Nicola Tonellotto

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 112

Top Venues

Dortmund University of Technology (PHD)

Education History

Dortmund University of Technology

PHD

Publications

Pranav Kasela, Gabriella Pasi, Raffaele Perego, Nicola Tonellotto
DESIRE-ME: Domain-Enhanced Supervised Information Retrieval Using Mixture-of-Experts. ECIR (2) (2024)
Elias Bassani, Nicola Tonellotto
indxr: A Python Library for Indexing File Lines. ECIR (5) (2024)
Elias Bassani, Nicola Tonellotto, Gabriella Pasi
Personalized Query Expansion with Contextual Word Embeddings. ACM Trans. Inf. Syst. 42 (2) (2024)
Guglielmo Faggioli, Nicola Ferro, Raffaele Perego, Nicola Tonellotto
Dimension Importance Estimation for Dense Information Retrieval. SIGIR (2024)
Saira Bano, Nicola Tonellotto, Pietro Cassarà, Alberto Gotta
FedCMD: A Federated Cross-modal Knowledge Distillation for Drivers' Emotion Recognition. ACM Trans. Intell. Syst. Technol. 15 (3) (2024)
Sean MacAvaney, Nicola Tonellotto
A Reproducibility Study of PLAID. CoRR (2024)
Andrea Bacciu, Enrico Palumbo, Andreas Damianou, Nicola Tonellotto, Fabrizio Silvestri
Generating Query Recommendations via LLMs. CoRR (2024)
Antonio Mallia, Torsten Suel, Nicola Tonellotto
Faster Learned Sparse Retrieval with Block-Max Pruning. CoRR (2024)
Francesca Righetti, Nicola Tonellotto, Nicola Barsanti, Carlo Vallati
Energy-efficient Orchestration Strategies for Function-as-a-Service Platforms. PerCom Workshops (2024)
Andrea Giuseppe Di Francesco, Christian Giannetti, Nicola Tonellotto, Fabrizio Silvestri
Graph Neural Re-Ranking via Corpus Graph. CoRR (2024)
Antonio Mallia, Torsten Suel, Nicola Tonellotto
Faster Learned Sparse Retrieval with Block-Max Pruning. SIGIR (2024)
Sean MacAvaney, Nicola Tonellotto
A Reproducibility Study of PLAID. SIGIR (2024)
Pranav Kasela, Gabriella Pasi, Raffaele Perego, Nicola Tonellotto
DESIRE-ME: Domain-Enhanced Supervised Information REtrieval using Mixture-of-Experts. CoRR (2024)
Carlos Lassance, Hervé Déjean, Stéphane Clinchant, Nicola Tonellotto
Two-Step SPLADE: Simple, Efficient and Effective Approximation of SPLADE. ECIR (2) (2024)
Florin Cuconasu, Giovanni Trappolini, Federico Siciliano, Simone Filice, Cesare Campagnano, Yoelle Maarek, Nicola Tonellotto, Fabrizio Silvestri
The Power of Noise: Redefining Retrieval for RAG Systems. CoRR (2024)
Carlos Lassance, Hervé Déjean, Stéphane Clinchant, Nicola Tonellotto
Two-Step SPLADE: Simple, Efficient and Effective Approximation of SPLADE. CoRR (2024)
Jacopo Cecchetti, Nicola Tonellotto, Raffaele Perego
Learning to Rank for Non Independent and Identically Distributed Datasets. ICTIR (2024)
Florin Cuconasu, Giovanni Trappolini, Federico Siciliano, Simone Filice, Cesare Campagnano, Yoelle Maarek, Nicola Tonellotto, Fabrizio Silvestri
The Power of Noise: Redefining Retrieval for RAG Systems. SIGIR (2024)
Florin Cuconasu, Giovanni Trappolini, Nicola Tonellotto, Fabrizio Silvestri
A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG Systems. CoRR (2024)
Xiao Wang, Craig MacDonald, Nicola Tonellotto, Iadh Ounis
ColBERT-PRF: Semantic Pseudo-Relevance Feedback for Dense Passage and Document Retrieval. ACM Trans. Web 17 (1) (2023)
Carlos Lassance, Simon Lupart, Hervé Déjean, Stéphane Clinchant, Nicola Tonellotto
A Static Pruning Study on Sparse Neural Retrievers. SIGIR (2023)
Guglielmo Faggioli, Nicola Ferro, Cristina Ioana Muntean, Raffaele Perego, Nicola Tonellotto
A Geometric Framework for Query Performance Prediction in Conversational Search. SIGIR (2023)
Antonio Acquavia, Craig Macdonald, Nicola Tonellotto
Static Pruning for Multi-Representation Dense Retrieval. DocEng (2023)
