Claudio Lucchese

175 papers A* 23A 18B 11C 2Misc 12Journal 59Unranked 44

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Efficient Re-ranking with Cross-encoders via Early Exit. SIGIR Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani, Alberto Veneri
2025	J	`jnl`	Explainable, Effective, and Efficient Learning-to-Rank Models Using ILMART. ACM Trans. Inf. Syst. Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri
2025	—	`conf`	LambdaFair for Fair and Effective Ranking. ECIR (4) Federico Marcuzzi, Claudio Lucchese, Salvatore Orlando
2025	A*	`conf`	Verifiable Boosted Tree Ensembles. SP Stefano Calzavara, Lorenzo Cazzaro, Claudio Lucchese, Giulio Ermanno Pibiri
2024	A*	`conf`	A Learning-to-Rank Formulation of Clustering-Based Approximate Nearest Neighbor Search. SIGIR Thomas Vecchiato, Claudio Lucchese, Franco Maria Nardini, Sebastian Bruch
2024	J	`jnl`	A Learning-to-Rank Formulation of Clustering-Based Approximate Nearest Neighbor Search. CoRR Thomas Vecchiato, Claudio Lucchese, Franco Maria Nardini, Sebastian Bruch
2024	A	`conf`	Early Exit Strategies for Approximate CIKM Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani
2024	J	`jnl`	Early Exit Strategies for Approximate k-NN Search in Dense Retrieval. CoRR Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani
2024	—	`conf`	LambdaFair: a Fair and Effective LambdaMART. IIR Federico Marcuzzi, Claudio Lucchese, Salvatore Orlando
2024	—	`conf`	On the Application of a Common Theoretical Explainability Framework in Information Retrieval. IIR Andrea Albarelli, Claudio Lucchese, Matteo Rizzo, Alberto Veneri
2024	J	`jnl`	Special Section on Efficiency in Neural Information Retrieval. ACM Trans. Inf. Syst. Sebastian Bruch, Claudio Lucchese, Maria Maistro, Franco Maria Nardini
2024	J	`jnl`	Verifiable Boosted Tree Ensembles. CoRR Stefano Calzavara, Lorenzo Cazzaro, Claudio Lucchese, Giulio Ermanno Pibiri
2023	C	`conf`	A Theoretical Framework for AI Models Explainability with Application in Biomedicine. CIBCB Matteo Rizzo, Alberto Veneri, Andrea Albarelli, Claudio Lucchese, Marco S. Nobile, Cristina Conati
2023	A	`conf`	Can Embeddings Analysis Explain Large Language Model Ranking? CIKM Claudio Lucchese, Giorgia Minello, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri
2023	J	`jnl`	Certifying machine learning models against evasion attacks by program analysis. J. Comput. Secur. Stefano Calzavara, Pietro Ferrara, Claudio Lucchese
2023	—	`conf`	Does LambdaMART Do What You Expect? IIR Claudio Lucchese, Federico Marcuzzi, Salvatore Orlando
2023	J	`jnl`	Early Exit Strategies for Learning-to-Rank Cascades. IEEE Access Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani
2023	J	`jnl`	Efficient and Effective Tree-based and Neural Learning to Rank. CoRR Sebastian Bruch, Claudio Lucchese, Franco Maria Nardini
2023	J	`jnl`	Efficient and Effective Tree-based and Neural Learning to Rank. Found. Trends Inf. Retr. Sebastian Bruch, Claudio Lucchese, Franco Maria Nardini
2023	—	`conf`	Explainable Global Fairness Verification of Tree-Based Classifiers. SaTML Stefano Calzavara, Lorenzo Cazzaro, Claudio Lucchese, Federico Marcuzzi
2023	J	`jnl`	Fast Inference of Tree Ensembles on ARM Devices. CoRR Simon Koschel, Sebastian Buschjäger, Claudio Lucchese, Katharina Morik
2023	B	`conf`	GAM Forest Explanation. EDBT Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Alberto Veneri
2023	A	`conf`	LambdaRank Gradients are Incoherent. CIKM Federico Marcuzzi, Claudio Lucchese, Salvatore Orlando
