6 citations · 11 across the 8 of their papers we have counts for
8 papers
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…
Assessing Predictive Models for Fairness Based on Activity-Space 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…
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…
Power- and Fragmentation-aware Online Scheduling for GPU Datacenters
Francesco Lettich, Emanuele Carlini, Franco Maria Nardini +2
The rise of Artificial Intelligence and Large Language Models is driving increased GPU usage in data centers for complex training and inference tasks, impacting operational costs,…
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…
Towards A Personal Shopper's Dilemma: Time vs Cost
Samiul Anwar, Francesco Lettich, Mario A. Nascimento
Consider a customer who needs to fulfill a shopping list, and also a personal shopper who is willing to buy and resell to customers the goods in their shopping lists. It is in the…
Manycore processing of repeated k-NN queries over massive moving objects observations
Francesco Lettich, Salvatore Orlando, Claudio Silvestri
The ability to timely process significant amounts of continuously updated spatial data is mandatory for an increasing number of applications. In this paper we focus on a specific d…
Manycore processing of repeated range queries over massive moving objects observations
Francesco Lettich, Salvatore Orlando, Claudio Silvestri +1
The ability to timely process significant amounts of continuously updated spatial data is mandatory for an increasing number of applications. Parallelism enables such applications…