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Active learning of Hybrid Extreme Rotation Forests for CTA image segmentation.

, , and . HIS, page 543-548. IEEE, (2012)

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Random forest active learning for AAA thrombus segmentation in computed tomography angiography images., , and . Neurocomputing, (2014)Using Anticipative Hybrid Extreme Rotation Forest to predict emergency service readmission risk., , , and . J. Comput. Sci., (2017)Hybrid extreme rotation forest., and . Neural Networks, (2014)Active learning of Hybrid Extreme Rotation Forests for CTA image segmentation., , and . HIS, page 543-548. IEEE, (2012)Applications of Hybrid Extreme Rotation Forests for image segmentation., , , and . Int. J. Hybrid Intell. Syst., 11 (1): 13-24 (2014)Hyperspectral Image Analysis by Spectral-Spatial Processing and Anticipative Hybrid Extreme Rotation Forest Classification., and . IEEE Trans. Geosci. Remote. Sens., 54 (5): 2627-2639 (2016)A new heuristic for influence maximization in social networks., , , and . Log. J. IGPL, 24 (6): 996-1014 (2016)Enhancing Active Learning Computed Tomography Image Segmentation with Domain Knowledge., , and . HAIS, volume 8073 of Lecture Notes in Computer Science, page 491-499. Springer, (2013)A novel hyperspectral segmentation algorithm - concept and evaluation., , , , , and . Logic Journal of the IGPL, 23 (1): 105-120 (2015)Spatially regularized semisupervised Ensembles of Extreme Learning Machines for hyperspectral image segmentation., , and . Neurocomputing, (2015)