2023	Misc	`conf`	On the Effect of Low-Ranked Documents: A New Sampling Function for Selective Gradient Boosting. SAC Claudio Lucchese, Federico Marcuzzi, Salvatore Orlando
2023	—	`conf`	Preface WI-IAT 2023. WI/IAT Salvatore Orlando, Gabriella Pasi, Sebastian Bruch, Claudio Lucchese, Xiaohui Tao
2022	J	`jnl`	A Theoretical Framework for AI Models Explainability. CoRR Matteo Rizzo, Alberto Veneri, Andrea Albarelli, Claudio Lucchese, Cristina Conati
2022	Misc	`conf`	A comparison of spatio-temporal prediction methods: a parking availability case study. SAC Claudio Lucchese, Gianmarco Callegher, Mirko Modenese, Silvia Dassié
2022	J	`jnl`	Beyond robustness: Resilience verification of tree-based classifiers. Comput. Secur. Stefano Calzavara, Lorenzo Cazzaro, Claudio Lucchese, Federico Marcuzzi, Salvatore Orlando
2022	Misc	`conf`	EiFFFeL: enforcing fairness in forests by flipping leaves. SAC Seyum Assefa Abebe, Claudio Lucchese, Salvatore Orlando
2022	J	`jnl`	Explainable Global Fairness Verification of Tree-Based Classifiers. CoRR Stefano Calzavara, Lorenzo Cazzaro, Claudio Lucchese, Federico Marcuzzi
2022	Misc	`conf`	Filtering out Outliers in Learning to Rank. ICTIR Federico Marcuzzi, Claudio Lucchese, Salvatore Orlando
2022	A*	`conf`	ILMART: Interpretable Ranking with Constrained LambdaMART. SIGIR Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri
2022	J	`jnl`	ILMART: Interpretable Ranking with Constrained LambdaMART. CoRR Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri
2022	—	`conf`	Interpretable Ranking Using LambdaMART (Abstract). IIR Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri
2022	A*	`conf`	ReNeuIR: Reaching Efficiency in Neural Information Retrieval. SIGIR Sebastian Bruch, Claudio Lucchese, Franco Maria Nardini
2022	J	`jnl`	Report on the 1st Workshop on Reaching Efficiency in Neural Information Retrieval (ReNeuIR 2022) at SIGIR 2022. SIGIR Forum Sebastian Bruch, Claudio Lucchese, Franco Maria Nardini
2022	—	`conf`	SOUR an Outliers Detection Algorithm in Learning to Rank (Abstract). IIR Federico Marcuzzi, Claudio Lucchese, Salvatore Orlando
2021	A	`conf`	AMEBA: An Adaptive Approach to the Black-Box Evasion of Machine Learning Models. AsiaCCS Stefano Calzavara, Lorenzo Cazzaro, Claudio Lucchese
2021	J	`jnl`	Beyond Robustness: Resilience Verification of Tree-Based Classifiers. CoRR Stefano Calzavara, Lorenzo Cazzaro, Claudio Lucchese, Federico Marcuzzi, Salvatore Orlando
2021	J	`jnl`	EiFFFeL: Enforcing Fairness in Forests by Flipping Leaves. CoRR Seyum Assefa Abebe, Claudio Lucchese, Salvatore Orlando
2021	J	`jnl`	Feature partitioning for robust tree ensembles and their certification in adversarial scenarios. EURASIP J. Inf. Secur. Stefano Calzavara, Claudio Lucchese, Federico Marcuzzi, Salvatore Orlando
2021	A*	`conf`	Learning Early Exit Strategies for Additive Ranking Ensembles. SIGIR Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani
2021	J	`jnl`	Learning Early Exit Strategies for Additive Ranking Ensembles. CoRR Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani
2020	J	`jnl`	Boosting learning to rank with user dynamics and continuation methods. Inf. Retr. J. Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego
2020	—	`conf`	Certifying Decision Trees Against Evasion Attacks by Program Analysis. ESORICS (2) Stefano Calzavara, Pietro Ferrara, Claudio Lucchese
2020	J	`jnl`	Certifying Decision Trees Against Evasion Attacks by Program Analysis. CoRR Stefano Calzavara, Pietro Ferrara, Claudio Lucchese
