Deep Image Inpainting to Support Endoscopic Procedures. - Danilo Menegatti; Filippo Betello; Francesco Delli Priscoli; Alessandro Giuseppi (MED, 2023)

Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations: an Empirical Study. - Filippo Betello; Federico Siciliano; Pushkar Mishra; Fabrizio Silvestri (CoRR, 2023)

Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations. - Filippo Betello; Federico Siciliano; Pushkar Mishra; Fabrizio Silvestri (ECIR (2), 2024)

Finite Rank-Biased Overlap (FRBO): A New Measure for Stability in Sequential Recommender Systems. - Filippo Betello; Federico Siciliano; Pushkar Mishra; Fabrizio Silvestri (IIR, 2024)

The Role of Fake Users in Sequential Recommender Systems. - Filippo Betello (RobustRecSys@RecSys, 2024)

Learning visual stimulus-evoked EEG manifold for neural image classification. - Salvatore Falciglia; Filippo Betello; Samuele Russo; Christian Napoli 001 (Neurocomputing, 2024)

Attention-map augmentation for hypercomplex breast cancer classification. - Eleonora Lopez; Filippo Betello; Federico Carmignani; Eleonora Grassucci; Danilo Comminiello (Pattern Recognit. Lett., 2024)

A Reproducible Analysis of Sequential Recommender Systems. - Filippo Betello; Antonio Purificato; Federico Siciliano; Giovanni Trappolini; Andrea Bacciu; Nicola Tonellotto; Fabrizio Silvestri (IEEE Access, 2025)

One Search Fits All: Pareto-Optimal Eco-Friendly Model Selection. - Filippo Betello; Antonio Purificato; Vittoria Vineis; Gabriele Tolomei; Fabrizio Silvestri (CoRR, 2025)

Demystifying Sequential Recommendations: Counterfactual Explanations via Genetic Algorithms. - Domiziano Scarcelli; Filippo Betello; Giuseppe Perelli; Fabrizio Silvestri; Gabriele Tolomei (CoRR, 2025)