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cs.LG2026
Modelling daily activity patterns from mobile phone location data via deep representation learning
Xinglei Wang, Junyuan Liu, Guangsheng Dong +4
Passively collected mobile phone location data provide large-scale, longitudinal observations of human mobility but do not directly reveal activity purposes. The functional charact…
cs.LG2026
LE4Mob: Towards Inductive, Distance-Aware and General-Purpose Location Embedding for Human Mobility Modelling
Xinglei Wang, Stephen Law, Zichao Zeng +3
Location representations provide mobility models with fundamental information about the spatial position, functional characteristics, and relationships of places. However, existing…
cs.AI2026
AI vs Human Expert Reasoning: Assessing Agreements in Building Typology Predictions based on Street View Imagery
Zahratu Shabrina, Muhammad Asa, Jin Rui +2
This research investigates the potential of Vision-Language Models (VLMs) to infer building typologies: Construction, Current Use, and Storeys from Google Street View (GSV) images.…