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Claudio Lucchese
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Publications
- 2023
- [j33]Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani:
Early Exit Strategies for Learning-to-Rank Cascades. IEEE Access 11: 126691-126704 (2023) - [j32]Sebastian Bruch, Claudio Lucchese, Franco Maria Nardini:
Efficient and Effective Tree-based and Neural Learning to Rank. Found. Trends Inf. Retr. 17(1): 1-123 (2023) - [c100]Claudio Lucchese, Giorgia Minello, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri:
Can Embeddings Analysis Explain Large Language Model Ranking? CIKM 2023: 4150-4154 - [i21]Sebastian Bruch, Claudio Lucchese, Franco Maria Nardini:
Efficient and Effective Tree-based and Neural Learning to Rank. CoRR abs/2305.08680 (2023) - 2022
- [j29]Sebastian Bruch, Claudio Lucchese, Franco Maria Nardini:
Report on the 1st Workshop on Reaching Efficiency in Neural Information Retrieval (ReNeuIR 2022) at SIGIR 2022. SIGIR Forum 56(2): 12:1-12:14 (2022) - [c94]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri:
Interpretable Ranking Using LambdaMART (Abstract). IIR 2022 - [c90]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri:
ILMART: Interpretable Ranking with Constrained LambdaMART. SIGIR 2022: 2255-2259 - [c89]Sebastian Bruch, Claudio Lucchese, Franco Maria Nardini:
ReNeuIR: Reaching Efficiency in Neural Information Retrieval. SIGIR 2022: 3462-3465 - [i20]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri:
ILMART: Interpretable Ranking with Constrained LambdaMART. CoRR abs/2206.00473 (2022) - 2021
- [c87]Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani:
Learning Early Exit Strategies for Additive Ranking Ensembles. SIGIR 2021: 2217-2221 - [i17]Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani:
Learning Early Exit Strategies for Additive Ranking Ensembles. CoRR abs/2105.02568 (2021) - 2020
- [j25]Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Salvatore Trani:
RankEval: Evaluation and investigation of ranking models. SoftwareX 12: 100614 (2020) - [c84]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani:
Query-level Early Exit for Additive Learning-to-Rank Ensembles. SIGIR 2020: 2033-2036 - [i13]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani:
Query-level Early Exit for Additive Learning-to-Rank Ensembles. CoRR abs/2004.14641 (2020) - 2019
- [j24]Francesco Lettich, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini:
Parallel Traversal of Large Ensembles of Decision Trees. IEEE Trans. Parallel Distributed Syst. 30(9): 2075-2089 (2019) - [c82]Claudio Lucchese, Franco Maria Nardini, Rama Kumar Pasumarthi, Sebastian Bruch, Michael Bendersky, Xuanhui Wang, Harrie Oosterhuis, Rolf Jagerman, Maarten de Rijke:
Learning to Rank in Theory and Practice: From Gradient Boosting to Neural Networks and Unbiased Learning. SIGIR 2019: 1419-1420 - 2018
- [j22]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Salvatore Trani:
X-CLEaVER: Learning Ranking Ensembles by Growing and Pruning Trees. ACM Trans. Intell. Syst. Technol. 9(6): 62:1-62:26 (2018) - [c80]Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Roberto Trani, Rossano Venturini:
Efficient and Effective Query Expansion for Web Search. CIKM 2018: 1551-1554 - [c79]Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Salvatore Orlando, Salvatore Trani:
Selective Gradient Boosting for Effective Learning to Rank. SIGIR 2018: 155-164 - 2017
- [j21]Mauro Coletto, Andrea Esuli, Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Chiara Renso:
Perception of social phenomena through the multidimensional analysis of online social networks. Online Soc. Networks Media 1: 14-32 (2017) - [c76]Claudio Lucchese, Franco Maria Nardini:
Efficiency/Effectiveness Trade-offs in Learning to Rank. ICTIR 2017: 329-330 - [c74]Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Salvatore Trani:
The Impact of Negative Samples on Learning to Rank. LEARNER@ICTIR 2017 - [c72]Francesco Lettich, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini:
Multicore/Manycore Parallel Traversal of Large Forests of Regression Trees. HPCS 2017: 915 - [c71]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini:
