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Plant identification using new geometric features with standard data mining methods., , , and . ICNSC, page 1-4. IEEE, (2016)Is There a Relationship Between Neighborhoods of Minority Class Instances and the Performance of Classification Methods?, , and . ICIC (1), volume 9771 of Lecture Notes in Computer Science, page 750-761. Springer, (2016)PSO-Based Method for SVM Classification on Skewed Data-Sets., , , , , and . ICIC (3), volume 9227 of Lecture Notes in Computer Science, page 79-86. Springer, (2015)Active rule base development for dynamic vertical partitioning of multimedia databases., , , , and . J. Intell. Inf. Syst., 48 (2): 421-451 (2017)Árbol de decisión C4.5 basado en entropía minoritaria para clasificación de conjuntos de datos no balanceados., , and . Res. Comput. Sci., (2015)Automatic Classification of Lobed Simple and Unlobed Simple Leaves for Plant Identification., , , and . Res. Comput. Sci., (2017)PSO-based method for SVM classification on skewed data sets., , , , , and . Neurocomputing, (2017)Border Samples Detection for Data Mining Applications Using Non Convex Hulls., , , , and . MICAI (2), volume 7095 of Lecture Notes in Computer Science, page 261-272. Springer, (2011)Color Characterization Comparison for Machine Vision-Based Fruit Recognition., , , and . ICIC (1), volume 9225 of Lecture Notes in Computer Science, page 258-270. Springer, (2015)A comprehensive survey on support vector machine classification: Applications, challenges and trends., , , and . Neurocomputing, (2020)