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Chapter and Conference Paper
Assessing the Impact of Distance Functions on K-Nearest Neighbours Imputation of Biomedical Datasets
In healthcare domains, dealing with missing data is crucial since absent observations compromise the reliability of decision support models. K-nearest neighbours imputation has proven beneficial since it takes...
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Chapter and Conference Paper
Analysing the Footprint of Classifiers in Overlapped and Imbalanced Contexts
It is recognised that the imbalanced data problem is aggravated by other difficulty factors, such as class overlap. Over the years, several research works have focused on this problematic, although presenting ...