Alberto VENERI

Position
PhD Student
Dottorato
INFORMATICA
37° Ciclo - Immatricolati nel 2021
Area tematica
Deep learning techniques for next generation contextaware recommendation and search systems
Supervisore
Lucchese Claudio
E-mail
alberto.veneri@unive.it
860028@stud.unive.it
Website
www.unive.it/people/alberto.veneri (personal record)
Office
Department of Environmental Sciences, Informatics and Statistics
Website: https://www.unive.it/dep.dais

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)
2024, Article in Conference Proceedings - ARCA card: 10278/5084247


Scantamburlo, Teresa; Falcarin, Paolo; Veneri, Alberto; Fabris, Alessandro; Gallese, Chiara; Billa, Valentina; Rotolo, Francesca; Marcuzzi, Federico Software Systems Compliance with the AI Act: Lessons Learned from an International Challenge , Proceedings of the 2nd International Workshop on Responsible AI Engineering, Association for Computing Machinery, pp. 44-51, Convegno: 2024 IEEE/ACM International Workshop on Responsible AI Engineering (RAIE), 24/04/2024 (ISBN 9798400705724)
DOI - URL correlato 2024, Article in Conference Proceedings - ARCA card: 10278/5066021


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 2023, Article in Conference Proceedings - ARCA card: 10278/5042180


Lucchese C.; Orlando S.; Minello G.; Perego R.; Nardini F.M.; Veneri A. Can Embeddings Analysis Explain Large Language Model Ranking? , International Conference on Information and Knowledge Management, Proceedings, Association for Computing Machinery, pp. 4150-4154, Convegno: 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, 2023 (ISBN 9798400701245)
DOI 2023, Article in Conference Proceedings - ARCA card: 10278/5044867


Lucchese C.; Orlando S.; Perego R.; Veneri A. GAM Forest Explanation , EDBT 2023 - Proceedings 26th International Conference on Extending Database Technology, OpenProceedings.org, vol. 26, pp. 171-182, Convegno: 26th International Conference on Extending Database Technology, 2023 (ISBN 978-3-89318-088-2)
DOI 2023, Article in Conference Proceedings - ARCA card: 10278/5003875