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43191 - 43200 von 43769

	43191	Unsupervised machine learning identifies distinct ALS molecular subtypes in post-mortem motor cortex and blood expression data Enthalten in Acta Neuropathologica Communications Bd. 11, 21.12.2023, Nr. 1, date:12.2023: 1-20
	43192	Unsupervised machine learning identifies distinct phenotypes in cardiac complications of pediatric patients treated with anthracyclines Enthalten in Cardio-Oncology Bd. 10, 28.10.2024, Nr. 1, date:12.2024: 1-11
	43193	Unsupervised machine-learning method for improving the performance of ambulatory fall-detection systems Enthalten in Biomedical engineering online Bd. 11, 16.2.2012, Nr. 1, date:12.2012: 1-11
	43194	Unsupervised machine learning method for indirect estimation of reference intervals for chronic kidney disease in the Puerto Rican population Enthalten in Scientific reports Bd. 13, 11.10.2023, Nr. 1, date:12.2023: 1-11
	43195	Unsupervised Machine Learning Methods for Determining Special Points of the Polymerase Chain Reaction Fluorescence Accumulation Curve Enthalten in Moskovskij gosudarstvennyj universitet im. M.V. Lomonosova: Moscow University physics bulletin Bd. 78, 17.1.2024, Nr. 1, date:12.2023: S169-S179
	43196	Unsupervised machine learning models reveal two distinct post-operative physical activity profiles among joint arthroplasty patients: a United Kingdom biobank cohort study Enthalten in Arthroplasty Bd. 7, 12.11.2025, Nr. 1, date:12.2025: 1-11
	43197	Unsupervised Machine Learning Revealed that Repeat Transcranial Magnetic Stimulation is More Suitable for Stroke Patients with Statin Enthalten in Neurology and Therapy Bd. 13, 30.4.2024, Nr. 3, date:6.2024: 857-868
	43198	Unsupervised machine learning to investigate trajectory patterns of COVID-19 symptoms and physical activity measured via the MyHeart Counts App and smart devices Enthalten in npj digital medicine Bd. 6, 22.12.2023, Nr. 1, date:12.2023: 1-11
	43199	UNSUPERVISED METHODOLOGY TO IN-SEASON MAPPING OF SUMMER CROPS IN URUGUAY WITH MODIS EVI’S TEMPORAL SERIES AND MACHINE LEARNING Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLII-3/W12-2020, 2020: 171-176
	43200	Unsupervised variational domain adaptation Enthalten in Machine learning Bd. 114, 14.2.2025, Nr. 3, date:3.2025: 1-24

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