2020	J	`jnl`	Feature Partitioning for Robust Tree Ensembles and their Certification in Adversarial Scenarios. CoRR Stefano Calzavara, Claudio Lucchese, Federico Marcuzzi, Salvatore Orlando
2020	—	`conf`	Improving Learning to Rank By Leveraging User Dynamics and Continuation Methods. SEBD Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego
2020	A*	`conf`	Query-level Early Exit for Additive Learning-to-Rank Ensembles. SIGIR Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani
2020	J	`jnl`	Query-level Early Exit for Additive Learning-to-Rank Ensembles. CoRR Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani
2020	J	`jnl`	RankEval: Evaluation and investigation of ranking models. SoftwareX Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Salvatore Trani
2020	J	`jnl`	Treant: training evasion-aware decision trees. Data Min. Knowl. Discov. Stefano Calzavara, Claudio Lucchese, Gabriele Tolomei, Seyum Assefa Abebe, Salvatore Orlando
2019	A	`conf`	Adversarial Training of Gradient-Boosted Decision Trees. CIKM Stefano Calzavara, Claudio Lucchese, Gabriele Tolomei
2019	A*	`conf`	Learning to Rank in Theory and Practice: From Gradient Boosting to Neural Networks and Unbiased Learning. SIGIR Claudio Lucchese, Franco Maria Nardini, Rama Kumar Pasumarthi, Sebastian Bruch, Michael Bendersky, Xuanhui Wang, Harrie Oosterhuis, Rolf Jagerman, Maarten de Rijke
2019	J	`jnl`	Parallel Traversal of Large Ensembles of Decision Trees. IEEE Trans. Parallel Distributed Syst. Francesco Lettich, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini
2019	J	`jnl`	Treant: Training Evasion-Aware Decision Trees. CoRR Stefano Calzavara, Claudio Lucchese, Gabriele Tolomei, Seyum Assefa Abebe, Salvatore Orlando
2018	J	`jnl`	Computing Entity Semantic Similarity by Features Ranking. CoRR Lívia Ruback, Claudio Lucchese, Alexander Arturo Mera Caraballo, Grettel Monteagudo García, Marco Antonio Casanova, Chiara Renso
2018	A	`conf`	Continuation Methods and Curriculum Learning for Learning to Rank. CIKM Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego
2018	—	`conf`	Do Violent People Smile: Social Media Analysis of their Profile Pictures. WWW (Companion Volume) Mauro Coletto, Claudio Lucchese, Salvatore Orlando
2018	A	`conf`	Efficient and Effective Query Expansion for Web Search. CIKM Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Roberto Trani, Rossano Venturini
2018	J	`jnl`	SEL: A unified algorithm for salient entity linking. Comput. Intell. Salvatore Trani, Claudio Lucchese, Raffaele Perego, David E. Losada, Diego Ceccarelli, Salvatore Orlando
2018	A*	`conf`	Selective Gradient Boosting for Effective Learning to Rank. SIGIR Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Salvatore Orlando, Salvatore Trani
2018	—	`ch.`	Social-Spatiotemporal Analysis of Topical and Polarized Communities in Online Social Networks. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Mauro Coletto, Claudio Lucchese
2018	J	`jnl`	X-CLEaVER: Learning Ranking Ensembles by Growing and Pruning Trees. ACM Trans. Intell. Syst. Technol. Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Salvatore Trani
2017	A	`conf`	A Motif-Based Approach for Identifying Controversy. ICWSM Mauro Coletto, Kiran Garimella, Aristides Gionis, Claudio Lucchese
2017	J	`jnl`	A Motif-based Approach for Identifying Controversy. CoRR Mauro Coletto, Kiran Garimella, Aristides Gionis, Claudio Lucchese
2017	J	`jnl`	Adult content consumption in online social networks. Soc. Netw. Anal. Min. Mauro Coletto, Luca Maria Aiello, Claudio Lucchese, Fabrizio Silvestri
