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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Bibliografiske detaljer
Udgivet i:Front Artif Intell
Main Authors: Song, Hoseung, Thiagarajan, Jayaraman J., Kailkhura, Bhavya
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2021
Fag:
Artificial Intelligence
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8223254/
https://ncbi.nlm.nih.gov/pubmed/34179767
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/frai.2021.589632
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