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An Empirical Analysis of Meta-learning for the Automatic Choice of Architecture and Components in Ensemble Systems.

, , and . BRACIS, page 1-6. IEEE Computer Society, (2014)

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Dynamic Feature Selection Based on Clustering Algorithm and Individual Similarity., , , and . ICANN (2), volume 10614 of Lecture Notes in Computer Science, page 467-474. Springer, (2017)Simulating Working Environments Through the Use of Personality-Based Agents., , , , , , and . IBERAMIA-SBIA, volume 4140 of Lecture Notes in Computer Science, page 108-117. Springer, (2006)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)Analyzing Classification Methods in Multi-label Tasks., , and . ICANN (3), volume 6354 of Lecture Notes in Computer Science, page 137-142. Springer, (2010)Investigating the use of a multi-agent system for knowledge discovery in databases., , , and . Int. J. Hybrid Intell. Syst., 4 (1): 27-38 (2007)Evaluating the Influence of the Choice of the Ensemble Members in Some Fuzzy Combination Methods., and . IJCNN, page 448-453. IEEE, (2007)An exploratory study of mono and multi-objective metaheuristics to ensemble of classifiers., and . Appl. Intell., 48 (2): 416-431 (2018)Characterization measures of ensemble systems using a meta-learning approach., , and . IJCNN, page 1-8. IEEE, (2013)Using genetic algorithms and ensemble systems in online cancellable signature recognition., , and . IJCNN, page 1-8. IEEE, (2013)Improving multi-view facial expression recognition through two novel texture-based feature representations., , and . Intell. Data Anal., 24 (6): 1455-1476 (2020)