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15941 - 15950 von 16951

	15941	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
	15942	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
	15943	Self explainable graph convolutional recurrent network for spatio-temporal forecasting Enthalten in Machine learning Bd. 114, 14.1.2025, Nr. 1, date:1.2025: 1-31
	15944	Self-healing hybrid intrusion detection system: an ensemble machine learning approach Enthalten in Discover artificial intelligence Bd. 4, 16.4.2024, Nr. 1, date:12.2024: 1-20
	15945	Self-report symptom-based endometriosis prediction using machine learning Enthalten in Scientific reports Bd. 13, 4.4.2023, Nr. 1, date:12.2023: 1-10
	15946	Self-supervised identification and elimination of harmful datasets in distributed machine learning for medical image analysis Enthalten in npj digital medicine Bd. 8, 15.2.2025, Nr. 1, date:12.2025: 1-14
	15947	SELF-SUPERVISED LEARNING – A WAY TO MINIMIZE TIME AND EFFORT FOR PRECISION AGRICULTURE? Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLIII-B3-2022, 2022: 1327-1333. 7 S.
	15948	Self-supervised machine learning for live cell imagery segmentation Enthalten in Communications biology Bd. 5, 2.11.2022, Nr. 1, date:12.2022: 1-8
	15949	Self-supervised machine learning pushes the sensitivity limit in label-free detection of single proteins below 10 kDa Enthalten in Nature methods Bd. 20, 27.2.2023, Nr. 3, date:3.2023: 442-447
	15950	Semantic modeling of cell damage prediction: a machine learning approach at human-level performance in dermatology Enthalten in Scientific reports Bd. 13, 23.5.2023, Nr. 1, date:12.2023: 1-10

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