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• W4384284068 abstract "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." @default.
• W4384284068 created "2023-07-15" @default.
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• W4384284068 date "2023-01-01" @default.
• W4384284068 modified "2023-10-18" @default.
• W4384284068 title "Interpreting the contribution of sensors in blind source extraction by means of Shapley values" @default.
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• W4384284068 doi "https://doi.org/10.1109/lsp.2023.3295759" @default.
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