Claudio Lucchese
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
72
Venues
21
Active years
2004–2025
Best venue rank
A*
Where they publish
- A*SIGIR17 papers
- ACIKM13 papers
- MulticonferenceSAC7 papers
- UnrankedICTIR6 papers
- BEDBT5 papers
- A*ICDM3 papers
- AECIR2 papers
- AICWSM2 papers
- BDaWaK2 papers
- AWSDM2 papers
- ASDM2 papers
- A*ICDE2 papers
- A*SP1 paper
- CCIBCB1 paper
- AAsiaCCS1 paper
- AESORICS1 paper
- A*WWW1 paper
- BDocEng1 paper
- CISCC1 paper
- A*KDD1 paper
- BPAKDD1 paper
Papers
72 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ECIR | LambdaFair for Fair and Effective Ranking. | Federico Marcuzzi, Claudio Lucchese, Salvatore Orlando |
| 2025 | SIGIR | Efficient Re-ranking with Cross-encoders via Early Exit. | Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani, Alberto Veneri |
| 2025 | SP | Verifiable Boosted Tree Ensembles. | Stefano Calzavara, Lorenzo Cazzaro, Claudio Lucchese, Giulio Ermanno Pibiri |
| 2024 | CIKM | Early Exit Strategies for Approximate | Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani |
| 2024 | SIGIR | A Learning-to-Rank Formulation of Clustering-Based Approximate Nearest Neighbor Search. | Thomas Vecchiato, Claudio Lucchese, Franco Maria Nardini, Sebastian Bruch |
| 2023 | CIBCB | A Theoretical Framework for AI Models Explainability with Application in Biomedicine. | Matteo Rizzo, Alberto Veneri, Andrea Albarelli, Claudio Lucchese, Marco S. Nobile, Cristina Conati |
| 2023 | CIKM | Can Embeddings Analysis Explain Large Language Model Ranking? | Claudio Lucchese, Giorgia Minello, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri |
| 2023 | CIKM | LambdaRank Gradients are Incoherent. | Federico Marcuzzi, Claudio Lucchese, Salvatore Orlando |
| 2023 | EDBT | GAM Forest Explanation. | Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Alberto Veneri |
| 2023 | SAC | On the Effect of Low-Ranked Documents: A New Sampling Function for Selective Gradient Boosting. | Claudio Lucchese, Federico Marcuzzi, Salvatore Orlando |
| 2022 | ICTIR | Filtering out Outliers in Learning to Rank. | Federico Marcuzzi, Claudio Lucchese, Salvatore Orlando |
| 2022 | SAC | EiFFFeL: enforcing fairness in forests by flipping leaves. | Seyum Assefa Abebe, Claudio Lucchese, Salvatore Orlando |
| 2022 | SAC | A comparison of spatio-temporal prediction methods: a parking availability case study. | Claudio Lucchese, Gianmarco Callegher, Mirko Modenese, Silvia Dassi |
| 2022 | SIGIR | ReNeuIR: Reaching Efficiency in Neural Information Retrieval. | Sebastian Bruch, Claudio Lucchese, Franco Maria Nardini |
| 2022 | SIGIR | ILMART: Interpretable Ranking with Constrained LambdaMART. | Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri |
| 2021 | AsiaCCS | AMEBA: An Adaptive Approach to the Black-Box Evasion of Machine Learning Models. | Stefano Calzavara, Lorenzo Cazzaro, Claudio Lucchese |
| 2021 | SIGIR | Learning Early Exit Strategies for Additive Ranking Ensembles. | Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani |
| 2020 | ESORICS | Certifying Decision Trees Against Evasion Attacks by Program Analysis. | Stefano Calzavara, Pietro Ferrara, Claudio Lucchese |
| 2020 | SIGIR | Query-level Early Exit for Additive Learning-to-Rank Ensembles. | Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani |
| 2019 | CIKM | Adversarial Training of Gradient-Boosted Decision Trees. | Stefano Calzavara, Claudio Lucchese, Gabriele Tolomei |
| 2019 | SIGIR | Learning to Rank in Theory and Practice: From Gradient Boosting to Neural Networks and Unbiased Learning. | Claudio Lucchese, Franco Maria Nardini, Rama Kumar Pasumarthi, Sebastian Bruch, Michael Bendersky, Xuanhui Wang, Harrie Oosterhuis, Rolf Jagerman, Maarten de Rijke |
