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Optimizando desviaciones moderadas ponderadas para interfaces cerebro ordenador
(Universidad de Málaga, 2021)
Contribución a congreso / Biltzarrerako ekarpena,
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 ...
d-XC integrals: on the generalization of the expanded form of the Choquet integral by restricted dissimilarity functions and their applications
(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 ...
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 ...
Co-occurrence of deep convolutional features for image search
(Elsevier, 2020)
info:eu-repo/semantics/article,
Image search can be tackled using deep features from pre-trained Convolutional Neural Networks (CNN). The feature map from the last convolutional layer of a CNN encodes descriptive information from which a discriminative ...
Type-(2, k) overlap indices
(IEEE, 2022)
Artículo / Artikulua,
Automatic image detection is one of the most im- portant areas in computing due to its potential application in numerous real-world scenarios. One important tool to deal with that is called overlap indices. They were ...
Directional monotonicity of multidimensional fusion functions with respect to admissible orders
(Elsevier, 2023)
Artículo / Artikulua,
The notion of directional monotonicity emerged as a relaxation of the monotonicity condition of aggregation functions. As the extension of aggregation functions to fuse more complex information than numeric data, directional ...
Reemplazo de la función de pooling de redes neuronales convolucionales por combinaciones lineales de funciones crecientes
(Universidad de Málaga, 2021)
Contribución a congreso / Biltzarrerako ekarpena,
Las redes convolucionales llevan a cabo un proceso automatico de extracción y fusión de características mediante el cual obtienen la información más relevante de una imagen dada. El proceso de submuestreo mediante el cual ...