Claudio Lucchese

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 93

Top Venues

Publications

Thomas Vecchiato, Claudio Lucchese, Franco Maria Nardini, Sebastian Bruch
A Learning-to-Rank Formulation of Clustering-Based Approximate Nearest Neighbor Search. SIGIR (2024)
Thomas Vecchiato, Claudio Lucchese, Franco Maria Nardini, Sebastian Bruch
A Learning-to-Rank Formulation of Clustering-Based Approximate Nearest Neighbor Search. CoRR (2024)
Stefano Calzavara, Lorenzo Cazzaro, Claudio Lucchese, Giulio Ermanno Pibiri
Verifiable Boosted Tree Ensembles. CoRR (2024)
Sebastian Bruch, Claudio Lucchese, Maria Maistro, Franco Maria Nardini
Special Section on Efficiency in Neural Information Retrieval. ACM Trans. Inf. Syst. 42 (5) (2024)
Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani
Early Exit Strategies for Learning-to-Rank Cascades. IEEE Access 11 (2023)
Sebastian Bruch, Claudio Lucchese, Franco Maria Nardini
Efficient and Effective Tree-based and Neural Learning to Rank. CoRR (2023)
Federico Marcuzzi, Claudio Lucchese, Salvatore Orlando
LambdaRank Gradients are Incoherent. CIKM (2023)
Sebastian Bruch, Claudio Lucchese, Franco Maria Nardini
Efficient and Effective Tree-based and Neural Learning to Rank. Found. Trends Inf. Retr. 17 (1) (2023)
Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Alberto Veneri
GAM Forest Explanation. EDBT (2023)
Stefano Calzavara, Lorenzo Cazzaro, Claudio Lucchese, Federico Marcuzzi
Explainable Global Fairness Verification of Tree-Based Classifiers. SaTML (2023)
Matteo Rizzo, Alberto Veneri, Andrea Albarelli, Claudio Lucchese, Marco S. Nobile, Cristina Conati
A Theoretical Framework for AI Models Explainability with Application in Biomedicine. CIBCB (2023)
Salvatore Orlando, Gabriella Pasi, Sebastian Bruch, Claudio Lucchese, Xiaohui Tao
Preface WI-IAT 2023. WI/IAT (2023)
Stefano Calzavara, Pietro Ferrara, Claudio Lucchese
Certifying machine learning models against evasion attacks by program analysis. J. Comput. Secur. 31 (1) (2023)
Claudio Lucchese, Federico Marcuzzi, Salvatore Orlando
Does LambdaMART Do What You Expect? IIR (2023)
Claudio Lucchese, Federico Marcuzzi, Salvatore Orlando
On the Effect of Low-Ranked Documents: A New Sampling Function for Selective Gradient Boosting. SAC (2023)
Simon Koschel, Sebastian Buschjäger, Claudio Lucchese, Katharina Morik
Fast Inference of Tree Ensembles on ARM Devices. CoRR (2023)
Claudio Lucchese, Giorgia Minello, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri
Can Embeddings Analysis Explain Large Language Model Ranking? CIKM (2023)
Matteo Rizzo, Alberto Veneri, Andrea Albarelli, Claudio Lucchese, Cristina Conati
A Theoretical Framework for AI Models Explainability. CoRR (2022)
Stefano Calzavara, Lorenzo Cazzaro, Claudio Lucchese, Federico Marcuzzi
Explainable Global Fairness Verification of Tree-Based Classifiers. CoRR (2022)
Federico Marcuzzi, Claudio Lucchese, Salvatore Orlando
Filtering out Outliers in Learning to Rank. ICTIR (2022)
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri
ILMART: Interpretable Ranking with Constrained LambdaMART. CoRR (2022)
Seyum Assefa Abebe, Claudio Lucchese, Salvatore Orlando
EiFFFeL: enforcing fairness in forests by flipping leaves. SAC (2022)
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) (2022)
Stefano Calzavara, Lorenzo Cazzaro, Claudio Lucchese, Federico Marcuzzi, Salvatore Orlando
Beyond robustness: Resilience verification of tree-based classifiers. Comput. Secur. 121 (2022)
Federico Marcuzzi, Claudio Lucchese, Salvatore Orlando
SOUR an Outliers Detection Algorithm in Learning to Rank (Abstract). IIR (2022)
Claudio Lucchese, Gianmarco Callegher, Mirko Modenese, Silvia Dassié
A comparison of spatio-temporal prediction methods: a parking availability case study. SAC (2022)
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri
Interpretable Ranking Using LambdaMART (Abstract). IIR (2022)
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri
ILMART: Interpretable Ranking with Constrained LambdaMART. SIGIR (2022)
Sebastian Bruch, Claudio Lucchese, Franco Maria Nardini
ReNeuIR: Reaching Efficiency in Neural Information Retrieval. SIGIR (2022)
Stefano Calzavara, Lorenzo Cazzaro, Claudio Lucchese
