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Evaluation methodology for disentangled uncertainty quantification on regression models

The European Symposium on Artificial Neural Networks
The lack of an acceptable confidence level associated with the predictions of Machine Learning (ML) models may inhibit their deployment and usage. A practical way to avoid this drawback is to enhance these predictions with trustworthiness and risk-aware ...
Kevin Pasini   +4 more
semanticscholar   +1 more source

Robust queueing theory: an initial study using imprecise probabilities

Queueing systems, 2015
S. Lopatatzidis   +4 more
semanticscholar   +1 more source

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