Guglielmo Faggioli, Nicola Ferro, Cristina Ioana Muntean, Raffaele Perego, Nicola Tonellotto
A Spatial Approach to Predict Performance of Conversational Search Systems. IIR (2023)
Carlos Lassance, Simon Lupart, Hervé Déjean, Stéphane Clinchant, Nicola Tonellotto
A Static Pruning Study on Sparse Neural Retrievers. CoRR (2023)
Xiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis
Reproducibility, Replicability, and Insights into Dense Multi-Representation Retrieval Models: from ColBERT to Col. SIGIR (2023)
Shahrokh Vahabi, Francesca Righetti, Carlo Vallati, Nicola Tonellotto
Energy-Efficient Resource Management for Real-Time Applications in FaaS Edge Computing Platforms. UCC (2023)
Andrea Bacciu, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri
Integrating Item Relevance in Training Loss for Sequential Recommender Systems. RecSys (2023)
Guglielmo Faggioli, Antonio Ferrara, Franco Maria Nardini, Nicola Tonellotto
Report on the 13th Italian Information Retrieval Workshop (IIR 2023). SIGIR Forum 57 (2) (2023)
Andrea Bacciu, Florin Cuconasu, Federico Siciliano, Fabrizio Silvestri, Nicola Tonellotto, Giovanni Trappolini
RRAML: Reinforced Retrieval Augmented Machine Learning. DP@AI*IA (2023)
Saira Bano, Pietro Cassarà, Nicola Tonellotto, Alberto Gotta
A Federated Channel Modeling System using Generative Neural Networks. VTC2023-Spring (2023)
Saira Bano, Pietro Cassarà, Nicola Tonellotto, Alberto Gotta
A Federated Channel Modeling System using Generative Neural Networks. CoRR (2023)
Saira Bano, Nicola Tonellotto, Pietro Cassarà, Alberto Gotta
Artificial intelligence of things at the edge: Scalable and efficient distributed learning for massive scenarios. Comput. Commun. 205 (2023)
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
A Systematic Mapping Study of Italian Research on Workflows. SC Workshops (2023)
Andrea Bacciu, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri
Integrating Item Relevance in Training Loss for Sequential Recommender Systems. CoRR (2023)
Andrea Bacciu, Florin Cuconasu, Federico Siciliano, Fabrizio Silvestri, Nicola Tonellotto, Giovanni Trappolini
RRAML: Reinforced Retrieval Augmented Machine Learning. CoRR (2023)
Domenico Dato, Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto
The Istella22 Dataset: Bridging Traditional and Neural Learning to Rank Evaluation. SIGIR (2022)
Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Raffaele Perego, Nicola Tonellotto
A Dependency-Aware Utterances Permutation Strategy to Improve Conversational Evaluation. ECIR (1) (2022)
Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto
Context Propagation in Conversational Search Utterances Participation of the CNR Team in CAsT 2022. TREC (2022)
Luca Cassano, Antonio Miele, Francesco Mione, Nicola Tonellotto, Carlo Vallati
Design of Fault-Tolerant Distributed Cyber-Physical Systems for Smart Environments. IEEE Embed. Syst. Lett. 14 (2) (2022)
Antonio Mallia, Joel Mackenzie, Torsten Suel, Nicola Tonellotto
Faster Learned Sparse Retrieval with Guided Traversal. SIGIR (2022)
Simone Pampaloni, Nicola Tonellotto, Carlo Vallati
Latency-Energy Tradeoffs in Federated Learning on Resource Constrained Edge Computing Systems. AI6G@WCCI (2022)
Saira Bano, Nicola Tonellotto, Pietro Cassarà, Alberto Gotta
KafkaFed: Two-Tier Federated Learning Communication Architecture for Internet of Vehicles. PerCom Workshops (2022)
Saira Bano, Nicola Tonellotto, Alberto Gotta
Drivers Stress Identification in Real-World Driving Tasks. PerCom Workshops (2022)
Nicola Tonellotto
Lecture Notes on Neural Information Retrieval. CoRR (2022)
