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16661 - 16670 von 17232

	16661	The quest for the reliability of machine learning models in binary classification on tabular data Enthalten in Scientific reports Bd. 13, 27.10.2023, Nr. 1, date:12.2023: 1-11
	16662	The ReadFree tool for the identification of poor readers: a validation study based on a machine learning approach in monolingual and minority-language children Enthalten in Annals of dyslexia Bd. 73, 7.8.2023, Nr. 3, date:10.2023: 356-392
	16663	The regression analysis of dry - wet wear outcomes and materials properties of biodegradable MgCu and MgZn, made by P/M, using machine learning models Enthalten in Applied physics / A / Materials science & processing Bd. 131, 24.3.2025, Nr. 4, date:4.2025: 1-19
	16664	The relative data hungriness of unpenalized and penalized logistic regression and ensemble-based machine learning methods: the case of calibration Enthalten in Diagnostic and prognostic research Bd. 8, 5.11.2024, Nr. 1, date:12.2024: 1-18
	16665	The remarkable potential of machine learning algorithms in estimating water permeability of concrete incorporating nano natural pozzolana Enthalten in Scientific reports Bd. 14, 31.5.2024, Nr. 1, date:12.2024: 1-22
	16666	The risk factors determined by four machine learning methods for the change of difference of bone mineral density in post-menopausal women after three years follow-up Enthalten in Scientific reports Bd. 14, 5.10.2024, Nr. 1, date:12.2024: 1-14
	16667	The Role of Analytics Governance to Promote Health Care Transformation Enthalten in ACI Open Bd. 06, 2022, Nr. 01: e1-e10
	16668	The role of artificial intelligence and machine learning in harmonization of high-resolution post-mortem MRI (virtopsy) with respect to brain microstructure Enthalten in Brain Informatics Bd. 6, 7.3.2019, Nr. 1, date:12.2019: 1-12
	16669	The Role of Artificial Intelligence and Machine Learning in Polymer Characterization: Emerging Trends and Perspectives Enthalten in Chromatographia Bd. 88, 4.4.2025, Nr. 5, date:5.2025: 357-363
	16670	The role of big data management, data registries, and machine learning algorithms for optimizing safe definitive surgery in trauma: a review Enthalten in Patient safety in surgery Bd. 18, 20.6.2024, Nr. 1, date:12.2024: 1-10

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