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	33131	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
	33132	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
	33133	XGBoosting Cricket: Enhancing Predictive Modeling for Twenty20 Match Results Using Machine Learning and Statistical Techniques Enthalten in SN Computer Science Bd. 5, 9.11.2024, Nr. 8, date:12.2024: 1-7
	33134	XMID-MQTT: explaining machine learning-based intrusion detection system for MQTT protocol in IoT environment Enthalten in International journal of information security Bd. 24, 14.5.2025, Nr. 3, date:6.2025: 1-22
	33135	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
	33136	Year-round daily wildfire prediction and key factor analysis using machine learning: a case study of Gangwon State, South Korea Enthalten in Scientific reports Bd. 15, 15.8.2025, Nr. 1, date:12.2025: 1-12
	33137	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
	33138	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
	33139	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
	33140	You are smarter than you think: (super) machine learning in context Enthalten in European journal of epidemiology Bd. 33, 9.5.2018, Nr. 5, date:5.2018: 437-440

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