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Ergebnis der Suche nach: "Machine Learning"
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11801 - 11810 von 12149
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Artikel 11801 Ultrasound-based nomogram to predict the recurrence in papillary thyroid carcinoma using machine learning
Enthalten in BMC cancer Bd. 24, 7.7.2024, Nr. 1, date:12.2024: 1-13
Online Ressource
Artikel 11802 Ultrasound-based radiomics machine learning models for diagnosing cervical lymph node metastasis in patients with non-small cell lung cancer: a multicentre study
Enthalten in BMC cancer Bd. 24, 27.4.2024, Nr. 1, date:12.2024: 1-11
Online Ressource
Artikel 11803 Unbiased identification of risk factors for invasive Escherichia coli disease using machine learning
Enthalten in BMC infectious diseases Bd. 24, 8.8.2024, Nr. 1, date:12.2024: 1-12
Online Ressource
Artikel 11804 Unbinned multivariate observables for global SMEFT analyses from machine learning
Enthalten in Journal of high energy physics Bd. 2023, 6.3.2023, Nr. 3, date:3.2023: 1-66
Online Ressource
Artikel 11805 Unboxing machine learning models for concrete strength prediction using XAI
Enthalten in Scientific reports Bd. 13, 14.11.2023, Nr. 1, date:12.2023: 1-20
Online Ressource
Artikel 11806 Uncertainty-aware mixed-variable machine learning for materials design
Enthalten in Scientific reports Bd. 12, 17.11.2022, Nr. 1, date:12.2022: 1-13
Online Ressource
Artikel 11807 Uncertainty-Based Performance Prediction and Optimization of High-Fluidization Cement Grouting Material Using Machine Learning and Bayesian Inference
Enthalten in International journal of concrete structures and materials Bd. 16, 7.12.2022, Nr. 1, date:12.2022: 1-15
Online Ressource
Artikel 11808 Uncertainty quantification for probabilistic machine learning in earth observation using conformal prediction
Enthalten in Scientific reports Bd. 14, 13.7.2024, Nr. 1, date:12.2024: 1-13
Online Ressource
Artikel 11809 Unconfined compressive strength prediction of rock materials based on machine learning
Enthalten in Journal of engineering and applied science Bd. 71, 19.6.2024, Nr. 1, date:12.2024: 1-32
Online Ressource
Artikel 11810 Uncovering cancer vulnerabilities by machine learning prediction of synthetic lethality
Enthalten in Molecular cancer Bd. 20, 28.8.2021, Nr. 1, date:12.2021: 1-22
Online Ressource


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