MonoNet: enhancing interpretability in neural networks via monotonic features

MOTIVATION: Being able to interpret and explain the predictions made by a machine learning model is of fundamental importance. Unfortunately, a trade-off between accuracy and interpretability is often observed. As a result, the interest in developing more transparent yet powerful models has grown co...

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Detalles Bibliográficos
Autores principales: Nguyen, An-Phi, Moreno, Dana Lea, Le-Bel, Nicolas, Rodríguez Martínez, María
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10152389/
https://www.ncbi.nlm.nih.gov/pubmed/37143924
http://dx.doi.org/10.1093/bioadv/vbad016

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10152389/
https://www.ncbi.nlm.nih.gov/pubmed/37143924
http://dx.doi.org/10.1093/bioadv/vbad016

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