7 citations · 12 across the 7 of their papers we have counts for
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physics.ins-det2025★ 5 cited
A machine learning approach to automation and uncertainty evaluation for self-validating thermocouples
Samuel Bilson, Andrew Thompson, Declan Tucker +1
Thermocouples are in widespread use in industry, but they are particularly susceptible to calibration drift in harsh environments. Self-validating thermocouples aim to address this…
cs.LG2025★ 7 cited
A metrological framework for uncertainty evaluation in machine learning classification models
Samuel Bilson, Maurice Cox, Anna Pustogvar +1
Machine learning (ML) classification models are increasingly being used in a wide range of applications where it is important that predictions are accompanied by uncertainties, inc…