Nicola Tonellotto
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
99
Venues
25
Active years
2003–2026
Best venue rank
A*
Where they publish
- A*SIGIR36 papers
- AECIR13 papers
- ACIKM9 papers
- UnrankedICTIR7 papers
- AWSDM5 papers
- A*PERCOM4 papers
- BEuroPar3 papers
- CPDP3 papers
- BIJCNN2 papers
- ARecSys2 papers
- A*ACL1 paper
- AEACL1 paper
- A*INFOCOM1 paper
- CCBMI1 paper
- BICWE1 paper
- BSmartComp1 paper
- BDocEng1 paper
- BVTC1 paper
- ASC1 paper
- UnrankedUCC1 paper
- BGLOBECOM1 paper
- A*WWW1 paper
- AICST1 paper
- CSPIRE1 paper
- NationalPPAM1 paper
Papers
99 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | The Mechanics of Interference: Defusing Distractors in RAG via Sparse Autoencoder Interventions. | Christian Giannetti, Giovanni Trappolini, Nicola Tonellotto, Fabrizio Silvestri, Pietro Lio |
| 2026 | EACL | Statistical Foundations of DIME: Risk Estimation for Practical Index Selection. | Giulio D'Erasmo, Cesare Campagnano, Antonio Mallia, Pierpaolo Brutti, Nicola Tonellotto, Fabrizio Silvestri |
| 2026 | ECIR | When Reducing Representations Improves Performance. | Andrea Pasin, Guglielmo Faggioli, Nicola Ferro, Raffaele Perego, Nicola Tonellotto |
| 2026 | INFOCOM | Packet-Level Guardianship in 6G via Future-Informed Distillation of Predictive Models. | Giuseppe Soriano, Nicola Tonellotto, Alberto Gotta |
| 2026 | PERCOM | Using Foundation Models to Forecast the Workload of Edge Network Functions for Green Computing. | Carlo Puliafito, Antonio Virdis, Carlo Vallati, Nicola Tonellotto, Marco Galante, Giuseppe Anastasi, Enzo Mingozzi, Marcello Cucurachi, Leonardo Martorana |
| 2026 | SIGIR | Load-sensitive Selective Pruning in Dense Retrieval. | Maria Diana Calugaru, Federico Siciliano, Francesca Pezzuti, Nicola Tonellotto, Fabrizio Silvestri |
| 2026 | SIGIR | Retrieve, Rerank, Answer, Experiment: Hands-On IR Research with PyTerrier. | Craig Macdonald, Sean MacAvaney, Nicola Tonellotto, Xiao Wang |
| 2026 | SIGIR | A Replicability Study of Joint Product Quantisation for Effective Space-Efficient Dense Retrieval. | Craig Macdonald, Zhlli Shen, Nicola Tonellotto |
| 2026 | SIGIR | CATS: Cluster-Aware Thompson Sampling for Negative Mining in Sequential Recommendation. | Giulia Di Teodoro, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri |
| 2025 | CBMI | Breaking the 2D Dependency: What Limits 3D-Only Open-Vocabulary Scene Understanding. | Domenico D'Orsi, Fabio Carrara, Fabrizio Falchi, Nicola Tonellotto |
| 2025 | ECIR | Query Performance Prediction Using Dimension Importance Estimators. | Guglielmo Faggioli, Nicola Ferro, Raffaele Perego, Nicola Tonellotto |
| 2025 | ECIR | Enhancing Reproducibility and Replicability in Information Retrieval: A Path Towards Scientific Integrity and Effective Research. | Antonio Ferrara, Claudio Pomo, Nicola Tonellotto |
| 2025 | ECIR | Efficient Constant-Space Multi-vector Retrieval. | Sean MacAvaney, Antonio Mallia, Nicola Tonellotto |
| 2025 | ECIR | Maybe You Are Looking for CroQS 🐊 Cross-Modal Query Suggestion for Text-to-Image Retrieval. | Giacomo Pacini, Fabio Carrara, Nicola Messina, Nicola Tonellotto, Giuseppe Amato, Fabrizio Falchi |
