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

19201 - 19210 von 19669
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Artikel 19201 Trustworthy machine learning in the context of security and privacy
Enthalten in International journal of information security Bd. 23, 3.4.2024, Nr. 3, date:6.2024: 2287-2314 		Online Ressource
Artikel 19202 Truthful meta-explanations for local interpretability of machine learning models
Enthalten in Applied intelligence Bd. 53, 30.8.2023, Nr. 22, date:11.2023: 26927-26948 		Online Ressource
Artikel 19203 Tumor Prognostic Risk Model Related to Monocytes/Macrophages in Hepatocellular Carcinoma Based on Machine Learning and Multi-Omics
Enthalten in Biological procedures online Bd. 27, 10.3.2025, Nr. 1, date:12.2025: 1-19 		Online Ressource
Artikel 19204 Tunnel Overbreak Prediction: An Integrated Approach Using 3D Photogrammetry and Machine Learning
Enthalten in Mining, metallurgy & exploration Bd. 42, 17.5.2025, Nr. 3, date:6.2025: 1441-1457 		Online Ressource
Artikel 19205 Twenty-four-hour physical activity patterns associated with depressive symptoms: a cross-sectional study using big data-machine learning approach
Enthalten in BMC public health Bd. 24, 7.5.2024, Nr. 1, date:12.2024: 1-11 		Online Ressource
Artikel 19206 Two Decades of Coastal Development across the Arabian Gulf: Insights from Remote Sensing and Machine Learning
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-G-2025, 2025: 331-338. 8 S. 		Online Ressource
Artikel 19207 Two heads are better than one: current landscape of integrating QSP and machine learning
Enthalten in Journal of pharmacokinetics and pharmacodynamics Bd. 49, 1.2.2022, Nr. 1, date:2.2022: 5-18 		Online Ressource
Artikel 19208 Two machine learning-based nomogram to predict risk and prognostic factors for liver metastasis from pancreatic neuroendocrine tumors: a multicenter study
Enthalten in BMC cancer Bd. 23, 9.6.2023, Nr. 1, date:12.2023: 1-18 		Online Ressource
Artikel 19209 Two neuroanatomical subtypes of males with autism spectrum disorder revealed using semi-supervised machine learning
Enthalten in Molecular autism Bd. 13, 23.2.2022, Nr. 1, date:12.2022: 1-14 		Online Ressource
Artikel 19210 Two phase feature-ranking for new soil dataset for Coxiella burnetii persistence and classification using machine learning models
Enthalten in Scientific reports Bd. 13, 2.1.2023, Nr. 1, date:12.2023: 1-15 		Online Ressource


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