Collaborative ranking of grid-enabled workflow service providers. - Domenico Laforenza; Franco Maria Nardini; Fabrizio Silvestri (HPDC, 2008)

SPRANKER: A Discovery Tool to Rank Service Providers Using Quality of Experience. - Domenico Laforenza; Franco Maria Nardini; Fabrizio Silvestri; Gabriele Tolomei (ERCIM News, 2008)

Aging effects on query flow graphs for query suggestion. - Ranieri Baraglia; Carlos Castillo 001; Debora Donato; Franco Maria Nardini; Raffaele Perego 001; Fabrizio Silvestri (CIKM, 2009)

Sorting using BItonic netwoRk wIth CUDA. - Gabriele Capannini; Fabrizio Silvestri; Ranieri Baraglia; Franco Maria Nardini (LSDS-IR@SIGIR, 2009)

Refreshing Models to Provide Timely Query Recommendations. - Daniele Broccolo; Franco Maria Nardini; Raffaele Perego 001; Fabrizio Silvestri (IIR, 2010)

Resource discovery support for time-critical adaptive applications. - Carlo Bertolli; Daniele Buono; Gabriele Mencagli; Massimo Torquati; Marco Vanneschi; Matteo Mordacchini; Franco Maria Nardini (IWCMC, 2010)

The effects of time on query flow graph-based models for query suggestion. - Ranieri Baraglia; Franco Maria Nardini; Carlos Castillo 001; Raffaele Perego 001; Debora Donato; Fabrizio Silvestri (RIAO, 2010)

Incremental Algorithms for Effective and Efficient Query Recommendation. - Daniele Broccolo; Ophir Frieder; Franco Maria Nardini; Raffaele Perego 001; Fabrizio Silvestri (SPIRE, 2010)

On Tag Spell Checking. - Franco Maria Nardini; Fabrizio Silvestri; Hossein Vahabi; Pedram Vahabi; Ophir Frieder (SPIRE, 2010)

Improving Europeana Search Experience Using Query Logs. - Diego Ceccarelli; Sergiu Gordea; Claudio Lucchese; Franco Maria Nardini; Gabriele Tolomei (TPDL, 2011)

RGU-ISTI-Essex at TREC 2011 Session Track. - Ibrahim Adeyanju; Dawei Song 001; Franco Maria Nardini; M-Dyaa Albakour; Udo Kruschwitz (TREC, 2011)

Efficient diversification of search results using query logs. - Gabriele Capannini; Franco Maria Nardini; Raffaele Perego 001; Fabrizio Silvestri (WWW (Companion Volume), 2011)

Discovering Europeana Users' Search Behavior. - Diego Ceccarelli; Sergiu Gordea; Claudio Lucchese; Franco Maria Nardini; Raffaele Perego 001; Gabriele Tolomei (ERCIM News, 2011)

Efficient Diversification of Web Search Results. - Gabriele Capannini; Franco Maria Nardini; Raffaele Perego 001; Fabrizio Silvestri (Proc. VLDB Endow., 2011)

Query Log Mining to Enhance User Experience in Search Engines. - Franco Maria Nardini (2011)

A Trajectory-Based Recommender System for Tourism. - Ranieri Baraglia; Claudio Frattari; Cristina Ioana Muntean; Franco Maria Nardini; Fabrizio Silvestri (AMT, 2012)

Interactive and context-aware tag spell check and correction. - Francesco Bonchi; Ophir Frieder; Franco Maria Nardini; Fabrizio Silvestri; Hossein Vahabi (CIKM, 2012)

RecTour: A Recommender System for Tourists. - Ranieri Baraglia; Claudio Frattari; Cristina Ioana Muntean; Franco Maria Nardini; Fabrizio Silvestri (Web Intelligence/IAT Workshops, 2012)

Generating suggestions for queries in the long tail with an inverted index. - Daniele Broccolo; Lorenzo Marcon; Franco Maria Nardini; Raffaele Perego 001; Fabrizio Silvestri (Inf. Process. Manag., 2012)

