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Optimizing configuration of neural ensemble network for breast cancer diagnosis.

, , and . IJCNN, page 1087-1092. IEEE, (2014)

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Connectionist Modelling of Word Recognition., , and . Synthese, 129 (2): 173-183 (2001)Classification of benign and malignant patterns in digital mammograms for the diagnosis of breast cancer., , and . Expert Syst. Appl., 37 (4): 3344-3351 (2010)A novel soft cluster neural network for the classification of suspicious areas in digital mammograms., , and . Pattern Recognit., 42 (9): 1845-1852 (2009)Specialization Effect and Its Influence on Memory and Problem Solving in Expert Chess Players., , and . Cogn. Sci., 33 (6): 1117-1143 (2009)A classifier with clustered sub classes for the classification of suspicious areas in digital mammograms., and . IJCNN, page 1-8. IEEE, (2010)Optimizing configuration of neural ensemble network for breast cancer diagnosis., , and . IJCNN, page 1087-1092. IEEE, (2014)Polynomial prediction of neurons in neural network classifier for breast cancer diagnosis., and . ICNC, page 775-780. IEEE, (2015)Variable Hidden Neuron Ensemble for Mass Classification in Digital Mammograms Application Notes., and . IEEE Comput. Intell. Mag., 8 (1): 68-76 (2013)Multi-Cluster Support Vector Machine Classifier for the Classification of Suspicious Areas in Digital Mammograms., and . International Journal of Computational Intelligence and Applications, 10 (4): 481-494 (2011)Effects of Large Constituent Size in Variable Neural Ensemble Classifier for Breast Mass Classification., and . ICONIP (3), volume 8228 of Lecture Notes in Computer Science, page 525-532. Springer, (2013)