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15121 - 15130 von 15138

	15121	Winning determinants between top and second division in Chinese professional football leagues: an interpretable machine learning approach Enthalten in BMC sports science, medicine & rehabilitation Bd. 17, 21.4.2025, Nr. 1, date:12.2025: 1-11
	15122	With super SDMs (machine learning, open access big data, and the cloud) towards more holistic global squirrel hotspots and coldspots Enthalten in Scientific reports Bd. 14, 3.3.2024, Nr. 1, date:12.2024: 1-10
	15123	WOOD-LEAF UNSUPERVISED CLASSIFICATION OF SILVER BIRCH TREES FOR BIOMASS ASSESSMENT USING OBLIQUE POINT CLOUDS Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-1/W2-2023, 2023: 1795-1802. 8 S.
	15124	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
	15125	Wrist accelerometry and machine learning sensitively capture disease progression in prodromal Parkinson’s disease Enthalten in npj Parkinson's Disease Bd. 11, 17.6.2025, Nr. 1, date:12.2025: 1-7
	15126	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
	15127	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
	15128	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
	15129	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
	15130	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

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