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

, , , и . Inf. Fusion, (марта 2024)

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Robert O M Riany

Eliseo Cruz Vergara

Alvaro Cruz-Saco

Reynaldo Cruz-Rivera

Joao Paulo Cruz Lopes Miranda

 

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Improving BPSO-based feature selection applied to offline WI handwritten signature verification through overfitting control., , , и . GECCO Companion, стр. 69-70. ACM, (2020)Feature representation selection based on Classifier Projection Space and Oracle analysis., , , и . Expert Syst. Appl., 40 (9): 3813-3827 (2013)META-DES: A Dynamic Ensemble Selection Framework using Meta-Learning., , , и . CoRR, (2018)META-DES.Oracle: Meta-learning and feature selection for ensemble selection., , и . CoRR, (2018)OLP++: An online local classifier for high dimensional data., , , и . Inf. Fusion, (2023)Dynamic Ensemble Selection Using Fuzzy Hyperboxes., , и . IJCNN, стр. 1-9. IEEE, (2022)On Meta-learning for Dynamic Ensemble Selection., , и . ICPR, стр. 1230-1235. IEEE Computer Society, (2014)On Dissimilarity Representation and Transfer Learning for Offline Handwritten Signature Verification., , , и . IJCNN, стр. 1-9. IEEE, (2019)Analyzing different prototype selection techniques for dynamic classifier and ensemble selection., , и . IJCNN, стр. 3959-3966. IEEE, (2017)A method for dynamic ensemble selection based on a filter and an adaptive distance to improve the quality of the regions of competence., , и . IJCNN, стр. 1126-1133. IEEE, (2011)