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The null space of fuzzy inclusion measures
(IEEE, 2019)
info:eu-repo/semantics/article,
Some formal relationships between the different axiomatic definitions of inclusion measure are analysed. In particular, the links between the different proposals about the null-space (the collection of pairs associated ...
Do we still need fuzzy classifiers for small data in the era of big data?
(IEEE, 2019)
info:eu-repo/semantics/conferenceObject,
The Era of Big Data has forced researchers to explore new distributed solutions for building fuzzy classifiers, which often introduce approximation errors or make strong assumptions to reduce computational and memory ...
A study of different families of fusion functions for combining classifiers in the one-vs-one strategy
(Springer, 2018)
info:eu-repo/semantics/conferenceObject,
In this work we study the usage of different families of fusion functions for combining classifiers in a multiple classifier system of One-vs-One (OVO) classifiers. OVO is a decomposition strategy used to deal with multi-class ...
A decision tree based approach with sampling techniques to predict the survival status of poly-trauma patients
(Atlantis Press, 2017)
info:eu-repo/semantics/article,
Survival prediction of poly-trauma patients measure the quality of emergency services by comparing their predictions with the real outcomes. The aim of this paper is to tackle this problem applying C4.5 since it
achieves ...
Construction of capacities from overlap indexes
(Springer, 2017)
info:eu-repo/semantics/bookPart,
In this chapter, we show how the concepts of overlap function and overlap index can be used to define fuzzy measures which depend on the specific data of each considered problem.
Gertakari errepresiboak kuantifikatzea: Nafarroako Memoria Historikoaren Dokumentu Funtsaren azalpena eta erronkak
(2019)
info:eu-repo/semantics/workingPaper,
En este documento se presentan los fundamentos historiográficos y metodológicos de la base de datos del Fondo Documental de la Memoria Histórica en Navarra, desarrollada en la Universidad Pública ...
Consensus image method for unknown noise removal
(Elsevier, 2014)
info:eu-repo/semantics/article,
Noise removal has been, and it is nowadays, an important task in computer vision. Usually, it is a previous task preceding other tasks, as segmentation or reconstruction. However, for most existing denoising algorithms the ...
An evolutionary underbagging approach to tackle the survival prediction of trauma patients: a case study at the Hospital of Navarre
(IEEE, 2019)
info:eu-repo/semantics/article,
Survival prediction systems are used among emergency services at hospitals in order to measure their quality objectively. In order to do so, the estimated mortality rate given by a prediction model is compared with the ...
T-overlap functions: a generalization of bivariate overlap functions by t-norms
(Springer, 2018)
info:eu-repo/semantics/conferenceObject,
This paper introduces a generalization of overlap functions by extending one of the boundary conditions of its definition. More specifically, instead of requiring that 'the considered function is equal to zero if and only ...
Image feature extraction using OD-monotone functions
(Springer, 2018)
info:eu-repo/semantics/conferenceObject,
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, ...