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	100001	What large language models know and what people think they know Enthalten in Nature machine intelligence Bd. 7, 21.1.2025, Nr. 2, date:2.2025: 221-231
	100002	What Limits the Performance of Local Self-attention? Enthalten in International journal of computer vision Bd. 131, 9.6.2023, Nr. 10, date:10.2023: 2516-2528
	100003	What Matters in Radiological Image Segmentation? Effect of Segmentation Errors on the Diagnostic Related Features Enthalten in Journal of digital imaging Bd. 36, 20.6.2023, Nr. 5, date:10.2023: 2088-2099
	100004	What parents know and want to learn about healthy eating and body image in preschool children: a triangulated qualitative study with parents and Early Childhood Professionals Enthalten in BMC public health Bd. 15, 2.7.2015, Nr. 1, date:12.2015: 1-13
	100005	What you pay is what you get? Enthalten in Quality and user experience Bd. 3, 4.4.2018, Nr. 1, date:12.2018: 1-20
	100006	What’s in an image? Enthalten in The visual computer Bd. 21, 1.9.2005, Nr. 8-10, date:9.2005: 840-847
	100007	Wheat ear detection using anchor-free ObjectBox model with attention mechanism Enthalten in Signal, image and video processing Bd. 17, 7.4.2023, Nr. 7, date:10.2023: 3425-3432
	100008	Wheel Based Event Triggered Data Aggregation and Routing in Wireless Sensor Networks: Agent Based Approach Enthalten in Wireless personal communications Bd. 71, 9.9.2012, Nr. 1, date:7.2013: 491-517
	100009	Wheeled vehicles’ velocity updating by navigating on outdoor terrains Enthalten in Neural computing & applications Bd. 20, 8.8.2010, Nr. 7, date:10.2011: 1097-1109
	100010	When Discrete Meets Differential Enthalten in International journal of computer vision Bd. 86, 23.6.2009, Nr. 1, date:1.2010: 87-110

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