2017	J	`jnl`	Automatic controversy detection in social media: A content-independent motif-based approach. Online Soc. Networks Media Mauro Coletto, Kiran Garimella, Aristides Gionis, Claudio Lucchese
2017	Misc	`conf`	Efficiency/Effectiveness Trade-offs in Learning to Rank. ICTIR Claudio Lucchese, Franco Maria Nardini
2017	J	`jnl`	Fast Connected Components Computation in Large Graphs by Vertex Pruning. IEEE Trans. Parallel Distributed Syst. Alessandro Lulli, Emanuele Carlini, Patrizio Dazzi, Claudio Lucchese, Laura Ricci
2017	Misc	`conf`	LEARning Next gEneration Rankers (LEARNER 2017). ICTIR Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego
2017	—	`conf`	Multicore/Manycore Parallel Traversal of Large Forests of Regression Trees. HPCS Francesco Lettich, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini
2017	A*	`conf`	On Including the User Dynamic in Learning to Rank. SIGIR Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego
2017	J	`jnl`	Perception of social phenomena through the multidimensional analysis of online social networks. Online Soc. Networks Media Mauro Coletto, Andrea Esuli, Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Chiara Renso
2017	—	`ed.`	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. LEARNER@ICTIR Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego
2017	—	`conf`	QuickScorer: Efficient Traversal of Large Ensembles of Decision Trees. ECML/PKDD (3) Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini
2017	A*	`conf`	RankEval: An Evaluation and Analysis Framework for Learning-to-Rank Solutions. SIGIR Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Salvatore Trani
2017	J	`jnl`	Report on LEARNER 2017: 1st International Workshop on LEARning Next gEneration Rankers. SIGIR Forum Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego
2017	—	`conf`	SELEcTor: Discovering Similar Entities on LinkEd DaTa by Ranking Their Features. ICSC Lívia Ruback, Marco Antonio Casanova, Chiara Renso, Claudio Lucchese
2017	—	`conf`	Sentiment Spreading: An Epidemic Model for Lexicon-Based Sentiment Analysis on Twitter. AI*IA Laura Pollacci, Alina Sîrbu, Fosca Giannotti, Dino Pedreschi, Claudio Lucchese, Cristina Ioana Muntean
2017	—	`conf`	The Impact of Negative Samples on Learning to Rank. LEARNER@ICTIR Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Salvatore Trani
2017	A*	`conf`	X-DART: Blending Dropout and Pruning for Efficient Learning to Rank. SIGIR Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani
2016	B	`conf`	Evaluating Top-K Approximate Patterns via Text Clustering. DaWaK Claudio Lucchese, Salvatore Orlando, Raffaele Perego
2016	A*	`conf`	Exploiting CPU SIMD Extensions to Speed-up Document Scoring with Tree Ensembles. SIGIR Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini
2016	Misc	`conf`	Fast Feature Selection for Learning to Rank. ICTIR Andrea Gigli, Claudio Lucchese, Franco Maria Nardini, Raffaele Perego
2016	J	`jnl`	Fast Ranking with Additive Ensembles of Oblivious and Non-Oblivious Regression Trees. ACM Trans. Inf. Syst. Domenico Dato, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini
2016	J	`jnl`	Fast Traversal of Large Ensembles of Regression Trees. ERCIM News Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Salvatore Orlando, Rossano Venturini
2016	—	`conf`	GPU-based Parallelization of QuickScorer to Speed-up Document Ranking with Tree Ensembles. IIR Francesco Lettich, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini
