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META-DES.Oracle: Meta-learning and feature selection for dynamic ensemble selection.

, , and . Inf. Fusion, (2017)

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Handwritten digit segmentation: a comparative study., , , and . Int. J. Document Anal. Recognit., 16 (2): 127-137 (2013)Feature selection for ensembles applied to handwriting recognition., , and . Int. J. Document Anal. Recognit., 8 (4): 262-279 (2006)A comprehensive comparison of end-to-end approaches for handwritten digit string recognition., , , , , and . Expert Syst. Appl., (2021)A multi-task approach for contrastive learning of handwritten signature feature representations., , , , and . Expert Syst. Appl., (May 2023)Adapting dynamic classifier selection for concept drift., , , and . Expert Syst. Appl., (2018)Contribution of data complexity features on dynamic classifier selection., , , , and . IJCNN, page 4396-4403. IEEE, (2016)DESlib: A Dynamic ensemble selection library in Python., , , and . CoRR, (2018)FIRE-DES++: Enhanced Online Pruning of Base Classifiers for Dynamic Ensemble Selection., , , and . CoRR, (2018)Combining Diversity and Classification Accuracy for Ensemble Selection in Random Subspaces., , and . IJCNN, page 2144-2151. IEEE, (2006)A Time-Length Constrained Level Building Algorithm for Large Vocabulary Handwritten Word Recognition., , and . ICAPR, volume 2013 of Lecture Notes in Computer Science, page 127-136. Springer, (2001)