LearNext: learning to predict tourists movements. - Ranieri Baraglia; Cristina Ioana Muntean; Franco Maria Nardini; Fabrizio Silvestri (CIKM, 2013)

Where shall we go today?: planning touristic tours with tripbuilder. - Igo Ramalho Brilhante; José Antônio Fernandes de Macêdo; Franco Maria Nardini; Raffaele Perego 001; Chiara Renso (CIKM, 2013)

On Suggesting Entities as Web Search Queries. - Diego Ceccarelli; Sergiu Gordea; Claudio Lucchese; Franco Maria Nardini; Raffaele Perego 001 (IIR, 2013)

When entities meet query recommender systems: semantic search shortcuts. - Diego Ceccarelli; Sergiu Gordea; Claudio Lucchese; Franco Maria Nardini; Raffaele Perego 001 (SAC, 2013)

Learning to shorten query sessions. - Cristina Ioana Muntean; Franco Maria Nardini; Fabrizio Silvestri; Marcin Sydow (WWW (Companion Volume), 2013)

TripBuilder: A Tool for Recommending Sightseeing Tours. - Igo Ramalho Brilhante; José Antônio Fernandes de Macêdo; Franco Maria Nardini; Raffaele Perego 001; Chiara Renso (ECIR, 2014)

Scaling up the Mining of Semantically-enriched Trajectories: TripBuilder at the World Level. - Igo Ramalho Brilhante; José Antônio Fernandes de Macêdo; Franco Maria Nardini; Raffaele Perego 001; Chiara Renso (IIR, 2015)

QuickRank: a C++ Suite of Learning to Rank Algorithms. - Gabriele Capannini; Domenico Dato; Claudio Lucchese; Monica Mori; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Nicola Tonellotto (IIR, 2015)

Gamification in Information Retrieval: State of the Art, Challenges and Opportunities. - Cristina Ioana Muntean; Franco Maria Nardini (IIR, 2015)

MUSETS: Diversity-Aware Web Query Suggestions for Shortening User Sessions. - Marcin Sydow; Cristina Ioana Muntean; Franco Maria Nardini; Stan Matwin; Fabrizio Silvestri (ISMIS, 2015)

Speeding up Document Ranking with Rank-based Features. - Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Nicola Tonellotto (SIGIR, 2015)

QuickScorer: A Fast Algorithm to Rank Documents with Additive Ensembles of Regression Trees. - Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Nicola Tonellotto; Rossano Venturini (SIGIR, 2015)

On planning sightseeing tours with TripBuilder. - Igo Ramalho Brilhante; José Antônio Fernandes de Macêdo; Franco Maria Nardini; Raffaele Perego 001; Chiara Renso (Inf. Process. Manag., 2015)

Planning sightseeing tours using crowdsensed trajectories. - Igo Ramalho Brilhante; José Antônio Fernandes de Macêdo; Franco Maria Nardini; Raffaele Perego 001; Chiara Renso (ACM SIGSPATIAL Special, 2015)

On Learning Prediction Models for Tourists Paths. - Cristina Ioana Muntean; Franco Maria Nardini; Fabrizio Silvestri; Ranieri Baraglia (ACM Trans. Intell. Syst. Technol., 2015)

Sentiment-enhanced multidimensional analysis of online social networks: Perception of the mediterranean refugees crisis. - Mauro Coletto; Andrea Esuli; Claudio Lucchese; Cristina Ioana Muntean; Franco Maria Nardini; Raffaele Perego 001; Chiara Renso (ASONAM, 2016)

Fast Feature Selection for Learning to Rank. - Andrea Gigli; Claudio Lucchese; Franco Maria Nardini; Raffaele Perego 001 (ICTIR, 2016)

Learning to Rank User Queries to Detect Search Tasks. - Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Gabriele Tolomei (ICTIR, 2016)

GPU-based Parallelization of QuickScorer to Speed-up Document Ranking with Tree Ensembles. - Francesco Lettich; Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Nicola Tonellotto; Rossano Venturini (IIR, 2016)

