Franco Maria Nardini
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
73
Venues
18
Active years
2008–2026
Best venue rank
A*
Where they publish
Papers
73 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ECIR | Forward Index Compression for Learned Sparse Retrieval. | Sebastian Bruch, Martino Fontana, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini |
| 2026 | ECIR | Evaluating the Efficiency and Effectiveness of Learned Sparse Retrieval with the lsr_benchmark. | Maik Frbe, Ferdinand Schlatt, Cosimo Rulli, Tim Hagen, Jan Heinrich Merker, Gijs Hendriksen, Carlos Lassance, Franco Maria Nardini, Rossano Venturini, Martin Potthast |
| 2026 | ECIR | Multivector Reranking in the Era of Strong First-Stage Retrievers. | Silvio Martinico, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini |
| 2026 | SIGIR | ReNeuIR at SIGIR 2026: The Fifth Workshop on Reaching Efficiency in Neural Information Retrieval. | Maik Frbe, Tim Hagen, Franco Maria Nardini, Martin Potthast |
| 2026 | SIGIR | Efficient Multivector Retrieval with Token-Aware Clustering and Hierarchical Indexing. | Silvio Martinico, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini |
| 2026 | SIGIR | Sparton: Fast and Memory-Efficient Triton Kernel for Learned Sparse Retrieval. | Thong Nguyen, Cosimo Rulli, Franco Maria Nardini, Rossano Venturini, Andrew Yates |
| 2025 | CCGRID | Power- and Fragmentation-Aware Online Scheduling for GPU Datacenters. | Francesco Lettich, Emanuele Carlini, Franco Maria Nardini, Raffaele Perego, Salvatore Trani |
| 2025 | ECIR | Investigating the Scalability of Approximate Sparse Retrieval Algorithms to Massive Datasets. | Sebastian Bruch, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini, Leonardo Venuta |
| 2025 | ECIR | kANNolo: Sweet and Smooth Approximate k-Nearest Neighbors Search. | Leonardo Delfino, Domenico Erriquez, Silvio Martinico, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini |
| 2025 | EMNLP | FoodSafeSum: Enabling Natural Language Processing Applications for Food Safety Document Summarization and Analysis. | Juli Bakagianni, Korbinian Randl, Guido Rocchietti, Cosimo Rulli, Franco Maria Nardini, Salvatore Trani, Aron Henriksson, Anna Romanova, John Pavlopoulos |
| 2025 | SIGIR | ReNeuIR at SIGIR 2025: The Fourth Workshop on Reaching Efficiency in Neural Information Retrieval. | Sebastian Bruch, Maik Frbe, Tim Hagen, Franco Maria Nardini, Martin Potthast |
| 2025 | SIGIR | CoSRec: A Joint Conversational Search and Recommendation Dataset. | Marco Alessio, Simone Merlo, Tommaso Di Noia, Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Cristina Ioana Muntean, Franco Maria Nardini, Fedelucio Narducci, Raffaele Perego, Giuseppe Santucci, Nicola Viterbo |
| 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 | SIGIR | Efficient Approximate Nearest Neighbor Search on a Raspberry Pi. | Silvio Martinico, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini |
| 2025 | SIGIR | Efficient Conversational Search via Topical Locality in Dense Retrieval. | Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Guido Rocchietti, Cosimo Rulli |
| 2025 | SIGIR | Effective Inference-Free Retrieval for Learned Sparse Representations. | Franco Maria Nardini, Thong Nguyen, Cosimo Rulli, Rossano Venturini, Andrew Yates |
| 2024 | CIKM | Pairing Clustered Inverted Indexes with κ-NN Graphs for Fast Approximate Retrieval over Learned Sparse Representations. | Sebastian Bruch, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini |
| 2024 | CIKM | Early Exit Strategies for Approximate | Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani |
| 2024 | ECIR | Efficient Multi-vector Dense Retrieval with Bit Vectors. | Franco Maria Nardini, Cosimo Rulli, Rossano Venturini |
