Salvatore ORLANDO

Position
Full Professor
Roles
Management Committee member of the University Scientific Instrumentation Service Center (CSA)
Academic Senate
Director of the Department of Environmental Sciences, Informatics and Statistics
Telephone
041 234 8428
E-mail
orlando@unive.it
call-cs.dais@unive.it - Call for Faculty Positions - CS
Scientific sector (SSD)
Informatica [INFO-01/A]
Website
www.unive.it/people/orlando (personal record)
 http://www.dsi.unive.it/~orlando
Office
Department of Environmental Sciences, Informatics and Statistics (Department Director)
Website: https://www.unive.it/dep.dais
Where: Campus scientifico via Torino
Room: office Z.B14 (Zeta B building)
Office
Interconnected Nord-Est Innovation Ecosystem - Temporary Project Centre
Research Institute
Research Institute for Social Innovation
Research Institute
Research Institute for Complexity

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


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 2023, Article in Conference Proceedings - ARCA card: 10278/5044867


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 2023, Article in Conference Proceedings - ARCA card: 10278/5003875


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