| 2025 | ECIR | Exploring the Effectiveness of Multi-stage Fine-Tuning for Cross-Encoder Re-rankers. | Francesca Pezzuti, Sean MacAvaney, Nicola Tonellotto |
| 2025 | ECIR | MURR: Model Updating with Regularized Replay for Searching a Document Stream. | Eugene Yang, Nicola Tonellotto, Dawn J. Lawrie, Sean MacAvaney, James Mayfield, Douglas W. Oard, Scott Miller |
| 2025 | IJCNN | Are Convolutional Sequential Recommender Systems Still Competitive? Introducing New Models and Insights. | Federico Siciliano, Antonio Purificato, Filippo Betello, Nicola Tonellotto, Fabrizio Silvestri |
| 2025 | IJCNN | A Theoretical Analysis of Recommendation Loss Functions under Negative Sampling. | Giulia Di Teodoro, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri |
| 2025 | ICTIR | Eclipse: Contrastive Dimension Importance Estimation with Pseudo-Irrelevance Feedback for Dense Retrieval. | Giulio D'Erasmo, Giovanni Trappolini, Fabrizio Silvestri, Nicola Tonellotto |
| 2025 | ICTIR | Neural Prioritisation for Web Crawling. | Francesca Pezzuti, Sean MacAvaney, Nicola Tonellotto |
| 2025 | ICWE | Enhancing Reproducibility and Replicability in Information Retrieval: A Path Towards Scientific Integrity and Effective Research. | Antonio Ferrara, Claudio Pomo, Nicola Tonellotto |
| 2025 | SIGIR | CoDIME: A Counterfactual Approach for Dimension Importance Estimation through Click Logs. | Guglielmo Faggioli, Nicola Ferro, Raffaele Perego, Nicola Tonellotto |
| 2025 | SIGIR | Efficient Recommendation with Millions of Items by Dynamic Pruning of Sub-Item Embeddings. | Aleksandr V. Petrov, Craig Macdonald, Nicola Tonellotto |
| 2025 | SmartComp | Energy-Efficient Function Invocation Scheduling for Edge FaaS Platforms. | Francesca Righetti, Biagio Cornacchia, Gabriele Russo Russo, Nicola Tonellotto, Valeria Cardellini, Carlo Vallati |
| 2024 | ECIR | indxr: A Python Library for Indexing File Lines. | Elias Bassani, Nicola Tonellotto |
| 2024 | ECIR | DESIRE-ME: Domain-Enhanced Supervised Information Retrieval Using Mixture-of-Experts. | Pranav Kasela, Gabriella Pasi, Raffaele Perego, Nicola Tonellotto |
| 2024 | ECIR | Two-Step SPLADE: Simple, Efficient and Effective Approximation of SPLADE. | Carlos Lassance, Herv Djean, Stphane Clinchant, Nicola Tonellotto |
| 2024 | ICTIR | Learning to Rank for Non Independent and Identically Distributed Datasets. | Jacopo Cecchetti, Nicola Tonellotto, Raffaele Perego |
| 2024 | PERCOM | Energy-efficient Orchestration Strategies for Function-as-a-Service Platforms. | Francesca Righetti, Nicola Tonellotto, Nicola Barsanti, Carlo Vallati |
| 2024 | RecSys | Efficient Inference of Sub-Item Id-based Sequential Recommendation Models with Millions of Items. | Aleksandr Vladimirovich Petrov, Craig Macdonald, Nicola Tonellotto |
| 2024 | SIGIR | The Power of Noise: Redefining Retrieval for RAG Systems. | Florin Cuconasu, Giovanni Trappolini, Federico Siciliano, Simone Filice, Cesare Campagnano, Yoelle Maarek, Nicola Tonellotto, Fabrizio Silvestri |
| 2024 | SIGIR | Dimension Importance Estimation for Dense Information Retrieval. | Guglielmo Faggioli, Nicola Ferro, Raffaele Perego, Nicola Tonellotto |