2016	Misc	`conf`	Learning to Rank User Queries to Detect Search Tasks. ICTIR Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Gabriele Tolomei
2016	A	`conf`	On the Behaviour of Deviant Communities in Online Social Networks. ICWSM Mauro Coletto, Luca Maria Aiello, Claudio Lucchese, Fabrizio Silvestri
2016	J	`jnl`	On the Behaviour of Deviant Communities in Online Social Networks. CoRR Mauro Coletto, Luca Maria Aiello, Claudio Lucchese, Fabrizio Silvestri
2016	A*	`conf`	Polarized User and Topic Tracking in Twitter. SIGIR Mauro Coletto, Claudio Lucchese, Salvatore Orlando, Raffaele Perego
2016	J	`jnl`	Polarized User and Topic Tracking in Twitter. CoRR Mauro Coletto, Claudio Lucchese, Salvatore Orlando, Raffaele Perego
2016	J	`jnl`	Pornography consumption in Social Media. CoRR Mauro Coletto, Luca Maria Aiello, Claudio Lucchese, Fabrizio Silvestri
2016	A*	`conf`	Post-Learning Optimization of Tree Ensembles for Efficient Ranking. SIGIR Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Salvatore Trani
2016	—	`conf`	Post-Learning Optimization of Tree Ensembles. IIR Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Salvatore Trani
2016	J	`jnl`	Quality versus efficiency in document scoring with learning-to-rank models. Inf. Process. Manag. Gabriele Capannini, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto
2016	—	`conf`	Ranking Documents Effciently with QuickScorer. SEBD Domenico Dato, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini
2016	B	`conf`	SEL: A Unified Algorithm for Entity Linking and Saliency Detection. DocEng Salvatore Trani, Diego Ceccarelli, Claudio Lucchese, Salvatore Orlando, Raffaele Perego
2016	J	`jnl`	Sentiment-enhanced Multidimensional Analysis of Online Social Networks: Perception of the Mediterranean Refugees Crisis. CoRR Mauro Coletto, Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Andrea Esuli, Chiara Renso, Raffaele Perego
2016	B	`conf`	Sentiment-enhanced multidimensional analysis of online social networks: Perception of the mediterranean refugees crisis. ASONAM Mauro Coletto, Andrea Esuli, Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Chiara Renso
2016	—	`conf`	Speeding-up Document Scoring with Tree Ensembles using CPU SIMD Extensions. IIR Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini
2016	B	`conf`	Summarizing Linked Data RDF Graphs Using Approximate Graph Pattern Mining. EDBT Mussab Zneika, Claudio Lucchese, Dan Vodislav, Dimitris Kotzinos
2015	C	`conf`	Cracker: Crumbling large graphs into connected components. ISCC Alessandro Lulli, Laura Ricci, Emanuele Carlini, Patrizio Dazzi, Claudio Lucchese
2015	—	`conf`	Electoral Predictions with Twitter: A Machine-Learning approach. IIR Mauro Coletto, Claudio Lucchese, Salvatore Orlando, Raffaele Perego
2015	—	`conf`	QuickRank: a C++ Suite of Learning to Rank Algorithms. IIR Gabriele Capannini, Domenico Dato, Claudio Lucchese, Monica Mori, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto
2015	A*	`conf`	QuickScorer: A Fast Algorithm to Rank Documents with Additive Ensembles of Regression Trees. SIGIR Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini
2015	—	`conf`	RDF Graph Summarization Based on Approximate Patterns. ISIP Mussab Zneika, Claudio Lucchese, Dan Vodislav, Dimitris Kotzinos
2015	A*	`conf`	Speeding up Document Ranking with Rank-based Features. SIGIR Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto
2015	B	`conf`	Supervised Evaluation of Top-k Itemset Mining Algorithms. DaWaK Claudio Lucchese, Salvatore Orlando, Raffaele Perego
