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LINA: A Linearizing Neural Network Architecture for Accurate First-Order and Second-Order Interpretations
While neural networks can provide high predictive performance, it was a challenge to identify the salient features and important feature interactions used for their predictions. This represented a key hurdle for deploying neural networks in many biomedical applications that require interpretability,...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9032252/ https://www.ncbi.nlm.nih.gov/pubmed/35462722 http://dx.doi.org/10.1109/access.2022.3163257 |