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

Publications

Year Type Publication
Year Type Publication
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
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