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Article dans une revue IEEE Signal Processing Letters Année : 2023

Interpreting the Contribution of Sensors in Blind Source Extraction by Means of Shapley Values

Résumé

Several practical applications can be formulated as a problem of estimating a source of interest from a set of mixed data collected by different sensors. Although a lot of effort has been done to address the optimization task in signal extraction, there is a lack in the literature on how to evaluate the contribution of each sensor in the extraction process. In this letter, we propose a model-agnostic approach that can be used to interpret both the contribution of each sensor in the estimated source and the interaction effects between them. Our proposal is based on a solution concept from game theory, called Shapley value. Numerical experiments on synthetic and real data attest the use of our proposal in blind source extraction problems.
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Dates et versions

halshs-04356790, version 1 (20-12-2023)

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Guilherme Pelegrina, Leonardo Duarte, Michel Grabisch. Interpreting the Contribution of Sensors in Blind Source Extraction by Means of Shapley Values. IEEE Signal Processing Letters, 2023, 30, pp.878-882. ⟨10.1109/LSP.2023.3295759⟩. ⟨halshs-04356790⟩
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