Listar Colecciones de Investigación y Producción Científica - Ikerketa eta ekoizpen zientifikoko Bildumak por autor UPNA "Fumanal Idocin, Javier"
Mostrando ítems 1-17 de 17
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Análisis de redes sociales basado en las conquistas de César Borgia
En este trabajo presentamos el modelado de redes sociales y detección de comunidades utilizando como base un evento histórico real, las conquistas de César Borgia en el siglo XV. Para ello, proponemos un nuevo conjunto ... -
Clusterig cosmológico: un enfoque del clustering gravitacional clásico inspirado en la estructura y dinámica del cosmos a gran escala
En este trabajo proponemos un nuevo enfoque del algoritmo de clustering gravitacional basado en lo que Einstein considero su 'mayor error': la constante cosmológica. De manera similar al algoritmo de clustering gravitacional, ... -
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 ... -
Community detection and social network analysis based on the Italian wars of the 15th century
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
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
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 ... -
Fuzzy clustering to encode contextual information in artistic image classification
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 ... -
Gated local adaptive binarization using supervised learning
(CEUR Workshop Proceedings (CEUR-WS.org), 2021) Contribución a congreso / Biltzarrerako ekarpenaImage thresholding is one of the most popular problems in image processing. However, changes inlightning and contrast in an image can cause trouble for the existing algorithms that use a global threshold for all the image. ... -
A generalization of the Sugeno integral to aggregate interval-valued data: an application to brain computer interface and social network analysis
(Elsevier, 2022) Artículo / ArtikuluaIntervals 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
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
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 ... -
Mejoras a la capacidad de generalización de la inteligencia artificial
La fusión de información es un aspecto crucial del análisis moderno de datos y la toma de decisiones. Implica la integración de múltiples fuentes de información para obtener una com prensión más completa y precisa de un ... -
Motor-imagery-based brain-computer interface using signal derivation and aggregation functions
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 ... -
Optimizando desviaciones moderadas ponderadas para interfaces cerebro ordenador
Las interfaces cerebro-ordenador (BCI) basadas en el análisis de Electroencefalografía (EEG) están compuestas por varios elementos para procesar y clasificar las señales de entrada del cerebro. Una fase relevante de estos ... -
Quantifying external information in social network analysis: an application to comparative mythology
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
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
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 ...