Abstract is missing.
- Representation learning of urban regions via mobility-signature-based zone embedding: a case study of Seoul, South KoreaNamwoo Kim, Yoonjin Yoon. [doi]
- Spatially and semantically diverse points extraction using hierarchical clusteringNaomi Simumba, Satoshi Masuda, Michiaki Tatsubori. [doi]
- HYPO: skew-resilient partitioning for trajectory datasetsGiannis Evagorou, Abhirup Ghosh, Thomas Heinis. [doi]
- Spatiotemporal prediction of foot trafficSamiul Islam, Dhruv Gandhi, Justin Elarde, Taylor Anderson, Amira Roess, Timothy F. Leslie, Hamdi Kavak, Andreas Züfle. [doi]
- Which portland is it?: a machine learning approachNicole R. Schneider, Hanan Samet. [doi]
- Visualizing accessibility with choropleth mapsDavid Li, Hanan Samet, Amitabh Varshney. [doi]
- Mining points of interest via address embeddings: an unsupervised approachAbhinav Ganesan, Anubhav Gupta, Jose Mathew 0003. [doi]
- Finding "retro" places in Japan: crowd-sourced urban ambience estimationShu Anzai, Taichi Murayama, Shuntaro Yada, Shoko Wakayama, Eiji Aramaki. [doi]
- Predicting customer poachability from locomotion intelligenceSyagnik Banerjee, Christopher Krebs, Neslihan Bisgin, Halil Bisgin, Murali Mani. [doi]