Sean MacAvaney, Nicola Tonellotto, Craig Macdonald
Adaptive Re-Ranking with a Corpus Graph. CIKM (2022)
Domenico Dato, Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto
A Comprehensive Dataset for Modern Learning to Rank Solutions (Abstract). IIR (2022)
Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Raffaele Perego, Nicola Tonellotto
Improving Conversational Evaluation via a Dependency-Aware Permutation Strategy. SEBD (2022)
Sean MacAvaney, Nicola Tonellotto, Craig Macdonald
Adaptive Re-Ranking as an Information-Seeking Agent. CIKM Workshops (2022)
Nicola Tonellotto
Pseudo-Relevance Feedback in the Era of Dense Retrieval. IIR (2022)
Ophir Frieder, Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto
Caching Historical Embeddings in Conversational Search. CoRR (2022)
Antonio Mallia, Joel Mackenzie, Torsten Suel, Nicola Tonellotto
Faster Learned Sparse Retrieval with Guided Traversal. CoRR (2022)
Sean MacAvaney, Nicola Tonellotto, Craig Macdonald
Adaptive Re-Ranking with a Corpus Graph. CoRR (2022)
Artsiom Sauchuk, James Thorne, Alon Y. Halevy, Nicola Tonellotto, Fabrizio Silvestri
On the Role of Relevance in Natural Language Processing Tasks. SIGIR (2022)
Saira Bano, Nicola Tonellotto, Pietro Cassarà, Alberto Gotta
FedTCS: Federated Learning with Time-based Client Selection to Optimize Edge Resources. AI6G@WCCI (2022)
Craig Macdonald, Nicola Tonellotto
On Approximate Nearest Neighbour Selection for Multi-Stage Dense Retrieval. CIKM (2021)
Antonio Mallia, Omar Khattab, Nicola Tonellotto, Torsten Suel
Learning Passage Impacts for Inverted Indexes. CoRR (2021)
Nicola Tonellotto, Craig Macdonald
Query Embedding Pruning for Dense Retrieval. CoRR (2021)
Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Ophir Frieder
Weighting Passages Enhances Accuracy. ACM Trans. Inf. Syst. 39 (2) (2021)
Craig Macdonald, Nicola Tonellotto, Iadh Ounis
On Single and Multiple Representations in Dense Passage Retrieval. CoRR (2021)
Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Raffaele Perego, Nicola Tonellotto
Hierarchical Dependence-aware Evaluation Measures for Conversational Search. SIGIR (2021)
Antonio Mallia, Omar Khattab, Torsten Suel, Nicola Tonellotto
Learning Passage Impacts for Inverted Indexes. SIGIR (2021)
Nicola Tonellotto, Alberto Gotta, Franco Maria Nardini, Daniele Gadler, Fabrizio Silvestri
Neural network quantization in federated learning at the edge. Inf. Sci. 575 (2021)
Craig Macdonald, Nicola Tonellotto, Sean MacAvaney, Iadh Ounis
PyTerrier: Declarative Experimentation in Python from BM25 to Dense Retrieval. CIKM (2021)
Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto
Finding Context through Utterance Dependencies in Search Conversations - Participation of the CNR Team in CAsT 2021. TREC (2021)
Xiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis
Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval. CoRR (2021)
Xiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis
Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval. ICTIR (2021)
Nicola Tonellotto, Craig Macdonald
Query Embedding Pruning for Dense Retrieval. CIKM (2021)
Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Ophir Frieder
Adaptive utterance rewriting for conversational search. Inf. Process. Manag. 58 (6) (2021)
Craig Macdonald, Nicola Tonellotto, Sean MacAvaney
IR From Bag-of-words to BERT and Beyond through Practical Experiments. CIKM (2021)
Craig Macdonald, Nicola Tonellotto
On Approximate Nearest Neighbour Selection for Multi-Stage Dense Retrieval. CoRR (2021)
Craig Macdonald, Nicola Tonellotto, Iadh Ounis
On Single and Multiple Representations in Dense Passage Retrieval. IIR (2021)
Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Ophir Frieder
Topic Propagation in Conversational Search. SIGIR (2020)
Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto
Topical Enrichment of Conversational Search Utterances: Participation of the HPCLab-CNR Team in CAsT 2020. TREC (2020)
Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
Efficient Document Re-Ranking for Transformers by Precomputing Term Representations. CoRR (2020)
Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
Training Curricula for Open Domain Answer Re-Ranking. CoRR (2020)
Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
Training Curricula for Open Domain Answer Re-Ranking. SIGIR (2020)
Craig Macdonald, Nicola Tonellotto
Declarative Experimentation in Information Retrieval using PyTerrier. CoRR (2020)
Nicola Tonellotto, Craig Macdonald
Using an Inverted Index Synopsis for Query Latency and Performance Prediction. ACM Trans. Inf. Syst. 38 (3) (2020)
Craig Macdonald, Nicola Tonellotto
Declarative Experimentation in Information Retrieval using PyTerrier. ICTIR (2020)
Michele Martelli, Pietro Cassarà, Antonio Virdis, Nicola Tonellotto
The Internet of Ships. ERCIM News 2020 (123) (2020)
Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
Efficient Document Re-Ranking for Transformers by Precomputing Term Representations. SIGIR (2020)
Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
Expansion via Prediction of Importance with Contextualization. SIGIR (2020)
Ida Mele, Nicola Tonellotto, Ophir Frieder, Raffaele Perego
Topical result caching in web search engines. Inf. Process. Manag. 57 (3) (2020)
Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
Expansion via Prediction of Importance with Contextualization. CoRR (2020)
Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Ophir Frieder
Topic Propagation in Conversational Search. CoRR (2020)
Antonio Cisternino, Pietro Ducange, Nicola Tonellotto, Carlo Vallati
Leveraging Cloud Infrastructures for Teaching Advanced Computer Engineering Classes - Experiences at the University of Pisa. HELMeTO (2020)
Ida Mele, Nicola Tonellotto, Ophir Frieder, Raffaele Perego
Topical Result Caching in Web Search Engines. CoRR (2020)
Matteo Catena, Ophir Frieder, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto
Enhanced News Retrieval: Passages Lead the Way! SIGIR (2019)
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)
Matteo Catena, Nicola Tonellotto
Multiple Query Processing via Logic Function Factoring. SIGIR (2019)
Matteo Catena, Ophir Frieder, Nicola Tonellotto
Efficient Energy Management in Distributed Web Search. CIKM (2018)
Manlio Bacco, Matteo Catena, Tomaso de Cola, Alberto Gotta, Nicola Tonellotto
Performance Analysis of WebRTC-Based Video Streaming Over Power Constrained Platforms. GLOBECOM (2018)
Marco Meoni, Raffaele Perego, Nicola Tonellotto
Dataset Popularity Prediction for Caching of CMS Big Data. J. Grid Comput. 16 (2) (2018)
Nicola Tonellotto, Craig Macdonald, Iadh Ounis
Efficient Query Processing for Scalable Web Search. Found. Trends Inf. Retr. 12 (4-5) (2018)
Nicola Tonellotto, Craig Macdonald
Efficient Query Processing Infrastructures: A half-day tutorial at SIGIR 2018. SIGIR (2018)
Matteo Catena, Nicola Tonellotto
Energy-Efficient Query Processing in Web Search Engines. IEEE Trans. Knowl. Data Eng. 29 (7) (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)
Matteo Catena, Nicola Tonellotto
Recent Advances in Energy Efficient Query Processing. IIR (2017)
Craig Macdonald, Nicola Tonellotto
Upper Bound Approximation for BlockMaxWand. ICTIR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nicola Tonellotto