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33101 - 33110 von 33176

	33101	What’s in a name? – gender classification of names with character based machine learning models Enthalten in Data mining and knowledge discovery Bd. 35, 12.5.2021, Nr. 4, date:7.2021: 1537-1563
	33102	When are they coming? Understanding and forecasting the timeline of arrivals at the FC Barcelona stadium on match days Enthalten in Machine learning Bd. 113, 26.3.2024, Nr. 5, date:5.2024: 2765-2794
	33103	When machine learning and neural networks marry real-time scheduling Enthalten in Real-time systems Bd. 61, 7.7.2025, Nr. 2, date:6.2025: 320-325
	33104	When not to use machine learning: A perspective on potential and limitations Enthalten in Materials Research Society: MRS bulletin Bd. 47, 21.10.2022, Nr. 9, date:9.2022: 968-974
	33105	When physics meets machine learning: a survey of physics-informed machine learning Enthalten in Machine learning for computational science and engineering Bd. 1, 7.5.2025, Nr. 1, date:6.2025: 1-23
	33106	When the crowd gets it wrong – the limits of collective wisdom in machine learning Enthalten in Scientific reports Bd. 15, 1.7.2025, Nr. 1, date:12.2025: 1-11
	33107	When will China’s industrial carbon emissions peak? Evidence from machine learning Enthalten in Environmental science and pollution research Bd. 30, 27.3.2023, Nr. 20, date:4.2023: 57960-57974
	33108	Where Is the Geography? A Study of the Predictors of Obesity Using UK Biobank Data and Machine Learning Enthalten in Journal of geovisualization and spatial analysis Bd. 7, 12.6.2023, Nr. 2, date:12.2023: 1-21
	33109	Where you go is who you are: a study on machine learning based semantic privacy attacks Enthalten in Journal of Big Data Bd. 11, 12.3.2024, Nr. 1, date:12.2024: 1-31
	33110	Which are best for successful aging prediction? Bagging, boosting, or simple machine learning algorithms? Enthalten in Biomedical engineering online Bd. 22, 29.8.2023, Nr. 1, date:12.2023: 1-25

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