Post-Learning Optimization of Tree Ensembles. - Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Fabrizio Silvestri; Salvatore Trani (IIR, 2016)

Speeding-up Document Scoring with Tree Ensembles using CPU SIMD Extensions. - Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Nicola Tonellotto; Rossano Venturini (IIR, 2016)

Understanding Human Mobility During Events in Foursquare. - Cristina Ioana Muntean; Franco Maria Nardini; Anastasios Noulas (IIR, 2016)

User-Item Group Formation with GroupFinder. - Chiara Renso; José Antônio Fernandes de Macêdo; Franco Maria Nardini; Raffaele Perego 001; Igo Ramalho Brilhante (IIR, 2016)

Group Finder: An Item-Driven Group Formation Framework. - Igo Ramalho Brilhante; José Antônio Fernandes de Macêdo; Franco Maria Nardini; Raffaele Perego 001; Chiara Renso (MDM, 2016)

Ranking Documents Effciently with QuickScorer. - Domenico Dato; Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Nicola Tonellotto; Rossano Venturini (SEBD, 2016)

Post-Learning Optimization of Tree Ensembles for Efficient Ranking. - Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Fabrizio Silvestri; Salvatore Trani (SIGIR, 2016)

Exploiting CPU SIMD Extensions to Speed-up Document Scoring with Tree Ensembles. - Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Nicola Tonellotto; Rossano Venturini (SIGIR, 2016)

Fast Traversal of Large Ensembles of Regression Trees. - Claudio Lucchese; Franco Maria Nardini; Raffaele Perego 001; Nicola Tonellotto; Salvatore Orlando 001; Rossano Venturini (ERCIM News, 2016)

Quality versus efficiency in document scoring with learning-to-rank models. - Gabriele Capannini; Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Nicola Tonellotto (Inf. Process. Manag., 2016)

Fast Ranking with Additive Ensembles of Oblivious and Non-Oblivious Regression Trees. - Domenico Dato; Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Nicola Tonellotto; Rossano Venturini (ACM Trans. Inf. Syst., 2016)

Efficiency/Effectiveness Trade-offs in Learning to Rank. - Claudio Lucchese; Franco Maria Nardini (ICTIR, 2017)

The Impact of Negative Samples on Learning to Rank. - Claudio Lucchese; Franco Maria Nardini; Raffaele Perego 001; Salvatore Trani (LEARNER@ICTIR, 2017)

Multicore/Manycore Parallel Traversal of Large Forests of Regression Trees. - Francesco Lettich; Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Nicola Tonellotto; Rossano Venturini (HPCS, 2017)

QuickScorer: Efficient Traversal of Large Ensembles of Decision Trees. - Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Nicola Tonellotto; Rossano Venturini (ECML/PKDD (3), 2017)

RankEval: An Evaluation and Analysis Framework for Learning-to-Rank Solutions. - Claudio Lucchese; Cristina Ioana Muntean; Franco Maria Nardini; Raffaele Perego 001; Salvatore Trani (SIGIR, 2017)

X-DART: Blending Dropout and Pruning for Efficient Learning to Rank. - Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Salvatore Trani (SIGIR, 2017)

Perception of social phenomena through the multidimensional analysis of online social networks. - Mauro Coletto; Andrea Esuli; Claudio Lucchese; Cristina Ioana Muntean; Franco Maria Nardini; Raffaele Perego 001; Chiara Renso (Online Soc. Networks Media, 2017)

Analysing Trajectories of Mobile Users: From Data Warehouses to Recommender Systems. - Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Alessandra Raffaetà; Chiara Renso; Claudio Silvestri (A Comprehensive Guide Through the Italian Database Research, 2018)

Efficient and Effective Query Expansion for Web Search. - Claudio Lucchese; Franco Maria Nardini; Raffaele Perego 001; Roberto Trani; Rossano Venturini (CIKM, 2018)

Selective Gradient Boosting for Effective Learning to Rank. - Claudio Lucchese; Franco Maria Nardini; Raffaele Perego 001; Salvatore Orlando 001; Salvatore Trani (SIGIR, 2018)

