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13661 - 13670 von 14060

	13661	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
	13662	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
	13663	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
	13664	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
	13665	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
	13666	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
	13667	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
	13668	Uncovering cancer vulnerabilities by machine learning prediction of synthetic lethality Enthalten in Molecular cancer Bd. 20, 28.8.2021, Nr. 1, date:12.2021: 1-22
	13669	Uncovering Chronic Conditions using Featured-based Clustering Approach Enthalten in International journal of information technology Bd. 17, 19.3.2025, Nr. 4, date:5.2025: 2221-2228
	13670	Uncovering doubly charged scalars with dominant three-body decays using machine learning Enthalten in Journal of high energy physics Bd. 2023, 2.11.2023, Nr. 11, date:11.2023: 1-30

13661 - 13670 von 14060

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