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Artikel 22701 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
Online Ressource
Artikel 22702 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
Online Ressource
Artikel 22703 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
Online Ressource
Artikel 22704 When is it optimal for the event-triggered strategy in energy harvesting transmission
Enthalten in European Association for Speech, Signal and Image Processing: EURASIP journal on wireless communications and networking Bd. 2017, 14.11.2017, Nr. 1, date:12.2017: 1-13
Online Ressource
Artikel 22705 Where do we stand in AI for endoscopic image analysis? Deciphering gaps and future directions
Enthalten in npj digital medicine Bd. 5, 20.12.2022, Nr. 1, date:12.2022: 1-13
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Artikel 22706 Where should police forces target their residential burglary reduction efforts? Using official victimisation data to predict burglary incidences at the neighbourhood level
Enthalten in Crime Science Bd. 10, 5.6.2021, Nr. 1, date:12.2021: 1-11
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Artikel 22707 Which Explanation Should be Selected: A Method Agnostic Model Class Reliance Explanation for Model and Explanation Multiplicity
Enthalten in SN Computer Science Bd. 5, 27.4.2024, Nr. 5, date:6.2024: 1-20
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Artikel 22708 Which interventions contribute most to the net effect of England’s agri-environment schemes on pollination services?
Enthalten in Landscape ecology Bd. 38, 27.11.2022, Nr. 1, date:1.2023: 271-291
Online Ressource
Artikel 22709 WHICH SATELLITE IMAGE SHOULD BE USED FOR MAPPING
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-1/W1-2023, 2023: 827-834. 8 S.
Online Ressource
Artikel 22710 Which scaling rule applies to large artificial neural networks
Enthalten in Neural computing & applications Bd. 33, 20.9.2021, Nr. 24, date:12.2021: 16847-16864
Online Ressource


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