Katalog der Deutschen Nationalbibliothek

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

35511 - 35520 von 35813

	35511	Using Machine Learning to Measure Relatedness Between Genes: A Multi-Features Model Enthalten in Scientific reports Bd. 9, 12.3.2019, Nr. 1, date:12.2019: 1-15
	35512	Using machine learning to mine mental health diagnostic groups from emergency department presentations before and during the COVID-19 pandemic Enthalten in Discover mental health Bd. 3, 6.11.2023, Nr. 1, date:12.2023: 1-22
	35513	Using machine learning to predict artistic styles: an analysis of trends and the research agenda Enthalten in Artificial intelligence review Bd. 57, 15.4.2024, Nr. 5, date:5.2024: 1-66
	35514	Using machine learning to predict deterioration of symptoms in COPD patients within a telemonitoring program Enthalten in Scientific reports Bd. 15, 27.2.2025, Nr. 1, date:12.2025: 1-12
	35515	Using machine learning to predict factors affecting academic performance: the case of college students on academic probation Enthalten in Education and information technologies Bd. 28, 10.3.2023, Nr. 10, date:10.2023: 12407-12432
	35516	Using machine learning to predict five-year transplant-free survival among infants with hypoplastic left heart syndrome Enthalten in Scientific reports Bd. 14, 24.2.2024, Nr. 1, date:12.2024: 1-9
	35517	Using machine learning to predict habitat suitability of sloth bears at multiple spatial scales Enthalten in Ecological Processes Bd. 10, 29.6.2021, Nr. 1, date:12.2021: 1-12
	35518	Using machine learning to predict individual patient toxicities from cancer treatments Enthalten in Supportive care in cancer Bd. 30, 25.5.2022, Nr. 9, date:9.2022: 7397-7406
	35519	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
	35520	Using machine learning to predict nosocomial infections and medical accidents in a NICU Enthalten in Health and Technology Bd. 13, 17.1.2023, Nr. 1, date:1.2023: 75-87