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Ergebnis der Suche nach: "Machine Learning"
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15441 - 15450 von 16724
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Artikel 15441 Rapid identification of tumor patients with PG-SGA ≥ 4 based on machine learning: a prospective study
Enthalten in BMC cancer Bd. 25, 20.5.2025, Nr. 1, date:12.2025: 1-12
Online Ressource
Artikel 15442 Rapid inverse design of metamaterials based on prescribed mechanical behavior through machine learning
Enthalten in Nature Communications Bd. 14, 18.9.2023, Nr. 1, date:12.2023: 1-11
Online Ressource
Artikel 15443 Rapid Post-Wildfire Burned Vegetation Assessment with Google Earth Engine (Case Study: 2023 Canada Wildfires)
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-3/W3-2024, 2024: 45-53. 9 S.
Online Ressource
Artikel 15444 Rapid traversal of vast chemical space using machine learning-guided docking screens
Enthalten in Nature computational science Bd. 5, 13.3.2025, Nr. 4, date:4.2025: 301-312
Online Ressource
Artikel 15445 Rapid triage for ischemic stroke: a machine learning-driven approach in the context of predictive, preventive and personalised medicine
Enthalten in European Association for Predictive, Preventive and Personalised Medicine: The EPMA journal Bd. 13, 27.5.2022, Nr. 2, date:6.2022: 285-298
Online Ressource
Artikel 15446 Rates of convergence for regression with the graph poly-Laplacian
Enthalten in Sampling theory, signal processing, and data analysis Bd. 21, 27.11.2023, Nr. 2, date:12.2023: 1-40
Online Ressource
Artikel 15447 RCC-Supporter: supporting renal cell carcinoma treatment decision-making using machine learning
Enthalten in BMC medical informatics and decision making Bd. 24, 16.9.2024, Nr. 2, date:4.2024: 1-15
Online Ressource
Artikel 15448 Re-assessing accuracy degradation: a framework for understanding DNN behavior on similar-but-non-identical test datasets
Enthalten in Machine learning Bd. 114, 14.2.2025, Nr. 3, date:3.2025: 1-22
Online Ressource
Artikel 15449 Re-evaluation of publicly available gene-expression databases using machine-learning yields a maximum prognostic power in breast cancer
Enthalten in Scientific reports Bd. 13, 5.10.2023, Nr. 1, date:12.2023: 1-14
Online Ressource
Artikel 15450 Re-investigation of functional gastrointestinal disorders utilizing a machine learning approach
Enthalten in BMC medical informatics and decision making Bd. 23, 26.8.2023, Nr. 1, date:12.2023: 1-12
Online Ressource


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