Keel data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework, Journal of Multiple-Valued Logic and Soft Computing, vol.17, pp.255-28711, 2010. ,
Ensemble Selection Based on Discriminant Functions in Binary Classification Task, Intelligent Data Engineering and Automated Learning IDEAL 2015, pp.61-68 ,
DOI : 10.1016/j.patcog.2011.03.020
Randomizing outputs to increase prediction accuracy, Machine Learning, pp.229-242, 2000. ,
Dynamic selection of classifiers???A comprehensive review, Pattern Recognition, vol.47, issue.11, pp.473665-3680, 2014. ,
DOI : 10.1016/j.patcog.2014.05.003
Classifier fusion with interval-valued weights, Pattern Recognition Letters, vol.34, issue.14, pp.1623-1629, 2013. ,
DOI : 10.1016/j.patrec.2013.05.022
Investigating the influence of the choice of the ensemble members in accuracy and diversity of selection-based and fusion-based methods for ensembles, Pattern Recognition Letters, vol.28, issue.4, pp.472-486, 2007. ,
DOI : 10.1016/j.patrec.2006.09.001
The combining classifier: to train or not to train? In Pattern Recognition, Proceedings. 16th International Conference on, pp.765-770, 2002. ,
Recognition of Occluded Faces Based on Multi-subspace Classification, Computer Information Systems and Industrial Management, pp.148-157, 2013. ,
DOI : 10.1007/978-3-642-40925-7_15
UCI machine learning repository, 2010. ,
An Algorithm for the Automatic Analysis of Characters Located on Car License Plates, Image Analysis and Recognition, pp.774-781, 2013. ,
DOI : 10.1007/978-3-642-39094-4_89
Experiments with a new boosting algorithm, ICML, pp.148-156, 1996. ,
An approach to the automatic design of multiple classifier systems, Pattern Recognition Letters, vol.22, issue.1, pp.25-33, 2001. ,
DOI : 10.1016/S0167-8655(00)00096-9
Supervised hybrid feature selection based on pso and rough sets for medical diagnosis. Computer methods and programs in biomedicine, pp.175-185, 2014. ,
DOI : 10.1016/j.cmpb.2013.10.007
IMPROVED ADAPTIVE SPLITTING AND SELECTION: THE HYBRID TRAINING METHOD OF A CLASSIFIER BASED ON A FEATURE SPACE PARTITIONING, International Journal of Neural Systems, vol.7, issue.03, pp.24-2014 ,
DOI : 10.1162/089976699300016007
From Ensemble of Fuzzy Classifiers to Single Fuzzy Rule Base Classifier, Artificial Intelligence and Soft Computing? ICAISC 2008, pp.265-272 ,
DOI : 10.1007/978-3-540-69731-2_26
Combining Pattern Classifiers: Methods and Algorithms, 2004. ,
DOI : 10.1002/9781118914564
Decision templates for multiple classifier fusion: an experimental comparison, Pattern Recognition, vol.34, issue.2, pp.299-314, 2001. ,
DOI : 10.1016/S0031-3203(99)00223-X
Genetic algorithm with aggressive mutation for feature selection in BCI feature space, Pattern Analysis and Applications, vol.2, issue.4, pp.485-492, 2015. ,
DOI : 10.1088/1741-2560/2/4/L02
URL : https://link.springer.com/content/pdf/10.1007%2Fs10044-014-0425-3.pdf
Classifier selection for majority voting, Information Fusion, vol.6, issue.1, pp.63-81, 2005. ,
DOI : 10.1016/j.inffus.2004.04.008
Nonparametric statistical analysis for multiple comparison of machine learning regression algorithms, International Journal of Applied Mathematics and Computer Science, vol.22, issue.4, pp.867-881, 2012. ,
Methods of combining multiple classifiers and their applications to handwriting recognition. Systems, Man and Cybernetics, IEEE Transactions on, vol.22, issue.3, pp.418-435, 1992. ,
DOI : 10.1109/21.155943
Statistical classification of soft solder alloys by laser-induced breakdown spectroscopy: review of methods, Journal of the European Optical Society: Rapid Publications, vol.11, 2016. ,
DOI : 10.2971/jeos.2016.16006i