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Foreground and background information in an HMM-based method for recognition of isolated characters and numeral strings.

, , , and . IWFHR, page 371-376. IEEE Computer Society, (2004)

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Evolving Classifier Ensembles using Dynamic Multi-objective Swarm Intelligence., , and . ICPRAM, page 206-215. SciTePress, (2013)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)Annealing Based Approach to Optimize Classification Systems., , and . IJCNN, page 2616-2620. IEEE, (2007)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)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)Offline handwritten signature verification - Literature review., , and . IPTA, page 1-8. IEEE, (2017)Applying Pairwise Fusion Matrix on Fusion Functions for Classifier Combination., , and . MCS, volume 4472 of Lecture Notes in Computer Science, page 302-311. Springer, (2007)Dynamic Selection of Ensembles of Classifiers Using Contextual Information., , and . MCS, volume 5997 of Lecture Notes in Computer Science, page 145-154. Springer, (2010)