Alberto VENERI

Position
Subject expert
E-mail
alberto.veneri@unive.it
860028@stud.unive.it
Website
www.unive.it/people/alberto.veneri (personal record)

Publications

Year Type Publication
Year Type Publication
2025 Journal Article 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)
- ARCA card: 10278/5106607
2024 Article in Conference Proceedings 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)
- ARCA card: 10278/5084247
2024 Article in Conference Proceedings 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 - ARCA card: 10278/5066021
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
2023 Article in Conference Proceedings 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 - ARCA card: 10278/5044867
2023 Article in Conference Proceedings 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 - ARCA card: 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 - ARCA card: 10278/5044868
2022 Article in Conference Proceedings 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 - ARCA card: 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)
- ARCA card: 10278/5004961