Item-driven group formation. - Daniel Valcarce; Igo Ramalho Brilhante; José A. F. de Macêdo; Franco Maria Nardini; Raffaele Perego 001; Chiara Renso (Online Soc. Networks Media, 2018)

X-CLEaVER: Learning Ranking Ensembles by Growing and Pruning Trees. - Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Fabrizio Silvestri; Salvatore Trani (ACM Trans. Intell. Syst. Technol., 2018)

Crowdsourced Social Data for Recommending Tourist Itineraries. - Igo Ramalho Brilhante; Franco Maria Nardini; José Antônio Fernandes de Macêdo; Raffaele Perego 001; Chiara Renso (Encyclopedia of Social Network Analysis and Mining. 2nd Ed., 2018)

An Empirical Comparison of Classification Algorithms for Imbalanced Credit Scoring Datasets. - Leopoldo Soares de Melo Junior; Franco Maria Nardini; Chiara Renso; José Antônio Fernandes de Macêdo (ICMLA, 2019)

KNORA-IU: Improving the Dynamic Selection Prediction in Imbalanced Credit Scoring Problems. - Leopoldo Melo Junior; Franco Maria Nardini; Chiara Renso; José A. F. de Macêdo (ICTAI, 2019)

On combining dynamic selection, sampling, and pool generators for credit scoring. - Leopoldo Melo Junior; Franco Maria Nardini; Chiara Renso; José Antônio Fernandes de Macêdo (MLDM (2), 2019)

Enhanced News Retrieval: Passages Lead the Way! - Matteo Catena; Ophir Frieder; Cristina Ioana Muntean; Franco Maria Nardini; Raffaele Perego 001; Nicola Tonellotto (SIGIR, 2019)

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 001; Michael Bendersky; Xuanhui Wang; Harrie Oosterhuis; Rolf Jagerman; Maarten de Rijke (SIGIR, 2019)

Fast Approximate Filtering of Search Results Sorted by Attribute. - Franco Maria Nardini; Roberto Trani; Rossano Venturini (SIGIR, 2019)

An Optimal Algorithm to Find Champions of Tournament Graphs. - Lorenzo Beretta 001; Franco Maria Nardini; Roberto Trani; Rossano Venturini (SPIRE, 2019)

Parallel Traversal of Large Ensembles of Decision Trees. - Francesco Lettich; Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Nicola Tonellotto; Rossano Venturini (IEEE Trans. Parallel Distributed Syst., 2019)

High-Quality Prediction of Tourist Movements using Temporal Trajectories in Graphs. - Shima Moghtasedi; Cristina Ioana Muntean; Franco Maria Nardini; Roberto Grossi; Andrea Marino 001 (ASONAM, 2020)

Predicting and Explaining Privacy Risk Exposure in Mobility Data. - Francesca Naretto; Roberto Pellungrini; Anna Monreale; Franco Maria Nardini; Mirco Musolesi (DS, 2020)

Dynamic Wi-Fi RSSI normalization in unmapped locations. - Hanna Kavalionak; Massimo Tosato; Paolo Barsocchi; Franco Maria Nardini (EDBT/ICDT Workshops, 2020)

Prediction and Explanation of Privacy Risk on Mobility Data with Neural Networks. - Francesca Naretto; Roberto Pellungrini; Franco Maria Nardini; Fosca Giannotti (PKDD/ECML Workshops, 2020)

Query-level Early Exit for Additive Learning-to-Rank Ensembles. - Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Salvatore Trani (SIGIR, 2020)

Efficient Document Re-Ranking for Transformers by Precomputing Term Representations. - Sean MacAvaney; Franco Maria Nardini; Raffaele Perego 001; Nicola Tonellotto; Nazli Goharian; Ophir Frieder (SIGIR, 2020)

Training Curricula for Open Domain Answer Re-Ranking. - Sean MacAvaney; Franco Maria Nardini; Raffaele Perego 001; Nicola Tonellotto; Nazli Goharian; Ophir Frieder (SIGIR, 2020)

