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Multiclass Alpha Integration of Scores from Multiple Classifiers

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Multiclass Alpha Integration of Scores from Multiple Classifiers

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Safont Armero, G.; Salazar Afanador, A.; Vergara Domínguez, L. (2019). Multiclass Alpha Integration of Scores from Multiple Classifiers. Neural Computation. 31(4):806-825. https://doi.org/10.1162/neco_a_01169

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/159843

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Title: Multiclass Alpha Integration of Scores from Multiple Classifiers
Author: Safont Armero, Gonzalo Salazar Afanador, Addisson Vergara Domínguez, Luís
UPV Unit: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia
Issued date:
Abstract:
[EN] Alpha integration methods have been used for integrating stochastic models and fusion in the context of detection (binary classification). Our work proposes separated score integration (SSI), a new method based on ...[+]
Subjects: Soft fusion , Alpha integration , Classification , EEG , Ultrasounds
Copyrigths: Reserva de todos los derechos
Source:
Neural Computation. (issn: 0899-7667 )
DOI: 10.1162/neco_a_01169
Publisher:
MIT Press
Publisher version: https://doi.org/10.1162/neco_a_01169
Project ID:
GENERALITAT VALENCIANA/PROMETEOII/2014/032
AEI/TEC2017-84743-P-AR
Thanks:
This work was supported by the Spanish Administration and European Union under grant TEC2017-84743-P and Generalitat Valenciana under grant PROMETEO II/2014/032.
Type: Artículo

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