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ORCIDGeoAI@SIGSPATIAL 2019: Chicago, IL, USA
- Song Gao, Shawn D. Newsam, Liang Zhao, Dalton D. Lunga, Yingjie Hu, Bruno Martins, Xun Zhou, Feng Chen:
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI@SIGSPATIAL 2019, Chicago, IL, USA, November 5, 2019. ACM 2019, ISBN 978-1-4503-6957-2 - John Krumm, Kora Krumm:
Land Use Inference from Mobility Traces. 1-4 - Ke Mai, Wei Tu
, Qingquan Li, Tianzhong Zhao, Yatao Zhang, Haoyu Ye:
STIETR: Spatial-temporal Intelligent E-Taxi Recommendation System Using GPS Trajectories. 5-8 - Yanhua Li, Weixiao Huang:
Imitation Learning from Human-Generated Spatial-Temporal Data. 9-10 - Ugyen Jigten Dorji, Anon Plangprasopchok, Navaporn Surasvadi, Chaiyaphum Siripanpornchana:
A machine learning approach to estimate median income levels of sub-districts in Thailand using satellite and geospatial data. 11-14 - Xiaoyi Yuan, Andrew T. Crooks:
Assessing the placeness of locations through user-contributed content. 15-23 - Ying Chen, Xu Ouyang, Gady Agam:
ChangeNet: Learning to Detect Changes in Satellite Images. 24-31 - Zhengcong Yin, Haoyi Xiong, Xun Zhou, Daniel W. Goldberg, David A. Bennett, Chong Zhang:
A Deep Learning based Illegal Parking Detection Platform. 32-35 - Yifang Yin, Abhinav Sunderrajan, Xiaocheng Huang, Jagannadan Varadarajan, Guanfeng Wang, Dhruva Sahrawat, Ying Zhang, Roger Zimmermann, See-Kiong Ng:
Multi-scale Graph Convolutional Network for Intersection Detection from GPS Trajectories. 36-39 - Bo Peng, Xinyi Liu, Zonglin Meng, Qunying Huang:
Urban Flood Mapping with Residual Patch Similarity Learning. 40-47 - Sasan Tavakkol, Yao-Yi Chiang, Tim Waters, Feng Han, Kisalaya Prasad, Raimondas Kiveris:
Kartta Labs: Unrendering Historical Maps. 48-51 - Tengfei Xing, Yang Gu, Zhichao Song, Zhihui Wang, Yiping Meng, Nan Ma, Pengfei Xu, Runbo Hu, Hua Chai:
A Traffic Sign Discovery Driven System for Traffic Rule Updating. 52-55 - Stephen Law, Mateo Neira:
An unsupervised approach to geographical knowledge discovery using street level and street network images. 56-65 - Jiue-An Yang, Marta M. Jankowska:
Contextualizing Space and Time for GeoAI JITAIs (Just-in-Time Adaptive Interventions). 66-68 - Aiman Soliman, Jeffrey A. Terstriep:
Keras Spatial: Extending deep learning frameworks for preprocessing and on-the-fly augmentation of geospatial data. 69-76 - Haolin Liang, Shawn D. Newsam:
Estimating the Spatial Resolution of Very High-Resolution Overhead Imagery. 77-80 - Yanan Xin, Paul R. Adler:
Mapping Miscanthus Using Multi-Temporal Convolutional Neural Network and Google Earth Engine. 81-84 - Luke S. Snyder, Morteza Karimzadeh, Ray Chen, David S. Ebert:
City-level Geolocation of Tweets for Real-time Visual Analytics. 85-88
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