A dynamic multiple classifier system using graph neural network for high dimensional overlapped data-Reference-Cited by-同舟云学术

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A dynamic multiple classifier system using graph neural network for high dimensional overlapped data

Published:2024-03 Issue: Volume:103 Page:102145
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Souza Mariana A.^ORCID,Sabourin Robert,Cavalcanti George D.C.,Cruz Rafael M.O.

Funder

Fonds de recherche du Québec

FRQNT

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Natural Sciences and Engineering Research Council of Canada

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference78 articles.

1. On combining classifiers;Kittler;IEEE Trans. Pattern Anal. Mach. Intell.,1998

2. An adaptive ensemble machine learning model for intrusion detection;Gao;IEEE Access,2019

3. A deep learning approach with Bayesian optimization and ensemble classifiers for detecting denial of service attacks;Gormez;Int. J. Commun. Syst.,2020

4. Defect prediction of cross projects using PCA and ensemble learning approach;Goel,2020

5. Neural network and random forest models in protein function prediction;Hakala;IEEE/ACM Trans. Comput. Biol. Bioinform.,2020

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