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Evolving Classifier Ensembles using Dynamic Multi-objective Swarm Intelligence., , и . ICPRAM, стр. 206-215. SciTePress, (2013)Contribution of data complexity features on dynamic classifier selection., , , , и . IJCNN, стр. 4396-4403. IEEE, (2016)Combining Diversity and Classification Accuracy for Ensemble Selection in Random Subspaces., , и . IJCNN, стр. 2144-2151. IEEE, (2006)DESlib: A Dynamic ensemble selection library in Python., , , и . CoRR, (2018)FIRE-DES++: Enhanced Online Pruning of Base Classifiers for Dynamic Ensemble Selection., , , и . CoRR, (2018)Annealing Based Approach to Optimize Classification Systems., , и . IJCNN, стр. 2616-2620. IEEE, (2007)A neural network approach to off-line signature verification using directional PDF., , и . Pattern Recognit., 29 (3): 415-424 (1996)Learning features for offline handwritten signature verification using deep convolutional neural networks., , и . Pattern Recognit., (2017)LoGID: An adaptive framework combining local and global incremental learning for dynamic selection of ensembles of HMMs., , и . Pattern Recognit., 45 (9): 3544-3556 (2012)Dynamic Selection of Ensembles of Classifiers Using Contextual Information., , и . MCS, том 5997 из Lecture Notes in Computer Science, стр. 145-154. Springer, (2010)