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Multi-scale Forest Species Recognition Systems for Reduced Cost., , and . CoRR, (2017)Dynamic Selection of Ensembles of Classifiers Using Contextual Information., , and . MCS, volume 5997 of Lecture Notes in Computer Science, page 145-154. Springer, (2010)LoGID: An adaptive framework combining local and global incremental learning for dynamic selection of ensembles of HMMs., , and . Pattern Recognition, 45 (9): 3544-3556 (2012)A multiple feature vector framework for forest species recognition., , , and . SAC, page 16-20. ACM, (2013)Different but Equal: Comparing User Collaboration with Digital Personal Assistants vs. Teams of Expert Agents., , , , , , and . CoRR, (2018)Dynamic selection approaches for multiple classifier systems., , and . Neural Computing and Applications, 22 (3-4): 673-688 (2013)Inspeção Automática de Defeitos em Madeiras de Pinus usando Visão Computacional., , , and . RITA, 15 (2): 218- (2008)An implicit segmentation-based method for recognition of handwritten strings of characters., , , , and . SAC, page 836-840. ACM, (2006)Large-Scale Multi-agent-Based Modeling and Simulation of Microblogging-Based Online Social Network., , , , , , and . MABS, volume 8235 of Lecture Notes in Computer Science, page 17-33. Springer, (2013)Forest Species Recognition Using Deep Convolutional Neural Networks., , and . ICPR, page 1103-1107. IEEE Computer Society, (2014)