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Automatic Detection of Myocardial Infarction Through a Global Shape Feature Based on Local Statistical Modeling., , , , , , and . STACOM@MICCAI, volume 9534 of Lecture Notes in Computer Science, page 208-216. Springer, (2015)Combining Neural Networks Based on Dempster-Shafer Theory for Classifying Data with Imperfect Labels., , and . MICAI (2), volume 6438 of Lecture Notes in Computer Science, page 233-244. Springer, (2010)Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge., , , , , , , , , and 26 other author(s). IEEE J. Biomedical and Health Informatics, 22 (2): 503-515 (2018)Combining complementary information sources in the Dempster-Shafer framework for solving classification problems with imperfect labels., , and . Knowl.-Based Syst., (2012)Data-Driven Divide-and-Conquer for Estimating Build Times of 3D Objects., , , and . ICDM (Workshops), page 268-277. IEEE, (2021)Knitted fabric defect classification for uncertain labels based on Dempster-Shafer theory of evidence., , and . Expert Syst. Appl., 38 (5): 5259-5267 (2011)Subspace Ensembles for Face Recognition., , and . Austr. J. Intelligent Information Processing Systems, (2010)Principal Component Analysis for the Classification of Cardiac Motion Abnormalities Based on Echocardiographic Strain and Strain Rate Imaging., , , , , , and . FIMH, volume 9126 of Lecture Notes in Computer Science, page 83-90. Springer, (2015)Combination of multiple diverse classifiers using belief functions for handling data with imperfect labels., , and . Expert Syst. Appl., 39 (2): 1698-1707 (2012)Evidence-based mixture of MLP-experts., , , , and . IJCNN, page 1-7. IEEE, (2010)