Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

34431 - 34440 von 34707

	34431	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
	34432	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
	34433	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
	34434	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
	34435	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
	34436	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
	34437	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
	34438	Using Machine Learning to Score Multi-Dimensional Assessments of Chemistry and Physics Enthalten in Journal of science education and technology Bd. 30, 26.3.2021, Nr. 2, date:4.2021: 239-254
	34439	Using machine learning to simultaneously quantify multiple cognitive components of episodic memory Enthalten in Nature Communications Bd. 16, 24.3.2025, Nr. 1, date:12.2025: 1-14
	34440	Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene expression in the developing C. elegans embryo Enthalten in BMC bioinformatics Bd. 11, 11.2.2010, Nr. 1, date:12.2010: 1-13