| 2024 | ICDE | Distilled Neural Networks for Efficient Learning to Rank: (Extended Abstract). | Franco Maria Nardini, Cosimo Rulli, Salvatore Trani, Rossano Venturini |
| 2024 | SIGIR | Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations. | Sebastian Bruch, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini |
| 2024 | SIGIR | ReNeuIR at SIGIR 2024: The Third Workshop on Reaching Efficiency in Neural Information Retrieval. | Maik Frbe, Joel Mackenzie, Bhaskar Mitra, Franco Maria Nardini, Martin Potthast |
| 2024 | SIGIR | A Learning-to-Rank Formulation of Clustering-Based Approximate Nearest Neighbor Search. | Thomas Vecchiato, Claudio Lucchese, Franco Maria Nardini, Sebastian Bruch |
| 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 | Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation. | Vincenzo Paparella, Vito Walter Anelli, Franco Maria Nardini, Raffaele Perego, Tommaso Di Noia |
| 2023 | SIGIR | ReNeuIR at SIGIR 2023: The Second Workshop on Reaching Efficiency in Neural Information Retrieval. | Sebastian Bruch, Joel Mackenzie, Maria Maistro, Franco Maria Nardini |
| 2022 | ECIR | Ensemble Model Compression for Fast and Energy-Efficient Ranking on FPGAs. | Veronica Gil-Costa, Fernando Loor, Romina Molina, Franco Maria Nardini, Raffaele Perego, Salvatore Trani |
| 2022 | SIGIR | ReNeuIR: Reaching Efficiency in Neural Information Retrieval. | Sebastian Bruch, Claudio Lucchese, Franco Maria Nardini |
| 2022 | SIGIR | The Istella22 Dataset: Bridging Traditional and Neural Learning to Rank Evaluation. | Domenico Dato, Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto |
| 2022 | SIGIR | ILMART: Interpretable Ranking with Constrained LambdaMART. | Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri |
| 2021 | ICTAI | RMkNN and KNORA-IU: Combining Imbalanced Dynamic Selection Techniques for Credit Scoring. | Leopoldo Melo Junior, Jos Antnio Fernandes de Macdo, Franco Maria Nardini, Chiara Renso |
| 2021 | SIGIR | Learning Early Exit Strategies for Additive Ranking Ensembles. | Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani |
| 2021 | SPIRE | TSXor: A Simple Time Series Compression Algorithm. | Andrea Bruno, Franco Maria Nardini, Giulio Ermanno Pibiri, Roberto Trani, Rossano Venturini |
| 2020 | DIS | Predicting and Explaining Privacy Risk Exposure in Mobility Data. | Francesca Naretto, Roberto Pellungrini, Anna Monreale, Franco Maria Nardini, Mirco Musolesi |
| 2020 | EDBT | Dynamic Wi-Fi RSSI normalization in unmapped locations. | Hanna Kavalionak, Massimo Tosato, Paolo Barsocchi, Franco Maria Nardini |
| 2020 | SIGIR | Query-level Early Exit for Additive Learning-to-Rank Ensembles. | Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani |
| 2020 | SIGIR | Efficient Document Re-Ranking for Transformers by Precomputing Term Representations. | Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder |
| 2020 | SIGIR | Training Curricula for Open Domain Answer Re-Ranking. | Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder |
| 2020 | SIGIR | Expansion via Prediction of Importance with Contextualization. | Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder |
| 2020 | SIGIR | Topic Propagation in Conversational Search. | Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Ophir Frieder |
| 2019 | ICMLA | An Empirical Comparison of Classification Algorithms for Imbalanced Credit Scoring Datasets. | Leopoldo Soares de Melo Junior, Franco Maria Nardini, Chiara Renso, Jos Antnio Fernandes de Macdo |
| 2019 | ICTAI | KNORA-IU: Improving the Dynamic Selection Prediction in Imbalanced Credit Scoring Problems. | Leopoldo Melo Junior, Franco Maria Nardini, Chiara Renso, Jos A. F. de Macdo |
