Alessandro ZANGARI

Position
PhD Student
Dottorato
INFORMATICA
38° Ciclo - Immatricolati nel 2022
Area tematica
"PNRR iNEST: AI e Natural Language Processing (NLP)"
Supervisore
Andrea Albarelli / Stefano Calzavara
E-mail
alessandro.zangari@unive.it
956721@stud.unive.it
Website
www.unive.it/people/alessandro.zangari (personal record)
Office
Department of Environmental Sciences, Informatics and Statistics
Website: https://www.unive.it/dep.dais
Office
Interconnected Nord-Est Innovation Ecosystem - Temporary Project Centre

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 Journal Article Alessandro Zangari, Matteo Marcuzzo, Michele Schiavinato, Andrea Gasparetto, Andrea Albarelli Ticket Automation: an Insight into Current Research with Applications to Multi-level Classification Scenarios in EXPERT SYSTEMS WITH APPLICATIONS, vol. 225 (ISSN 0957-4174)
DOI - ARCA card: 10278/5017706
2022 Journal Article Gasparetto, A; Marcuzzo, M; Zangari, A; Albarelli, A A Survey on Text Classification Algorithms: From Text to Predictions in INFORMATION, vol. 13, pp. 83 (ISSN 2078-2489)
DOI - ARCA card: 10278/5017704
2022 Journal Article Gasparetto, Andrea; Zangari, Alessandro; Marcuzzo, Matteo; Albarelli, Andrea A survey on text classification: Practical perspectives on the Italian language in PLOS ONE, vol. 17, pp. e0270904 (ISSN 1932-6203)
DOI - ARCA card: 10278/5017701
2022 Journal Article Marcuzzo, M; Zangari, A; Albarelli, A; Gasparetto, A Recommendation Systems: An Insight Into Current Development and Future Research Challenges in IEEE ACCESS, vol. 10, pp. 86578-86623 (ISSN 2169-3536)
DOI - ARCA card: 10278/5017702
2022 Article in Conference Proceedings Marcuzzo Matteo, Zangari Alessandro, Schiavinato Michele, Giudice Lorenzo, Gasparetto Andrea, Albarelli Andrea A multi-level approach for hierarchical Ticket Classification , Proceedings of the Eighth Workshop on Noisy User-generated Text (W-NUT 2022), Wei Xu, Afshin Rahimi, Alan Ritter, Tim Baldwin, pp. 201-214, Convegno: 8th Workshop on Noisy User-generated Text (W-NUT 2022), 12-17 Ottobre, 2022
- ARCA card: 10278/5017705