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Combining overall and local class accuracies in an oracle-based method for dynamic ensemble selection.

, , , , and . IJCNN, page 1-7. IEEE, (2015)

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Crime scene classification., , , and . SAC, page 419-423. ACM, (2008)Contribution of data complexity features on dynamic classifier selection., , , , and . IJCNN, page 4396-4403. IEEE, (2016)Obtaining the threat model for e-mail phishing., , and . Appl. Soft Comput., 13 (12): 4841-4848 (2013)Phasic dopamine release identification using convolutional neural network., , , , , and . Comput. Biol. Medicine, (2019)Offline handwritten signature verification - Literature review., , and . IPTA, page 1-8. IEEE, (2017)Analyzing features learned for Offline Signature Verification using Deep CNNs., , and . ICPR, page 2989-2994. IEEE, (2016)Learning features for offline handwritten signature verification using deep convolutional neural networks., , and . Pattern Recognit., (2017)Multi-scale Forest Species Recognition Systems for Reduced Cost., , and . CoRR, (2017)Combining overall and local class accuracies in an oracle-based method for dynamic ensemble selection., , , , and . IJCNN, page 1-7. IEEE, (2015)Adaptive Random Forests with Resampling for Imbalanced data Streams., , , and . IJCNN, page 1-6. IEEE, (2019)