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Classification of Cardiac Arrhythmia by Random Forests with Features Constructed by Kaizen Programming with Linear Genetic Programming.

, , and . GECCO, page 813-820. ACM, (2016)

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Morphologically Realistic Neural Networks., and . ICECCS, page 223-228. IEEE Computer Society, (1997)Gradient Boosting Decision Trees for Echocardiogram Images., , , and . IJCNN, page 1-8. IEEE, (2018)A hybrid neural system for the automatic segmentation of the interventricular septum in echocardiographic images., , , and . IJCNN, page 5072-5078. IEEE, (2016)Classification of Cardiac Arrhythmia by Random Forests with Features Constructed by Kaizen Programming with Linear Genetic Programming., , and . GECCO, page 813-820. ACM, (2016)A segmentation method for myocardial ischemia/infarction applicable in heart photos., , , and . Comput. Biol. Medicine, (2017)Shape-Based Features for Cat Ganglion Retinal Cells Classification., , , , and . Real Time Imaging, 8 (3): 213-226 (2002)A mobile device tool to assist the ECG interpretation based on a realistic 3D virtual heart simulation., , and . Simul., 94 (6): 465-476 (2018)Classification of Cat Ganglion Retinal Cells and Implications for Shape-Function Relationship., , , and . ICIAP, page 517-522. IEEE Computer Society, (2001)Generating Three-Dimensional Neural Cells Based on Bayes Rules and Interpolation with Thin Plate Splines., and . CIARP, volume 2905 of Lecture Notes in Computer Science, page 675-682. Springer, (2003)Neural Cells Synthesis Using L-System., and . SIBGRAPI, page 431. IEEE Computer Society, (2002)