, Javier ; Vidaurre, Carmen ; Fernández Fernández, Francisco Javier ; Gómez Fernández, Marisol ; Andreu-Perez, J.; Prasad, M.; Bustince Sola, Humberto (Elsevier, 2024)
Artículo / Artikulua
In this paper we propose a new version of penalty-based aggregation functions, the Multi Cost Aggregation choosing functions (MCAs), in which the function to minimize is constructed using a convex combination of two relaxed ...
