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Salvatore Trani
Salvatore Trani
Researcher, ISTI-CNR
Verified email at isti.cnr.it
Title
Cited by
Cited by
Year
Learning relatedness measures for entity linking
D Ceccarelli, C Lucchese, S Orlando, R Perego, S Trani
Proceedings of the 22nd ACM international conference on Information …, 2013
1182013
Dexter: an open source framework for entity linking
D Ceccarelli, C Lucchese, S Orlando, R Perego, S Trani
Proceedings of the sixth international workshop on Exploiting semantic …, 2013
922013
Post-learning optimization of tree ensembles for efficient ranking
C Lucchese, FM Nardini, S Orlando, R Perego, F Silvestri, S Trani
Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016
372016
Dexter 2.0: an open source tool for semantically enriching data
S Trani, D Ceccarelli, C Lucchese, S Orlando, R Perego
Proceedings of the 2014 International Conference on Posters & Demonstrations …, 2014
332014
X-DART: blending dropout and pruning for efficient learning to rank
C Lucchese, FM Nardini, S Orlando, R Perego, S Trani
Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017
182017
SEL: A unified algorithm for entity linking and saliency detection
S Trani, D Ceccarelli, C Lucchese, S Orlando, R Perego
Proceedings of the 2016 ACM Symposium on Document Engineering, 85-94, 2016
182016
Rankeval: An evaluation and analysis framework for learning-to-rank solutions
C Lucchese, CI Muntean, FM Nardini, R Perego, S Trani
Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017
112017
X-CLEAVER: Learning Ranking Ensembles by Growing and Pruning Trees
C Lucchese, FM Nardini, S Orlando, R Perego, F Silvestri, S Trani
ACM Transactions on Intelligent Systems and Technology (TIST) 9 (6), 62, 2018
102018
SEL: A unified algorithm for salient entity linking
S Trani, C Lucchese, R Perego, DE Losada, D Ceccarelli, S Orlando
Computational Intelligence 34 (1), 2-29, 2018
102018
Selective gradient boosting for effective learning to rank
C Lucchese, FM Nardini, R Perego, S Orlando, S Trani
The 41st International ACM SIGIR Conference on Research & Development in …, 2018
92018
Manual annotation of semi-structured documents for entity-linking
S Trani, D Ceccarelli, C Lucchese, S Orlando, R Perego
Proceedings of the 23rd ACM International Conference on Conference on …, 2014
82014
The Impact of Negative Samples on Learning to Rank.
C Lucchese, FM Nardini, R Perego, S Trani
LEARNER@ ICTIR, 2017
52017
Query-level Early Exit for Additive Learning-to-Rank Ensembles
C Lucchese, FM Nardini, S Orlando, R Perego, S Trani
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
42020
Efficient traversal of decision tree ensembles with FPGAs
R Molina, F Loor, V Gil-Costa, FM Nardini, R Perego, S Trani
Journal of Parallel and Distributed Computing 155, 38-49, 2021
22021
Learning Early Exit Strategies for Additive Ranking Ensembles
F Busolin, C Lucchese, FM Nardini, S Orlando, R Perego, S Trani
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
22021
RankEval: Evaluation and investigation of ranking models
C Lucchese, CI Muntean, FM Nardini, R Perego, S Trani
SoftwareX 12, 100614, 2020
12020
Entity Linking on Philosophical Documents.
D Ceccarelli, A De Francesco, R Perego, M Segala, N Tonellotto, S Trani
IIR, 2015
12015
Distilled Neural Networks for Efficient Learning to Rank
FM Nardini, C Rulli, S Trani, R Venturini
IEEE Transactions on Knowledge and Data Engineering, 2022
2022
Ensemble Model Compression for Fast and Energy-Efficient Ranking on FPGAs
V Gil-Costa, F Loor, R Molina, FM Nardini, R Perego, S Trani
European Conference on Information Retrieval, 260-273, 2022
2022
Improving the Efficiency and Effectiveness of Document Understanding in Web Search
S Trani
2017
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Articles 1–20