| 2024 | SIGIR | A Reproducibility Study of PLAID. | Sean MacAvaney, Nicola Tonellotto |
| 2024 | SIGIR | Faster Learned Sparse Retrieval with Block-Max Pruning. | Antonio Mallia, Torsten Suel, Nicola Tonellotto |
| 2023 | DocEng | Static Pruning for Multi-Representation Dense Retrieval. | Antonio Acquavia, Craig Macdonald, Nicola Tonellotto |
| 2023 | RecSys | Integrating Item Relevance in Training Loss for Sequential Recommender Systems. | Andrea Bacciu, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri |
| 2023 | VTC | A Federated Channel Modeling System using Generative Neural Networks. | Saira Bano, Pietro Cassar, Nicola Tonellotto, Alberto Gotta |
| 2023 | SIGIR | A Geometric Framework for Query Performance Prediction in Conversational Search. | Guglielmo Faggioli, Nicola Ferro, Cristina Ioana Muntean, Raffaele Perego, Nicola Tonellotto |
| 2023 | SIGIR | A Static Pruning Study on Sparse Neural Retrievers. | Carlos Lassance, Simon Lupart, Herv Djean, Stphane Clinchant, Nicola Tonellotto |
| 2023 | SIGIR | Reproducibility, Replicability, and Insights into Dense Multi-Representation Retrieval Models: from ColBERT to Col. | Xiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis |
| 2023 | SC | A Systematic Mapping Study of Italian Research on Workflows. | Marco Aldinucci, Elena Maria Baralis, Valeria Cardellini, Iacopo Colonnelli, Marco Danelutto, Sergio Decherchi, Giuseppe Di Modica, Luca Ferrucci, Marco Gribaudo, Francesco Iannone, Marco Lapegna, Doriana Medic, Giuseppa Muscianisi, Francesca Righetti, Eva Sciacca, Nicola Tonellotto, Mauro Tortonesi, Paolo Trunfio, Tullio Vardanega |
| 2023 | UCC | Energy-Efficient Resource Management for Real-Time Applications in FaaS Edge Computing Platforms. | Shahrokh Vahabi, Francesca Righetti, Carlo Vallati, Nicola Tonellotto |
| 2022 | CIKM | Adaptive Re-Ranking with a Corpus Graph. | Sean MacAvaney, Nicola Tonellotto, Craig Macdonald |
| 2022 | CIKM | Adaptive Re-Ranking as an Information-Seeking Agent. | Sean MacAvaney, Nicola Tonellotto, Craig Macdonald |
| 2022 | ECIR | A Dependency-Aware Utterances Permutation Strategy to Improve Conversational Evaluation. | Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Raffaele Perego, Nicola Tonellotto |
| 2022 | PERCOM | KafkaFed: Two-Tier Federated Learning Communication Architecture for Internet of Vehicles. | Saira Bano, Nicola Tonellotto, Pietro Cassar, Alberto Gotta |
| 2022 | PERCOM | Drivers Stress Identification in Real-World Driving Tasks. | Saira Bano, Nicola Tonellotto, Alberto Gotta |
| 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 | Faster Learned Sparse Retrieval with Guided Traversal. | Antonio Mallia, Joel Mackenzie, Torsten Suel, Nicola Tonellotto |
| 2022 | SIGIR | On the Role of Relevance in Natural Language Processing Tasks. | Artsiom Sauchuk, James Thorne, Alon Y. Halevy, Nicola Tonellotto, Fabrizio Silvestri |
| 2021 | CIKM | On Approximate Nearest Neighbour Selection for Multi-Stage Dense Retrieval. | Craig Macdonald, Nicola Tonellotto |
| 2021 | CIKM | IR From Bag-of-words to BERT and Beyond through Practical Experiments. | Craig Macdonald, Nicola Tonellotto, Sean MacAvaney |
