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Annealing Based Approach to Optimize Classification Systems., , and . IJCNN, page 2616-2620. IEEE, (2007)Contribution of data complexity features on dynamic classifier selection., , , , and . IJCNN, page 4396-4403. IEEE, (2016)Combining Diversity and Classification Accuracy for Ensemble Selection in Random Subspaces., , and . IJCNN, page 2144-2151. IEEE, (2006)Evolving Classifier Ensembles using Dynamic Multi-objective Swarm Intelligence., , and . ICPRAM, page 206-215. SciTePress, (2013)FIRE-DES++: Enhanced Online Pruning of Base Classifiers for Dynamic Ensemble Selection., , , and . CoRR, (2018)DESlib: A Dynamic ensemble selection library in Python., , , and . CoRR, (2018)A neural network approach to off-line signature verification using directional PDF., , and . Pattern Recognit., 29 (3): 415-424 (1996)Learning features for offline handwritten signature verification using deep convolutional neural networks., , and . Pattern Recognit., (2017)LoGID: An adaptive framework combining local and global incremental learning for dynamic selection of ensembles of HMMs., , and . Pattern Recognit., 45 (9): 3544-3556 (2012)Fast two-level Viterbi search algorithm for unconstrained handwriting recognition., , and . ICASSP, page 3537-3540. IEEE, (2002)