Listar Comunicaciones y ponencias de congresos DEIM - EIMS Biltzarretako komunikazioak eta txostenak por autor UPNA "Bustince Sola, Humberto"
Mostrando ítems 1-20 de 33
-
Aggregation functions based on the Choquet integral applied to image resizing
Bueno, Jéssica C. S.; Dias, Camila A.; Pereira Dimuro, Graçaliz
; Santos, Helida; Bustince Sola, Humberto (Atlantis Press, 2019)
Contribución a congreso / Biltzarrerako ekarpena 
The rising volume of data and its high complexity has brought the need of developing increasingly efficient knowledge extraction techniques, which demands efficiency both in computational cost and in accuracy. Most of ... -
Análisis de redes sociales basado en las conquistas de César Borgia
Fumanal Idocin, Javier ; Cordón, Óscar; Alonso Betanzos, Amparo; Bustince Sola, Humberto ; Fernández Fernández, Francisco Javier (Universidad de Málaga, 2021)
Contribución a congreso / Biltzarrerako ekarpena
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 ... -
Application and comparison of CC-integrals in business group decision making
Wieczynski, Jonata; Lucca, Giancarlo; Borges, Eduardo N.; Pereira Dimuro, Graçaliz ; Lourenzutti, Rodolfo; Bustince Sola, Humberto (Springer, 2022)
Contribución a congreso / Biltzarrerako ekarpena
Optimized decisions is required by businesses (analysts) if they want to stay open. Even thought some of these are from the knowhow of the managers/executives, most of them can be described mathematically and solved ... -
CC-separation measure applied in business group decision making
Wieczynski, Jonata; Lucca, Giancarlo; Borges, Eduardo N.; Pereira Dimuro, Graçaliz ; Lourenzutti, Rodolfo; Bustince Sola, Humberto (SciTePress, 2021)
Contribución a congreso / Biltzarrerako ekarpena
In business, one of the most important management functions is decision making The Group Modular Choquet Random TOPSIS (GMC-RTOPSIS) is a Multi-Criteria Decision Making (MCDM) method that can work with multiple heterogeneous ... -
Clusterig cosmológico: un enfoque del clustering gravitacional clásico inspirado en la estructura y dinámica del cosmos a gran escala
Castillo López, Aitor; Fumanal Idocin, Javier ; Fernández Fernández, Francisco Javier ; Bustince Sola, Humberto (Universidad de Málaga, 2021)
Contribución a congreso / Biltzarrerako ekarpena
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
Fumanal Idocin, Javier ; Cordón, Óscar; Minárová, María; Alonso Betanzos, Amparo; Bustince Sola, Humberto (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 ... -
Directions of directional, ordered directional and strengthened ordered directional increasingness of linear and ordered linear fusion operators
Sesma Sara, Mikel ; Marco Detchart, Cedric ; Lafuente López, Julio ; Roldán López de Hierro, Antonio Francisco; Mesiar, Radko; Bustince Sola, Humberto (IEEE, 2019)
Contribución a congreso / Biltzarrerako ekarpena
In this work we discuss the forms of monotonicity that have been recently introduced to relax the monotonicity condition in the definition of aggregation functions. We focus on directional, ordered directional and strengthened ... -
Dissimilarity based choquet integrals
Bustince Sola, Humberto ; Mesiar, Radko; Fernández Fernández, Francisco Javier ; Galar Idoate, Mikel ; Paternain Dallo, Daniel (Springer, 2020)
Contribución a congreso / Biltzarrerako ekarpena
In this paper, in order to generalize the Choquet integral, we replace the difference between inputs in its definition by a restricted dissimilarity function and refer to the obtained function as d-Choquet integral. For ... -
Distance transformations based on ordered weighted averaging operators
López Molina, Carlos ; Miguel Turullols, Laura de ; Iglesias Rey, Sara ; Bustince Sola, Humberto ; Baets, Bernard de (University of Hawaii Press, 2021)
Contribución a congreso / Biltzarrerako ekarpena
Binary image comparison has been a study subject for a long time, often rendering in context-specific solutions that depend upon the type of visual contents in the binary images. Distance transformations have been a recurrent ... -
An empirical study on supervised and unsupervised fuzzy measure construction methods in highly imbalanced classification
Uriz Martín, Mikel Xabier ; Paternain Dallo, Daniel ; Bustince Sola, Humberto ; Galar Idoate, Mikel (IEEE, 2020)
Contribución a congreso / Biltzarrerako ekarpena
The design of an ensemble of classifiers involves the definition of an aggregation mechanism that produces a single response obtained from the information provided by the classifiers. A specific aggregation methodology ... -
Enhancing LSTM for sequential image classification by modifying data aggregation
