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Xin Yao, Juan Yu, Jianmin Han, Jianfeng Lu, Hao Peng, Yijia Wu and Xiaoqian Cao
Generating differentially private synthetic human mobility trajectories from real trajectories is a commonly used approach for privacy-preserving trajectory publishing. However, existing synthetic trajectory generation methods suffer from the drawbacks o...
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Claudia Alessandra Libbi, Jan Trienes, Dolf Trieschnigg and Christin Seifert
A major hurdle in the development of natural language processing (NLP) methods for Electronic Health Records (EHRs) is the lack of large, annotated datasets. Privacy concerns prevent the distribution of EHRs, and the annotation of data is known to be cos...
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Chengbin Deng, Xiaoyu Dong, Huihai Wang, Weiying Lin, Hao Wen, John Frazier, Hung Chak Ho and Louisa Holmes
Walking is the most common, environment-friendly, and inexpensive type of physical activity. To perform in-depth walkability analysis, one option is to objectively evaluate different aspects of built environment related to walkability. In this study, we ...
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Hossein Bagheri, Michael Schmitt and Xiaoxiang Zhu
So-called prismatic 3D building models, following the level-of-detail (LOD) 1 of the OGC City Geography Markup Language (CityGML) standard, are usually generated automatically by combining building footprints with height values. Typically, high-resolutio...
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Alexandros Stergiou, Grigorios Kalliatakis and Christos Chrysoulas
To deal with the richness in visual appearance variation found in real-world data, we propose to synthesise training data capturing these differences for traffic sign recognition. The use of synthetic training data, created from road traffic sign templat...
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