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Ergebnis der Suche nach: "Machine Learning"
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20161 - 20170 von 20195
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Artikel 20161 Which are best for successful aging prediction? Bagging, boosting, or simple machine learning algorithms?
Enthalten in Biomedical engineering online Bd. 22, 29.8.2023, Nr. 1, date:12.2023: 1-25
Online Ressource
Artikel 20162 Which insulin resistance indices best predict future frailty progression in a cardiovascular-kidney-metabolic syndrome stage 0–3 population: a national prospective cohort and machine learning study
Enthalten in Diabetology & metabolic syndrome Bd. 17, 13.11.2025, Nr. 1, date:12.2025: 1-16
Online Ressource
Artikel 20163 Which surrogate insulin resistance indices best predict coronary artery disease? A machine learning approach
Enthalten in Cardiovascular diabetology Bd. 23, 21.6.2024, Nr. 1, date:12.2024: 1-13
Online Ressource
Artikel 20164 Whole-orbit radiomics: machine learning-based multi- and fused- region radiomics signatures for intravenous glucocorticoid response prediction in thyroid eye disease
Enthalten in Journal of translational medicine Bd. 22, 13.1.2024, Nr. 1, date:12.2024: 1-14
Online Ressource
Artikel 20165 Why and how to construct an epistemic justification of machine learning?
Enthalten in Synthese Bd. 204, 10.8.2024, Nr. 2, date:8.2024: 1-24
Online Ressource
Artikel 20166 Why did individuals seeking COVID-19 advice return to internet hospitals for follow-up in the early pandemic: Insights from machine learning
Enthalten in BMC public health Bd. 25, 10.11.2025, Nr. 1, date:12.2025: 1-16
Online Ressource
Artikel 20167 Why does machine learning work really well in many engineering problems?
Enthalten in Machine learning for computational science and engineering Bd. 1, 20.8.2025, Nr. 2, date:12.2025: 1-13
Online Ressource
Artikel 20168 Wide dynamic range and real-time reagent identification and imaging using multi-wavelength terahertz parametric generation and machine learning
Enthalten in Scientific reports Bd. 13, 7.8.2023, Nr. 1, date:12.2023: 1-8
Online Ressource
Artikel 20169 Wildfire assessment using machine learning algorithms in different regions
Enthalten in Fire ecology Bd. 20, 3.12.2024, Nr. 1, date:12.2024: 1-20
Online Ressource
Artikel 20170 Wildfire Susceptibility Mapping in Karabuk Province, Türkiye Using Machine Learning Algorithms
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-4/W18-2025, 2026: 1-5. 5 S.
Online Ressource


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