Matteo Marcuzzo

According to our database, Matteo Marcuzzo authored at least 9 papers between 2022 and 2025.

Collaborative distances:

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

2025

Pun Unintended: LLMs and the Illusion of Humor Understanding.

Alessandro Zangari, Matteo Marcuzzo, Andrea Albarelli, Mohammad Taher Pilehvar, José Camacho-Collados

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Morables: A Benchmark for Assessing Abstract Moral Reasoning in LLMs with Fables.

Matteo Marcuzzo, Alessandro Zangari, Andrea Albarelli, José Camacho-Collados, Mohammad Taher Pilehvar

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Stop Overkilling Simple Tasks with Black-Box Models, Use More Transparent Models Instead.

Matteo Rizzo, Matteo Marcuzzo, Alessandro Zangari, Michele Schiavinato, Andrea Albarelli, Andrea Gasparetto

Proceedings of the Pattern Recognition and Artificial Intelligence, 2024

Crossing the Divide: Designing Layers of Explainability.

Alessandro Zangari, Matteo Marcuzzo, Matteo Rizzo, Andrea Albarelli, Andrea Gasparetto

Proceedings of the Artificial Intelligence and Soft Computing, 2024

2023

Ticket automation: An insight into current research with applications to multi-level classification scenarios.

Alessandro Zangari, Matteo Marcuzzo, Michele Schiavinato, Andrea Gasparetto, Andrea Albarelli

Expert Syst. Appl., September, 2023

2022

A Survey on Text Classification Algorithms: From Text to Predictions.

Andrea Gasparetto, Matteo Marcuzzo, Alessandro Zangari, Andrea Albarelli

Inf., 2022

Fruit Ripeness Classification: a Survey.

Matteo Rizzo, Matteo Marcuzzo, Alessandro Zangari, Andrea Gasparetto, Andrea Albarelli

CoRR, 2022

Recommendation Systems: An Insight Into Current Development and Future Research Challenges.

Matteo Marcuzzo, Alessandro Zangari, Andrea Albarelli, Andrea Gasparetto

IEEE Access, 2022

A multi-level approach for hierarchical Ticket Classification.

Matteo Marcuzzo, Alessandro Zangari, Michele Schiavinato, Lorenzo Giudice, Andrea Gasparetto, Andrea Albarelli

Proceedings of the Eighth Workshop on Noisy User-generated Text, 2022