Matteo RIZZO

Position
PhD Student
Dottorato
INFORMATICA
38° Ciclo - Immatricolati nel 2022
Area tematica
PNRR - Deep learning for explainable food recognition, characterization and quality assessment
Supervisore
Albarelli Andrea / Lucchese Claudio
E-mail
matteo.rizzo@unive.it
956738@stud.unive.it
Website
www.unive.it/people/matteo.rizzo (personal record)
Office
Department of Environmental Sciences, Informatics and Statistics
Website: https://www.unive.it/dep.dais

Matteo Rizzo, Ebru Ayyurek, Andrea Albarelli, Andrea Gasparetto Leveraging Periodicity for Tabular Deep Learning in ELECTRONICS, vol. 14 (ISSN 2079-9292)
DOI - URL correlato 2025, Journal Article - ARCA card: 10278/5105076


Rizzo M.; Ressi D.; Gasparetto A.; Rossi S. A Comparison of Machine Learning Techniques for Ethereum Smart Contract Vulnerability Detection , CEUR Workshop Proceedings, CEUR-WS, vol. 3904, pp. 119-126, Convegno: 6th International Workshop on Artificial Intelligence and Formal Verification, Logic, Automata, and Synthesis, OVERLAY 2024, 2024 (ISSN 1613-0073)
2025, Article in Conference Proceedings - ARCA card: 10278/5105052


Frasson, Giada; Rizzo, Matteo; Nobile, Marco Salvatore; Lupi, Amalia; Quaia, Emilio Assessing the Value of Explainable Artificial Intelligence for Magnetic Resonance Imaging , Explainable Artificial Intelligence. xAI 2025., Springer, pp. 423-447, Convegno: World Conference on Explainable Artificial Intelligence (ISBN 9783032083166; 9783032083173) (ISSN 1865-0929)
DOI 2025, Article in Conference Proceedings - ARCA card: 10278/5105029


Zangari, Alessandro; Marcuzzo, Matteo; Rizzo, Matteo; Giudice, Lorenzo; Albarelli, Andrea; Gasparetto, Andrea Hierarchical Text Classification and Its Foundations: A Review of Current Research in ELECTRONICS, vol. 13 (ISSN 2079-9292)
DOI - URL correlato 2024, Journal Article - ARCA card: 10278/5055640


Alessandro Zangari; Matteo Marcuzzo; Matteo Rizzo; Andrea Albarelli; Andrea Gasparetto Crossing the Divide: Designing Layers of Explainability , Lecture Notes in Artificial Intelligence (LNAI, volume 15164), Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada, pp. 253-265, Convegno: International Conference on Artificial Intelligence and Soft Computing, 16/06/2024-20/06/2024 (ISBN 9783031843525; 9783031843532) (ISSN 0302-9743)
DOI 2024, Article in Conference Proceedings - ARCA card: 10278/5093691