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Arrhythmia Classification Using Local Hölder Exponents and Support Vector Machine.

, , , , , and . PReMI, volume 3776 of Lecture Notes in Computer Science, page 242-247. Springer, (2005)

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Hybrid Support Vector Machine for imbalanced data in multiclass arrhythmia classification., , , and . I. J. Functional Informatics and Personalised Medicine, 3 (1): 29-47 (2010)Variable Selection and Fault Detection Using a Hybrid Intelligent Water Drop Algorithm., , , , and . SocProS, volume 236 of Advances in Intelligent Systems and Computing, page 225-231. Springer, (2012)Identification of Defensins Employing Recurrence Quantification Analysis and Random Forest Classifiers., , , , and . PReMI, volume 5909 of Lecture Notes in Computer Science, page 152-157. Springer, (2009)Granular Support Vector Machine Based Method for Prediction of Solubility of Proteins on Overexpression in Escherichia Coli., , and . PReMI, volume 4815 of Lecture Notes in Computer Science, page 406-415. Springer, (2007)Hybrid SVM for Multiclass Arrhythmia Classification., , , and . BIBM, page 287-290. IEEE Computer Society, (2009)Arrhythmia Classification Using Local Hölder Exponents and Support Vector Machine., , , , , and . PReMI, volume 3776 of Lecture Notes in Computer Science, page 242-247. Springer, (2005)An ant colony classifier system: application to some process engineering problems., , and . Comput. Chem. Eng., 28 (9): 1577-1584 (2004)Hybrid Biogeography Based Simultaneous Feature Selection and Prediction of N-Myristoylation Substrate Proteins Using Support Vector Machines and Random Forest Classifiers., , , and . SEMCCO, volume 7677 of Lecture Notes in Computer Science, page 364-371. Springer, (2012)Knowledge incorporated support vector machines to detect faults in Tennessee Eastman Process., , and . Comput. Chem. Eng., 29 (10): 2128-2133 (2005)An SVM classifier incorporating simultaneous noise reduction and feature selection: illustrative case examples., , and . Pattern Recognit., 38 (1): 41-49 (2005)