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EXPLORE: A Novel Method for Local Explanations

URN to cite this document:
urn:nbn:de:bvb:355-epub-594698
DOI to cite this document:
10.5283/epub.59469
Heinrich, Bernd ; Krapf, Thomas ; Miethaner, Paul
Date of publication of this fulltext: 05 Nov 2024 05:21



Abstract

Artificial Intelligence (AI) and especially Machine Learning (ML) models are ubiquitous in research, business and society. However, the predictions of many ML models are often not transparent for users due to their black box nature. Therefore, several Explainable AI (XAI) methods aiming to provide local explanations for individual ML model predictions have been proposed. Importantly, existing XAI ...

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