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Ensemble learning for data stream analysis: A survey., , , , and . Inf. Fusion, (2017)Combined classifier based on feature space partitioning., and . Int. J. Appl. Math. Comput. Sci., 22 (4): 855-866 (2012)Instance exploitation for learning temporary concepts from sparsely labeled drifting data streams., and . Pattern Recognit., (2022)Untrained weighted classifier combination with embedded ensemble pruning., and . Neurocomputing, (2016)The deterministic subspace method for constructing classifier ensembles., , and . Pattern Anal. Appl., 20 (4): 981-990 (2017)Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation., , , , , and . Expert Syst. Appl., (2019)Kappa Updated Ensemble for drifting data stream mining., and . Mach. Learn., 109 (1): 175-218 (2020)2nd Workshop on Learning with Imbalanced Domains: Preface., , , , , and . LIDTA@ECML/PKDD, volume 94 of Proceedings of Machine Learning Research, page 1-7. PMLR, (2018)DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data., , and . CoRR, (2021)Imbalanced Big Data Oversampling: Taxonomy, Algorithms, Software, Guidelines and Future Directions., and . CoRR, (2021)