2014	J	`jnl`	A Unifying Framework for Mining Approximate Top- \(k\) Binary Patterns. IEEE Trans. Knowl. Data Eng. Claudio Lucchese, Salvatore Orlando, Raffaele Perego
2014	—	`conf`	Dexter 2.0 - an Open Source Tool for Semantically Enriching Data. ISWC (Posters & Demos) Diego Ceccarelli, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Salvatore Trani
2014	A	`conf`	Manual Annotation of Semi-Structured Documents for Entity-Linking. CIKM Salvatore Trani, Diego Ceccarelli, Claudio Lucchese, Salvatore Orlando, Raffaele Perego
2014	—	`ch.`	Recommender Systems. Mining User Generated Content Claudio Lucchese, Cristina Ioana Muntean, Raffaele Perego, Fabrizio Silvestri, Hossein Vahabi, Rossano Venturini
2014	J	`jnl`	Right-Protected Data Publishing with Provable Distance-Based Mining. IEEE Trans. Knowl. Data Eng. Spyros I. Zoumpoulis, Michail Vlachos, Nikolaos M. Freris, Claudio Lucchese
2013	—	`conf`	Dexter: an open source framework for entity linking. ESAIR Diego Ceccarelli, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Salvatore Trani
2013	J	`jnl`	Discovering tasks from search engine query logs. ACM Trans. Inf. Syst. Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Gabriele Tolomei
2013	J	`jnl`	InGeoCloudS: A Cloud-Based Platform for Sharing Geodata Across Europe. ERCIM News Claudio Lucchese, Raffaele Perego, Salvatore Trani, Makis Atzemoglou, Benoit Baurens, Dimitris Kotzinos
2013	A	`conf`	Learning relatedness measures for entity linking. CIKM Diego Ceccarelli, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Salvatore Trani
2013	—	`conf`	Modeling and predicting the task-by-task behavior of search engine users. OAIR Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Gabriele Tolomei
2013	—	`conf`	On Suggesting Entities as Web Search Queries. IIR Diego Ceccarelli, Sergiu Gordea, Claudio Lucchese, Franco Maria Nardini, Raffaele Perego
2013	—	`conf`	Twitter anticipates bursts of requests for Wikipedia articles. DUBMOD@CIKM Gabriele Tolomei, Salvatore Orlando, Diego Ceccarelli, Claudio Lucchese
2013	Misc	`conf`	When entities meet query recommender systems: semantic search shortcuts. SAC Diego Ceccarelli, Sergiu Gordea, Claudio Lucchese, Franco Maria Nardini, Raffaele Perego
2012	A	`conf`	From chatter to headlines: harnessing the real-time web for personalized news recommendation. WSDM Gianmarco De Francisci Morales, Aristides Gionis, Claudio Lucchese
2012	A	`conf`	How Random Walks Can Help Tourism. ECIR Claudio Lucchese, Raffaele Perego, Fabrizio Silvestri, Hossein Vahabi, Rossano Venturini
2012	J	`jnl`	Similarity caching in large-scale image retrieval. Inf. Process. Manag. Fabrizio Falchi, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fausto Rabitti
2012	A	`conf`	You should read this! let me explain you why: explaining news recommendations to users. CIKM Roi Blanco, Diego Ceccarelli, Claudio Lucchese, Raffaele Perego, Fabrizio Silvestri
2011	B	`conf`	Caching query-biased snippets for efficient retrieval. EDBT Diego Ceccarelli, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri
2011	—	`conf`	Direct Pattern Sampling with Respect to Pattern Frequency. LWA Mario Boley, Claudio Lucchese, Daniel Paurat, Thomas Gärtner
2011	A*	`conf`	Direct local pattern sampling by efficient two-step random procedures. KDD Mario Boley, Claudio Lucchese, Daniel Paurat, Thomas Gärtner
2011	J	`jnl`	Discovering Europeana Users' Search Behavior. ERCIM News Diego Ceccarelli, Sergiu Gordea, Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Gabriele Tolomei
