Katalog der Deutschen Nationalbibliothek

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

38541 - 38550 von 38746

	38541	Validation of a Natural Language Machine Learning Model for Safety Literature Surveillance Enthalten in Drug safety Bd. 47, 8.11.2023, Nr. 1, date:1.2024: 71-80
	38542	Validation of machine learning models for estimation of left ventricular ejection fraction on point-of-care ultrasound: insights on features that impact performance Enthalten in Echo Research and Practice Bd. 11, 28.3.2024, Nr. 1, date:12.2024: 1-10
	38543	Validation of machine learning models to detect amyloid pathologies across institutions Enthalten in Acta Neuropathologica Communications Bd. 8, 28.4.2020, Nr. 1, date:12.2020: 1-13
	38544	Validation of syncope short-term outcomes prediction by machine learning models in an Italian emergency department cohort Enthalten in Internal and emergency medicine Bd. 20, 16.7.2025, Nr. 5, date:8.2025: 1597-1605
	38545	Validation of the Toronto recurrence inference using machine-learning for post-transplant hepatocellular carcinoma model Enthalten in Communications medicine Bd. 5, 9.7.2025, Nr. 1, date:12.2025: 1-9
	38546	Validity of Machine Learning in Assessing Large Texts Through Sustainability Indicators Enthalten in Social indicators research Bd. 166, 26.1.2023, Nr. 2, date:4.2023: 323-337
	38547	Value and limitations of machine learning in high-frequency nutrient data for gap-filling, forecasting, and transport process interpretation Enthalten in Environmental monitoring and assessment Bd. 195, 27.6.2023, Nr. 7, date:7.2023: 1-18
	38548	Value of Geologically Derived Features in Machine Learning Facies Classification Enthalten in Mathematical geosciences Bd. 52, 16.11.2019, Nr. 1, date:1.2020: 5-29
	38549	Value of machine learning in predicting TAVI outcomes Enthalten in Netherlands heart journal Bd. 27, 20.5.2019, Nr. 9, date:9.2019: 443-450
	38550	Values and inductive risk in machine learning modelling: the case of binary classification models Enthalten in European journal for philosophy of science Bd. 11, 26.10.2021, Nr. 4, date:12.2021: 1-27