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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Scientific Publishers
2023
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| Materias: | |
| 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 |