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A Skeletonizing Reconfigurable Self-Organizing Model: Validation Through Text Recognition., and . Neural Processing Letters, 34 (1): 39-58 (2011)An ensemble approach of dual base learners for multi-class classification problems., , , , and . Inf. Fusion, (2015)CCE: An Approach to Improve the Accuracy in Ensembles by Using Diverse Base Learners., , , and . HAIS, volume 8480 of Lecture Notes in Computer Science, page 630-641. Springer, (2014)Measuring Diversity and Accuracy in ANN Ensembles., , , , and . CAEPIA, volume 11160 of Lecture Notes in Computer Science, page 108-117. Springer, (2018)Specialized Ensemble of Classifiers for Traffic Sign Recognition., , , , and . IWANN, volume 4507 of Lecture Notes in Computer Science, page 733-740. Springer, (2007)Modified Self-organizing Maps for Line Extraction in Digitized Text Documents., , and . Applied Informatics, page 281-286. IASTED/ACTA Press, (2003)Combining additive input noise annealing and pattern transformations for improved handwritten character recognition., , and . Expert Syst. Appl., 41 (18): 8180-8188 (2014)Handwritten Digit Recognition with Pattern Transformations and Neural Network Averaging., , , , and . ICANN, volume 8131 of Lecture Notes in Computer Science, page 335-342. Springer, (2013)A new artificial neural network ensemble based on feature selection and class recoding., , , , and . Neural Comput. Appl., 21 (4): 771-783 (2012)CCE: An ensemble architecture based on coupled ANN for solving multiclass problems., , and . Inf. Fusion, (2020)