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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2023
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| Materias: | |
| 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 |