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META-DES.H: A Dynamic Ensemble Selection technique using meta-learning and a dynamic weighting approach., , and . IJCNN, page 1-8. IEEE, (2015)A bootstrap-based iterative selection for ensemble generation., , , and . IJCNN, page 1-7. IEEE, (2015)Protein secondary structure prediction with ICA feature extraction., , and . NNSP, page 13-22. IEEE, (2003)A robust feature extraction algorithm based on class-Modular Image Principal Component Analysis for face verification., , , and . ICASSP, page 1469-1472. IEEE, (2011)On the evaluation of dynamic selection parameters for time series forecasting., , , and . IJCNN, page 1-7. IEEE, (2020)Prototype selection for dynamic classifier and ensemble selection., , and . Neural Comput. Appl., 29 (2): 447-457 (2018)ICPRAI 2018 SI: On dynamic ensemble selection and data preprocessing for multi-class imbalance learning., , , and . CoRR, (2018)K-Nearest Oracles Borderline Dynamic Classifier Ensemble Selection., , , , and . IJCNN, page 1-8. IEEE, (2018)Neighborhood coding for image representation and neighborhood operations., , , , , and . SMC, page 2345-2349. IEEE, (2012)A simulation environment for volatility analysis of developed and in development markets., , and . IJCNN, page 2450-2456. IEEE, (2011)