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...

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Detalles Bibliográficos
Autores principales: Song, Hoseung, Thiagarajan, Jayaraman J., Kailkhura, Bhavya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Artificial Intelligence
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

Internet

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

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