| 2019 | SIGIR | Enhanced News Retrieval: Passages Lead the Way! | Matteo Catena, Ophir Frieder, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto |
| 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 |
| 2019 | SIGIR | Fast Approximate Filtering of Search Results Sorted by Attribute. | Franco Maria Nardini, Roberto Trani, Rossano Venturini |
| 2019 | SPIRE | An Optimal Algorithm to Find Champions of Tournament Graphs. | Lorenzo Beretta, Franco Maria Nardini, Roberto Trani, Rossano Venturini |
| 2018 | CIKM | Efficient and Effective Query Expansion for Web Search. | Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Roberto Trani, Rossano Venturini |
| 2018 | SIGIR | Selective Gradient Boosting for Effective Learning to Rank. | Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Salvatore Orlando, Salvatore Trani |
| 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 | 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 | 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 | MDM | Group Finder: An Item-Driven Group Formation Framework. | Igo Ramalho Brilhante, Jos Antnio Fernandes de Macdo, Franco Maria Nardini, Raffaele Perego, Chiara Renso |
| 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 | ISMIS | MUSETS: Diversity-Aware Web Query Suggestions for Shortening User Sessions. | Marcin Sydow, Cristina Ioana Muntean, Franco Maria Nardini, Stan Matwin, Fabrizio Silvestri |
| 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 | ECIR | TripBuilder: A Tool for Recommending Sightseeing Tours. | Igo Ramalho Brilhante, Jos Antnio Fernandes de Macdo, Franco Maria Nardini, Raffaele Perego, Chiara Renso |
| 2013 | CIKM | LearNext: learning to predict tourists movements. | Ranieri Baraglia, Cristina Ioana Muntean, Franco Maria Nardini, Fabrizio Silvestri |
| 2013 | CIKM | Where shall we go today?: planning touristic tours with tripbuilder. | Igo Ramalho Brilhante, Jos Antnio Fernandes de Macdo, Franco Maria Nardini, Raffaele Perego, Chiara Renso |
| 2013 | WWW | Learning to shorten query sessions. | Cristina Ioana Muntean, Franco Maria Nardini, Fabrizio Silvestri, Marcin Sydow |
| 2013 | SAC | When entities meet query recommender systems: semantic search shortcuts. | Diego Ceccarelli, Sergiu Gordea, Claudio Lucchese, Franco Maria Nardini, Raffaele Perego |
| 2012 | CIKM | Interactive and context-aware tag spell check and correction. | Francesco Bonchi, Ophir Frieder, Franco Maria Nardini, Fabrizio Silvestri, Hossein Vahabi |
| 2011 | WWW | Efficient diversification of search results using query logs. | Gabriele Capannini, Franco Maria Nardini, Raffaele Perego, Fabrizio Silvestri |
| 2010 | IWCMC | Resource discovery support for time-critical adaptive applications. | Carlo Bertolli, Daniele Buono, Gabriele Mencagli, Massimo Torquati, Marco Vanneschi, Matteo Mordacchini, Franco Maria Nardini |
| 2010 | SPIRE | Incremental Algorithms for Effective and Efficient Query Recommendation. | Daniele Broccolo, Ophir Frieder, Franco Maria Nardini, Raffaele Perego, Fabrizio Silvestri |
| 2010 | SPIRE | On Tag Spell Checking. | Franco Maria Nardini, Fabrizio Silvestri, Hossein Vahabi, Pedram Vahabi, Ophir Frieder |
| 2009 | CIKM | Aging effects on query flow graphs for query suggestion. | Ranieri Baraglia, Carlos Castillo, Debora Donato, Franco Maria Nardini, Raffaele Perego, Fabrizio Silvestri |
| 2009 | SIGIR | Sorting using BItonic netwoRk wIth CUDA. | Gabriele Capannini, Fabrizio Silvestri, Ranieri Baraglia, Franco Maria Nardini |
| 2008 | HPDC | Collaborative ranking of grid-enabled workflow service providers. | Domenico Laforenza, Franco Maria Nardini, Fabrizio Silvestri |