Building Uncertainty Models on Top of Black-Box Predictive APIs by Axel Brando, Clara Torres-Latorre, Jose A. Rodriguez-Serrano, Jordi Vitria

Subjects: “…Aleatoric uncertainty…”
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A Novel Computational Instrument Based on a Universal Mixture Density Network with a Gaussian Mixture Model as a Backbone for Predicting COVID-19 Variants’ Distributions by Yas Al-Hadeethi, Intesar F. El Ramley, Hiba Mohammed, Nada M. Bedaiwi, Abeer Z. Barasheed

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Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting by Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor

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Probabilistic Neural Networks (PNNs) for Modeling Aleatoric Uncertainty in Scientific Machine Learning by Farhad Pourkamali-Anaraki, Jamal F. Husseini, Scott E. Stapleton

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Incorporating Aleatoric Uncertainties in Lake Ice Mapping Using RADARSAT–2 SAR Images and CNNs by Nastaran Saberi, Katharine Andrea Scott, Claude Duguay

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Fuel performance uncertainty quantification and sensitivity analysis in the presence of epistemic and aleatoric sources of uncertainties by Quentin Faure, Gregory Delipei, Alessandro Petruzzi, Maria Avramova, Kostadin Ivanov

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