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Neuigkeiten Dienstag 9. Dezember 2025: Die Lesesäle der Deutschen Nationalbibliothek in Leipzig öffnen wegen einer Personalversammlung erst ab 13 Uhr. // Tuesday 9 December 2025: The reading rooms of the German National Library in Leipzig will open at 13:00 due to a staff assembly.
 
 
 


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Artikel 511 Survival prediction models since liver transplantation - comparisons between Cox models and machine learning techniques
Enthalten in BMC medical research methodology Bd. 20, 16.11.2020, Nr. 1, date:12.2020: 1-14
Online Ressource
Artikel 512 Survival prediction of glioblastoma patients using modern deep learning and machine learning techniques
Enthalten in Scientific reports Bd. 14, 29.1.2024, Nr. 1, date:12.2024: 1-12
Online Ressource
Artikel 513 Symptom clusters among cancer survivors: what can machine learning techniques tell us?
Enthalten in BMC medical research methodology Bd. 21, 16.8.2021, Nr. 1, date:12.2021: 1-12
Online Ressource
Artikel 514 Synergistic integration of Multi-View Brain Networks and advanced machine learning techniques for auditory disorders diagnostics
Enthalten in Brain Informatics Bd. 11, 14.1.2024, Nr. 1, date:12.2024: 1-13
Online Ressource
Artikel 515 Synergizing quantum techniques with machine learning for advancing drug discovery challenge
Enthalten in Scientific reports Bd. 14, 28.12.2024, Nr. 1, date:12.2024: 1-12
Online Ressource
Artikel 516 Texture feature analysis of MRI-ADC images to differentiate glioma grades using machine learning techniques
Enthalten in Scientific reports Bd. 13, 22.9.2023, Nr. 1, date:12.2023: 1-15
Online Ressource
Artikel 517 The application of machine learning techniques in posttraumatic stress disorder: a systematic review and meta-analysis
Enthalten in npj digital medicine Bd. 7, 9.5.2024, Nr. 1, date:12.2024: 1-13
Online Ressource
Artikel 518 The atmospheric boundary layer: a review of current challenges and a new generation of machine learning techniques
Enthalten in Artificial intelligence review Bd. 57, 17.10.2024, Nr. 12, date:12.2024: 1-51
Online Ressource
Artikel 519 The effect of resampling techniques on the performances of machine learning clinical risk prediction models in the setting of severe class imbalance: development and internal validation in a retrospective cohort
Enthalten in Discover artificial intelligence Bd. 4, 26.11.2024, Nr. 1, date:12.2024: 1-17
Online Ressource
Artikel 520 The effectiveness of data pre-processing methods on the performance of machine learning techniques using RF, SVR, Cubist and SGB: a study on undrained shear strength prediction
Enthalten in Stochastic environmental research and risk assessment Bd. 38, 13.6.2024, Nr. 8, date:8.2024: 3273-3290
Online Ressource


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