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Ergebnis der Suche nach: "Machine Learning"
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32891 - 32900 von 33363

	32891	User structural information in priority-based ranking for top-N recommendation Enthalten in Advances in computational intelligence Bd. 3, 6.1.2023, Nr. 1, date:2.2023: 1-16
	32892	User training for machine learning controlled upper limb prostheses: a serious game approach Enthalten in Journal of neuroEngineering and rehabilitation Bd. 18, 12.2.2021, Nr. 1, date:12.2021: 1-15
	32893	Using a cohort study of diabetes and peripheral artery disease to compare logistic regression and machine learning via random forest modeling Enthalten in BMC medical research methodology Bd. 22, 23.11.2022, Nr. 1, date:12.2022: 1-10
	32894	Using a machine learning approach to identify key prognostic molecules for esophageal squamous cell carcinoma Enthalten in BMC cancer Bd. 21, 9.8.2021, Nr. 1, date:12.2021: 1-11
	32895	Using a Machine Learning Methodology to Analyze Reddit Posts regarding Child Feeding Information Enthalten in Journal of child and family studies Bd. 30, 27.2.2021, Nr. 5, date:5.2021: 1290-1298
	32896	Using a multi-staged strategy based on machine learning and mathematical modeling to predict genotype-phenotype risk patterns in diabetic kidney disease: a prospective case–control cohort analysis Enthalten in BMC nephrology Bd. 14, 23.7.2013, Nr. 1, date:12.2013: 1-9
	32897	Using a robust model to detect the association between anthropometric factors and T2DM: machine learning approaches Enthalten in BMC medical informatics and decision making Bd. 25, 31.1.2025, Nr. 1, date:12.2025: 1-10
	32898	Using a Sociotechnical Model to Understand Challenges with Sepsis Recognition among Critically Ill Infants Enthalten in ACI Open Bd. 06, 2022, Nr. 02: e57-e65
	32899	Using acoustic emission signal analysis and machine learning algorithms for predicting mechanical hardness in laser directed energy deposition parts Enthalten in The international journal of advanced manufacturing technology Bd. 138, 28.5.2025, Nr. 9-10, date:6.2025: 4455-4474
	32900	Using alcohol consumption diary data from an internet intervention for outcome and predictive modeling: a validation and machine learning study Enthalten in BMC medical research methodology Bd. 20, 11.5.2020, Nr. 1, date:12.2020: 1-9

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