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Aggregation of Classifiers: A Justifiable Information Granularity Approach.

, , , and . IEEE Trans. Cybern., 49 (6): 2168-2177 (2019)

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Heterogeneous classifier ensemble with fuzzy rule-based meta learner., , , and . Inf. Sci., (2018)Combining heterogeneous classifiers via granular prototypes., , , , and . Appl. Soft Comput., (2018)A Novel Online Ensemble Convolutional Neural Networks for Streaming Data., , and . ICONIP (1), volume 11953 of Lecture Notes in Computer Science, page 199-210. Springer, (2019)An ensemble-based online learning algorithm for streaming data., , , , and . CoRR, (2017)Fuzzy If-Then Rules Classifier on Ensemble Data., , , , and . ICMLC (CCIS volume), volume 481 of Communications in Computer and Information Science, page 362-370. Springer, (2014)Aggregation of Classifiers: A Justifiable Information Granularity Approach., , , and . IEEE Trans. Cybern., 49 (6): 2168-2177 (2019)A Novel Class-wise Forgetting Detector in Continual Learning., , and . DICTA, page 1-8. IEEE, (2021)Aggregation of Classifiers: A Justifiable Information Granularity Approach., , , and . CoRR, (2017)A novel genetic algorithm approach for simultaneous feature and classifier selection in multi classifier system., , , , and . IEEE Congress on Evolutionary Computation, page 1698-1705. IEEE, (2014)Automatic Image Region Annotation by Genetic Algorithm-Based Joint Classifier and Feature Selection in Ensemble System., , , , , and . ACIIDS (1), volume 10751 of Lecture Notes in Computer Science, page 599-609. Springer, (2018)