| 2021 | CIKM | PyTerrier: Declarative Experimentation in Python from BM25 to Dense Retrieval. | Craig Macdonald, Nicola Tonellotto, Sean MacAvaney, Iadh Ounis |
| 2021 | CIKM | Query Embedding Pruning for Dense Retrieval. | Nicola Tonellotto, Craig Macdonald |
| 2021 | ICTIR | Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval. | Xiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis |
| 2021 | SIGIR | Hierarchical Dependence-aware Evaluation Measures for Conversational Search. | Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Raffaele Perego, Nicola Tonellotto |
| 2021 | SIGIR | Learning Passage Impacts for Inverted Indexes. | Antonio Mallia, Omar Khattab, Torsten Suel, Nicola Tonellotto |
| 2020 | ICTIR | Declarative Experimentation in Information Retrieval using PyTerrier. | Craig Macdonald, Nicola Tonellotto |
| 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 | SIGIR | Enhanced News Retrieval: Passages Lead the Way! | Matteo Catena, Ophir Frieder, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto |
| 2019 | SIGIR | Multiple Query Processing via Logic Function Factoring. | Matteo Catena, Nicola Tonellotto |
| 2018 | CIKM | Efficient Energy Management in Distributed Web Search. | Matteo Catena, Ophir Frieder, Nicola Tonellotto |
| 2018 | GLOBECOM | Performance Analysis of WebRTC-Based Video Streaming Over Power Constrained Platforms. | Manlio Bacco, Matteo Catena, Tomaso de Cola, Alberto Gotta, Nicola Tonellotto |
| 2018 | SIGIR | Efficient Query Processing Infrastructures: A half-day tutorial at SIGIR 2018. | Nicola Tonellotto, Craig Macdonald |
| 2017 | ICTIR | Upper Bound Approximation for BlockMaxWand. | Craig Macdonald, Nicola Tonellotto |
| 2017 | SIGIR | Efficient & Effective Selective Query Rewriting with Efficiency Predictions. | Craig MacDonald, Nicola Tonellotto, Iadh Ounis |
| 2017 | SIGIR | Faster BlockMax WAND with Variable-sized Blocks. | Antonio Mallia, Giuseppe Ottaviano, Elia Porciani, Nicola Tonellotto, Rossano Venturini |
| 2016 | WWW | Exploiting Green Energy to Reduce the Operational Costs of Multi-Center Web Search Engines. | Roi Blanco, Matteo Catena, Nicola Tonellotto |
| 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 | CIKM | LSDS-IR'15: 2015 Workshop on Large-Scale and Distributed Systems for Information Retrieval. | Ismail Sengor Altingovde, Berkant Barla Cambazoglu, Nicola Tonellotto |
| 2015 | ICST | The MIDAS Cloud Platform for Testing SOA Applications. | Steffen Herbold, Alberto De Francesco, Jens Grabowski, Patrick Harms, Lom-Messan Hillah, Fabrice Kordon, Ariele-Paolo Maesano, Libero Maesano, Claudia Di Napoli, Fabio De Rosa, Martin A. Schneider, Nicola Tonellotto, Marc-Florian Wendland, Pierre-Henri Wuillemin |
| 2015 | SIGIR | Load-sensitive CPU Power Management for Web Search Engines. | Matteo Catena, Craig Macdonald, Nicola Tonellotto |
| 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 |
| 2015 | WSDM | Optimal Space-time Tradeoffs for Inverted Indexes. | Giuseppe Ottaviano, Nicola Tonellotto, Rossano Venturini |
| 2014 | WSDM | Workshop on large-scale and distributed systems for information retrieval (LSDS-IR 2014). | Ismail Sengr Altingvde, Berkant Barla Cambazoglu, Craig Macdonald, Nicola Tonellotto |
