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ORCID1st PredictGIS@SIGSPATIAL 2017: Redondo Beach, CA, USA
- Proceedings of the 1st ACM SIGSPATIAL Workshop on Prediction of Human Mobility, PredictGIS@SIGSPATIAL 2017, Redondo Beach, CA, USA, November 7-10, 2017. ACM 2017
- Joon Heo, Kyong-Mee Chung, Sanghyun Yoon, Sung Bum Yun, Jong Won Ma
, Sungha Ju:
Spatial-Data-Driven Student Characterization in Higher Education. 1:1-1:4 - Dominik Bucher:
Vision Paper: Using Volunteered Geographic Information to Improve Mobility Prediction. 2:1-2:4 - Xiliang Liu, Kang Liu, Mingxiao Li, Feng Lu, Mengdi Liao, Ren Yang:
SHE: Stepwise Heterogeneous Ensemble Method for Citywide Traffic Analysis. 3:1-3:10 - Priit Järv:
Extracting Human Mobility Data from Geo-tagged Photos. 4:1-4:7 - Yanbo Pang, Kota Tsubouchi, Takahiro Yabe, Yoshihide Sekimoto:
Modeling and reproducing human daily travel behavior from GPS data: A Markov Decision Process approach. 5:1-5:9 - Xinyi Liu, Qunying Huang, Zhenlong Li, Meiliu Wu:
The impact of MTUP to explore online trajectories for human mobility studies. 6:1-6:9 - Akihito Sudo, Teck-Hou Teng, Hoong Chuin Lau, Yoshihide Sekimoto:
Predicting Indoor Crowd Density using Column-Structured Deep Neural Network. 7:1-7:7
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