Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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12741 - 12750 von 12752

	12741	WorMachine: machine learning-based phenotypic analysis tool for worms Enthalten in BMC biology Bd. 16, 16.1.2018, Nr. 1, date:12.2018: 1-11
	12742	X-Detect: explainable adversarial patch detection for object detectors in retail Enthalten in Machine learning Bd. 113, 19.6.2024, Nr. 9, date:9.2024: 6273-6292
	12743	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
	12744	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
	12745	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
	12746	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
	12747	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
	12748	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
	12749	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
	12750	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

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