2011	A	`conf`	Identifying task-based sessions in search engine query logs. WSDM Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Gabriele Tolomei
2011	B	`conf`	Improving Europeana Search Experience Using Query Logs. TPDL Diego Ceccarelli, Sergiu Gordea, Claudio Lucchese, Franco Maria Nardini, Gabriele Tolomei
2011	A	`conf`	LSDS-IR'11: the 9th workshop on large-scale and distributed systems for information retrieval. CIKM Claudio Lucchese, Berkant Barla Cambazoglu
2010	Misc	`conf`	A generative pattern model for mining binary datasets. SAC Claudio Lucchese, Salvatore Orlando, Raffaele Perego
2010	J	`jnl`	Building a web-scale image similarity search system. Multim. Tools Appl. Michal Batko, Fabrizio Falchi, Claudio Lucchese, David Novak, Raffaele Perego, Fausto Rabitti, Jan Sedmidubský, Pavel Zezula
2010	—	`conf`	Detecting Task-Based Query Sessions Using Collaborative Knowledge. Web Intelligence/IAT Workshops Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Gabriele Tolomei
2010	A*	`conf`	Document Similarity Self-Join with MapReduce. ICDM Ranieri Baraglia, Gianmarco De Francisci Morales, Claudio Lucchese
2010	—	`—`	High performance: closed frequent itemsets mining inspired by emerging computer architectures. Claudio Lucchese
2010	A	`conf`	Mining Top-K Patterns from Binary Datasets in Presence of Noise. SDM Claudio Lucchese, Salvatore Orlando, Raffaele Perego
2010	—	`ed.`	Proceedings of the 8th Workshop on Large-Scale Distributed Systems for Information Retrieval, Geneva, Switzerland, July 23, 2010 LSDS-IR@SIGIR Roi Blanco, Berkant Barla Cambazoglu, Claudio Lucchese
2010	J	`jnl`	Rights protection of trajectory datasets with nearest-neighbor preservation. VLDB J. Claudio Lucchese, Michail Vlachos, Deepak Rajan, Philip S. Yu
2010	—	`conf`	Scaling Out All Pairs Similarity Search with MapReduce. LSDS-IR@SIGIR Gianmarco De Francisci Morales, Claudio Lucchese, Ranieri Baraglia
2010	J	`jnl`	The 8th workshop on large-scale distributed systems for information retrieval (LSDS-IR'10). SIGIR Forum Roi Blanco, Berkant Barla Cambazoglu, Claudio Lucchese
2009	J	`jnl`	7th workshop on large-scale distributed systems for information retrieval (LSDS-IR'09). SIGIR Forum Claudio Lucchese, Gleb Skobeltsyn, Wai Gen Yee
2009	J	`jnl`	A constraint-based querying system for exploratory pattern discovery. Inf. Syst. Francesco Bonchi, Fosca Giannotti, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Roberto Trasarti
2009	—	`conf`	Caching Algorithms for Similarity Search. SEBD Fabrizio Falchi, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fausto Rabitti
2009	B	`conf`	Caching content-based queries for robust and efficient image retrieval. EDBT Fabrizio Falchi, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fausto Rabitti
2009	J	`jnl`	CoPhIR: a Test Collection for Content-Based Image Retrieval CoRR Paolo Bolettieri, Andrea Esuli, Fabrizio Falchi, Claudio Lucchese, Raffaele Perego, Tommaso Piccioli, Fausto Rabitti
2009	J	`jnl`	Embedding and Retrieving Private Metadata in Electrocardiograms. J. Medical Syst. Suleyman Serdar Kozat, Michail Vlachos, Claudio Lucchese, Helga Van Herle, Philip S. Yu
2009	—	`ed.`	Proceedings of the 7th Workshop on Large-Scale Distributed Systems for Information Retrieval, co-located with ACM SIGIR 2009, LSDS-IR@SIGIR 2009, Boston, USA, July 23, 2009. LSDS-IR@SIGIR Claudio Lucchese, Gleb Skobeltsyn, Wai Gen Yee
2009	—	`conf`	Searching 100M Images by Content Similarity. IRCDL Paolo Bolettieri, Fabrizio Falchi, Claudio Lucchese, Yosi Mass, Raffaele Perego, Fausto Rabitti, Michal Shmueli-Scheuer
