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ORCIDClaudio Lucchese
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- affiliation: National Research Council, Italy
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2020 – today
- 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)- [j31]Stefano Calzavara, Pietro Ferrara, Claudio Lucchese:
Certifying machine learning models against evasion attacks by program analysis. J. Comput. Secur. 31(1): 57-84 (2023) - [c98]Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Alberto Veneri:
GAM Forest Explanation. EDBT 2023: 171-182 - [c97]Claudio Lucchese, Federico Marcuzzi, Salvatore Orlando:
Does LambdaMART Do What You Expect? IIR 2023: 72 - [c96]Claudio Lucchese, Federico Marcuzzi, Salvatore Orlando:
On the Effect of Low-Ranked Documents: A New Sampling Function for Selective Gradient Boosting. SAC 2023: 646-652 - [i22]Simon Koschel, Sebastian Buschjäger, Claudio Lucchese, Katharina Morik:
Fast Inference of Tree Ensembles on ARM Devices. CoRR abs/2305.08579 (2023) - [i21]Sebastian Bruch, Claudio Lucchese, Franco Maria Nardini:
Efficient and Effective Tree-based and Neural Learning to Rank. CoRR abs/2305.08680 (2023) - 2022
- [j30]Stefano Calzavara, Lorenzo Cazzaro, Claudio Lucchese, Federico Marcuzzi, Salvatore Orlando:
Beyond robustness: Resilience verification of tree-based classifiers. Comput. Secur. 121: 102843 (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) - [c95]Federico Marcuzzi, Claudio Lucchese, Salvatore Orlando:
Filtering out Outliers in Learning to Rank. ICTIR 2022: 214-222 - [c94]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri:
Interpretable Ranking Using LambdaMART (Abstract). IIR 2022 - [c93]Federico Marcuzzi, Claudio Lucchese, Salvatore Orlando:
SOUR an Outliers Detection Algorithm in Learning to Rank (Abstract). IIR 2022 - [c92]Seyum Assefa Abebe, Claudio Lucchese, Salvatore Orlando:
EiFFFeL: enforcing fairness in forests by flipping leaves. SAC 2022: 429-436 - [c91]Claudio Lucchese, Gianmarco Callegher, Mirko Modenese, Silvia Dassié:
A comparison of spatio-temporal prediction methods: a parking availability case study. SAC 2022: 1013-1020 - [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) - [i19]Stefano Calzavara, Lorenzo Cazzaro, Claudio Lucchese, Federico Marcuzzi:
Explainable Global Fairness Verification of Tree-Based Classifiers. CoRR abs/2209.13179 (2022) - [i18]Matteo Rizzo, Alberto Veneri, Andrea Albarelli, Claudio Lucchese, Cristina Conati:
A Theoretical Framework for AI Models Explainability. CoRR abs/2212.14447 (2022) - 2021
- [j28]Stefano Calzavara, Claudio Lucchese, Federico Marcuzzi, Salvatore Orlando:
Feature partitioning for robust tree ensembles and their certification in adversarial scenarios. EURASIP J. Inf. Secur. 2021(1): 12 (2021) - [c88]Stefano Calzavara, Lorenzo Cazzaro, Claudio Lucchese:
AMEBA: An Adaptive Approach to the Black-Box Evasion of Machine Learning Models. AsiaCCS 2021: 292-306 - [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) - [i16]Stefano Calzavara, Lorenzo Cazzaro, Claudio Lucchese, Federico Marcuzzi, Salvatore Orlando:
Beyond Robustness: Resilience Verification of Tree-Based Classifiers. CoRR abs/2112.02705 (2021) - [i15]Seyum Assefa Abebe, Claudio Lucchese, Salvatore Orlando:
EiFFFeL: Enforcing Fairness in Forests by Flipping Leaves. CoRR abs/2112.14435 (2021) - 2020
- [j27]Stefano Calzavara, Claudio Lucchese, Gabriele Tolomei, Seyum Assefa Abebe, Salvatore Orlando:
Treant: training evasion-aware decision trees. Data Min. Knowl. Discov. 34(5): 1390-1420 (2020) - [j26]Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego:
Boosting learning to rank with user dynamics and continuation methods. Inf. Retr. J. 23(6): 528-554 (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) - [c86]Stefano Calzavara, Pietro Ferrara, Claudio Lucchese:
