A fast online stacked regressor to handle concept drifts-Reference-Cited by-同舟云学术

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A fast online stacked regressor to handle concept drifts

Published:2024-05 Issue: Volume:131 Page:107757
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

da Silva Bruno Légora Souza^ORCID,Ciarelli Patrick Marques^ORCID

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa e Inovação do Espírito Santo

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference35 articles.

1. Keel data-mining software tool: data set repository, integration of algorithms and experimental analysis framework;Alcalá-Fdez;J. Mult.-Valued Logic Soft Comput.,2011

2. Should we really use post-hoc tests based on mean-ranks?;Benavoli;J. Mach. Learn. Res.,2016

3. Online modeling with tunable RBF network;Chen;IEEE Trans. Cybern.,2013

4. Statistical comparisons of classifiers over multiple data sets;Demšar;J. Mach. Learn. Res.,2006

5. Deep learning: Methods and applications;Deng;Found. Trends Signal Process.,2013

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