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Statistical computation of feature weighting schemes through data estimation for nearest neighbor classifiers.

, , , and . Pattern Recognit., 47 (12): 3941-3948 (2014)

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Tackling the problem of noisy IoT sensor data in smart agriculture: Regression noise filters for enhanced evapotranspiration prediction., , and . Expert Syst. Appl., 237 (Part B): 121608 (March 2024)Managing Borderline and Noisy Examples in Imbalanced Classification by Combining SMOTE with Ensemble Filtering., , , and . IDEAL, volume 8669 of Lecture Notes in Computer Science, page 61-68. Springer, (2014)SRCS: Statistical Ranking Color Scheme for Visualizing Parameterized Multiple Pairwise Comparisons with R., and . R J., 7 (2): 89 (2015)Fuzzy Rule Based Classification Systems versus crisp robust learners trained in presence of class noise's effects: A case of study., , and . ISDA, page 1229-1234. IEEE, (2011)Evaluating the classifier behavior with noisy data considering performance and robustness: The Equalized Loss of Accuracy measure., , and . Neurocomputing, (2016)Tackling the problem of classification with noisy data using Multiple Classifier Systems: Analysis of the performance and robustness., , , and . Inf. Sci., (2013)SMOTE-IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering., , , and . Inf. Sci., (2015)A First Study on Decomposition Strategies with Data with Class Noise Using Decision Trees., , , and . HAIS (2), volume 7209 of Lecture Notes in Computer Science, page 25-35. Springer, (2012)On the characterization of noise filters for self-training semi-supervised in nearest neighbor classification., , , , and . Neurocomputing, (2014)Multi-class Imbalanced Data Oversampling for Vertebral Column Pathologies Classification., , , , and . HAIS, volume 10870 of Lecture Notes in Computer Science, page 131-142. Springer, (2018)