Expansion via Prediction of Importance with Contextualization. - Sean MacAvaney; Franco Maria Nardini; Raffaele Perego 001; Nicola Tonellotto; Nazli Goharian; Ophir Frieder (SIGIR, 2020)

Topic Propagation in Conversational Search. - Ida Mele; Cristina Ioana Muntean; Franco Maria Nardini; Raffaele Perego 001; Nicola Tonellotto; Ophir Frieder (SIGIR, 2020)

Topical Enrichment of Conversational Search Utterances: Participation of the HPCLab-CNR Team in CAsT 2020. - Ida Mele; Cristina Ioana Muntean; Franco Maria Nardini; Raffaele Perego 001; Nicola Tonellotto (TREC, 2020)

A novel approach to define the local region of dynamic selection techniques in imbalanced credit scoring problems. - Leopoldo Melo Junior; Franco Maria Nardini; Chiara Renso; Roberto Trani; José Antônio Fernandes de Macêdo (Expert Syst. Appl., 2020)

Leveraging feature selection to detect potential tax fraudsters. - Tales Matos; José A. F. de Macêdo; Francesco Lettich; José Maria Monteiro; Chiara Renso; Raffaele Perego 001; Franco Maria Nardini (Expert Syst. Appl., 2020)

RankEval: Evaluation and investigation of ranking models. - Claudio Lucchese; Cristina Ioana Muntean; Franco Maria Nardini; Raffaele Perego 001; Salvatore Trani (SoftwareX, 2020)

RMkNN and KNORA-IU: Combining Imbalanced Dynamic Selection Techniques for Credit Scoring. - Leopoldo Melo Junior; José Antônio Fernandes de Macêdo; Franco Maria Nardini; Chiara Renso (ICTAI, 2021)

Learning Early Exit Strategies for Additive Ranking Ensembles. - Francesco Busolin; Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Salvatore Trani (SIGIR, 2021)

TSXor: A Simple Time Series Compression Algorithm. - Andrea Bruno; Franco Maria Nardini; Giulio Ermanno Pibiri; Roberto Trani; Rossano Venturini (SPIRE, 2021)

Finding Context through Utterance Dependencies in Search Conversations - Participation of the CNR Team in CAsT 2021. - Ida Mele; Cristina Ioana Muntean; Franco Maria Nardini; Raffaele Perego 001; Nicola Tonellotto (TREC, 2021)

Adaptive utterance rewriting for conversational search. - Ida Mele; Cristina Ioana Muntean; Franco Maria Nardini; Raffaele Perego 001; Nicola Tonellotto; Ophir Frieder (Inf. Process. Manag., 2021)

Speed prediction in large and dynamic traffic sensor networks. - Regis Pires Magalhães; Francesco Lettich; José Antônio Fernandes de Macêdo; Franco Maria Nardini; Raffaele Perego 001; Chiara Renso; Roberto Trani (Inf. Syst., 2021)

Neural network quantization in federated learning at the edge. - Nicola Tonellotto; Alberto Gotta; Franco Maria Nardini; Daniele Gadler; Fabrizio Silvestri (Inf. Sci., 2021)

Efficient traversal of decision tree ensembles with FPGAs. - Romina Molina; Fernando Loor; Veronica Gil-Costa; Franco Maria Nardini; Raffaele Perego 001; Salvatore Trani (J. Parallel Distributed Comput., 2021)

Weighting Passages Enhances Accuracy. - Cristina Ioana Muntean; Franco Maria Nardini; Raffaele Perego 001; Nicola Tonellotto; Ophir Frieder (ACM Trans. Inf. Syst., 2021)

Ensemble Model Compression for Fast and Energy-Efficient Ranking on FPGAs. - Veronica Gil-Costa; Fernando Loor; Romina Molina; Franco Maria Nardini; Raffaele Perego 001; Salvatore Trani (ECIR (1), 2022)

A Comprehensive Dataset for Modern Learning to Rank Solutions (Abstract). - Domenico Dato; Sean MacAvaney; Franco Maria Nardini; Raffaele Perego 001; Nicola Tonellotto (IIR, 2022)

