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Found 3 papers, 1 papers with code
Enabling Synthetic Data adoption in regulated domains
From a prescriptive viewpoint, eventually, DAISYnt may pave the way to synthetic data adoption in highly regulated domains, ranging from Finance to Healthcare, through Insurance and Education.
Explanations of Machine Learning predictions: a mandatory step for its application to Operational Processes
Recently, also machine and deep learning techniques have been applied to the CRM task, showing an important increase in prediction quality and performances.
Statistical stability indices for LIME: obtaining reliable explanations for Machine Learning models
We test LIME on the Machine Learning algorithm and check its stability.
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