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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...

    Miriam S. Santos, Pedro H. Abreu, Szymon Wilk in Artificial Intelligence in Medicine (2020)

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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 ...

    Marta Mercier, Miriam S. Santos in Advances in Intelligent Data Analysis XVII (2018)