120 citations · 455 across the 23 of their papers we have counts for
6 papers · 1 filter
Interval-valued aggregation functions based on moderate deviations applied to Motor-Imagery-Based Brain Computer Interface
Javier Fumanal-Idocin, Zdenko Takáč, Javier Fernández Jose Antonio Sanz +4
In this work we study the use of moderate deviation functions to measure similarity and dissimilarity among a set of given interval-valued data. To do so, we introduce the notion o…
Community detection and Social Network analysis based on the Italian wars of the 15th century
J. Fumanal-Idocin, A. Alonso-Betanzos, O. Cordón +2
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 natur…
Learning ordered pooling weights in image classification
J. I. Forcen, Miguel Pagola, Edurne Barrenechea +1
Spatial pooling is an important step in computer vision systems like Convolutional Neural Networks or the Bag-of-Words method. The spatial pooling purpose is to combine neighbourin…
Adaptive binarization based on fuzzy integrals
Francesco Bardozzo, Borja De La Osa, Lubomira Horanska +6
Adaptive binarization methodologies threshold the intensity of the pixels with respect to adjacent pixels exploiting the integral images. In turn, the integral images are generally…
Co-occurrence of deep convolutional features for image search
J. I. Forcen, Miguel Pagola, Edurne Barrenechea +1
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…
Admissible orders on fuzzy numbers
Nicolás Zumelzu, Benjamin Bedregal, Edmundo Mansilla +2
From the more than two hundred partial orders for fuzzy numbers proposed in the literature, only a few are total. In this paper, we introduce the notion of admissible order for fuz…