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

Pubblicazioni

Anno Tipologia Pubblicazione
Anno Tipologia Pubblicazione
2025 Articolo su rivista Matteo Rizzo, Ebru Ayyurek, Andrea Albarelli, Andrea Gasparetto Leveraging Periodicity for Tabular Deep Learning in ELECTRONICS, vol. 14 (ISSN 2079-9292)
DOI - URL correlato - Scheda ARCA: 10278/5105076
2025 Articolo su rivista 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)
- Scheda ARCA: 10278/5106607
2025 Articolo in Atti di convegno 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)
- Scheda ARCA: 10278/5105052
2025 Articolo in Atti di convegno 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 - Scheda ARCA: 10278/5105029
2024 Articolo su rivista 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 - Scheda ARCA: 10278/5055640
2024 Articolo in Atti di convegno 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 - Scheda ARCA: 10278/5093691
2024 Articolo in Atti di convegno 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 - Scheda ARCA: 10278/5105074
2024 Articolo in Atti di convegno 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)
- Scheda ARCA: 10278/5084247
2024 Articolo in Atti di convegno 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 - Scheda ARCA: 10278/5093692
2023 Articolo su rivista 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 - Scheda ARCA: 10278/5017725
2023 Articolo in Atti di convegno 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 - Scheda ARCA: 10278/5042180