Energy-Efficient Ranking on FPGAs through Ensemble Model Compression (Abstract). - Veronica Gil-Costa; Fernando Loor; Romina Molina; Franco Maria Nardini; Raffaele Perego 001; Salvatore Trani (IIR, 2022)

Interpretable Ranking Using LambdaMART (Abstract). - Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Alberto Veneri (IIR, 2022)

A Pragmatic Approach to Neural Information Retrieval. - Franco Maria Nardini; Salvatore Trani (SEBD, 2022)

ReNeuIR: Reaching Efficiency in Neural Information Retrieval. - Sebastian Bruch 001; Claudio Lucchese; Franco Maria Nardini (SIGIR, 2022)

The Istella22 Dataset: Bridging Traditional and Neural Learning to Rank Evaluation. - Domenico Dato; Sean MacAvaney; Franco Maria Nardini; Raffaele Perego 001; Nicola Tonellotto (SIGIR, 2022)

ILMART: Interpretable Ranking with Constrained LambdaMART. - Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Alberto Veneri (SIGIR, 2022)

Context Propagation in Conversational Search Utterances Participation of the CNR Team in CAsT 2022. - Ida Mele; Cristina Ioana Muntean; Franco Maria Nardini; Raffaele Perego 001; Nicola Tonellotto (TREC, 2022)

Dynamic hard pruning of Neural Networks at the edge of the internet. - Lorenzo Valerio; Franco Maria Nardini; Andrea Passarella; Raffaele Perego 001 (J. Netw. Comput. Appl., 2022)

Fast Filtering of Search Results Sorted by Attribute. - Franco Maria Nardini; Roberto Trani; Rossano Venturini (ACM Trans. Inf. Syst., 2022)

Report on the 1st Workshop on Reaching Efficiency in Neural Information Retrieval (ReNeuIR 2022) at SIGIR 2022. - Sebastian Bruch 001; Claudio Lucchese; Franco Maria Nardini (SIGIR Forum, 2022)

Can Embeddings Analysis Explain Large Language Model Ranking? - Claudio Lucchese; Giorgia Minello; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Alberto Veneri (CIKM, 2023)

Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation. - Vincenzo Paparella; Vito Walter Anelli; Franco Maria Nardini; Raffaele Perego 001; Tommaso Di Noia (CIKM, 2023)

ReNeuIR at SIGIR 2023: The Second Workshop on Reaching Efficiency in Neural Information Retrieval. - Sebastian Bruch 001; Joel Mackenzie; Maria Maistro; Franco Maria Nardini (SIGIR, 2023)

Rewriting Conversational Utterances with Instructed Large Language Models. - Elnara Galimzhanova; Cristina Ioana Muntean; Franco Maria Nardini; Raffaele Perego 001; Guido Rocchietti (WI/IAT, 2023)

Commonsense Injection in Conversational Systems: An Adaptable Framework for Query Expansion. - Guido Rocchietti; Ophir Frieder; Cristina Ioana Muntean; Franco Maria Nardini; Raffaele Perego 001 (WI/IAT, 2023)

Early Exit Strategies for Learning-to-Rank Cascades. - Francesco Busolin; Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Salvatore Trani (IEEE Access, 2023)

Efficient and Effective Tree-based and Neural Learning to Rank. - Sebastian Bruch 001; Claudio Lucchese; Franco Maria Nardini (Found. Trends Inf. Retr., 2023)

Distilled Neural Networks for Efficient Learning to Rank. - Franco Maria Nardini; Cosimo Rulli; Salvatore Trani; Rossano Venturini (IEEE Trans. Knowl. Data Eng., 2023)

An Optimal Algorithm for Finding Champions in Tournament Graphs. - Lorenzo Beretta 001; Franco Maria Nardini; Roberto Trani; Rossano Venturini (IEEE Trans. Knowl. Data Eng., 2023)

