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
- Website
-
www.unive.it/people/matteo.rizzo (personal record)
Publications
| Year | Type | Publication |
|---|---|---|
| Year | Type | Publication |
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|
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| 2025 | Journal Article |
Matteo Rizzo, Ebru Ayyurek, Andrea Albarelli, Andrea Gasparetto Leveraging Periodicity for Tabular Deep Learning in ELECTRONICS, vol. 14 (ISSN 2079-9292) DOI - URL correlato - ARCA card: 10278/5105076 |
| 2025 | Article in Conference Proceedings |
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) - ARCA card: 10278/5105052 |
| 2025 | Article in Conference Proceedings |
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 - ARCA card: 10278/5105029 |
| 2024 | Journal Article |
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 - ARCA card: 10278/5055640 |
| 2024 | Article in Conference Proceedings |
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 - ARCA card: 10278/5093691 |
| 2024 | Article in Conference Proceedings |
Matteo Rizzo, Cristina Conati, Daesik Jang, Hui Hu Evaluating the Faithfulness of Causality in Saliency-Based Explanations of Deep Learning Models for Temporal Colour Constancy , Explainable Artificial Intelligence, Springer Nature Switzerland, vol. 2155, pp. 125-142, Convegno: World Conference on Explainable Artificial Intelligence (ISBN 978-3-031-63800-8) (ISSN 1865-0929) DOI - ARCA card: 10278/5105074 |
| 2024 | Article in Conference Proceedings |
Albarelli A.; Lucchese C.; Rizzo M.; Veneri A. On the Application of a Common Theoretical Explainability Framework in Information Retrieval , CEUR Workshop Proceedings, CEUR-WS, vol. 3802, pp. 43-52, Convegno: 14th Italian Information Retrieval Workshop, IIR 2024, 2024 (ISSN 1613-0073) - ARCA card: 10278/5084247 |
| 2024 | Article in Conference Proceedings |
Rizzo M.; Marcuzzo M.; Zangari A.; Schiavinato M.; Albarelli A.; Gasparetto A. Stop Overkilling Simple Tasks with Black-Box Models, Use More Transparent Models Instead , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Science and Business Media Deutschland GmbH, vol. 14892, pp. 279-293, Convegno: 4th International Conference on Pattern Recognition and Artificial Intelligence, ICPRAI 2024, 2024 (ISBN 9789819787012; 9789819787029) (ISSN 0302-9743) DOI - ARCA card: 10278/5093692 |
| 2023 | Journal Article |
Matteo Rizzo, Matteo Marcuzzo, Alessandro Zangari , Andrea Gasparetto, Andrea Albarelli Fruit ripeness classification: A survey in ARTIFICIAL INTELLIGENCE IN AGRICULTURE, vol. 7, pp. 44-57 (ISSN 2589-7217) DOI - URL correlato - ARCA card: 10278/5017725 |
| 2023 | Article in Conference Proceedings |
Rizzo, Matteo; Veneri, Alberto; Albarelli, Andrea; Lucchese, Claudio; Nobile, Marco; Conati, Cristina A Theoretical Framework for AI Models Explainability with Application in Biomedicine , 2023 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), Piscataway, IEEE, pp. 1-9, Convegno: 2023 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 29/08/2023 - 31/08/2023 (ISBN 979-8-3503-1017-7) DOI - ARCA card: 10278/5042180 |