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Detecting, Classifying, and Mapping Retail Storefronts Using Street-level Imagery.

, , , , and . ICMR, page 495-501. ACM, (2020)

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Detecting, Classifying, and Mapping Retail Storefronts Using Street-level Imagery., , , , and . ICMR, page 495-501. ACM, (2020)Regionalization of Social Interactions and Points-of-Interest Location Prediction With Geosocial Data., , and . IEEE Access, (2018)OSMoSys: A Web Interface for Graph-Based RDF Data Visualization and Ontology Browsing.. ICWE, volume 9114 of Lecture Notes in Computer Science, page 679-682. Springer, (2015)ST-Sem: A Multimodal Method for Points-of-Interest Classification Using Street-Level Imagery., , and . ICWE, volume 11496 of Lecture Notes in Computer Science, page 32-46. Springer, (2019)Measuring children's and adolescents' accessibility to greenspaces from different locations and commuting settings., , and . Comput. Environ. Urban Syst., (March 2023)Crowd-Mapping Urban Objects from Street-Level Imagery., , , and . WWW, page 1521-1531. ACM, (2019)Urban Analytics.. Int. J. Geogr. Inf. Sci., 32 (11): 2334-2335 (2018)Assessing the influence of point-of-interest features on the classification of place categories., and . Comput. Environ. Urban Syst., (2021)Measuring spatial age segregation through the lens of co-accessibility to urban activities., and . Comput. Environ. Urban Syst., (2022)Social Smart Meter: Identifying Energy Consumption Behavior in User-Generated Content., , and . WWW (Companion Volume), page 195-198. ACM, (2018)