From local counterfactuals to global feature importance: efficient, robust, and model-agnostic explanations for brain connectivity networks

Background: Explainable artificial intelligence (XAI) is a technology that can enhance trust in mental state classifications by providing explanations for the reasoning behind artificial intelligence (AI) models outputs, especially for high-dimensional and highly-correlated brain signals. Feature im...

Descripción completa

Detalles Bibliográficos
Autores principales: Alfeo, Antonio Luca, Zippo, Antonio G., Catrambone, Vincenzo, Cimino, Mario G.C.A., Toschi, Nicola, Valenza, Gaetano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Scientific Publishers 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232646/
https://www.ncbi.nlm.nih.gov/pubmed/37086584
http://dx.doi.org/10.1016/j.cmpb.2023.107550

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232646/
https://www.ncbi.nlm.nih.gov/pubmed/37086584
http://dx.doi.org/10.1016/j.cmpb.2023.107550

Ejemplares similares