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Specialized Ensemble of Classifiers for Traffic Sign Recognition., , , , and . IWANN, volume 4507 of Lecture Notes in Computer Science, page 733-740. Springer, (2007)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)Forecasting Univariate Time Series by Input Transformation and Selection of the Suitable Model., , and . IWANN (2), volume 10306 of Lecture Notes in Computer Science, page 210-221. Springer, (2017)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)An ensemble approach of dual base learners for multi-class classification problems., , , , and . Inf. Fusion, (2015)Measuring Diversity and Accuracy in ANN Ensembles., , , , and . CAEPIA, volume 11160 of Lecture Notes in Computer Science, page 108-117. Springer, (2018)A new artificial neural network ensemble based on feature selection and class recoding., , , , and . Neural Comput. Appl., 21 (4): 771-783 (2012)Ensemble of ANN for Traffic Sign Recognition., , , , and . Encyclopedia of Artificial Intelligence, IGI Global, (2009)Combining additive input noise annealing and pattern transformations for improved handwritten character recognition., , and . Expert Syst. Appl., 41 (18): 8180-8188 (2014)Forecasting time series by an ensemble of Artificial Neural Networks based on transforming the time series., , and . SMC, page 4769-4774. IEEE, (2016)