19 citations · 47 across the 4 of their papers we have counts for
5 papers
Explainable AI in Time-Sensitive Scenarios: Prefetched Offline Explanation Model
Fabio Michele Russo, Carlo Metta, Anna Monreale +2
As predictive machine learning models become increasingly adopted and advanced, their role has evolved from merely predicting outcomes to actively shaping them. This evolution has…
Turning Federated Learning Systems Into Covert Channels
Gabriele Costa, Fabio Pinelli, Simone Soderi +1
Federated learning (FL) goes beyond traditional, centralized machine learning by distributing model training among a large collection of edge clients. These clients cooperatively t…
Inferring Unusual Crowd Events From Mobile Phone Call Detail Records
Yuxiao Dong, Fabio Pinelli, Yiannis Gkoufas +3
The pervasiveness and availability of mobile phone data offer the opportunity of discovering usable knowledge about crowd behaviors in urban environments. Cities can leverage such…
Predicting User Engagement in Twitter with Collaborative Ranking
Ernesto Diaz-Aviles, Hoang Thanh Lam, Fabio Pinelli +4
Collaborative Filtering (CF) is a core component of popular web-based services such as Amazon, YouTube, Netflix, and Twitter. Most applications use CF to recommend a small set of i…
ABACUS: frequent pAttern mining-BAsed Community discovery in mUltidimensional networkS
Michele Berlingerio, Fabio Pinelli, Francesco Calabrese
Community Discovery in complex networks is the problem of detecting, for each node of the network, its membership to one of more groups of nodes, the communities, that are densely…