Francesco BUSOLIN

Position
Research Grant Holder
E-mail
francesco.busolin@unive.it
851884@stud.unive.it
Website
www.unive.it/people/francesco.busolin (personal record)
Office
Department of Environmental Sciences, Informatics and Statistics
Website: https://www.unive.it/dep.dais

Busolin F.; Lucchese C.; Nardini F.M.; Orlando S.; Perego R.; Trani S.; Veneri A. Efficient Re-ranking with Cross-encoders via Early Exit , SIGIR 2025 - Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 1601 Broadway, 10th Floor, NEW YORK, NY, UNITED STATES, Association for Computing Machinery, Inc, pp. 2534-2544, Convegno: 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, 2025
DOI 2025, Article in Conference Proceedings - ARCA card: 10278/5112007


Francesco Busolin;Claudio Lucchese;Franco Maria Nardini;Salvatore Orlando;Raffaele Perego;Salvatore Trani Early Exit Strategies for Approximate k-NN Search in Dense Retrieval in Francesco Busolin; Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando; Raffaele Perego; Salvatore Trani, CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, New York, Association for Computing Machinery, pp. 3647-3652, Convegno: CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management, 21/10/2024-25/10/2024 (ISBN 979-8-4007-0436-9)
DOI - URL correlato 2024, Article in Conference Proceedings - ARCA card: 10278/5081787


Busolin, Francesco; Lucchese, Claudio; Nardini, Franco Maria; Orlando, Salvatore; Perego, Raffaele; Trani, Salvatore Early Exit Strategies for Learning-to-Rank Cascades in IEEE ACCESS, vol. Online (ISSN 2169-3536)
DOI 2023, Journal Article - ARCA card: 10278/5043380


Busolin F.; Lucchese C.; Nardini F.M.; Orlando S.; Perego R.; Trani S. Learning Early Exit Strategies for Additive Ranking Ensembles , SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Association for Computing Machinery, Inc, pp. 2217-2221, Convegno: 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2021, 2021 (ISBN 9781450380379)
DOI 2021, Article in Conference Proceedings - ARCA card: 10278/3743016