MH-AutoML is a domain-specific AutoML framework for Android malware detection that combines automated modeling with built-in interpretability, and its evaluation shows competitive recall and higher transparency scores than seven general-purpose tools.
Machine learning interpretability: A survey on methods and metrics,
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Interpretable by Design: MH-AutoML for Transparent and Efficient Android Malware Detection without Compromising Performance
MH-AutoML is a domain-specific AutoML framework for Android malware detection that combines automated modeling with built-in interpretability, and its evaluation shows competitive recall and higher transparency scores than seven general-purpose tools.