UbiQTree: Uncertainty quantification in XAI with tree ensembles [PDF]
PatternsSummary: Explainable artificial intelligence (XAI) techniques, particularly Shapley additive explanations (SHAP), are essential for interpreting ensemble tree-based models in critical areas such as healthcare.
Akshat Dubey +3 more
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Numerical approach for quantification of epistemic uncertainty
Journal of Computational Physics, 2010 The authors consider solutions \(u\) of an initial-boundary value problem for a partial differential equation which depends on a set \(Z\) of some random variables (parameters). A methodology is proposed for the analysis of uncertainty in the values of \(u\) at a given space-time point.
John D Jakeman +2 more
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Benchmarking the performance of uncertainty quantification methods for neural network-based interatomic potentials [PDF]
Journal of CheminformaticsMachine-learned interatomic potentials (ML-IAPs) continue to gain popularity as accurate, computationally efficient replacements for traditional, physics-based interatomic potentials and expensive ab initio methods.
Nicholas T. Wimer +3 more
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Implicit versus explicit Bayesian priors for epistemic uncertainty estimation in clinical decision support. [PDF]
PLOS Digital HealthDeep learning models offer transformative potential for personalized medicine by providing automated, data-driven support for complex clinical decision-making.
Malte Blattmann +4 more
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Bayesian optimization for uncertainty-aware prediction of rainfall-induced deformation in embankment dams [PDF]
Scientific ReportsReliable early warning of embankment dam failure requires predictive models that are accurate, physically consistent, and uncertainty-calibrated. This study proposes a hybrid physics-informed Bayesian deep learning framework integrating coupled u-p Biot ...
Mohammed Nasser +5 more
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“This Is What We Don't Know”: Treating Epistemic Uncertainty in Bayesian Networks for Risk Assessment [PDF]
Integrated Environmental Assessment and Management, 2021 Ullrika Sahlin +2 more
exaly +2 more sources
Towards a more reliable assessment of aortic diameters using a Bayesian Z-score [PDF]
Scientific ReportsThe Z-score is a conceptually simple and widely adopted standard for assessing aortic dilatation from echocardiographic measurements. It is routinely used to monitor patient progression and schedule follow-up checks. However, several criticisms have been
Luca Bindini +7 more
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On the Practicality of Deterministic Epistemic Uncertainty
CoRR, 2021 Proceedings of Machine Learning Research ...
Janis Postels +6 more
openaire +6 more sources
The Epistemics of Populism and the Politics of Uncertainty [PDF]
SSRN Electronic Journal, 2020 This paper discusses epistemic aspects of populism – especially its link with radical uncertainty and the tribal construction of facts – that have so far received relatively little attention. We argue that populism is less a backward-looking phenomenon feeding off existing grievances than a narrative-based reaction to an increasingly unsettled future ...
Bronk, Richard, Jacoby, Wade
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The Italian Epistemic Disclaimer Non so [I Don’t Know] in a Corpus of Gynaecological Interactions
Languages, 2023 Viewing conversations from an epistemic perspective involves analysing how participants navigate their knowledge, handle uncertainty, and address their lack of knowledge.
Ramona Bongelli +2 more
doaj +1 more source