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Combinations of affinity functions for different community detection algorithms in social networks
(University of Hawaii Press, 2021)
Contribución a congreso / Biltzarrerako ekarpena,
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 ...
Fuzzy clustering to encode contextual information in artistic image classification
(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 ...
Quantifying external information in social network analysis: an application to comparative mythology
(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 ...
The Krypteia ensemble: designing classifier ensembles using an ancient Spartan military tradition
(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 ...
Gated local adaptive binarization using supervised learning
(CEUR Workshop Proceedings (CEUR-WS.org), 2021)
info:eu-repo/semantics/conferenceObject,
Image 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 / 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 ...
Sugeno integral generalization applied to improve adaptive image binarization
(Elsevier, 2021)
info:eu-repo/semantics/article,
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 ...
A fusion method for multi-valued data
(Elsevier, 2021)
info:eu-repo/semantics/article,
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 ...
Supervised penalty-based aggregation applied to motor-imagery based brain-computer-interface
(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 ...
Community detection and social network analysis based on the Italian wars of the 15th century
(Elsevier, 2020)
info:eu-repo/semantics/article,
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 ...