no code implementations • 29 Aug 2023 • Javier Fumanal-Idocin, Javier Andreu-Perez, Oscar Cordón, Hani Hagras, Humberto Bustince
We also show that some of the features used by these models can be more clearly correlated to visual traits in the original image than others.
1 code implementation • 13 Sep 2021 • Javier Fumanal-Idocin, Oscar Cordón, Graçaliz Dimuro, María Minárová, Humberto Bustince
We use these concept of meaning and semantic affinity to analyze and compare the gods and heroes from three different classical mythologies: Greek, Celtic and Nordic.
no code implementations • 8 Jun 2021 • Tiago da Cruz Asmus, Graçaliz Pereira Dimuro, Benjamín Bedregal, José Antonio Sanz, Radko Mesiar, Humberto Bustince
Overlap functions are a class of aggregation functions that measure the overlapping degree between two values.
1 code implementation • 22 Apr 2021 • Cedric Marco-Detchart, Giancarlo Lucca, Carlos Lopez-Molina, Laura De Miguel, Graçaliz Pereira Dimuro, Humberto Bustince
In this work we elaborate on the fusion of early vision primitives using generalizations of the Choquet integral, and novel aggregation operators that have been extensively studied in recent years.
no code implementations • 25 Jan 2021 • Martin Papčo, Iosu Rodríguez-Martínez, Javier Fumanal-Idocin, Abdulrahman H. Altalhi, Humberto Bustince
In this paper we propose an extension of the notion of deviation-based aggregation function tailored to aggregate multidimensional data.
1 code implementation • 18 Jan 2021 • Javier Fumanal-Idocin, Yu-Kai Wang, Chin-Teng Lin, Javier Fernández, Jose Antonio Sanz, Humberto Bustince
In BCI applications, the ElectroEncephaloGraphy is a very popular measurement for brain dynamics because of its non-invasive nature.
Ranked #1 on EEG 4 classes on BCI Competition IV 2a
1 code implementation • 19 Nov 2020 • Javier Fumanal-Idocin, Zdenko Takáč, Javier Fernández Jose Antonio Sanz, Harkaitz Goyena, Ching-Teng Lin, Yu-Kai Wang, Humberto Bustince
In this work we study the use of moderate deviation functions to measure similarity and dissimilarity among a set of given interval-valued data.
Ranked #3 on EEG Left/Right hand on BCI Competition IV 2a
1 code implementation • 2 Jul 2020 • J. I. Forcen, Miguel Pagola, Edurne Barrenechea, Humberto Bustince
We present a method to learn the weights of the OWA aggregation operator in a Bag-of-Words framework and in Convolutional Neural Networks, and provide an extensive evaluation showing that OWA based pooling outperforms classical aggregation operators.
1 code implementation • 30 Mar 2020 • J. I. Forcen, Miguel Pagola, Edurne Barrenechea, Humberto Bustince
The feature map from the last convolutional layer of a CNN encodes descriptive information from which a discriminative global descriptor can be obtained.
no code implementations • 4 Mar 2020 • Francesco Bardozzo, Borja De La Osa, Lubomira Horanska, Javier Fumanal-Idocin, Mattia delli Priscoli, Luigi Troiano, Roberto Tagliaferri, Javier Fernandez, Humberto Bustince
This document presents a new adaptive binarization technique based on fuzzy integral images through an efficient design of a modified SAT for fuzzy integrals.
no code implementations • 8 Mar 2019 • Mikel Elkano, Humberto Bustince, Mikel Galar
Our findings show that, although slightly inferior, Big Data classifiers are gradually catching up with state-of-the-art classifiers for Small data, suggesting that a unified learning algorithm for Big and Small Data might be possible.
no code implementations • 28 Feb 2019 • Mikel Elkano, Mikel Uriz, Humberto Bustince, Mikel Galar
We present a new distributed fuzzy partitioning method to reduce the complexity of multi-way fuzzy decision trees in Big Data classification problems.
1 code implementation • 25 Feb 2019 • Mikel Elkano, Jose Sanz, Edurne Barrenechea, Humberto Bustince, Mikel Galar
However, when it comes to Big Data classification problems, fuzzy rule-based classifiers have not been able to maintain the good trade-off between accuracy and interpretability that has characterized these techniques in non-Big Data environments.
no code implementations • 20 Oct 2016 • Benjamin Bedregal, Humberto Bustince, Eduardo Palmeira, Graçaliz Pereira Dimuro, Javier Fernandez
In this work we extend to the interval-valued setting the notion of an overlap functions and we discuss a method which makes use of interval-valued overlap functions for constructing OWA operators with interval-valued weights.
no code implementations • 24 Aug 2015 • Gilberto P. Silva Junior, Alejandro C. Frery, Sandra Sandri, Humberto Bustince, Edurne Barrenechea, Cédric Marco-Detchart
We compare the modified and unmodified versions of the gravitational edge detection technique with the well-established one proposed by Canny, as well as with a recent multiscale fuzzy-based technique proposed by Lopez-Molina et Alejandro We also address the issues of aggregation of gray level images before and after edge detection and of filtering.