2008	—	`conf`	(Query) History Teaches Everything, Including the Future. LA-WEB Fabrizio Silvestri, Ranieri Baraglia, Claudio Lucchese, Salvatore Orlando, Raffaele Perego
2008	—	`conf`	A metric cache for similarity search. LSDS-IR Fabrizio Falchi, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fausto Rabitti
2008	—	`conf`	Crawling, Indexing, and Similarity Searching Images on the Web. SEBD Michal Batko, Fabrizio Falchi, Claudio Lucchese, David Novak, Raffaele Perego, Fausto Rabitti, Jan Sedmidubský, Pavel Zezula
2008	B	`conf`	Ownership protection of shape datasets with geodesic distance preservation. EDBT Michail Vlachos, Claudio Lucchese, Deepak Rajan, Philip S. Yu
2008	A*	`conf`	Rights Protection of Trajectory Datasets. ICDE Claudio Lucchese, Michail Vlachos, Deepak Rajan, Philip S. Yu
2008	Misc	`conf`	Special track on Engineering Large-Scale Distributed Systems: editorial message. SAC Fabrizio Falchi, Claudio Lucchese
2007	J	`jnl`	Extending the state-of-the-art of constraint-based pattern discovery. Data Knowl. Eng. Francesco Bonchi, Claudio Lucchese
2007	—	`conf`	Mining query logs to optimize index partitioning in parallel web search engines. Infoscale Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri
2007	A*	`conf`	Parallel Mining of Frequent Closed Patterns: Harnessing Modern Computer Architectures. ICDM Claudio Lucchese, Salvatore Orlando, Raffaele Perego
2006	Misc	`conf`	A privacy preserving web recommender system. SAC Ranieri Baraglia, Claudio Lucchese, Salvatore Orlando, Massimo Serranó, Fabrizio Silvestri
2006	A*	`conf`	ConQueSt: a Constraint-based Querying System for Exploratory Pattern Discovery. ICDE Francesco Bonchi, Fosca Giannotti, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Roberto Trasarti
2006	J	`jnl`	Fast and Memory Efficient Mining of Frequent Closed Itemsets. IEEE Trans. Knowl. Data Eng. Claudio Lucchese, Salvatore Orlando, Raffaele Perego
2006	A	`conf`	Mining frequent closed itemsets out-of-core. SDM Claudio Lucchese, Salvatore Orlando, Raffaele Perego
2006	—	`conf`	On Interactive Pattern Mining from Relational Databases. KDID Francesco Bonchi, Fosca Giannotti, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Roberto Trasarti
2006	—	`conf`	On Interactive Pattern Mining from Relational Databases. SEBD Claudio Lucchese, Francesco Bonchi, Fosca Giannotti, Salvatore Orlando, Raffaele Perego, Roberto Trasarti
2006	J	`jnl`	On condensed representations of constrained frequent patterns. Knowl. Inf. Syst. Francesco Bonchi, Claudio Lucchese
2005	—	`conf`	Mining Frequent Closed Itemsets from Distributed Repositories. Knowledge and Data Management in GRIDs Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Claudio Silvestri
2005	B	`conf`	Pushing Tougher Constraints in Frequent Pattern Mining. PAKDD Francesco Bonchi, Claudio Lucchese
2004	—	`conf`	DCI Closed: A Fast and Memory Efficient Algorithm to Mine Frequent Closed Itemsets. FIMI Claudio Lucchese, Salvatore Orlando, Raffaele Perego
2004	A*	`conf`	On Closed Constrained Frequent Pattern Mining. ICDM Francesco Bonchi, Claudio Lucchese
2004	—	`conf`	WebDocs: a real-life huge transactional dataset. FIMI Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri
2004	—	`conf`	kDCI: on using direct count up to the third iteration. FIMI Claudio Lucchese, Salvatore Orlando, Raffaele Perego
2003	—	`conf`	kDCI: a Multi-Strategy Algorithm for Mining Frequent Sets. FIMI Salvatore Orlando, Claudio Lucchese, Paolo Palmerini, Raffaele Perego, Fabrizio Silvestri