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Breast cancer computer aided diagnosis (CAD) using a recently developed SVM/GRNN Oracle hybrid., , , , и . SMC, стр. 4705-4711. IEEE, (2003)Detection and Classification of Organophosphate Nerve Agent Simulants Using Support Vector Machines with Multiarray Sensors., , , , , , , и . Journal of Chemical Information and Modeling, 44 (2): 499-507 (2004)Kernelized partial least squares for feature reduction and classification of gene microarray data., , , , , , , , и . BMC Syst. Biol., 5 (S-3): S13 (2011)A kernel approach for ensemble decision combinations with two-view mammography applications., , , и . I. J. Functional Informatics and Personalised Medicine, 3 (2): 157-182 (2010)Part III: Healthcare Systems.. Complex Adaptive Systems, том 20 из Procedia Computer Science, стр. 360-361. Elsevier, (2013)Development of a Complex Adaptive PNN System for the Rapid Detection of E.coli., , , , , и . Complex Adaptive Systems, том 20 из Procedia Computer Science, стр. 342-347. Elsevier, (2013)A Multi-class Probabilistic Neural Network for Pathogen Classification., , , , , и . Complex Adaptive Systems, том 20 из Procedia Computer Science, стр. 348-353. Elsevier, (2013)Predicting with Confidence: Extensions to the GRNN Oracle Enabling Quantification of Confidence in Predictions., и . Complex Adaptive Systems, том 61 из Procedia Computer Science, стр. 381-387. Elsevier, (2015)Applying Support Vector Machines to Breast Cancer Diagnosis using Screen Film Mammogram Data., , , , , и . CBMS, стр. 224-. IEEE Computer Society, (2004)Integrating knowledge representation/engineering, the multivariant PNN, and machine learning to improve breast cancer diagnosis., , , , , , и . Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security, том 5812 из SPIE Proceedings, стр. 226-231. SPIE, (2005)