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14051 - 14060 von 14060

	14051	X-ray based radiomics machine learning models for predicting collapse of early-stage osteonecrosis of femoral head Enthalten in Scientific reports Bd. 15, 20.4.2025, Nr. 1, date:12.2025: 1-13
	14052	X-ray Coronary Angiogram images and SYNTAX score to develop Machine-Learning algorithms for CHD Diagnosis Enthalten in Scientific data Bd. 12, 21.3.2025, Nr. 1, date:12.2025: 1-8
	14053	XAI-based cross-ensemble feature ranking methodology for machine learning models Enthalten in International journal of information technology Bd. 15, 29.4.2023, Nr. 4, date:4.2023: 1759-1768
	14054	XAI-TRIS: non-linear image benchmarks to quantify false positive post-hoc attribution of feature importance Enthalten in Machine learning Bd. 113, 16.7.2024, Nr. 9, date:9.2024: 6871-6910
	14055	XGBoost-based machine learning test improves the accuracy of hemorrhage prediction among geriatric patients with long-term administration of rivaroxaban Enthalten in BMC geriatrics Bd. 23, 10.7.2023, Nr. 1, date:12.2023: 1-12
	14056	XGBoost model for predicting erectile dysfunction risk after radical prostatectomy: development and validation using machine learning Enthalten in Discover oncology Bd. 16, 19.5.2025, Nr. 1, date:12.2025: 1-16
	14057	Year-round behavioural time budgets of common woodpigeons inferred from acceleration data using machine learning Enthalten in Behavioral ecology and sociobiology Bd. 77, 31.3.2023, Nr. 4, date:4.2023: 1-12
	14058	YI 2.1 Pulse Wave Velocity Estimation from the Radial Pulse Waveform using Gaussian Process Regression: A Machine Learning Based Study Enthalten in Artery research Bd. 26, 31.12.2020, Nr. 1, date:12.2020: S12
	14059	Yield prediction by machine learning from UAS-based multi-sensor data fusion in soybean Enthalten in Plant methods Bd. 16, 1.6.2020, Nr. 1, date:12.2020: 1-16
	14060	Yield prediction, pest and disease diagnosis, soil fertility mapping, precision irrigation scheduling, and food quality assessment using machine learning and deep learning algorithms Enthalten in Discover food Bd. 5, 20.3.2025, Nr. 1, date:12.2025: 1-23

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