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Combination of Multiple Classifiers Using Local Accuracy Estimates.

, , and . CVPR, page 391-396. IEEE Computer Society, (1996)

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Learning Rules from Distributed Data., , , and . Large-Scale Parallel Data Mining, volume 1759 of Lecture Notes in Computer Science, page 211-220. Springer, (1999)SMOTE: synthetic minority over-sampling technique, , , and . Journal of artificial intelligence research, (2002)Using classifier ensembles to label spatially disjoint data., , , , and . Inf. Fusion, 9 (1): 120-133 (2008)A Comparison of Ensemble Creation Techniques., , , , , and . Multiple Classifier Systems, volume 3077 of Lecture Notes in Computer Science, page 223-232. Springer, (2004)Bagging Is a Small-Data-Set Phenomenon., , , , , and . CVPR (2), page 684-689. IEEE Computer Society, (2001)Comparing Pure Parallel Ensemble Creation Techniques Against Bagging., , , , , and . ICDM, page 533-536. IEEE Computer Society, (2003)Feature selection via decision tree surrogate splits., and . ICPR, page 1-5. IEEE Computer Society, (2008)Attacking DBSCAN for Fun and Profit., and . SDM, page 235-243. SIAM, (2015)Ensembles of Classifiers from Spatially Disjoint Data., , , and . Multiple Classifier Systems, volume 3541 of Lecture Notes in Computer Science, page 196-205. Springer, (2005)Investigation of bagging-like effects and decision trees versus neural nets in protein secondary structure prediction., , , , , and . BIOKDD, page 50-59. (2001)