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On Meta-Learning for Dynamic Ensemble Selection., , и . CoRR, (2018)META-DES.Oracle: Meta-learning and feature selection for dynamic ensemble selection., , и . Inf. Fusion, (2017)A study on combining dynamic selection and data preprocessing for imbalance learning., , , и . Neurocomputing, (2018)Fault distance estimation for transmission lines with dynamic regressor selection., , , и . Neural Comput. Appl., 36 (4): 1741-1759 (февраля 2024)A white-box analysis on the writer-independent dichotomy transformation applied to offline handwritten signature verification., , , и . Expert Syst. Appl., (2020)An ensemble classifier for offline cursive character recognition using multiple feature extraction techniques., , и . IJCNN, стр. 1-8. IEEE, (2010)The choice of scaling technique matters for classification performance., , и . Appl. Soft Comput., (января 2023)MoSAR: Monocular Semi-Supervised Model for Avatar Reconstruction using Differentiable Shading., , , , , , и . CoRR, (2023)On the characterization of the Oracle for dynamic classifier selection., , , и . IJCNN, стр. 332-339. IEEE, (2017)On evaluating the online local pool generation method for imbalance learning., , , и . IJCNN, стр. 1-8. IEEE, (2019)