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An Investigation of Ensemble Systems Applied to Encrypted and Cancellable Biometric Data.

, , and . ICANN (2), volume 7553 of Lecture Notes in Computer Science, page 180-188. Springer, (2012)

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Investigating fusion approaches in multi-biometric cancellable recognition., , and . Expert Syst. Appl., 40 (6): 1971-1980 (2013)Using semi-supervised learning in multi-label classification problems., and . IJCNN, page 1-8. IEEE, (2012)Using confidence values in multi-label classification problems with semi-supervised learning., , and . IJCNN, page 1-8. IEEE, (2013)Applying the self-training semi-supervised learning in hierarchical multi-label methods., and . IJCNN, page 872-879. IEEE, (2014)A comparative analysis of dissimilarity measures for clustering categorical data., , , and . IJCNN, page 1-8. IEEE, (2013)Evaluating the Dynamicity of Feature and Individual Classifiers Selection in Ensembles of Classifiers., , , and . IJCNN, page 1-8. IEEE, (2018)Hybrid Metaheuristics to the Automatic Selection of Features and Members of Classifier Ensembles., , and . Information, 9 (11): 268 (2018)A multi-agent metaheuristic hybridization to the automatic design of ensemble systems., , , and . IJCNN, page 3967-3974. IEEE, (2017)An analysis of data distribution methods in classifier combination systems., , and . IJCNN, page 1220-1227. IEEE, (2008)Multiobjective Optimization Techniques for Selecting Important Metrics in the Design of Ensemble Systems., , and . Comput. Intell., 33 (1): 119-143 (2017)