Matteo RIZZO

Qualifica
Dottorando
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
Sito web
www.unive.it/persone/matteo.rizzo (scheda personale)
Struttura
Dipartimento di Scienze Ambientali, Informatica e Statistica
Sito web struttura: https://www.unive.it/dais

Rizzo, Matteo; Spanò, Alvise; Benetollo, Lorenzo; Ressi, Dalila; Gasparetto, Andrea; Rossi, Sabina Advanced Large Language Models Prompting Strategies for Reentrancy Classification and Explanation in Smart Contracts in Matteo Rizzo; Alvise Spanò; Lorenzo Benetollo; Dalila Ressi; Andrea Gasparetto; Sabina Rossi, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Springer Science and Business Media Deutschland GmbH, vol. 669, pp. 37-56, Convegno: 4th EAI International Conference on Blockchain Technology and Emerging Applications, BlockTEA 2025, 2025 (ISBN 9783032123343; 9783032123350) (ISSN 1867-8211)
DOI 2026, Articolo in Atti di convegno - Scheda ARCA: 10278/5113990


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, Articolo su rivista - Scheda ARCA: 10278/5105076


Matteo Rizzo, Alberto Veneri, Matteo Marcuzzo, Alessandro Zangari, Andrea Albarelli, Claudio Lucchese, Marco Salvatore Nobile, Cristina Conati Machine Learning Models Explanations As Interpretations of Evidence: A Theoretical Framework of Explainability and Its Implications on High-Stakes Biomedical Decision-Making in BMC MEDICAL RESEARCH METHODOLOGY, vol. 24 (ISSN 1471-2288)
2025, Articolo su rivista - Scheda ARCA: 10278/5106607


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, Articolo in Atti di convegno - Scheda ARCA: 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, Articolo in Atti di convegno - Scheda ARCA: 10278/5105029