Salvatore ORLANDO

Position
Full Professor
Roles
Director of the Department of Environmental Sciences, Informatics and Statistics
Academic Senate
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