Titlebook: End-User Development; 9th International Sy Lucio Davide Spano,Albrecht Schmidt,Simone Stumpf Conference proceedings 2023 The Editor(s) (if

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書(shū)目名稱(chēng)End-User Development影響因子(影響力)

書(shū)目名稱(chēng)End-User Development影響因子(影響力)學(xué)科排名

書(shū)目名稱(chēng)End-User Development網(wǎng)絡(luò)公開(kāi)度

書(shū)目名稱(chēng)End-User Development網(wǎng)絡(luò)公開(kāi)度學(xué)科排名

書(shū)目名稱(chēng)End-User Development被引頻次

書(shū)目名稱(chēng)End-User Development被引頻次學(xué)科排名

書(shū)目名稱(chēng)End-User Development年度引用

書(shū)目名稱(chēng)End-User Development年度引用學(xué)科排名

書(shū)目名稱(chēng)End-User Development讀者反饋

書(shū)目名稱(chēng)End-User Development讀者反饋學(xué)科排名

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Conference proceedings 2023ng June 6–8, 2023..The 17 full papers and 2?(keynote extended abstracts) included in this book were carefully reviewed and?selected from?26?submissions. They were organized in topical sections as follows:??Artificial Intelligence for End-Users; Internet of Things for End-Users; Privacy; Security and Society; Supporting End-User Development..

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978-3-031-34432-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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https://doi.org/10.1007/978-3-658-42341-4and AI experts. However, users may need to create intelligent solutions tailored to their specific needs. In this way, AI systems can be enhanced if new approaches are devised to allow non-technical users to be directly involved in the definition and personalization of AI technologies. End-User Deve

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Introduction: Refugees and Asylumate images from natural language descriptions (prompts). These models have demonstrated impressive capabilities in creating high-quality images from a wide range of inputs, making them powerful tools for non-technical users to tap into their creativity. The field is advancing rapidly and we are witn

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Fanonian Critique of Encampment,t interfaces in this field often fail to provide users with the proper support, e.g., because they force users to deal with too many technological details. This paper explores novel approaches for personalizing IoT ecosystems via natural language and vocal interaction. We first conducted seven inter

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