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A Homogeneous-Heterogeneous Ensemble of Classifiers.

, , , , , , and . ICONIP (5), volume 1333 of Communications in Computer and Information Science, page 251-259. Springer, (2020)

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Heterogeneous ensemble selection for evolving data streams., , , and . Pattern Recognit., (2021)Evolving an Optimal Decision Template for Combining Classifiers., , , , , , and . ICONIP (1), volume 11953 of Lecture Notes in Computer Science, page 608-620. Springer, (2019)Multi-layer heterogeneous ensemble with classifier and feature selection., , , , , and . GECCO, page 725-733. ACM, (2020)Ensemble Selection based on Classifier Prediction Confidence., , , , and . Pattern Recognit., (2020)Streaming Active Deep Forest for Evolving Data Stream Classification., , and . CoRR, (2020)Deep Heterogeneous Ensemble., , , , , , and . Aust. J. Intell. Inf. Process. Syst., 16 (1): 1-9 (2019)Confidence in Prediction: An Approach for Dynamic Weighted Ensemble., , , , , and . ACIIDS (1), volume 12033 of Lecture Notes in Computer Science, page 358-370. Springer, (2020)Streaming Multi-layer Ensemble Selection using Dynamic Genetic Algorithm., , and . DICTA, page 1-8. IEEE, (2021)Simultaneous meta-data and meta-classifier selection in multiple classifier system., , , , , and . GECCO, page 39-46. ACM, (2019)Multi-label classification via label correlation and first order feature dependance in a data stream., , , , , and . Pattern Recognit., (2019)