| 2018 | CIKM | Continuation Methods and Curriculum Learning for Learning to Rank. | Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego |
| 2018 | CIKM | Efficient and Effective Query Expansion for Web Search. | Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Roberto Trani, Rossano Venturini |
| 2018 | WWW | Do Violent People Smile: Social Media Analysis of their Profile Pictures. | Mauro Coletto, Claudio Lucchese, Salvatore Orlando |
| 2018 | SIGIR | Selective Gradient Boosting for Effective Learning to Rank. | Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Salvatore Orlando, Salvatore Trani |
| 2017 | ICTIR | LEARning Next gEneration Rankers (LEARNER 2017). | Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego |
| 2017 | ICTIR | Efficiency/Effectiveness Trade-offs in Learning to Rank. | Claudio Lucchese, Franco Maria Nardini |
| 2017 | ICTIR | The Impact of Negative Samples on Learning to Rank. | Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Salvatore Trani |
| 2017 | ICWSM | A Motif-Based Approach for Identifying Controversy. | Mauro Coletto, Kiran Garimella, Aristides Gionis, Claudio Lucchese |
| 2017 | SIGIR | On Including the User Dynamic in Learning to Rank. | Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego |
| 2017 | SIGIR | RankEval: An Evaluation and Analysis Framework for Learning-to-Rank Solutions. | Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Salvatore Trani |
| 2017 | SIGIR | X-DART: Blending Dropout and Pruning for Efficient Learning to Rank. | Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani |
| 2016 | DaWaK | Evaluating Top-K Approximate Patterns via Text Clustering. | Claudio Lucchese, Salvatore Orlando, Raffaele Perego |
| 2016 | DocEng | SEL: A Unified Algorithm for Entity Linking and Saliency Detection. | Salvatore Trani, Diego Ceccarelli, Claudio Lucchese, Salvatore Orlando, Raffaele Perego |
| 2016 | EDBT | Summarizing Linked Data RDF Graphs Using Approximate Graph Pattern Mining. | Mussab Zneika, Claudio Lucchese, Dan Vodislav, Dimitris Kotzinos |
| 2016 | ICTIR | Fast Feature Selection for Learning to Rank. | Andrea Gigli, Claudio Lucchese, Franco Maria Nardini, Raffaele Perego |
| 2016 | ICTIR | Learning to Rank User Queries to Detect Search Tasks. | Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Gabriele Tolomei |
| 2016 | ICWSM | On the Behaviour of Deviant Communities in Online Social Networks. | Mauro Coletto, Luca Maria Aiello, Claudio Lucchese, Fabrizio Silvestri |
| 2016 | SIGIR | Polarized User and Topic Tracking in Twitter. | Mauro Coletto, Claudio Lucchese, Salvatore Orlando, Raffaele Perego |
| 2016 | SIGIR | Post-Learning Optimization of Tree Ensembles for Efficient Ranking. | Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Salvatore Trani |
| 2016 | SIGIR | Exploiting CPU SIMD Extensions to Speed-up Document Scoring with Tree Ensembles. | Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini |
| 2015 | DaWaK | Supervised Evaluation of Top-k Itemset Mining Algorithms. | Claudio Lucchese, Salvatore Orlando, Raffaele Perego |
| 2015 | ISCC | Cracker: Crumbling large graphs into connected components. | Alessandro Lulli, Laura Ricci, Emanuele Carlini, Patrizio Dazzi, Claudio Lucchese |
| 2015 | SIGIR | Speeding up Document Ranking with Rank-based Features. | Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto |
| 2015 | SIGIR | QuickScorer: A Fast Algorithm to Rank Documents with Additive Ensembles of Regression Trees. | Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini |
| 2014 | CIKM | Manual Annotation of Semi-Structured Documents for Entity-Linking. | Salvatore Trani, Diego Ceccarelli, Claudio Lucchese, Salvatore Orlando, Raffaele Perego |
| 2013 | CIKM | Learning relatedness measures for entity linking. | Diego Ceccarelli, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Salvatore Trani |
