output
20182023
most citedA Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME

805 citations

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stat.ML2023★ 805 cited

A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME

Ahmed Salih, Zahra Raisi-Estabragh, Ilaria Boscolo Galazzo +4

eXplainable artificial intelligence (XAI) methods have emerged to convert the black box of machine learning (ML) models into a more digestible form. These methods help to communica…

stat.ML2023★ 25 cited

Characterizing the contribution of dependent features in XAI methods

Ahmed Salih, Ilaria Boscolo Galazzo, Zahra Raisi-Estabragh +3

Explainable Artificial Intelligence (XAI) provides tools to help understanding how the machine learning models work and reach a specific outcome. It helps to increase the interpret…