Certifying Decision Trees Against Evasion Attacks by Program Analysis. ESORICS (2) 2020: 421-438 - [c85]Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego:
Improving Learning to Rank By Leveraging User Dynamics and Continuation Methods. SEBD 2020: 210-217 - [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 - [i14]Stefano Calzavara, Claudio Lucchese, Federico Marcuzzi, Salvatore Orlando:
Feature Partitioning for Robust Tree Ensembles and their Certification in Adversarial Scenarios. CoRR abs/2004.03295 (2020) - [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) - [i12]Stefano Calzavara, Pietro Ferrara, Claudio Lucchese:
Certifying Decision Trees Against Evasion Attacks by Program Analysis. CoRR abs/2007.02771 (2020)
2010 – 2019
- 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) - [c83]Stefano Calzavara, Claudio Lucchese, Gabriele Tolomei:
Adversarial Training of Gradient-Boosted Decision Trees. CIKM 2019: 2429-2432 - [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 - [i11]Stefano Calzavara, Claudio Lucchese, Gabriele Tolomei, Seyum Assefa Abebe, Salvatore Orlando:
Treant: Training Evasion-Aware Decision Trees. CoRR abs/1907.01197 (2019) - 2018
- [j23]Salvatore Trani, Claudio Lucchese, Raffaele Perego, David E. Losada, Diego Ceccarelli, Salvatore Orlando:
SEL: A unified algorithm for salient entity linking. Comput. Intell. 34(1): 2-29 (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) - [c81]Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego:
Continuation Methods and Curriculum Learning for Learning to Rank. CIKM 2018: 1523-1526 - [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 - [c78]Mauro Coletto, Claudio Lucchese, Salvatore Orlando:
Do Violent People Smile: Social Media Analysis of their Profile Pictures. WWW (Companion Volume) 2018: 1465-1468 - [r1]Mauro Coletto, Claudio Lucchese:
Social-Spatiotemporal Analysis of Topical and Polarized Communities in Online Social Networks. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i10]Lívia Ruback, Claudio Lucchese, Alexander Arturo Mera Caraballo, Grettel Monteagudo García, Marco Antonio Casanova, Chiara Renso:
Computing Entity Semantic Similarity by Features Ranking. CoRR abs/1811.02516 (2018) - 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) - [j20]Mauro Coletto, Kiran Garimella, Aristides Gionis, Claudio Lucchese:
Automatic controversy detection in social media: A content-independent motif-based approach. Online Soc. Networks Media 3-4: 22-31 (2017) - [j19]Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego:
Report on LEARNER 2017: 1st International Workshop on LEARning Next gEneration Rankers. SIGIR Forum 51(3): 145-151 (2017) - [j18]Mauro Coletto, Luca Maria Aiello, Claudio Lucchese, Fabrizio Silvestri:
Adult content consumption in online social networks. Soc. Netw. Anal. Min. 7(1): 28:1-28:21 (2017) - [j17]Alessandro Lulli, Emanuele Carlini, Patrizio Dazzi, Claudio Lucchese, Laura Ricci:
Fast Connected Components Computation in Large Graphs by Vertex Pruning. IEEE Trans. Parallel Distributed Syst. 28(3): 760-773 (2017) - [c77]Laura Pollacci, Alina Sîrbu, Fosca Giannotti, Dino Pedreschi, Claudio Lucchese, Cristina Ioana Muntean:
Sentiment Spreading: An Epidemic Model for Lexicon-Based Sentiment Analysis on Twitter. AI*IA 2017: 114-127 - [c76]Claudio Lucchese, Franco Maria Nardini:
Efficiency/Effectiveness Trade-offs in Learning to Rank. ICTIR 2017: 329-330 - [c75]Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego:
LEARning Next gEneration Rankers (LEARNER 2017). ICTIR 2017: 331-332 - [c74]Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Salvatore Trani:
The Impact of Negative Samples on Learning to Rank. LEARNER@ICTIR 2017 - [c73]Mauro Coletto, Kiran Garimella, Aristides Gionis, Claudio Lucchese:
A Motif-Based Approach for Identifying Controversy. ICWSM 2017: 496-499 - [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 - [c70]Lívia Ruback, Marco Antonio Casanova, Chiara Renso, Claudio Lucchese:
