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Preventing Failures by Dataset Shift Detection in Safety-Critical Graph Applications
Dataset shift refers to the problem where the input data distribution may change over time (e.g., between training and test stages). Since this can be a critical bottleneck in several safety-critical applications such as healthcare, drug-discovery, etc., dataset shift detection has become an importa...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8223254/ https://www.ncbi.nlm.nih.gov/pubmed/34179767 http://dx.doi.org/10.3389/frai.2021.589632 |