Cite-as-you-write. - Kris Jack; Maurizio Sambati; Fabrizio Silvestri; Salvatore Trani; Rossano Venturini (ERCIM News, 2012)

Learning relatedness measures for entity linking. - Diego Ceccarelli; Claudio Lucchese; Salvatore Orlando 001; Raffaele Perego 001; Salvatore Trani (CIKM, 2013)

Dexter: an open source framework for entity linking. - Diego Ceccarelli; Claudio Lucchese; Salvatore Orlando 001; Raffaele Perego 001; Salvatore Trani (ESAIR, 2013)

InGeoCloudS: A Cloud-Based Platform for Sharing Geodata Across Europe. - Claudio Lucchese; Raffaele Perego 001; Salvatore Trani; Makis Atzemoglou; Benoit Baurens; Dimitris Kotzinos (ERCIM News, 2013)

Manual Annotation of Semi-Structured Documents for Entity-Linking. - Salvatore Trani; Diego Ceccarelli; Claudio Lucchese; Salvatore Orlando 001; Raffaele Perego 001 (CIKM, 2014)

Dexter 2.0 - an Open Source Tool for Semantically Enriching Data. - Diego Ceccarelli; Claudio Lucchese; Salvatore Orlando 001; Raffaele Perego 001; Salvatore Trani (ISWC (Posters & Demos), 2014)

Entity Linking on Philosophical Documents. - Diego Ceccarelli; Alberto De Francesco; Raffaele Perego 001; Marco Segala; Nicola Tonellotto; Salvatore Trani (IIR, 2015)

SEL: A Unified Algorithm for Entity Linking and Saliency Detection. - Salvatore Trani; Diego Ceccarelli; Claudio Lucchese; Salvatore Orlando 001; Raffaele Perego 001 (DocEng, 2016)

Post-Learning Optimization of Tree Ensembles. - Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Fabrizio Silvestri; Salvatore Trani (IIR, 2016)

Post-Learning Optimization of Tree Ensembles for Efficient Ranking. - Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Fabrizio Silvestri; Salvatore Trani (SIGIR, 2016)

The Impact of Negative Samples on Learning to Rank. - Claudio Lucchese; Franco Maria Nardini; Raffaele Perego 001; Salvatore Trani (LEARNER@ICTIR, 2017)

RankEval: An Evaluation and Analysis Framework for Learning-to-Rank Solutions. - Claudio Lucchese; Cristina Ioana Muntean; Franco Maria Nardini; Raffaele Perego 001; Salvatore Trani (SIGIR, 2017)

X-DART: Blending Dropout and Pruning for Efficient Learning to Rank. - Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Salvatore Trani (SIGIR, 2017)

Improving the Efficiency and Effectiveness of Document Understanding in Web Search. - Salvatore Trani (2017)

Selective Gradient Boosting for Effective Learning to Rank. - Claudio Lucchese; Franco Maria Nardini; Raffaele Perego 001; Salvatore Orlando 001; Salvatore Trani (SIGIR, 2018)

SEL: A unified algorithm for salient entity linking. - Salvatore Trani; Claudio Lucchese; Raffaele Perego 001; David E. Losada; Diego Ceccarelli; Salvatore Orlando 001 (Comput. Intell., 2018)

X-CLEaVER: Learning Ranking Ensembles by Growing and Pruning Trees. - Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Fabrizio Silvestri; Salvatore Trani (ACM Trans. Intell. Syst. Technol., 2018)

Query-level Early Exit for Additive Learning-to-Rank Ensembles. - Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Salvatore Trani (SIGIR, 2020)

RankEval: Evaluation and investigation of ranking models. - Claudio Lucchese; Cristina Ioana Muntean; Franco Maria Nardini; Raffaele Perego 001; Salvatore Trani (SoftwareX, 2020)

Learning Early Exit Strategies for Additive Ranking Ensembles. - Francesco Busolin; Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Salvatore Trani (SIGIR, 2021)

Efficient traversal of decision tree ensembles with FPGAs. - Romina Molina; Fernando Loor; Veronica Gil-Costa; Franco Maria Nardini; Raffaele Perego 001; Salvatore Trani (J. Parallel Distributed Comput., 2021)

Ensemble Model Compression for Fast and Energy-Efficient Ranking on FPGAs. - Veronica Gil-Costa; Fernando Loor; Romina Molina; Franco Maria Nardini; Raffaele Perego 001; Salvatore Trani (ECIR (1), 2022)

Energy-Efficient Ranking on FPGAs through Ensemble Model Compression (Abstract). - Veronica Gil-Costa; Fernando Loor; Romina Molina; Franco Maria Nardini; Raffaele Perego 001; Salvatore Trani (IIR, 2022)

A Federated Cloud Solution for Transnational Mobility Data Sharing. - Emanuele Carlini; Thierry Chevalier; Patrizio Dazzi; Francesco Lettich; Raffaele Perego 001; Chiara Renso; Salvatore Trani (SEBD, 2022)

A Pragmatic Approach to Neural Information Retrieval. - Franco Maria Nardini; Salvatore Trani (SEBD, 2022)

Early Exit Strategies for Learning-to-Rank Cascades. - Francesco Busolin; Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Salvatore Trani (IEEE Access, 2023)

Distilled Neural Networks for Efficient Learning to Rank. - Franco Maria Nardini; Cosimo Rulli; Salvatore Trani; Rossano Venturini (IEEE Trans. Knowl. Data Eng., 2023)

Early Exit Strategies for Approximate k-NN Search in Dense Retrieval. - Francesco Busolin; Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Salvatore Trani (CIKM, 2024)

Deep Community Detection in Attributed Temporal Graphs: Experimental Evaluation of Current Approaches. - Nelson A. R. A. Passos; Emanuele Carlini; Salvatore Trani (GNNet@CoNEXT, 2024)

Distilled Neural Networks for Efficient Learning to Rank: (Extended Abstract). - Franco Maria Nardini; Cosimo Rulli; Salvatore Trani; Rossano Venturini (ICDE, 2024)

LongDoc Summarization using Instruction-tuned Large Language Models for Food Safety Regulations. - Guido Rocchietti; Cosimo Rulli; Korbinian Randl; Cristina Ioana Muntean; Franco Maria Nardini; Raffaele Perego 001; Salvatore Trani; Manos Karvounis; Jakub Janostik (IIR, 2024)

Early Exit Strategies for Approximate k-NN Search in Dense Retrieval. - Francesco Busolin; Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Salvatore Trani (CoRR, 2024)

Power- and Fragmentation-aware Online Scheduling for GPU Datacenters. - Francesco Lettich; Emanuele Carlini; Franco Maria Nardini; Raffaele Perego 001; Salvatore Trani (CoRR, 2024)

Efficient Re-ranking with Cross-encoders via Early Exit. - Francesco Busolin; Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Salvatore Trani; Alberto Veneri (SIGIR, 2025)

Neural network compression using binarization and few full-precision weights. - Franco Maria Nardini; Cosimo Rulli; Salvatore Trani; Rossano Venturini (Inf. Sci., 2025)