| 2013 | CIKM | Dexter: an open source framework for entity linking. | Diego Ceccarelli, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Salvatore Trani |
| 2013 | CIKM | Twitter anticipates bursts of requests for Wikipedia articles. | Gabriele Tolomei, Salvatore Orlando, Diego Ceccarelli, Claudio Lucchese |
| 2013 | SAC | When entities meet query recommender systems: semantic search shortcuts. | Diego Ceccarelli, Sergiu Gordea, Claudio Lucchese, Franco Maria Nardini, Raffaele Perego |
| 2012 | CIKM | You should read this! let me explain you why: explaining news recommendations to users. | Roi Blanco, Diego Ceccarelli, Claudio Lucchese, Raffaele Perego, Fabrizio Silvestri |
| 2012 | ECIR | How Random Walks Can Help Tourism. | Claudio Lucchese, Raffaele Perego, Fabrizio Silvestri, Hossein Vahabi, Rossano Venturini |
| 2012 | WSDM | From chatter to headlines: harnessing the real-time web for personalized news recommendation. | Gianmarco De Francisci Morales, Aristides Gionis, Claudio Lucchese |
| 2011 | CIKM | LSDS-IR'11: the 9th workshop on large-scale and distributed systems for information retrieval. | Claudio Lucchese, Berkant Barla Cambazoglu |
| 2011 | EDBT | Caching query-biased snippets for efficient retrieval. | Diego Ceccarelli, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri |
| 2011 | KDD | Direct local pattern sampling by efficient two-step random procedures. | Mario Boley, Claudio Lucchese, Daniel Paurat, Thomas Grtner |
| 2011 | WSDM | Identifying task-based sessions in search engine query logs. | Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Gabriele Tolomei |
| 2010 | ICDM | Document Similarity Self-Join with MapReduce. | Ranieri Baraglia, Gianmarco De Francisci Morales, Claudio Lucchese |
| 2010 | SAC | A generative pattern model for mining binary datasets. | Claudio Lucchese, Salvatore Orlando, Raffaele Perego |
| 2010 | SIGIR | Scaling Out All Pairs Similarity Search with MapReduce. | Gianmarco De Francisci Morales, Claudio Lucchese, Ranieri Baraglia |
| 2010 | SDM | Mining Top-K Patterns from Binary Datasets in Presence of Noise. | Claudio Lucchese, Salvatore Orlando, Raffaele Perego |
| 2009 | EDBT | Caching content-based queries for robust and efficient image retrieval. | Fabrizio Falchi, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fausto Rabitti |
| 2008 | CIKM | A metric cache for similarity search. | Fabrizio Falchi, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fausto Rabitti |
| 2008 | EDBT | Ownership protection of shape datasets with geodesic distance preservation. | Michail Vlachos, Claudio Lucchese, Deepak Rajan, Philip S. Yu |
| 2008 | ICDE | Rights Protection of Trajectory Datasets. | Claudio Lucchese, Michail Vlachos, Deepak Rajan, Philip S. Yu |
| 2008 | SAC | Special track on Engineering Large-Scale Distributed Systems: editorial message. | Fabrizio Falchi, Claudio Lucchese |
| 2007 | ICDM | Parallel Mining of Frequent Closed Patterns: Harnessing Modern Computer Architectures. | Claudio Lucchese, Salvatore Orlando, Raffaele Perego |
| 2006 | ICDE | ConQueSt: a Constraint-based Querying System for Exploratory Pattern Discovery. | Francesco Bonchi, Fosca Giannotti, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Roberto Trasarti |
| 2006 | SAC | A privacy preserving web recommender system. | Ranieri Baraglia, Claudio Lucchese, Salvatore Orlando, Massimo Serran, Fabrizio Silvestri |
| 2006 | SDM | Mining frequent closed itemsets out-of-core. | Claudio Lucchese, Salvatore Orlando, Raffaele Perego |
| 2005 | PAKDD | Pushing Tougher Constraints in Frequent Pattern Mining. | Francesco Bonchi, Claudio Lucchese |
| 2004 | ICDM | On Closed Constrained Frequent Pattern Mining. | Francesco Bonchi, Claudio Lucchese |