Katalog der Deutschen Nationalbibliothek

Neuigkeiten Servicezeiten in Frankfurt am Main ab 1. Dezember 2025: Montag bis Freitag 9–18 Uhr und Samstag 10–16 Uhr
Service hours in Frankfurt am Main from 1 December 2025: Monday to Friday 9:00-18:00 and Saturday 10:00-16:00
 
Neuigkeiten

Leichte Bedienung, intuitive Suche: Die Betaversion unseres neuen Katalogs ist online! → Zur Betaversion des neuen DNB-Katalogs

 
Neuigkeiten Die Lesesäle für Geisteswissenschaften, Naturwissenschaften, der Alte Lesesaal Technik und der Anne-Frank-Shoah-Lesesaal in Leipzig schließen am 04.02.2026 wegen einer Veranstaltung bereits um 15 Uhr. Die weiteren Lesesäle sowie die Servicetheke sind zu den regulären Zeiten geöffnet. //
The humanities reading room, the natural science reading room, the old technology reading room and the reading room of the Anne-Frank-Shoah-Library will close at 15:00 on 4 February 2026 due to an event. The other reading rooms and the service desk will be open during regular hours.
 
 
 


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

33611 - 33620 von 33833
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Artikel 33611 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
Online Ressource
Artikel 33612 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
Online Ressource
Artikel 33613 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
Online Ressource
Artikel 33614 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
Online Ressource
Artikel 33615 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
Online Ressource
Artikel 33616 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
Online Ressource
Artikel 33617 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
Online Ressource
Artikel 33618 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
Online Ressource
Artikel 33619 Van Krevelen diagrams based on machine learning visualize feedstock-product relationships in thermal conversion processes
Enthalten in Communications chemistry Bd. 6, 13.12.2023, Nr. 1, date:12.2023: 1-11
Online Ressource
Artikel 33620 Vanadiferous titanomagnetite ore rock classifier using machine learning from portable X-ray fluorescence spectra
Enthalten in Environmental earth sciences Bd. 84, 18.6.2025, Nr. 13, date:7.2025: 1-16
Online Ressource


33611 - 33620 von 33833
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