AMEBA: An Adaptive Approach to the Black-Box Evasion of Machine Learning Models. AsiaCCS (2021)
Stefano Calzavara, Lorenzo Cazzaro, Claudio Lucchese, Federico Marcuzzi, Salvatore Orlando
Beyond Robustness: Resilience Verification of Tree-Based Classifiers. CoRR (2021)
Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani
Learning Early Exit Strategies for Additive Ranking Ensembles. SIGIR (2021)
Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani
Learning Early Exit Strategies for Additive Ranking Ensembles. CoRR (2021)
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) (2021)
Seyum Assefa Abebe, Claudio Lucchese, Salvatore Orlando
EiFFFeL: Enforcing Fairness in Forests by Flipping Leaves. CoRR (2021)
Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego
Boosting learning to rank with user dynamics and continuation methods. Inf. Retr. J. 23 (6) (2020)
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani
Query-level Early Exit for Additive Learning-to-Rank Ensembles. SIGIR (2020)
Stefano Calzavara, Pietro Ferrara, Claudio Lucchese
Certifying Decision Trees Against Evasion Attacks by Program Analysis. CoRR (2020)
Stefano Calzavara, Claudio Lucchese, Federico Marcuzzi, Salvatore Orlando
Feature Partitioning for Robust Tree Ensembles and their Certification in Adversarial Scenarios. CoRR (2020)
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani
Query-level Early Exit for Additive Learning-to-Rank Ensembles. CoRR (2020)
Stefano Calzavara, Pietro Ferrara, Claudio Lucchese
Certifying Decision Trees Against Evasion Attacks by Program Analysis. ESORICS (2) (2020)
Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego
Improving Learning to Rank By Leveraging User Dynamics and Continuation Methods. SEBD (2020)
Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Salvatore Trani
RankEval: Evaluation and investigation of ranking models. SoftwareX 12 (2020)
Stefano Calzavara, Claudio Lucchese, Gabriele Tolomei, Seyum Assefa Abebe, Salvatore Orlando
Treant: training evasion-aware decision trees. Data Min. Knowl. Discov. 34 (5) (2020)
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) (2019)
Stefano Calzavara, Claudio Lucchese, Gabriele Tolomei
Adversarial Training of Gradient-Boosted Decision Trees. CIKM (2019)
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)
Stefano Calzavara, Claudio Lucchese, Gabriele Tolomei, Seyum Assefa Abebe, Salvatore Orlando
Treant: Training Evasion-Aware Decision Trees. CoRR (2019)
Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Roberto Trani, Rossano Venturini
Efficient and Effective Query Expansion for Web Search. CIKM (2018)
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) (2018)
Mauro Coletto, Claudio Lucchese, Salvatore Orlando
Do Violent People Smile: Social Media Analysis of their Profile Pictures. WWW (Companion Volume) (2018)
Lívia Ruback, Claudio Lucchese, Alexander Arturo Mera Caraballo, Grettel Monteagudo García, Marco Antonio Casanova, Chiara Renso
Computing Entity Semantic Similarity by Features Ranking. CoRR (2018)
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) (2018)
Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Salvatore Orlando, Salvatore Trani
Selective Gradient Boosting for Effective Learning to Rank. SIGIR (2018)
Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego
Continuation Methods and Curriculum Learning for Learning to Rank. CIKM (2018)
Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Salvatore Trani
The Impact of Negative Samples on Learning to Rank. LEARNER@ICTIR (2017)
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 (2017)
Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego
LEARning Next gEneration Rankers (LEARNER 2017). ICTIR (2017)
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)
Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego
On Including the User Dynamic in Learning to Rank. SIGIR (2017)
Mauro Coletto, Kiran Garimella, Aristides Gionis, Claudio Lucchese
A Motif-based Approach for Identifying Controversy. CoRR (2017)
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)
Mauro Coletto, Kiran Garimella, Aristides Gionis, Claudio Lucchese
A Motif-Based Approach for Identifying Controversy. ICWSM (2017)