SELEcTor: Discovering Similar Entities on LinkEd DaTa by Ranking Their Features. ICSC 2017: 117-124 - [c69]Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego:
On Including the User Dynamic in Learning to Rank. SIGIR 2017: 1041-1044 - [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 - [e3]Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego:
Proceedings of the 1st International Workshop on LEARning Next gEneration Rankers co-located with the 3rd ACM International Conference on the Theory of Information Retrieval (ICTIR 2017), Amsterdam, The Netherlands, October 1, 2017. CEUR Workshop Proceedings 2007, CEUR-WS.org 2017 [contents] - [i9]Mauro Coletto, Kiran Garimella, Aristides Gionis, Claudio Lucchese:
A Motif-based Approach for Identifying Controversy. CoRR abs/1703.05053 (2017) - 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 - [c65]Claudio Lucchese, Salvatore Orlando, Raffaele Perego:
Evaluating Top-K Approximate Patterns via Text Clustering. DaWaK 2016: 114-127 - [c64]Salvatore Trani, Diego Ceccarelli, Claudio Lucchese, Salvatore Orlando, Raffaele Perego:
SEL: A Unified Algorithm for Entity Linking and Saliency Detection. DocEng 2016: 85-94 - [c63]Mussab Zneika, Claudio Lucchese, Dan Vodislav, Dimitris Kotzinos:
Summarizing Linked Data RDF Graphs Using Approximate Graph Pattern Mining. EDBT 2016: 684-685 - [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 - [c60]Mauro Coletto, Luca Maria Aiello, Claudio Lucchese, Fabrizio Silvestri:
On the Behaviour of Deviant Communities in Online Social Networks. ICWSM 2016: 72-81 - [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 - [c54]Mauro Coletto, Claudio Lucchese, Salvatore Orlando, Raffaele Perego:
Polarized User and Topic Tracking in Twitter. SIGIR 2016: 945-948 - [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) - [i7]Mauro Coletto, Luca Maria Aiello, Claudio Lucchese, Fabrizio Silvestri:
On the Behaviour of Deviant Communities in Online Social Networks. CoRR abs/1610.08372 (2016) - [i6]Mauro Coletto, Claudio Lucchese, Salvatore Orlando, Raffaele Perego:
Polarized User and Topic Tracking in Twitter. CoRR abs/1610.08686 (2016) - [i5]Mauro Coletto, Luca Maria Aiello, Claudio Lucchese, Fabrizio Silvestri:
Pornography consumption in Social Media. CoRR abs/1612.08157 (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
- [c52]Claudio Lucchese, Salvatore Orlando, Raffaele Perego:
Supervised Evaluation of Top-k Itemset Mining Algorithms. DaWaK 2015: 82-94 - [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 - [c50]Mauro Coletto, Claudio Lucchese, Salvatore Orlando, Raffaele Perego:
Electoral Predictions with Twitter: A Machine-Learning approach. IIR 2015 - [c49]Alessandro Lulli, Laura Ricci, Emanuele Carlini, Patrizio Dazzi, Claudio Lucchese:
Cracker: Crumbling large graphs into connected components. ISCC 2015: 574-581 - [c48]Mussab Zneika, Claudio Lucchese, Dan Vodislav, Dimitris Kotzinos:
RDF Graph Summarization Based on Approximate Patterns. ISIP 2015: 69-87 - [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 - 2014
- [j14]Spyros I. Zoumpoulis, Michail Vlachos, Nikolaos M. Freris, Claudio Lucchese:
Right-Protected Data Publishing with Provable Distance-Based Mining. IEEE Trans. Knowl. Data Eng. 26(8): 2014-2028 (2014) - [j13]Claudio Lucchese, Salvatore Orlando, Raffaele Perego:
A Unifying Framework for Mining Approximate Top- \(k\) Binary Patterns. IEEE Trans. Knowl. Data Eng. 26(12): 2900-2913 (2014) - [c45]Salvatore Trani, Diego Ceccarelli, Claudio Lucchese, Salvatore Orlando, Raffaele Perego:
Manual Annotation of Semi-Structured Documents for Entity-Linking. CIKM 2014: 2075-2077 - [c44]Diego Ceccarelli, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Salvatore Trani:
Dexter 2.0 - an Open Source Tool for Semantically Enriching Data. ISWC (Posters & Demos) 2014: 417-420 - [p1]Claudio Lucchese, Cristina Ioana Muntean, Raffaele Perego, Fabrizio Silvestri, Hossein Vahabi, Rossano Venturini:
