A Tool to Execute ASSIST Applications on Globus-Based Grids. - Ranieri Baraglia; Domenico Laforenza; Nicola Tonellotto (PPAM, 2003)

HPC Application Execution on Grids. - Marco Danelutto; Marco Vanneschi; Corrado Zoccolo; Nicola Tonellotto; Salvatore Orlando 001; Ranieri Baraglia; Tiziano Fagni; Domenico Laforenza; Alessandro Paccosi (Future Generation Grids, 2004)

Using Web Services to Run Distributed Numerical Applications. - Diego Puppin; Nicola Tonellotto; Domenico Laforenza (PVM/MPI, 2004)

A Grid Information Service Based on Peer-to-Peer. - Diego Puppin; Stefano Moncelli; Ranieri Baraglia; Nicola Tonellotto; Fabrizio Silvestri (Euro-Par, 2005)

How to Run Scientific Applications over Web Services. - Diego Puppin; Nicola Tonellotto; Domenico Laforenza (ICPP Workshops, 2005)

A New Approach on Network Resources Management in Grids. - Ranieri Baraglia; Domenico Laforenza; Renato Ferrini; Nicola Tonellotto; Davide Adami; Stefano Giordano; Ramin Yahyapour (CoreGRID Integration Workshop, 2006)

Execution Support of High Performance Heterogeneous Component-Based Applications on the Grid. - Massimo Coppola; Marco Danelutto; Nicola Tonellotto; Marco Vanneschi; Corrado Zoccolo (Euro-Par Workshops, 2006)

Design and Implementation of a Grid Network-Aware Resource Broker. - Davide Adami; Stefano Giordano; Matteo Repeti; Massimo Coppola; Domenico Laforenza; Nicola Tonellotto (Parallel and Distributed Computing and Networks, 2006)

Behavioural Skeletons for Component Autonomic Management on Grids. - Marco Aldinucci; Sonia Campa; Marco Danelutto; Patrizio Dazzi; Domenico Laforenza; Nicola Tonellotto; Peter Kilpatrick (CoreGRID Workshop - Making Grids Work, 2007)

A Performance Model for Stream-based Computations. - Marco Danelutto; Marco Vanneschi; Corrado Zoccolo; Domenico Laforenza; Nicola Tonellotto (PDP, 2007)

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 (PDP, 2008)

QoS-constrained List Scheduling Heuristics for Parallel Applications on Grids. - Nicola Tonellotto; Ranieri Baraglia; Renato Ferrini; Laura Ricci; Ramin Yahyapour (PDP, 2008)

A Launch-time Scheduling Heuristics for Parallel Applications on Wide Area Grids. - Ranieri Baraglia; Renato Ferrini; Nicola Tonellotto; Laura Ricci; Ramin Yahyapour (J. Grid Comput., 2008)

Component performance modeling and scheduling strategies on grids. - Nicola Tonellotto (2008)

Adaptive Instantiation of Service Workflows Using a Chemical Approach. - Claudia Di Napoli; Maurizio Giordano; Zsolt Németh; Nicola Tonellotto (Euro-Par Workshops, 2010)

Using chemical reactions to model service composition. - Claudia Di Napoli; Maurizio Giordano; Zsolt Németh; Nicola Tonellotto (SOAR@ICAC, 2010)

Efficient Dynamic Pruning with Proximity Support. - Nicola Tonellotto; Craig Macdonald; Iadh Ounis (LSDS-IR@SIGIR, 2010)

Modeling Stream Communications in Component-based Applications. - Marco Danelutto; Domenico Laforenza; Nicola Tonellotto; Marco Vanneschi; Corrado Zoccolo (Scalable Comput. Pract. Exp., 2010)

Representing Document Lengths with Identifiers. - Raffaele Perego 001; Fabrizio Silvestri; Nicola Tonellotto (ECIR, 2011)

On Upper Bounds for Dynamic Pruning. - Craig Macdonald; Nicola Tonellotto; Iadh Ounis (ICTIR, 2011)

Effect of different docid orderings on dynamic pruning retrieval strategies. - Nicola Tonellotto; Craig Macdonald; Iadh Ounis (SIGIR, 2011)

Upper-bound approximations for dynamic pruning. - Craig Macdonald; Iadh Ounis; Nicola Tonellotto (ACM Trans. Inf. Syst., 2011)

On Cloud-Based Multisource Reliable Multicast Transport in Broadband Multimedia Satellite Networks. - Alberto Gotta; Nicola Tonellotto; Emnet T. Abdo (PSATS, 2012)

