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27371 - 27380 von 32527

	27371	Multi-factor ranking method for trading-off accuracy, diversity, novelty, and coverage of recommender systems Enthalten in International journal of information technology Bd. 15, 9.2.2023, Nr. 3, date:3.2023: 1427-1433
	27372	Multi-feature machine learning model for automatic segmentation of green fractional vegetation cover for high-throughput field phenotyping Enthalten in Plant methods Bd. 13, 21.11.2017, Nr. 1, date:12.2017: 1-16
	27373	Multi-fuzzy sets and neural networks: a collaborative tool for artificial intelligence Enthalten in International journal of information technology Bd. 16, 22.5.2024, Nr. 6, date:8.2024: 3419-3423
	27374	MULTI-HAZARD SUSCEPTIBILITY ASSESSMENT WITH HYBRID MACHINE LEARNING METHODS FOR TUT REGION (ADIYAMAN, TURKIYE) Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-M-1-2023, 2023: 529-536. 8 S.
	27375	Multi-information fusion based on dual attention and text embedding network for local citation recommendation Enthalten in Advances in computational intelligence Bd. 3, 25.7.2023, Nr. 4, date:8.2023: 1-11
	27376	Multi-institutional development and external validation of machine learning-based models to predict relapse risk of pancreatic ductal adenocarcinoma after radical resection Enthalten in Journal of translational medicine Bd. 19, 30.6.2021, Nr. 1, date:12.2021: 1-10
	27377	Multi-label machine learning for power forecasting of a grid-connected photovoltaic solar plant over multiple time horizons Enthalten in Scientific reports Bd. 15, 23.9.2025, Nr. 1, date:12.2025: 1-23
	27378	Multi-level cognitive state classification of learners using complex brain networks and interpretable machine learning Enthalten in Cognitive neurodynamics Bd. 19, 3.1.2025, Nr. 1, date:12.2025: 1-17
	27379	Multi-machine learning model based on radiomics features to predict prognosis of muscle-invasive bladder cancer Enthalten in BMC cancer Bd. 25, 1.7.2025, Nr. 1, date:12.2025: 1-14
	27380	Multi-metric comparison of machine learning imputation methods with application to breast cancer survival Enthalten in BMC medical research methodology Bd. 24, 30.8.2024, Nr. 1, date:12.2024: 1-17

27371 - 27380 von 32527

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