Katalog der Deutschen Nationalbibliothek

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

43681 - 43690 von 43750

	43681	Where you go is who you are: a study on machine learning based semantic privacy attacks Enthalten in Journal of Big Data Bd. 11, 12.3.2024, Nr. 1, date:12.2024: 1-31
	43682	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
	43683	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
	43684	Which model is more efficient in carbon emission prediction research? A comparative study of deep learning models, machine learning models, and econometric models Enthalten in Environmental science and pollution research Bd. 31, 15.2.2024, Nr. 13, date:3.2024: 19500-19515
	43685	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
	43686	Who was at risk for COVID-19 late in the US pandemic? Insights from a population health machine learning model Enthalten in Medical & biological engineering & computing Bd. 60, 11.5.2022, Nr. 7, date:7.2022: 2039-2049
	43687	Whole-Genome Expression Microarray Combined with Machine Learning to Identify Prognostic Biomarkers for High-Grade Glioma Enthalten in Journal of molecular neuroscience Bd. 64, 3.3.2018, Nr. 4, date:4.2018: 491-500
	43688	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
	43689	Whole-tumor histogram analysis of apparent diffusion coefficient maps with machine learning algorithms for predicting histologic grade of sinonasal squamous cell carcinoma: a preliminary study Enthalten in European archives of oto-rhino-laryngology and head & neck Bd. 280, 9.5.2023, Nr. 9, date:9.2023: 4131-4140
	43690	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

43681 - 43690 von 43750

Alle Materialarten

Alle Kataloge/Sammlungen

Alle Standorte > Frankfurt (43750)

Aktionen