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Ergebnis der Suche nach: "Machine Learning"
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15921 - 15930 von 16964

	15921	Screening risk factors for the occurrence of wedge effects in intramedullary nail fixation for intertrochanteric fractures in older people via machine learning and constructing a prediction model: a retrospective study Enthalten in BMC musculoskeletal disorders Bd. 26, 22.4.2025, Nr. 1, date:12.2025: 1-13
	15922	Screening Smarter, Not Harder: A Comparative Analysis of Machine Learning Screening Algorithms and Heuristic Stopping Criteria for Systematic Reviews in Educational Research Enthalten in Educational psychology review Bd. 36, 8.2.2024, Nr. 1, date:3.2024: 1-30
	15923	SDePER: a hybrid machine learning and regression method for cell-type deconvolution of spatial barcoding-based transcriptomic data Enthalten in Genome biology Bd. 25, 14.10.2024, Nr. 1, date:12.2024: 1-28
	15924	Sea level variability and modeling in the Gulf of Guinea using supervised machine learning Enthalten in Scientific reports Bd. 13, 3.12.2023, Nr. 1, date:12.2023: 1-22
	15925	Sea-surface pCO2 maps for the Bay of Bengal based on advanced machine learning algorithms Enthalten in Scientific data Bd. 11, 13.4.2024, Nr. 1, date:12.2024: 1-12
	15926	Search-based fairness testing for regression-based machine learning systems Enthalten in Empirical software engineering Bd. 27, 30.3.2022, Nr. 3, date:5.2022: 1-36
	15927	Seasonal antigenic prediction of influenza A H3N2 using machine learning Enthalten in Nature Communications Bd. 15, 7.5.2024, Nr. 1, date:12.2024: 1-12
	15928	Seasonal pigment fluctuation in diploid and polyploid Arabidopsis revealed by machine learning-based phenotyping method PlantServation Enthalten in Nature Communications Bd. 14, 22.9.2023, Nr. 1, date:12.2023: 1-16
	15929	Seasonality of acute kidney injury phenotypes in England: an unsupervised machine learning classification study of electronic health records Enthalten in BMC nephrology Bd. 24, 9.8.2023, Nr. 1, date:12.2023: 1-9
	15930	Seasonally adjusted laboratory reference intervals to improve the performance of machine learning models for classification of cardiovascular diseases Enthalten in BMC medical informatics and decision making Bd. 24, 4.3.2024, Nr. 1, date:12.2024: 1-11

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