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Ergebnis der Suche nach: "Machine Learning"
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15931 - 15940 von 16949

	15931	Segmenting functional tissue units across human organs using community-driven development of generalizable machine learning algorithms Enthalten in Nature Communications Bd. 14, 3.8.2023, Nr. 1, date:12.2023: 1-11
	15932	Seismic characterization of carbonate stringers using machine learning techniques: an example from the western flank of South Oman Salt Basin Enthalten in Scientific reports Bd. 14, 28.12.2024, Nr. 1, date:12.2024: 1-18
	15933	Seismic optimization of buckling-restrained brace mid-rise frames by metaheuristics and machine learning surrogative models Enthalten in Structural and multidisciplinary optimization Bd. 68, 3.4.2025, Nr. 3, date:3.2025: 1-22
	15934	SeizyML: An Application for Semi-Automated Seizure Detection Using Interpretable Machine Learning Models Enthalten in Neuroinformatics Bd. 23, 3.3.2025, Nr. 2, date:4.2025: 1-17
	15935	Selected proceedings of Machine Learning in Systems Biology: MLSB 2016 Enthalten in BMC bioinformatics Bd. 17, 13.12.2016, Nr. 16, date:12.2016: 51-52
	15936	Selecting critical features for data classification based on machine learning methods Enthalten in Journal of Big Data Bd. 7, 23.7.2020, Nr. 1, date:12.2020: 1-26
	15937	Selection of casting production parameters with the use of machine learning and data supplementation methods in order to obtain products with the assumed parameters Enthalten in Archives of civil and mechanical engineering Bd. 23, 2.2.2023, Nr. 2, date:5.2023: 1-18
	15938	Selection of safe artemisinin derivatives using a machine learning-based cardiotoxicity platform and in vitro and in vivo validation Enthalten in Archives of toxicology Bd. 95, 22.5.2021, Nr. 7, date:7.2021: 2485-2495
	15939	Selection of subjects for clinical trials in Alzheimer’s disease and mild cognitive impairment with machine learning analysis of MRI and CSF biomarkers Enthalten in Trials Bd. 12, 13.12.2011, Nr. 1, date:12.2011: 1-2
	15940	Self-Control and Beliefs Surrounding Others’ Cooperation Predict Own Health-Protective Behaviors and Support for COVID-19 Government Regulations: Evidence From Two European Countries Enthalten in Social psychological bulletin Bd. 16, 30.03.2021, Nr. 1

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