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Graph-Powered Interpretable Machine Learning Models for Abnormality Detection in Ego-Things Network
In recent days, it is becoming essential to ensure that the outcomes of signal processing methods based on machine learning (ML) data-driven models can provide interpretable predictions. The interpretability of ML models can be defined as the capability to understand the reasons that contributed to...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8953755/ https://www.ncbi.nlm.nih.gov/pubmed/35336431 http://dx.doi.org/10.3390/s22062260 |