QuickScorer: Efficient Traversal of Large Ensembles of Decision Trees. ECML/PKDD (3) 2017: 383-387 - [c68]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani:
X-DART: Blending Dropout and Pruning for Efficient Learning to Rank. SIGIR 2017: 1077-1080 - [c67]Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Salvatore Trani:
RankEval: An Evaluation and Analysis Framework for Learning-to-Rank Solutions. SIGIR 2017: 1281-1284 - 2016
- [j16]Gabriele Capannini, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto:
Quality versus efficiency in document scoring with learning-to-rank models. Inf. Process. Manag. 52(6): 1161-1177 (2016) - [j15]Domenico Dato, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini:
Fast Ranking with Additive Ensembles of Oblivious and Non-Oblivious Regression Trees. ACM Trans. Inf. Syst. 35(2): 15:1-15:31 (2016) - [c66]Mauro Coletto, Andrea Esuli, Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Chiara Renso:
Sentiment-enhanced multidimensional analysis of online social networks: Perception of the mediterranean refugees crisis. ASONAM 2016: 1270-1277 - [c62]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Gabriele Tolomei:
Learning to Rank User Queries to Detect Search Tasks. ICTIR 2016: 157-166 - [c61]Andrea Gigli, Claudio Lucchese, Franco Maria Nardini, Raffaele Perego:
Fast Feature Selection for Learning to Rank. ICTIR 2016: 167-170 - [c59]Francesco Lettich, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini:
GPU-based Parallelization of QuickScorer to Speed-up Document Ranking with Tree Ensembles. IIR 2016 - [c58]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Salvatore Trani:
Post-Learning Optimization of Tree Ensembles. IIR 2016 - [c57]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini:
Speeding-up Document Scoring with Tree Ensembles using CPU SIMD Extensions. IIR 2016 - [c56]Domenico Dato, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini:
Ranking Documents Effciently with QuickScorer. SEBD 2016: 166-173 - [c55]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini:
Exploiting CPU SIMD Extensions to Speed-up Document Scoring with Tree Ensembles. SIGIR 2016: 833-836 - [c53]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Salvatore Trani:
Post-Learning Optimization of Tree Ensembles for Efficient Ranking. SIGIR 2016: 949-952 - [i8]Mauro Coletto, Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Andrea Esuli, Chiara Renso, Raffaele Perego:
Sentiment-enhanced Multidimensional Analysis of Online Social Networks: Perception of the Mediterranean Refugees Crisis. CoRR abs/1605.01895 (2016) - [i4]Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Salvatore Orlando, Rossano Venturini:
Fast Traversal of Large Ensembles of Regression Trees. ERCIM News 2016(107) (2016) - 2015
- [c51]Gabriele Capannini, Domenico Dato, Claudio Lucchese, Monica Mori, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto:
QuickRank: a C++ Suite of Learning to Rank Algorithms. IIR 2015 - [c47]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini:
QuickScorer: A Fast Algorithm to Rank Documents with Additive Ensembles of Regression Trees. SIGIR 2015: 73-82 - [c46]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto:
Speeding up Document Ranking with Rank-based Features. SIGIR 2015: 895-898 - 2013
- [c40]Diego Ceccarelli, Sergiu Gordea, Claudio Lucchese, Franco Maria Nardini, Raffaele Perego:
On Suggesting Entities as Web Search Queries. IIR 2013: 37-40 - [c38]Diego Ceccarelli, Sergiu Gordea, Claudio Lucchese, Franco Maria Nardini, Raffaele Perego:
When entities meet query recommender systems: semantic search shortcuts. SAC 2013: 933-938 - 2011
- [c32]Diego Ceccarelli, Sergiu Gordea, Claudio Lucchese, Franco Maria Nardini, Gabriele Tolomei:
Improving Europeana Search Experience Using Query Logs. TPDL 2011: 384-395 - [i2]Diego Ceccarelli, Sergiu Gordea, Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Gabriele Tolomei:
Discovering Europeana Users' Search Behavior. ERCIM News 2011(86) (2011)
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