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15951 - 15960 von 16964

	15951	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
	15952	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
	15953	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
	15954	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
	15955	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
	15956	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
	15957	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
	15958	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
	15959	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
	15960	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.

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