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41451 - 41460 von 42121

	41451	Understanding machine learning software defect predictions Enthalten in Automated software engineering Bd. 27, 12.10.2020, Nr. 3-4, date:12.2020: 369-392
	41452	Understanding of Wetting Mechanism Toward the Sticky Powder and Machine Learning in Predicting Granule Size Distribution Under High Shear Wet Granulation Enthalten in American Association of Pharmaceutical Scientists: AAPS PharmSciTech Bd. 25, 23.10.2024, Nr. 8, date:12.2024: 1-22
	41453	Understanding phase transitions of α-quartz under dynamic compression conditions by machine-learning driven atomistic simulations Enthalten in npj computational materials Bd. 11, 2.3.2025, Nr. 1, date:12.2025: 1-9
	41454	Understanding prediction discrepancies in classification Enthalten in Machine learning Bd. 113, 7.8.2024, Nr. 10, date:10.2024: 7997-8026
	41455	Understanding predictions of drug profiles using explainable machine learning models Enthalten in BioData Mining Bd. 17, 1.8.2024, Nr. 1, date:12.2024: 1-25
	41456	Understanding quality of analytics trade-offs in an end-to-end machine learning-based classification system for building information modeling Enthalten in Journal of Big Data Bd. 8, 15.2.2021, Nr. 1, date:12.2021: 1-30
	41457	Understanding quantum machine learning also requires rethinking generalization Enthalten in Nature Communications Bd. 15, 13.3.2024, Nr. 1, date:12.2024: 1-12
	41458	Understanding solid-state battery electrolytes using atomistic modelling and machine learning Enthalten in Nature reviews / Materials Bd. 10, 24.6.2025, Nr. 8, date:8.2025: 566-583
	41459	Understanding the evolutionary processes and causes of groundwater drought using an interpretable machine learning model Enthalten in Scientific reports Bd. 15, 1.7.2025, Nr. 1, date:12.2025: 1-14
	41460	Understanding the importance of key risk factors in predicting chronic bronchitic symptoms using a machine learning approach Enthalten in BMC medical research methodology Bd. 19, 29.3.2019, Nr. 1, date:12.2019: 1-12