LAUSR

Interpretable Ensembles of Classifiers for Uncertain Data with Bioinformatics Applications.

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1 Published in 2022 at "IEEE/ACM transactions on computational biology and bioinformatics"

DOI: 10.1109/tcbb.2022.3218588

Abstract: Data uncertainty remains a challenging issue in many applications, but few classification algorithms can effectively cope with it. An ensemble approach for uncertain categorical features has recently been proposed, achieving promising results. It consists in… read more here.

Keywords: interpretable ensembles; classifiers uncertain; bioinformatics applications; data bioinformatics ... See more keywords