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Ergebnis der Suche nach: "Machine Learning"
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Artikel 26771 Unbiased identification of risk factors for invasive Escherichia coli disease using machine learning
Enthalten in BMC infectious diseases Bd. 24, 8.8.2024, Nr. 1, date:12.2024: 1-12
Online Ressource
Artikel 26772 Unbinned multivariate observables for global SMEFT analyses from machine learning
Enthalten in Journal of high energy physics Bd. 2023, 6.3.2023, Nr. 3, date:3.2023: 1-66
Online Ressource
Artikel 26773 Unboxing machine learning models for concrete strength prediction using XAI
Enthalten in Scientific reports Bd. 13, 14.11.2023, Nr. 1, date:12.2023: 1-20
Online Ressource
Artikel 26774 Uncertainty Assessment of Surface Water Salinity Using Standalone, Ensemble, and Deep Machine Learning Methods: A Case Study of Lake Urmia
Enthalten in Iranian journal of science and technology / Transactions of civil engineering Bd. 48, 2.3.2024, Nr. 2, date:4.2024: 1029-1047
Online Ressource
Artikel 26775 Uncertainty-aware approach for multiple imputation using conventional and machine learning models: a real-world data study
Enthalten in Journal of Big Data Bd. 12, 17.4.2025, Nr. 1, date:12.2025: 1-28
Online Ressource
Artikel 26776 Uncertainty-aware estimation of population abundance using machine learning
Enthalten in Multimedia systems Bd. 22, 3.9.2015, Nr. 6, date:11.2016: 737-749
Online Ressource
Artikel 26777 Uncertainty-aware mixed-variable machine learning for materials design
Enthalten in Scientific reports Bd. 12, 17.11.2022, Nr. 1, date:12.2022: 1-13
Online Ressource
Artikel 26778 Uncertainty-Based Performance Prediction and Optimization of High-Fluidization Cement Grouting Material Using Machine Learning and Bayesian Inference
Enthalten in International journal of concrete structures and materials Bd. 16, 7.12.2022, Nr. 1, date:12.2022: 1-15
Online Ressource
Artikel 26779 Uncertainty quantification for probabilistic machine learning in earth observation using conformal prediction
Enthalten in Scientific reports Bd. 14, 13.7.2024, Nr. 1, date:12.2024: 1-13
Online Ressource
Artikel 26780 Unconfined compressive strength prediction of rock materials based on machine learning
Enthalten in Journal of engineering and applied science Bd. 71, 19.6.2024, Nr. 1, date:12.2024: 1-32
Online Ressource


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