Takáč, Zdenko; Ferrero Jaurrieta, Mikel; Horanská, Lubomíra; Krivonakova, Nada; Pereira Dimuro, Graçaliz ; Bustince Sola, Humberto (IEEE, 2021)
Contribución a congreso / Biltzarrerako ekarpena
Recurrent Neural Networks (RNN) model sequential information and are commonly used for the analysis of time series. The most usual operation to fuse information in RNNs is the sum. In this work, we use a RNN extended type, ... -
Extensión multidimensional de la integral de Choquet discreta y su aplicación en redes neuronales recurrentes
Ferrero Jaurrieta, Mikel; Rodríguez Martínez, Iosu ; Pereira Dimuro, Graçaliz ; Fernández Fernández, Francisco Javier ; Bustince Sola, Humberto (Universidad de Málaga, 2021)
Contribución a congreso / Biltzarrerako ekarpena
En este trabajo presentamos una definición de la integral de Choquet discreta n-dimensional, para fusionar datos vectoriales. Como aplicación, utilizamos estas nuevas integrales de Choquet discretas multidimensionales en ... -
Fuzzy clustering to encode contextual information in artistic image classification
Fumanal Idocin, Javier ; Takáč, Zdenko; Horanská, Lubomíra; Bustince Sola, Humberto ; Cordón, Óscar (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 ... -
Fuzzy integrals for edge detection
Marco Detchart, Cedric ; Lucca, Giancarlo; Pereira Dimuro, Graçaliz ; Asmus, Tiago ; López Molina, Carlos ; Borges, Eduardo N.; Rincon, J. A.; Julian, Vicente; Bustince Sola, Humberto (Springer, 2023)
Contribución a congreso / Biltzarrerako ekarpena
In this work, we compare different families of fuzzy integrals in the context of feature aggregation for edge detection. We analyze the behaviour of the Sugeno and Choquet integral and some of its generalizations. In ... -
Fuzzy sets complement-based gated recurrent unit
Ferrero Jaurrieta, Mikel; Pereira Dimuro, Graçaliz ; Takáč, Zdenko; Santiago, Regivan; Fernández Fernández, Francisco Javier ; Bustince Sola, Humberto (CEUR Workshop Proceedings (CEUR-WS.org), 2021)
Contribución a congreso / Biltzarrerako ekarpena
Gated Recurrent Units (GRU) are neural network gated architectures that simplify other ones (suchas, LSTM) by joining gates mainly. For this, instead of using two gates, if𝑥is the first gate, standardoperation1−𝑥is used ... -
Gated local adaptive binarization using supervised learning
Fumanal Idocin, Javier ; Uriarte Barragán, Juan; Osa Hernández, Borja de la ; Bardozzo, Francesco; Fernández Fernández, Francisco Javier ; Bustince Sola, Humberto (CEUR Workshop Proceedings (CEUR-WS.org), 2021)
Contribución a congreso / Biltzarrerako ekarpena
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. ... -
General admissibly ordered interval-valued overlap functions
Asmus, Tiago ; Pereira Dimuro, Graçaliz ; Sanz Delgado, José Antonio ; Wieczynski, Jonata; Lucca, Giancarlo; Bustince Sola, Humberto (CEUR Workshop Proceedings (CEUR-WS.org), 2021)
Contribución a congreso / Biltzarrerako ekarpena
Overlap functions are a class of aggregation functions that measure the verlapping degree between two values. They have been successfully applied in several problems in which associativity is not required, such as ... -
General grouping functions
Santos, Helida; Pereira Dimuro, Graçaliz ; Asmus, Tiago ; Sanz Delgado, José Antonio ; Fernández Fernández, Francisco Javier ; Bustince Sola, Humberto (Springer, 2020)
Contribución a congreso / Biltzarrerako ekarpena
Some aggregation functions that are not necessarily associative, namely overlap and grouping functions, have called the attention of many researchers in the recent past. This is probably due to the fact that they are a ... -
Image feature extraction using OD-monotone functions
Marco Detchart, Cedric ; López Molina, Carlos ; Fernández Fernández, Francisco Javier ; Pagola Barrio, Miguel ; Bustince Sola, Humberto (Springer, 2018)
Contribución a congreso / Biltzarrerako ekarpena
Edge detection is a basic technique used as a preliminary step for, e.g., object extraction and recognition in image processing. Many of the methods for edge detection can be fit in the breakdown structure by Bezdek, ... -
Local properties of strengthened ordered directional and other forms of monotonicity
Sesma Sara, Mikel ; Miguel Turullols, Laura de ; Mesiar, Radko; Fernández Fernández, Francisco Javier ; Bustince Sola, Humberto (Springer, 2019)
Contribución a congreso / Biltzarrerako ekarpena
In this study we discuss some of the recent generalized forms of monotonicity, introduced in the attempt of relaxing the monotonicity condition of aggregation functions. Specifically, we deal with weak, directional, ordered ...
