Alberto VENERI

Qualifica
Cultore della materia
E-mail
alberto.veneri@unive.it
860028@stud.unive.it
Sito web
www.unive.it/persone/alberto.veneri (scheda personale)

Pubblicazioni

Anno Tipologia Pubblicazione
Anno Tipologia Pubblicazione
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
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 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 - Scheda ARCA: 10278/5066021
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
2023 Articolo in Atti di convegno 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 - Scheda ARCA: 10278/5044867
2023 Articolo in Atti di convegno 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 - Scheda ARCA: 10278/5003875
2023 Abstract in Atti di convegno Veneri A. Explaining Learning to Rank Methods to Improve Them , International Conference on Information and Knowledge Management, Proceedings, Association for Computing Machinery, pp. 5185-5188, Convegno: 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, 2023 (ISBN 9798400701245)
DOI - Scheda ARCA: 10278/5044868
2022 Articolo in Atti di convegno Lucchese, Claudio; Nardini, Franco Maria; Orlando, Salvatore; Perego, Raffaele; Veneri, Alberto ILMART: Interpretable Ranking with Constrained LambdaMART , SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, New York, Association for Computing Machinery, Inc, pp. 2255-2259, Convegno: 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, 11/07/2022-15/07/2022 (ISBN 9781450387323)
DOI - Scheda ARCA: 10278/5000931
2022 Abstract in Atti di convegno Lucchese C.; Nardini F.M.; Orlando S.; Perego R.; Veneri A. Interpretable Ranking Using LambdaMART (Abstract) , CEUR Workshop Proceedings, CEUR-WS, vol. 3177, Convegno: 12th Italian Information Retrieval Workshop, IIR 2022, 2022 (ISSN 1613-0073)
- Scheda ARCA: 10278/5004961