Betello, Purificato, et al. "A Reproducible Analysis of Sequential Recommender Systems" IEEE Access, 2024.
Trappolini, Purificato, et al. "Quantized Auto Encoder-based Anomaly Detection for Multivariate Time Series Data in 5G Networks" IEEE Access, 2025.
Purificato et al. "Sheaf4Rec: Sheaf Neural Networks for Graph-based Recommender Systems", ACM Transactions on Recommender Systems
Purificato, Antonio, and Fabrizio Silvestri. "Eco-Aware Graph Neural Networks for Sustainable Recommendations" Recommender Systems for Sustainability and Social Good. RecSoGood 2024.
Purificato, Antonio, and Roberto Navigli. "APatt at semeval-2023 task 3: The sapienza nlp system for ensemble-based multilingual propaganda detection" Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023). 2023.
Antonio Purificato, Maria Sofia Bucarelli, Anil Kumar Nelakanti, Andrea Bacciu, Fabrizio Silvestri, Amin Mantrach "The Majority Vote Paradigm Shift: When Popular Meets Optimal" arXiv.
Filippo Betello, Antonio Purificato, Vittoria Vineis, Gabriele Tolomei, Fabrizio Silvestri "One Search Fits All: Pareto-Optimal Eco-Friendly Model Selection", arXiv.
Emanuele Mule, Stefano Fiorini, Antonio Purificato, Federico Siciliano, Stefano Coniglio & Fabrizio Silvestri. Directional Sheaf Hypergraph Networks: Unifying Learning on Directed and Undirected Hypergraphs, arXiv.