Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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16371 - 16380 von 16533

	16371	Using machine learning to predict links and improve Steiner tree solutions to team formation problems - a cross company study Enthalten in Applied network science Bd. 5, 27.8.2020, Nr. 1, date:12.2020: 1-19
	16372	Using machine learning to predict outcomes following transcarotid artery revascularization Enthalten in Scientific reports Bd. 15, 31.1.2025, Nr. 1, date:12.2025: 1-18
	16373	Using machine learning to predict processes and morphometric features of watershed Enthalten in Scientific reports Bd. 13, 25.5.2023, Nr. 1, date:12.2023: 1-17
	16374	Using machine learning to predict protein–protein interactions between a zombie ant fungus and its carpenter ant host Enthalten in Scientific reports Bd. 13, 24.8.2023, Nr. 1, date:12.2023: 1-16
	16375	Using Machine Learning to Predict Sensorineural Hearing Loss Based on Perilymph Micro RNA Expression Profile Enthalten in Scientific reports Bd. 9, 4.3.2019, Nr. 1, date:12.2019: 1-11
	16376	Using machine learning to predict student retention from socio-demographic characteristics and app-based engagement metrics Enthalten in Scientific reports Bd. 13, 7.4.2023, Nr. 1, date:12.2023: 1-16
	16377	Using machine learning to predict subsequent events after EMS non-conveyance decisions Enthalten in BMC medical informatics and decision making Bd. 22, 23.6.2022, Nr. 1, date:12.2022: 1-12
	16378	Using machine learning to predict the probability of incident 2-year depression in older adults with chronic diseases: a retrospective cohort study Enthalten in BMC psychiatry Bd. 24, 2.12.2024, Nr. 1, date:12.2024: 1-11
	16379	Using machine learning to predict the risk of short-term and long-term death in acute kidney injury patients after commencing CRRT Enthalten in BMC nephrology Bd. 25, 30.7.2024, Nr. 1, date:12.2024: 1-10
	16380	Using machine learning to predict venous thromboembolism and major bleeding events following total joint arthroplasty Enthalten in Scientific reports Bd. 13, 7.2.2023, Nr. 1, date:12.2023: 1-11