Pattern discovery and disentanglement on relational datasets
Pattern discovery and disentanglement on relational datasets
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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Machine Learning has made impressive advances in many applications akin to human cognition for discernment. However, success has been limited in the areas of relational datasets, particularly for data with low volume, imbalanced groups, and mislabeled cases, with outputs that typically lack transparency and interpretability. The difficulties arise...
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Pattern discovery and disentanglement on relational datasets
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TN_cdi_doaj_primary_oai_doaj_org_article_64083eccb74443dabb0c1fcdff51dc8b
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_64083eccb74443dabb0c1fcdff51dc8b
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-021-84869-4