Report on the 13th Italian Information Retrieval Workshop (IIR 2023). - Guglielmo Faggioli; Antonio Ferrara 001; Franco Maria Nardini; Nicola Tonellotto (SIGIR Forum, 2023)

Pairing Clustered Inverted Indexes with κ-NN Graphs for Fast Approximate Retrieval over Learned Sparse Representations. - Sebastian Bruch 001; Franco Maria Nardini; Cosimo Rulli; Rossano Venturini (CIKM, 2024)

Early Exit Strategies for Approximate k-NN Search in Dense Retrieval. - Francesco Busolin; Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Salvatore Trani (CIKM, 2024)

Efficient Multi-vector Dense Retrieval with Bit Vectors. - Franco Maria Nardini; Cosimo Rulli; Rossano Venturini (ECIR (2), 2024)

Distilled Neural Networks for Efficient Learning to Rank: (Extended Abstract). - Franco Maria Nardini; Cosimo Rulli; Salvatore Trani; Rossano Venturini (ICDE, 2024)

Seismic: Efficient and Effective Retrieval over Learned Sparse Representation. - Sebastian Bruch 001; Franco Maria Nardini; Cosimo Rulli; Rossano Venturini (IIR, 2024)

LongDoc Summarization using Instruction-tuned Large Language Models for Food Safety Regulations. - Guido Rocchietti; Cosimo Rulli; Korbinian Randl; Cristina Ioana Muntean; Franco Maria Nardini; Raffaele Perego 001; Salvatore Trani; Manos Karvounis; Jakub Janostik (IIR, 2024)

Improving RAG Systems via Sentence Clustering and Reordering. - Marco Alessio; Guglielmo Faggioli; Nicola Ferro 001; Franco Maria Nardini; Raffaele Perego 001 (IR-RAG@SIGIR, 2024)

Efficient and Effective Multi-Vector Dense Retrieval with EMVB. - Franco Maria Nardini; Cosimo Rulli; Rossano Venturini (SEBD, 2024)

Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations. - Sebastian Bruch 001; Franco Maria Nardini; Cosimo Rulli; Rossano Venturini (SIGIR, 2024)

ReNeuIR at SIGIR 2024: The Third Workshop on Reaching Efficiency in Neural Information Retrieval. - Maik Fröbe; Joel Mackenzie; Bhaskar Mitra 001; Franco Maria Nardini; Martin Potthast (SIGIR, 2024)

A Learning-to-Rank Formulation of Clustering-Based Approximate Nearest Neighbor Search. - Thomas Vecchiato; Claudio Lucchese; Franco Maria Nardini; Sebastian Bruch 001 (SIGIR, 2024)

Efficient Multi-Vector Dense Retrieval Using Bit Vectors. - Franco Maria Nardini; Cosimo Rulli; Rossano Venturini (CoRR, 2024)

Optimistic Query Routing in Clustering-based Approximate Maximum Inner Product Search. - Sebastian Bruch 001; Aditya Krishnan 001; Franco Maria Nardini (CoRR, 2024)

Pairing Clustered Inverted Indexes with kNN Graphs for Fast Approximate Retrieval over Learned Sparse Representations. - Sebastian Bruch 001; Franco Maria Nardini; Cosimo Rulli; Rossano Venturini (CoRR, 2024)

Early Exit Strategies for Approximate k-NN Search in Dense Retrieval. - Francesco Busolin; Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Salvatore Trani (CoRR, 2024)

Power- and Fragmentation-aware Online Scheduling for GPU Datacenters. - Francesco Lettich; Emanuele Carlini; Franco Maria Nardini; Raffaele Perego 001; Salvatore Trani (CoRR, 2024)

Efficient Inverted Index-based Approximate Retrieval over High-dimensional Learned Sparse Representations. - Sebastian Bruch 001; Franco Maria Nardini; Cosimo Rulli; Rossano Venturini (IEEE Data Eng. Bull., 2024)

Enhancing Conversational Search with Large Language Models. - Guido Rocchietti; Cristina Ioana Muntean; Franco Maria Nardini (ERCIM News, 2024)

