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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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Evaluating classification methods applied to multi-label tasks in different domains., , and . HIS, page 61-66. IEEE, (2010)Enhancing Performance of Cancellable Fingerprint Biometrics Using Classifier Ensembles., , , and . SBRN, page 55-60. IEEE Computer Society, (2010)Using good and bad diversity measures in the design of ensemble systems: A genetic algorithm approach., , and . IEEE Congress on Evolutionary Computation, page 789-796. IEEE, (2013)Static and Dynamic Weights in Ensemble Systems Built by Class-Based Feature Selection Methods., , , and . SBRN, page 61-66. IEEE Computer Society, (2010)A Novel Evolutionary Algorithm for Automated Machine Learning Focusing on Classifier Ensembles., , , and . BRACIS, page 462-467. IEEE Computer Society, (2018)A multi-agent metaheuristic hybridization to the automatic design of ensemble systems., , , and . IJCNN, page 3967-3974. IEEE, (2017)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)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.A Comparative Study on Automatic Model and Hyper-Parameter Selection in Classifier Ensembles., , , and . BRACIS, page 323-328. IEEE, (2019)