Federico MARCUZZI

Position
Subject expert
E-mail
federico.marcuzzi@unive.it
853770@stud.unive.it
Website
www.unive.it/people/federico.marcuzzi (personal record)
Office
Department of Environmental Sciences, Informatics and Statistics
Website: https://www.unive.it/dep.dais

Marcuzzi F.; Lucchese C.; Orlando S. LambdaFair for Fair and Effective Ranking , Advances in Information Retrieval: 47th European Conference on Information Retrieval, Association for Computing Machinery, Inc, vol. 15575 LNCS, pp. 197-213, Convegno: 47th European Conference on Information Retrieval (ISBN 9783031887161; 9783031887178)
DOI 2025, Article in Conference Proceedings - ARCA card: 10278/5106673


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


Federico Marcuzzi, Claudio Lucchese, Salvatore Orlando LambdaFair: a Fair and Effective LambdaMART , CEUR Workshop Proceedings, CEUR-WS, vol. 3802-86, Convegno: 14th Italian Information Retrieval Workshop, IIR 2024
2024, Abstract in Atti di convegno - ARCA card: 10278/5106672


Calzavara S.; Cazzaro L.; Lucchese C.; Marcuzzi F. Explainable Global Fairness Verification of Tree-Based Classifiers , Proceedings - 2023 IEEE Conference on Secure and Trustworthy Machine Learning, SaTML 2023, Institute of Electrical and Electronics Engineers Inc., pp. 1-17, Convegno: 2023 IEEE Conference on Secure and Trustworthy Machine Learning, SaTML 2023, 2023 (ISBN 978-1-6654-6299-0)
DOI 2023, Article in Conference Proceedings - ARCA card: 10278/5028100


Marcuzzi F.; Lucchese C.; Orlando S. LambdaRank Gradients are Incoherent , CIKM 2023: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, Association for Computing Machinery, Inc, pp. 1777-1786, Convegno: 32nd ACM International Conference on Information and Knowledge Management, 2023 (ISBN 9798400701245)
DOI 2023, Article in Conference Proceedings - ARCA card: 10278/5044721