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Hybrid Metaheuristics to the Automatic Selection of Features and Members of Classifier Ensembles.

, , and . Information, 9 (11): 268 (2018)

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A comparative analysis of genetic algorithm and ant colony optimization to select attributes for an heterogeneous ensemble of classifiers., , , , and . IEEE Congress on Evolutionary Computation, page 1-8. IEEE, (2010)Using an Affective Attention Focus for Improving the Reasoning Process and Behavior of Intelligent Agents., , , , , and . IAT, page 97-100. IEEE Computer Society, (2011)978-0-7695-4513-4.Analyzing the Benefits of Using a Fuzzy-Neuro Model in the Accuracy of the NeurAge System: an Agent-Based System for Classification Tasks., and . IJCNN, page 2959-2966. IEEE, (2006)An analysis of data distribution methods in classifier combination systems., , and . IJCNN, page 1220-1227. IEEE, (2008)A multi-agent metaheuristic hybridization to the automatic design of ensemble systems., , , and . IJCNN, page 3967-3974. IEEE, (2017)Applying the self-training semi-supervised learning in hierarchical multi-label methods., and . IJCNN, page 872-879. IEEE, (2014)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)Multiobjective Optimization Techniques for Selecting Important Metrics in the Design of Ensemble Systems., , and . Comput. Intell., 33 (1): 119-143 (2017)Two approaches for clustering algorithms with relational-based data., , and . Knowl. Inf. Syst., 62 (3): 1229-1253 (2020)