Recommender Systems. Mining User Generated Content 2014: 287-317 - 2013
- [j12]Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Gabriele Tolomei:
Discovering tasks from search engine query logs. ACM Trans. Inf. Syst. 31(3): 14 (2013) - [c43]Gabriele Tolomei, Salvatore Orlando, Diego Ceccarelli, Claudio Lucchese:
Twitter anticipates bursts of requests for Wikipedia articles. DUBMOD@CIKM 2013: 5-8 - [c42]Diego Ceccarelli, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Salvatore Trani:
Dexter: an open source framework for entity linking. ESAIR 2013: 17-20 - [c41]Diego Ceccarelli, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Salvatore Trani:
Learning relatedness measures for entity linking. CIKM 2013: 139-148 - [c40]Diego Ceccarelli, Sergiu Gordea, Claudio Lucchese, Franco Maria Nardini, Raffaele Perego:
On Suggesting Entities as Web Search Queries. IIR 2013: 37-40 - [c39]Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Gabriele Tolomei:
Modeling and predicting the task-by-task behavior of search engine users. OAIR 2013: 77-84 - [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 - [i3]Claudio Lucchese, Raffaele Perego, Salvatore Trani, Makis Atzemoglou, Benoit Baurens, Dimitris Kotzinos:
InGeoCloudS: A Cloud-Based Platform for Sharing Geodata Across Europe. ERCIM News 2013(94) (2013) - 2012
- [j11]Fabrizio Falchi, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fausto Rabitti:
Similarity caching in large-scale image retrieval. Inf. Process. Manag. 48(5): 803-818 (2012) - [c37]Roi Blanco, Diego Ceccarelli, Claudio Lucchese, Raffaele Perego, Fabrizio Silvestri:
You should read this! let me explain you why: explaining news recommendations to users. CIKM 2012: 1995-1999 - [c36]Claudio Lucchese, Raffaele Perego, Fabrizio Silvestri, Hossein Vahabi, Rossano Venturini:
How Random Walks Can Help Tourism. ECIR 2012: 195-206 - [c35]Gianmarco De Francisci Morales, Aristides Gionis, Claudio Lucchese:
From chatter to headlines: harnessing the real-time web for personalized news recommendation. WSDM 2012: 153-162 - 2011
- [c34]Claudio Lucchese, Berkant Barla Cambazoglu:
LSDS-IR'11: the 9th workshop on large-scale and distributed systems for information retrieval. CIKM 2011: 2643-2644 - [c33]Diego Ceccarelli, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri:
Caching query-biased snippets for efficient retrieval. EDBT 2011: 93-104 - [c32]Diego Ceccarelli, Sergiu Gordea, Claudio Lucchese, Franco Maria Nardini, Gabriele Tolomei:
Improving Europeana Search Experience Using Query Logs. TPDL 2011: 384-395 - [c31]Mario Boley, Claudio Lucchese, Daniel Paurat, Thomas Gärtner:
Direct local pattern sampling by efficient two-step random procedures. KDD 2011: 582-590 - [c30]Mario Boley, Claudio Lucchese, Daniel Paurat, Thomas Gärtner:
Direct Pattern Sampling with Respect to Pattern Frequency. LWA 2011: 114-121 - [c29]Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Gabriele Tolomei:
Identifying task-based sessions in search engine query logs. WSDM 2011: 277-286 - [i2]Diego Ceccarelli, Sergiu Gordea, Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Gabriele Tolomei:
Discovering Europeana Users' Search Behavior. ERCIM News 2011(86) (2011) - 2010
- [b1]Claudio Lucchese:
High performance: closed frequent itemsets mining inspired by emerging computer architectures. Ca' Foscari University of Venice, Italy, 2010 - [j10]Claudio Lucchese, Carlo Mastroianni, Salvatore Orlando, Domenico Talia:
Mining@home: toward a public-resource computing framework for distributed data mining. Concurr. Comput. Pract. Exp. 22(5): 658-682 (2010) - [j9]Michal Batko, Fabrizio Falchi, Claudio Lucchese, David Novak, Raffaele Perego, Fausto Rabitti, Jan Sedmidubský, Pavel Zezula:
Building a web-scale image similarity search system. Multim. Tools Appl. 47(3): 599-629 (2010) - [j8]Roi Blanco, Berkant Barla Cambazoglu, Claudio Lucchese