Validating Explainer Methods: A Functionally Grounded Approach for Numerical Forecasting
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DOI: 10.1002/for.70060
Abstract: Forecasting systems have a long tradition in providing outputs accompanied by explanations. While the vast majority of such explanations relies on inherently interpretable linear statistical models, research has put forth eXplainable Artificial Intelligence (XAI) methods… read more here.
Keywords: numerical forecasting; explainer methods; research; methods functionally ... See more keywords