Listar Comunicaciones y ponencias de congresos DEIM - EIMS Biltzarretako komunikazioak eta txostenak por autor UPNA "Uriz Martín, Mikel Xabier"
Mostrando ítems 1-4 de 4
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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 ... -
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 ...
