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Analysis of new techniques to obtain quality training sets.

, , , , and . Pattern Recognition Letters, 24 (7): 1015-1022 (2003)

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Improving the Performance of the RBF Neural Networks Trained with Imbalanced Samples., , , , and . IWANN, volume 4507 of Lecture Notes in Computer Science, page 162-169. Springer, (2007)The Multi-Class Imbalance Problem: Cost Functions with Modular and Non-Modular Neural Networks., , , and . ISNN (4), volume 56 of Advances in Intelligent and Soft Computing, page 421-431. Springer, (2009)Analysing the Safe, Average and Border Samples on Two-Class Imbalance Problems in the Back-Propagation Domain., , , , , and . CIARP, volume 9423 of Lecture Notes in Computer Science, page 699-707. Springer, (2015)Improving the Classification Accuracy of RBF and MLP Neural Networks Trained with Imbalanced Samples., , , , and . IDEAL, volume 4224 of Lecture Notes in Computer Science, page 464-471. Springer, (2006)Combined Effects of Class Imbalance and Class Overlap on Instance-Based Classification., , , , and . IDEAL, volume 4224 of Lecture Notes in Computer Science, page 371-378. Springer, (2006)Applicability of Cluster Validation Indexes for Large Data Sets., , , , , and . MICAI (Special Sessions), page 187-193. IEEE Computer Society, (2013)Empirical Analysis of Assessments Metrics for Multi-class Imbalance Learning on the Back-Propagation Context., , , , and . ICSI (2), volume 8795 of Lecture Notes in Computer Science, page 17-23. Springer, (2014)Use of Ensemble Based on GA for Imbalance Problem., , , and . ISNN (2), volume 5552 of Lecture Notes in Computer Science, page 547-554. Springer, (2009)Performance Analysis of Deep Neural Networks for Classification of Gene-Expression Microarrays., , , , and . MCPR, volume 10880 of Lecture Notes in Computer Science, page 105-115. Springer, (2018)Cost-Sensitive Neural Networks and Editing Techniques for Imbalance Problems., , , and . MCPR, volume 6256 of Lecture Notes in Computer Science, page 180-188. Springer, (2010)