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20172026
most citedDeep learning at the shallow end: Malware classification for non-domain experts

191 citations · 280 across the 37 of their papers we have counts for

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Showing 2023 · cs.LGShow all

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cs.LG2023★ 1 cited

Explaining Knock-on Effects of Bias Mitigation

Svetoslav Nizhnichenkov, Rahul Nair, Elizabeth Daly +1

In machine learning systems, bias mitigation approaches aim to make outcomes fairer across privileged and unprivileged groups. Bias mitigation methods work in different ways and ha…

cs.LG2023

Learning from Exemplary Explanations

Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee

eXplanation Based Learning (XBL) is a form of Interactive Machine Learning (IML) that provides a model refining approach via user feedback collected on model explanations. Although…