5 papers
Assessing Predictive Models for Fairness Based on Movement Patterns
Francesco Lettich, Mario A. Nascimento, Chiara Pugliese +1
Assessing the spatial fairness of predictive models involves establishing whether they are statistically penalizing (favoring) individuals associated with certain geographical loca…
Privacy Evaluation of Generative Models for Trajectory Generation
Stavros Bouras, Ioannis Kontopoulos, Chiara Pugliese +5
Trajectory data is fundamental to modern urban intelligence, yet its sensitivity raises significant privacy concerns. Generative models such as Generative Adversarial Networks, Var…
Human Mobility Datasets Enriched With Contextual and Social Dimensions
Chiara Pugliese, Francesco Lettich, Guido Rocchietti +2
In this resource paper, we present two publicly available datasets of semantically enriched human trajectories, together with the pipeline to build them. The trajectories are publi…
Spatially-Enhanced Retrieval-Augmented Generation for Walkability and Urban Discovery
Maddalena Amendola, Chiara Pugliese, Raffaele Perego +1
Large Language Models (LLMs) have become foundational tools in artificial intelligence, supporting a wide range of applications beyond traditional natural language processing, incl…
Urban Region Embeddings from Service-Specific Mobile Traffic Data
Giulio Loddi, Chiara Pugliese, Francesco Lettich +2
With the advent of advanced 4G/5G mobile networks, mobile phone data collected by operators now includes detailed, service-specific traffic information with high spatio-temporal re…