Filippo Betello

According to our database, Filippo Betello authored at least 12 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Demystifying Sequential Recommendations: Counterfactual Explanations via Genetic Algorithms.

Domiziano Scarcelli, Filippo Betello, Giuseppe Perelli, Fabrizio Silvestri, Gabriele Tolomei

CoRR, August, 2025

One Search Fits All: Pareto-Optimal Eco-Friendly Model Selection.

Filippo Betello, Antonio Purificato, Vittoria Vineis, Gabriele Tolomei, Fabrizio Silvestri

CoRR, May, 2025

A Reproducible Analysis of Sequential Recommender Systems.

Filippo Betello, Antonio Purificato, Federico Siciliano, Giovanni Trappolini, Andrea Bacciu, Nicola Tonellotto, Fabrizio Silvestri

IEEE Access, 2025

Are Convolutional Sequential Recommender Systems Still Competitive? Introducing New Models and Insights.

Federico Siciliano, Antonio Purificato, Filippo Betello, Nicola Tonellotto, Fabrizio Silvestri

Proceedings of the International Joint Conference on Neural Networks, 2025

QPP-RA: Aggregating Large Language Model Rankings.

Filippo Betello, Matteo Russo, Paul Dütting, Stefano Leonardi, Fabrizio Silvestri

Proceedings of the 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval, 2025

2024

Attention-map augmentation for hypercomplex breast cancer classification.

Eleonora Lopez, Filippo Betello, Federico Carmignani, Eleonora Grassucci, Danilo Comminiello

Pattern Recognit. Lett., 2024

Learning visual stimulus-evoked EEG manifold for neural image classification.

Salvatore Falciglia, Filippo Betello, Samuele Russo, Christian Napoli

Neurocomputing, 2024

The Role of Fake Users in Sequential Recommender Systems.

Filippo Betello

Proceedings of the Workshop Design, 2024

Finite Rank-Biased Overlap (FRBO): A New Measure for Stability in Sequential Recommender Systems.

Filippo Betello, Federico Siciliano, Pushkar Mishra, Fabrizio Silvestri

Proceedings of the 14th Italian Information Retrieval Workshop, 2024

Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations.

Filippo Betello, Federico Siciliano, Pushkar Mishra, Fabrizio Silvestri

Proceedings of the Advances in Information Retrieval, 2024

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

Deep Image Inpainting to Support Endoscopic Procedures.

Danilo Menegatti, Filippo Betello, Francesco Delli Priscoli, Alessandro Giuseppi

Proceedings of the 31st Mediterranean Conference on Control and Automatio, 2023