Alberto VENERI

Qualifica
Dottorando
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
Sito web
www.unive.it/persone/alberto.veneri (scheda personale)
Struttura
Dipartimento di Scienze Ambientali, Informatica e Statistica
Sito web struttura: https://www.unive.it/dais

Pubblicazioni

Anno Tipologia Pubblicazione
Anno Tipologia Pubblicazione
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