Francesco BUSOLIN

Position
PhD Student
Dottorato
INFORMATICA
37° Ciclo - Immatricolati nel 2021
Area tematica
Improve Learning To Rank systems with accessory models
Supervisore
Orlando Salvatore / Lucchese Claudio
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

Publications

Anno Tipologia Pubblicazione
Anno Tipologia Pubblicazione
2023 Articolo su rivista 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 - Scheda ARCA: 10278/5043380
2021 Articolo in Atti di convegno 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 - Scheda ARCA: 10278/3743016