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27021 - 27030 von 31584

	27021	Ontology-based feature engineering in machine learning workflows for heterogeneous epilepsy patient records Enthalten in Scientific reports Bd. 12, 12.11.2022, Nr. 1, date:12.2022: 1-11
	27022	Ontology-guided machine learning outperforms zero-shot foundation models for cardiac ultrasound text reports Enthalten in Scientific reports Bd. 15, 14.2.2025, Nr. 1, date:12.2025: 1-9
	27023	OntoRLE: an ontological-based compression algorithm for improving energy efficiency and memory utilization in 5G WSNs Enthalten in International journal of information technology Bd. 17, 20.11.2024, Nr. 1, date:1.2025: 219-224
	27024	Open Information Extraction from Texts: Part II. Extraction of Semantic Relationships Using Unsupervised Machine Learning Enthalten in Scientific and technical information processing Bd. 47, 26.2.2021, Nr. 6, date:12.2020: 340-347
	27025	Open-source convolutional neural network to classify distal radial fractures according to the AO/OTA classification on plain radiographs Enthalten in European journal of trauma and emergency surgery Bd. 51, 21.7.2025, Nr. 1, date:12.2025: 1-10
	27026	Open Source Deep Learning Solutions for the Classification of MMS Urban 3D Data Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-G-2025, 2025: 839-844. 6 S.
	27027	Open-source QSAR models for pKa prediction using multiple machine learning approaches Enthalten in Journal of cheminformatics Bd. 11, 18.9.2019, Nr. 1, date:12.2019: 1-20
	27028	Open source R for applying machine learning to RPAS remote sensing images Enthalten in Open geospatial data, software and standards Bd. 2, 3.7.2017, Nr. 1, date:12.2017: 1-7
	27029	“Open Sourcing” Workflow and Machine Learning Approaches for Attributing Obsidian Artifacts to Their Volcanic Origins: A Feasibility Study from the South Caucasus Enthalten in Journal of archaeological method and theory Bd. 32, 27.1.2025, Nr. 1, date:3.2025: 1-56
	27030	Opening the black box of machine learning in radiology: can the proximity of annotated cases be a way? Enthalten in European radiology experimental Bd. 4, 5.5.2020, Nr. 1, date:12.2020: 1-7

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