Results 41 to 50 of about 14,505 (295)
Uncertainty of Counterfactuals in Deep Learning
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021 Counterfactuals have become a useful tool for explainable Artificial Intelligence (XAI). Counterfactuals provide various perturbations to a data instance to yield an alternate classification from a machine learning model.
Katherine Elizabeth Brown +2 more
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Advances in Mechanical Engineering, 2018 This article investigates uncertainty analysis for system with aleatory and epistemic uncertainties and defines a sensitivity analysis indicator to measure the effect of imprecise parameter with epistemic uncertainty on system output, and an efficient ...
Shun Li, Zhang-Chun Tang
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Rethinking Aleatoric and Epistemic Uncertainty
CoRRPublished at ICML ...
Bickford Smith, F +5 more
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A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement [PDF]
, 2022 Neural networks are ubiquitous in many tasks, but trusting their predictions is an open issue. Uncertainty quantification is required for many applications, and disentangled aleatoric and epistemic uncertainties are best.
Valdenegro-Toro, Matias; id_orcid +2 more
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Questions and epistemic stance: Some examples from Italian conversations
Ampersand, 2018 Through the analysis of presuppositions, question design, social action and preference organisation in short fragments of Italian question-answer sequences, this paper aims to show that (1) wh-questions, on the one hand, and alternative and polar ...
Ramona Bongelli +3 more
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Hydrology Research, 2020 Green roofs (GRs) are well known for source control of runoff quantity in sustainable urban stormwater management. By considering the inherent randomness of rainfall characteristics, this study derives the probability distribution of rainfall retention ...
Lingwan You +2 more
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PLoS ONE, 2022 The two studies presented in this paper concern the Italian epistemic marker mi sa [lit. to me it knows], which seems to have no equivalent in other European languages and has received very little attention in the literature.
Ilaria Riccioni +3 more
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Uncertainty Phobia and Epistemic Forbearance in a Pandemic
Royal Institute of Philosophy Supplement, 2022 AbstractIn this chapter I show how challenges to our ability to tame the uncertainty of a pandemic leaves us vulnerable to uncertainty phobia. This is because, contrary to what we might hope, not all the uncertainty that matters can be tamed by our knowledge of the relevant probabilities.
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Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Advanced Materials, EarlyView.Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source
Epistemological gaps in medical education: a bibliometric and criticalanalysis of contemporary academic discourse [PDF]
Revista de Știinţe EducaţieiContemporary medical education is shaped by imperatives of efficiency, measurability and standardisation, often to the detriment of epistemological reflection. This study investigates how epistemological themes—critical reflection, uncertainty, epistemic
Radu-Mihai DUMITRESCU
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