Modelling Model Uncertainties Ontologically
Complex systems are full of unpredictable and uncertain behaviours that depend on many factors. Various fields of science have set themselves the task of studying these systems and predicting their behaviour under various premises with the help of computer models. Kwakkel et al.
Stappel, Mirjam +3 more
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Robust adaptive control with lumped model uncertainty and wind disturbance estimation for airship trajectory tracking. [PDF]
Wasim M +4 more
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Impact of deep learning model uncertainty on manual corrections to MRI-based auto-segmentation in prostate cancer radiotherapy. [PDF]
Rogowski V +14 more
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An overview of model uncertainty and variability in LLM-based sentiment analysis: challenges, mitigation strategies, and the role of explainability. [PDF]
Herrera-Poyatos D +6 more
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Welfare Cost of Model Uncertainty in a Small Open Economy. [PDF]
Tapia Stefanoni J.
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Overcoming Model Uncertainty - How Equivalence Tests Can Benefit From Model Averaging. [PDF]
Hagemann N, Möllenhoff K.
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Sensitivity analysis of railway balise information transmission module with both degradation and model uncertainty. [PDF]
Li Z, Zhang Y, Liu J, Cai B, Lu D.
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Large language model uncertainty proxies: discrimination and calibration for medical diagnosis and treatment. [PDF]
Savage T +7 more
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Model uncertainty, political contestation, and public trust in science: Evidence from the COVID-19 pandemic. [PDF]
Kreps SE, Kriner DL.
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Evaluation of model uncertainty in AI-based synthetic CT generation from CBCT for abdominal adaptive radiotherapy. [PDF]
Quintero P +3 more
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