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

Publications

Year	Type	Publication
Year	Type	Publication

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

List of selected publications

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