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

Autor(es)

Pelegrina, Guilherme D. ; Duarte, Leonardo T. ; Grabisch, Michel

• Tipo de documento: Artigo Científico
• Fonte: IEEE SIGNAL PROCESSING LETTERS; v. 30, p. 5-pg., 2023-01-01.

Resumo

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. (AU)

• Processo FAPESP: 20/09838-0 - BI0S - Brazilian Institute of Data Science
• Beneficiário: João Marcos Travassos Romano
• Modalidade de apoio: Auxílio à Pesquisa - Programa Centros de Pesquisa em Engenharia
• Processo FAPESP: 20/10572-5 - Novas abordagens para lidar com imparcialidade e transparência em problemas de aprendizado de máquina
• Beneficiário: Guilherme Dean Pelegrina
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 21/11086-0 - Interpretabilidade e equidade em aprendizado de máquina: funções baseadas na capacidade e índices de interação
• Beneficiário: Guilherme Dean Pelegrina
• Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Pós-Doutorado