Mauro Coletto, Luca Maria Aiello, Claudio Lucchese, Fabrizio Silvestri
Adult content consumption in online social networks. Soc. Netw. Anal. Min. 7 (1) (2017)
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)
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani
X-DART: Blending Dropout and Pruning for Efficient Learning to Rank. SIGIR (2017)
Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego
Report on LEARNER 2017: 1st International Workshop on LEARning Next gEneration Rankers. SIGIR Forum 51 (3) (2017)
Lívia Ruback, Marco Antonio Casanova, Chiara Renso, Claudio Lucchese
SELEcTor: Discovering Similar Entities on LinkEd DaTa by Ranking Their Features. ICSC (2017)
Claudio Lucchese, Franco Maria Nardini
Efficiency/Effectiveness Trade-offs in Learning to Rank. ICTIR (2017)
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) (2017)
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)
Mauro Coletto, Kiran Garimella, Aristides Gionis, Claudio Lucchese
Automatic controversy detection in social media: A content-independent motif-based approach. Online Soc. Networks Media (2017)
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)
Mauro Coletto, Luca Maria Aiello, Claudio Lucchese, Fabrizio Silvestri
Pornography consumption in Social Media. CoRR (2016)
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)
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) (2016)
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Salvatore Trani
Post-Learning Optimization of Tree Ensembles. IIR (2016)
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Salvatore Trani
Post-Learning Optimization of Tree Ensembles for Efficient Ranking. SIGIR (2016)
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) (2016)
Mauro Coletto, Claudio Lucchese, Salvatore Orlando, Raffaele Perego
Polarized User and Topic Tracking in Twitter. CoRR (2016)
Mauro Coletto, Claudio Lucchese, Salvatore Orlando, Raffaele Perego
Polarized User and Topic Tracking in Twitter. SIGIR (2016)
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Gabriele Tolomei
Learning to Rank User Queries to Detect Search Tasks. ICTIR (2016)
Claudio Lucchese, Salvatore Orlando, Raffaele Perego
Evaluating Top-K Approximate Patterns via Text Clustering. DaWaK (2016)
Andrea Gigli, Claudio Lucchese, Franco Maria Nardini, Raffaele Perego
Fast Feature Selection for Learning to Rank. ICTIR (2016)
Domenico Dato, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini
Ranking Documents Effciently with QuickScorer. SEBD (2016)
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)
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)
Mussab Zneika, Claudio Lucchese, Dan Vodislav, Dimitris Kotzinos
Summarizing Linked Data RDF Graphs Using Approximate Graph Pattern Mining. EDBT (2016)
Mauro Coletto, Luca Maria Aiello, Claudio Lucchese, Fabrizio Silvestri
On the Behaviour of Deviant Communities in Online Social Networks. ICWSM (2016)
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 (2016)
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)
Salvatore Trani, Diego Ceccarelli, Claudio Lucchese, Salvatore Orlando, Raffaele Perego
SEL: A Unified Algorithm for Entity Linking and Saliency Detection. DocEng (2016)
Mauro Coletto, Luca Maria Aiello, Claudio Lucchese, Fabrizio Silvestri
On the Behaviour of Deviant Communities in Online Social Networks. CoRR (2016)
Alessandro Lulli, Laura Ricci, Emanuele Carlini, Patrizio Dazzi, Claudio Lucchese
Cracker: Crumbling large graphs into connected components. ISCC (2015)
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)
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto
Speeding up Document Ranking with Rank-based Features. SIGIR (2015)
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)
Mussab Zneika, Claudio Lucchese, Dan Vodislav, Dimitris Kotzinos
RDF Graph Summarization Based on Approximate Patterns. ISIP (2015)
Mauro Coletto, Claudio Lucchese, Salvatore Orlando, Raffaele Perego
Electoral Predictions with Twitter: A Machine-Learning approach. IIR (2015)
Claudio Lucchese, Salvatore Orlando, Raffaele Perego
Supervised Evaluation of Top-k Itemset Mining Algorithms. DaWaK (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Claudio Lucchese