Listar Dpto. Estadística, Informática y Matemáticas - Estatistika, Informatika eta Matematika Saila [desde mayo 2018 / 2018ko maiatzetik] por tema "Aggregations"
Mostrando ítems 1-3 de 3
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Abstract homogeneous functions and consistently influenced/disturbed multi-expert decision making
Santiago, Regivan; Bedregal, Benjamin
; Pereira Dimuro, Graçaliz ; Fernández Fernández, Francisco Javier ; Bustince Sola, Humberto ; Fardoun, Habib (IEEE, 2021)
Artículo / Artikulua 
In this paper we propose a new generalization for the notion of homogeneous functions. We show some properties and how it appears in some scenarios. Finally we show how this generalization can be used in order to provide ... -
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 ... -
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 ...
