6 papers
An Explainable Failure Prediction Framework for Neural Networks in Radio Access Networks
Khaleda Papry, Francesco Spinnato, Marco Fiore +2
As 5G networks continue to evolve to deliver high speed, low latency, and reliable communications, ensuring uninterrupted service has become increasingly critical. While millimeter…
A survey on the impacts of recommender systems on users, items, and human-AI ecosystems
Luca Pappalardo, Salvatore Citraro, Giuliano Cornacchia +12
Recommendation systems and assistants (in short, recommenders) influence through online platforms most actions of our daily lives, suggesting items or providing solutions based on…
Data-driven Exploration of Mobility Interaction Patterns
Gabriele Galatolo, Mirco Nanni
Understanding the movement behaviours of individuals and the way they react to the external world is a key component of any problem that involves the modelling of human dynamics at…
PruneGCRN: Minimizing and explaining spatio-temporal problems through node pruning
Javier GarcÃa-Sigüenza, Mirco Nanni, Faraón Llorens-Largo +1
This work addresses the challenge of using a deep learning model to prune graphs and the ability of this method to integrate explainability into spatio-temporal problems through a…
A computational framework for quantifying route diversification in road networks
Giuliano Cornacchia, Luca Pappalardo, Mirco Nanni +2
The structure of road networks impacts various urban dynamics, from traffic congestion to environmental sustainability and access to essential services. Recent studies reveal that…
The Path is the Goal: a Study on the Nature and Effects of Shortest-Path Stability Under Perturbation of Destination
Giuliano Cornacchia, Mirco Nanni
This work examines the phenomenon of path variability in urban navigation, where small changes in destination might lead to significantly different suggested routes. Starting from…