An Approximate Algorithm for Maximum Inner Product Search over Streaming Sparse Vectors. - Sebastian Bruch 001; Franco Maria Nardini; Amir Ingber; Edo Liberty (ACM Trans. Inf. Syst., 2024)

Special Section on Efficiency in Neural Information Retrieval. - Sebastian Bruch 001; Claudio Lucchese; Maria Maistro; Franco Maria Nardini (ACM Trans. Inf. Syst., 2024)

Bridging Dense and Sparse Maximum Inner Product Search. - Sebastian Bruch 001; Franco Maria Nardini; Amir Ingber; Edo Liberty (ACM Trans. Inf. Syst., 2024)

Caching Historical Embeddings in Conversational Search. - Ophir Frieder; Ida Mele; Cristina Ioana Muntean; Franco Maria Nardini; Raffaele Perego 001; Nicola Tonellotto (ACM Trans. Web, 2024)

Learning bivariate scoring functions for ranking. - Franco Maria Nardini; Roberto Trani; Rossano Venturini (Discov. Comput., 2024)

Investigating the Scalability of Approximate Sparse Retrieval Algorithms to Massive Datasets. - Sebastian Bruch 001; Franco Maria Nardini; Cosimo Rulli; Rossano Venturini; Leonardo Venuta (ECIR (3), 2025)

kANNolo: Sweet and Smooth Approximate k-Nearest Neighbors Search. - Leonardo Delfino; Domenico Erriquez; Silvio Martinico; Franco Maria Nardini; Cosimo Rulli; Rossano Venturini (ECIR (4), 2025)

ReNeuIR at SIGIR 2025: The Fourth Workshop on Reaching Efficiency in Neural Information Retrieval. - Sebastian Bruch 001; Maik Fröbe; Tim Hagen; Franco Maria Nardini; Martin Potthast (SIGIR, 2025)

CoSRec: A Joint Conversational Search and Recommendation Dataset. - Marco Alessio; Simone Merlo; Tommaso Di Noia; Guglielmo Faggioli; Marco Ferrante; Nicola Ferro 001; Cristina Ioana Muntean; Franco Maria Nardini; Fedelucio Narducci; Raffaele Perego 001; Giuseppe Santucci; Nicola Viterbo (SIGIR, 2025)

Efficient Re-ranking with Cross-encoders via Early Exit. - Francesco Busolin; Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Salvatore Trani; Alberto Veneri (SIGIR, 2025)

Efficient Approximate Nearest Neighbor Search on a Raspberry Pi. - Silvio Martinico; Franco Maria Nardini; Cosimo Rulli; Rossano Venturini (SIGIR, 2025)

Efficient Conversational Search via Topical Locality in Dense Retrieval. - Cristina Ioana Muntean; Franco Maria Nardini; Raffaele Perego 001; Guido Rocchietti; Cosimo Rulli (SIGIR, 2025)

Effective Inference-Free Retrieval for Learned Sparse Representations. - Franco Maria Nardini; Thong Nguyen 004; Cosimo Rulli; Rossano Venturini; Andrew Yates (SIGIR, 2025)

ChatGPT Versus Modest Large Language Models: An Extensive Study on Benefits and Drawbacks for Conversational Search. - Guido Rocchietti; Cosimo Rulli; Franco Maria Nardini; Cristina Ioana Muntean; Raffaele Perego 001; Ophir Frieder (IEEE Access, 2025)

Neural network compression using binarization and few full-precision weights. - Franco Maria Nardini; Cosimo Rulli; Salvatore Trani; Rossano Venturini (Inf. Sci., 2025)

Early-Exit Graph Neural Networks. - Andrea Giuseppe Di Francesco; Maria Sofia Bucarelli; Franco Maria Nardini; Raffaele Perego 001; Nicola Tonellotto; Fabrizio Silvestri (CoRR, 2025)

Explainable, Effective, and Efficient Learning-to-Rank Models Using ILMART. - Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Alberto Veneri (ACM Trans. Inf. Syst., 2025)