Salvatore Trani
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
9
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CCGRID | Power- and Fragmentation-Aware Online Scheduling for GPU Datacenters. | Francesco Lettich, Emanuele Carlini, Franco Maria Nardini, Raffaele Perego, Salvatore Trani |
| 2025 | EMNLP | FoodSafeSum: Enabling Natural Language Processing Applications for Food Safety Document Summarization and Analysis. | Juli Bakagianni, Korbinian Randl, Guido Rocchietti, Cosimo Rulli, Franco Maria Nardini, Salvatore Trani, Aron Henriksson, Anna Romanova, John Pavlopoulos |
| 2025 | ISCC | TADC-SBM: a Time-varying, Attributed, Degree-Corrected Stochastic Block Model. | Nelson A. R. A. Passos, Emanuele Carlini, Salvatore Trani |
| 2025 | SIGIR | Efficient Re-ranking with Cross-encoders via Early Exit. | Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani, Alberto Veneri |
| 2024 | CIKM | Early Exit Strategies for Approximate | Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani |
| 2024 | ICDE | Distilled Neural Networks for Efficient Learning to Rank: (Extended Abstract). | Franco Maria Nardini, Cosimo Rulli, Salvatore Trani, Rossano Venturini |
| 2022 | ECIR | Ensemble Model Compression for Fast and Energy-Efficient Ranking on FPGAs. | Veronica Gil-Costa, Fernando Loor, Romina Molina, Franco Maria Nardini, Raffaele Perego, Salvatore Trani |
| 2021 | SIGIR | Learning Early Exit Strategies for Additive Ranking Ensembles. | Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani |
| 2020 | SIGIR | Query-level Early Exit for Additive Learning-to-Rank Ensembles. | Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani |
| 2018 | SIGIR | Selective Gradient Boosting for Effective Learning to Rank. | Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Salvatore Orlando, Salvatore Trani |
| 2017 | ICTIR | The Impact of Negative Samples on Learning to Rank. | Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Salvatore Trani |
| 2017 | SIGIR | RankEval: An Evaluation and Analysis Framework for Learning-to-Rank Solutions. | Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Salvatore Trani |
| 2017 | SIGIR | X-DART: Blending Dropout and Pruning for Efficient Learning to Rank. | Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani |
| 2016 | DocEng | SEL: A Unified Algorithm for Entity Linking and Saliency Detection. | Salvatore Trani, Diego Ceccarelli, Claudio Lucchese, Salvatore Orlando, Raffaele Perego |
| 2016 | SIGIR | Post-Learning Optimization of Tree Ensembles for Efficient Ranking. | Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Salvatore Trani |
| 2014 | CIKM | Manual Annotation of Semi-Structured Documents for Entity-Linking. | Salvatore Trani, Diego Ceccarelli, Claudio Lucchese, Salvatore Orlando, Raffaele Perego |
| 2013 | CIKM | Learning relatedness measures for entity linking. | Diego Ceccarelli, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Salvatore Trani |
| 2013 | CIKM | Dexter: an open source framework for entity linking. | Diego Ceccarelli, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Salvatore Trani |