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cs.LG2025
PlaceRep: Geospatial Place Representation Learning from Large-Scale Point-of-Interest Data
Mohammad Hashemi, Hossein Amiri, Andreas Zufle
Learning effective representations of urban environments requires capturing spatial structure beyond fixed administrative boundaries. Existing geospatial representation learning ap…
cs.LG2020
Station-to-User Transfer Learning: Towards Explainable User Clustering Through Latent Trip Signatures Using Tidal-Regularized Non-Negative Matrix Factorization
Liming Zhang, Andreas Züfle, Dieter Pfoser
Urban areas provide us with a treasure trove of available data capturing almost every aspect of a population's life. This work focuses on mobility data and how it will help improve…