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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,...

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Detalles Bibliográficos
Autores principales: BADRÉ, ADRIEN, PAN, CHONGLE
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
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