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ORCIDUrbanAI@SIGSPATIAL 2023: Hamburg, Germany
- Proceedings of the 1st ACM SIGSPATIAL International Workshop on Advances in Urban-AI, UrbanAI 2023, Hamburg, Germany, 13 November 2023. ACM 2023
- Zhewei Liu
, Tyler Felton, Ali Mostafavi:
Identifying flash flood hotspots with explainable machine learning using urban features. 6-9 - Sukanya Randhawa, Guntaj Randhawa, Olena Sivak, Johannes Zech, Maria Martin, Alexander Zipf, Yuze Li:
Multiscale Multifeature Vision Learning for Scalable and Efficient Wastewater Treatment Plant Detection using Hi-Res Satellite Imagery and OSM. 10-21 - Sophie Duong, Peter Rottmann, Jan-Henrik Haunert, Petra Mutzel:
Clustering Building Footprint Polygons Based on Graph Similarity Measures. 22-31 - Marcin Przymus, Piotr Szymanski:
Map Diffusion - Text Promptable Map Generation Diffusion Model. 32-41 - Amin Karimi Monsefi, Pouya Shiri, Ahmad Mohammadshirazi, Nastaran Karimi Monsefi, Ron Davies, Sobhan Moosavi, Rajiv Ramnath:
CrashFormer: A Multimodal Architecture to Predict the Risk of Crash. 42-51 - Hui Zhang, Ankit Kariryaa, Venkanna Babu Guthula, Christian Igel, Stefan Oehmcke:
Predicting urban tree cover from incomplete point labels and limited background information. 52-60 - Omid Veisi, Delong Du, Mohammad Amin Moradi, Fernanda Caroline Guasselli, Sotiris Athanasoulias, Hussain Abid Syed, Claudia Müller, Gunnar Stevens:
Designing SafeMap Based on City Infrastructure and Empirical Approach: Modified A-Star Algorithm for Earthquake Navigation Application. 61-70 - Yuyol Shin, Gwanghwan Seong, Namwoo Kim, Seyun Kim, Yoonjin Yoon:
Understanding Urban Economic Status through GNN-based Urban Representation Learning Using Mobility Data. 71-80 - Nagendra Singh, Olufemi A. Omitaomu:
Spatiotemporal Variability of Electric System Reliability Metrics. 81-84
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