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Cross-Validation for Imbalanced Datasets: Avoiding Overoptimistic and Overfitting Approaches Research Frontier.

, , , , and . IEEE Comput. Intell. Mag., 13 (4): 59-76 (2018)

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Missing Data Imputation via Denoising Autoencoders: The Untold Story., , , and . IDA, volume 11191 of Lecture Notes in Computer Science, page 87-98. Springer, (2018)Exploring the Effects of Data Distribution in Missing Data Imputation., , , , and . IDA, volume 11191 of Lecture Notes in Computer Science, page 251-263. Springer, (2018)Cross-Validation for Imbalanced Datasets: Avoiding Overoptimistic and Overfitting Approaches Research Frontier., , , , and . IEEE Comput. Intell. Mag., 13 (4): 59-76 (2018)Generating Synthetic Missing Data: A Review by Missing Mechanism., , , , , and . IEEE Access, (2019)Analysing the Footprint of Classifiers in Overlapped and Imbalanced Contexts., , , , , and . IDA, volume 11191 of Lecture Notes in Computer Science, page 200-212. Springer, (2018)Influence of Data Distribution in Missing Data Imputation., , , , and . AIME, volume 10259 of Lecture Notes in Computer Science, page 285-294. Springer, (2017)