| 2014 | WSDM | A self-adapting latency/power tradeoff model for replicated search engines. | Ana Freire, Craig Macdonald, Nicola Tonellotto, Iadh Ounis, Fidel Cacheda |
| 2013 | CIKM | Load-sensitive selective pruning for distributed search. | Daniele Broccolo, Craig Macdonald, Salvatore Orlando, Iadh Ounis, Raffaele Perego, Fabrizio Silvestri, Nicola Tonellotto |
| 2013 | ECIR | Hybrid Query Scheduling for a Replicated Search Engine. | Ana Freire, Craig Macdonald, Nicola Tonellotto, Iadh Ounis, Fidel Cacheda |
| 2013 | WSDM | Workshop on large-scale and distributed systems for information retrieval (LSDS-IR 2013). | Nicola Tonellotto, Craig Macdonald, Ismail Sengr Altingvde |
| 2013 | WSDM | Efficient and effective retrieval using selective pruning. | Nicola Tonellotto, Craig Macdonald, Iadh Ounis |
| 2013 | SPIRE | Query Processing in Highly-Loaded Search Engines. | Daniele Broccolo, Craig Macdonald, Salvatore Orlando, Iadh Ounis, Raffaele Perego, Fabrizio Silvestri, Nicola Tonellotto |
| 2012 | SIGIR | Scheduling queries across replicas. | Ana Freire, Craig Macdonald, Nicola Tonellotto, Iadh Ounis, Fidel Cacheda |
| 2012 | SIGIR | Learning to predict response times for online query scheduling. | Craig Macdonald, Nicola Tonellotto, Iadh Ounis |
| 2012 | SIGIR | Effect of dynamic pruning safety on learning to rank effectiveness. | Craig Macdonald, Nicola Tonellotto, Iadh Ounis |
| 2011 | ECIR | Representing Document Lengths with Identifiers. | Raffaele Perego, Fabrizio Silvestri, Nicola Tonellotto |
| 2011 | ICTIR | On Upper Bounds for Dynamic Pruning. | Craig Macdonald, Nicola Tonellotto, Iadh Ounis |
| 2011 | SIGIR | Effect of different docid orderings on dynamic pruning retrieval strategies. | Nicola Tonellotto, Craig Macdonald, Iadh Ounis |
| 2010 | EuroPar | Adaptive Instantiation of Service Workflows Using a Chemical Approach. | Claudia Di Napoli, Maurizio Giordano, Zsolt Nmeth, Nicola Tonellotto |
| 2010 | SIGIR | Efficient Dynamic Pruning with Proximity Support. | Nicola Tonellotto, Craig Macdonald, Iadh Ounis |
| 2008 | PDP | Behavioural Skeletons in GCM: Autonomic Management of Grid Components. | Marco Aldinucci, Sonia Campa, Marco Danelutto, Marco Vanneschi, Peter Kilpatrick, Patrizio Dazzi, Domenico Laforenza, Nicola Tonellotto |
| 2008 | PDP | QoS-constrained List Scheduling Heuristics for Parallel Applications on Grids. | Nicola Tonellotto, Ranieri Baraglia, Renato Ferrini, Laura Ricci, Ramin Yahyapour |
| 2007 | PDP | A Performance Model for Stream-based Computations. | Marco Danelutto, Marco Vanneschi, Corrado Zoccolo, Domenico Laforenza, Nicola Tonellotto |
| 2006 | EuroPar | Execution Support of High Performance Heterogeneous Component-Based Applications on the Grid. | Massimo Coppola, Marco Danelutto, Nicola Tonellotto, Marco Vanneschi, Corrado Zoccolo |
| 2005 | EuroPar | A Grid Information Service Based on Peer-to-Peer. | Diego Puppin, Stefano Moncelli, Ranieri Baraglia, Nicola Tonellotto, Fabrizio Silvestri |
| 2003 | PPAM | A Tool to Execute ASSIST Applications on Globus-Based Grids. | Ranieri Baraglia, Domenico Laforenza, Nicola Tonellotto |