Listar Comunicaciones y ponencias de congresos - Biltzarrak eta Argitalpenak por tema "Choquet integral"
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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 ... -
Application of the Sugeno integral in fuzzy rule-based classification
Wieczynski, Jonata; Lucca, Giancarlo; Borges, Eduardo N.; Pereira Dimuro, Graçaliz (Springer, 2022)
Contribución a congreso / Biltzarrerako ekarpena
Fuzzy Rule-Based Classification System (FRBCS) is a well known technique to deal with classification problems. Recent studies have considered the usage of the Choquet integral and its generalizations to enhance the quality ... -
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 ... -
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, ... -
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 ... -
Learning fuzzy measures for aggregation in fuzzy rule-based models
Saleh, Emran; Valls, Aida; Moreno, Antonio; Romero-Aroca, Pedro; Torra, Vicenç; Bustince Sola, Humberto (Springer Verlag, 2018)
Contribución a congreso / Biltzarrerako ekarpena
Fuzzy measures are used to express background knowledge of the information sources. In fuzzy rule-based models, the rule confidence gives an important information about the final classes and their relevance. This work ... -
On the generalizations of the Choquet integral for application in FRBCs
Lucca, Giancarlo; Borges, Eduardo N.; Berri, Rafael A.; Emmendorfer, Leonardo R.; Pereira Dimuro, Graçaliz ; Asmus, Tiago (Springer, 2021)
Contribución a congreso / Biltzarrerako ekarpena
An effective way to cope with classification problems, among others, is by using Fuzzy Rule-Based Classification Systems (FRBCSs). These systems are composed by two main components, the Knowledge Base (KB) and the Fuzzy ...
