Listar por autor UPNA "Uriz Martín, Mikel Xabier"
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Discrete IV dG-Choquet integrals with respect to admissible orders
Takáč, Zdenko; Uriz Martín, Mikel Xabier
; Galar Idoate, Mikel ; Paternain Dallo, Daniel ; Bustince Sola, Humberto (Elsevier, 2021)
Artículo / Artikulua 
In this work, we introduce the notion of dG-Choquet integral, which generalizes the discrete Choquet integral replacing, in the first place, the difference between inputs represented by closed subintervals of the unit ... -
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 ... -
FUZZ-EQ: a data equalizer for boosting the discrimination power of fuzzy classifiers
Uriz Martín, Mikel Xabier ; Elkano Ilintxeta, Mikel ; Bustince Sola, Humberto ; Galar Idoate, Mikel (Elsevier, 2020)
Artículo / Artikulua
The definition of linguistic terms is a critical part of the construction of any fuzzy classifier. Fuzzy partitioning methods (FPMs) range from simple uniform partitioning to sophisticated optimization algorithms. In this ... -
Mejora de los algoritmos de minería de datos: combinación de clasificadores, preprocesamiento y sus aplicaciones
Uriz Martín, Mikel Xabier (2021)
Tesis doctoral / Doktoretza tesia
El objetivo general de esta tesis es tratar de mejorar los resultados que se obtienen en los problemas de clasificación mejorando las fases que preceden y suceden a la fase de aprendizaje, es decir, a la construcción del ... -
On the influence of admissible orders in IVOVO
Uriz Martín, Mikel Xabier ; Paternain Dallo, Daniel ; Bustince Sola, Humberto ; Galar Idoate, Mikel (Springer, 2019)
Contribución a congreso / Biltzarrerako ekarpena
It is known that when dealing with interval-valued data, there exist problems associated with the non-existence of a total order. In this work we investigate a reformulation of an interval-valued decomposition strategy for ... -
On the influence of interval normalization in IVOVO fuzzy multi-class classifier
Uriz Martín, Mikel Xabier ; Paternain Dallo, Daniel ; Bustince Sola, Humberto ; Galar Idoate, Mikel (Springer, 2019)
Contribución a congreso / Biltzarrerako ekarpena
IVOVO stands for Inverval-Valued One-Vs-One and is the combination of IVTURS fuzzy classifier and the One-Vs-One strategy. This method is designed to improve the performance of IVTURS in multi-class problems, by dividing ... -
A study of different families of fusion functions for combining classifiers in the one-vs-one strategy
Uriz Martín, Mikel Xabier ; Paternain Dallo, Daniel ; Jurío Munárriz, Aránzazu ; Bustince Sola, Humberto ; Galar Idoate, Mikel (Springer, 2018)
Contribución a congreso / Biltzarrerako ekarpena
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 ... -
Unsupervised fuzzy measure learning for classifier ensembles from coalitions performance
Uriz Martín, Mikel Xabier ; Paternain Dallo, Daniel ; Domínguez Catena, Iris ; Bustince Sola, Humberto ; Galar Idoate, Mikel (IEEE, 2020)
Artículo / Artikulua
In Machine Learning an ensemble refers to the combination of several classifiers with the objective of improving the performance of every one of its counterparts. To design an ensemble two main aspects must be considered: ...
