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Urban Area Characterization Based on Semantics of Crowd Activities in Twitter., , and . GeoS, volume 6631 of Lecture Notes in Computer Science, page 108-123. Springer, (2011)Analyzing Effective Features based on User Intention for Enhanced Map Search., , , and . J. Softw., 7 (6): 1393-1402 (2012)Detection of Unusually Crowded Places through Micro-Blogging Sites., , and . AINA Workshops, page 467-472. IEEE Computer Society, (2010)Deformation Analysis of Modified Maps Based on Geographical Accuracy and Spatial Context., , and . HICSS, page 1-9. IEEE Computer Society, (2011)Twitter-based Urban Area Characterization by Non-negative Matrix Factorization., , , and . BigDAS, page 128-135. ACM, (2015)Systematic measurement of human map-reading ability with street-view based navigation systems., , and . ICUIMC, page 41. ACM, (2010)Crowd-sourced prediction of pedestrian congestion for bike navigation systems., , , , , and . IWGS, page 25-32. ACM, (2014)mTrend: discovery of topic movements on geo-microblogging messages., , and . GIS, page 529-532. ACM, (2011)Crowd-based urban characterization: extracting crowd behavioral patterns in urban areas from Twitter., , and . GIS-LBSN, page 77-84. ACM, (2011)Feature High-Boosting for Semantic Segmentation., , , , and . IEEE Access, (2022)