5 citations · 13 across the 6 of their papers we have counts for
6 papers
Modeling spatio-temporal locality in multi-step forecasting of geo-referenced time series
Annunziata D'Aversa, Gianvito Pio, Michelangelo Ceci
Forecasting future measurements from geographically distributed sensors is essential across many domains. However, the spatial distribution of these sensors raises multiple challen…
IMMENSE: Inductive Multi-perspective User Classification in Social Networks
Francesco Benedetti, Antonio Pellicani, Gianvito Pio +1
Online social networks increasingly expose people to users who propagate discriminatory, hateful, and violent content. Young users, in particular, are vulnerable to exposure to suc…
DNS-GT: A Graph-based Transformer Approach to Learn Embeddings of Domain Names from DNS Queries
Massimiliano Altieri, Ronan Hamon, Roberto Corizzo +2
Network intrusion detection systems play a crucial role in the security strategy employed by organisations to detect and prevent cyberattacks. Such systems usually combine pattern…
Multi-view Learning for the Identification of Risky Users in Dynamic Social Networks
Francesco Benedetti, Antonio Pellicani, Gianvito Pio +1
Technological progress in the last few decades has granted an increasing number of people access to social media platforms such as Facebook, X (formerly Twitter), and Instagram. Co…
Semi-supervised Predictive Clustering Trees for (Hierarchical) Multi-label Classification
Jurica Levatić, Michelangelo Ceci, Dragi Kocev +1
Semi-supervised learning (SSL) is a common approach to learning predictive models using not only labeled examples, but also unlabeled examples. While SSL for the simple tasks of cl…
Temporal Pattern Mining from Evolving Networks
Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci
Recently, evolving networks are becoming a suitable form to model many real-world complex systems, due to their peculiarities to represent the systems and their constituting entiti…