Scheduling queries across replicas. - Ana Freire; Craig Macdonald; Nicola Tonellotto; Iadh Ounis; Fidel Cacheda (SIGIR, 2012)

Learning to predict response times for online query scheduling. - Craig Macdonald; Nicola Tonellotto; Iadh Ounis (SIGIR, 2012)

Effect of dynamic pruning safety on learning to rank effectiveness. - Craig Macdonald; Nicola Tonellotto; Iadh Ounis (SIGIR, 2012)

Load-sensitive selective pruning for distributed search. - Daniele Broccolo; Craig Macdonald; Salvatore Orlando 001; Iadh Ounis; Raffaele Perego 001; Fabrizio Silvestri; Nicola Tonellotto (CIKM, 2013)

Hybrid Query Scheduling for a Replicated Search Engine. - Ana Freire; Craig Macdonald; Nicola Tonellotto; Iadh Ounis; Fidel Cacheda (ECIR, 2013)

Performance Evaluation of SPDY over High Latency Satellite Channels. - Andrea Cardaci; Luca Caviglione; Alberto Gotta; Nicola Tonellotto (PSATS, 2013)

Query Processing in Highly-Loaded Search Engines. - Daniele Broccolo; Craig Macdonald; Salvatore Orlando 001; Iadh Ounis; Raffaele Perego 001; Fabrizio Silvestri; Nicola Tonellotto (SPIRE, 2013)

Workshop on large-scale and distributed systems for information retrieval (LSDS-IR 2013). - Nicola Tonellotto; Craig Macdonald; Ismail Sengör Altingövde (WSDM, 2013)

Efficient and effective retrieval using selective pruning. - Nicola Tonellotto; Craig Macdonald; Iadh Ounis (WSDM, 2013)

A SOA Testing Platform on the Cloud: The MIDAS Experience. - Alberto De Francesco; Claudia Di Napoli; Maurizio Giordano; Giuseppe Ottaviano; Raffaele Perego 001; Nicola Tonellotto (INCoS, 2014)

Workshop on large-scale and distributed systems for information retrieval (LSDS-IR 2014). - Ismail Sengör Altingövde; Berkant Barla Cambazoglu; Craig Macdonald; Nicola Tonellotto (WSDM, 2014)

A self-adapting latency/power tradeoff model for replicated search engines. - Ana Freire; Craig Macdonald; Nicola Tonellotto; Iadh Ounis; Fidel Cacheda (WSDM, 2014)

LSDS-IR'15: 2015 Workshop on Large-Scale and Distributed Systems for Information Retrieval. - Ismail Sengor Altingovde; Berkant Barla Cambazoglu; Nicola Tonellotto (CIKM, 2015)

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; et al. (ICST, 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)

A Study on Query Energy Consumption in Web Search Engines. - Matteo Catena; Nicola Tonellotto (IIR, 2015)

Entity Linking on Philosophical Documents. - Diego Ceccarelli; Alberto De Francesco; Raffaele Perego 001; Marco Segala; Nicola Tonellotto; Salvatore Trani (IIR, 2015)

Load-sensitive CPU Power Management for Web Search Engines. - Matteo Catena; Craig Macdonald; Nicola Tonellotto (SIGIR, 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)

Optimal Space-time Tradeoffs for Inverted Indexes. - Giuseppe Ottaviano; Nicola Tonellotto; Rossano Venturini (WSDM, 2015)

MIDAS: a cloud platform for SOA testing as a service. - Alberto De Francesco; Claudia Di Napoli; Maurizio Giordano; Giuseppe Ottaviano; Raffaele Perego 001; Nicola Tonellotto (Int. J. High Perform. Comput. Netw., 2015)

Queuing Theory-based Latency/Power Tradeoff Models for Replicated Search Engines. - Ana Freire; Craig Macdonald; Nicola Tonellotto; Iadh Ounis; Fidel Cacheda (J. Univers. Comput. Sci., 2015)

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)

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)

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

Exploiting Green Energy to Reduce the Operational Costs of Multi-Center Web Search Engines. - Roi Blanco; Matteo Catena; Nicola Tonellotto (WWW, 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)

Upper Bound Approximation for BlockMaxWand. - Craig Macdonald; Nicola Tonellotto (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)

Recent Advances in Energy Efficient Query Processing. - Matteo Catena; Nicola Tonellotto (IIR, 2017)

Popularity-Based Caching of CMS Datasets. - Marco Meoni; Raffaele Perego 001; Nicola Tonellotto (PARCO, 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)

Efficient & Effective Selective Query Rewriting with Efficiency Predictions. - Craig MacDonald; Nicola Tonellotto; Iadh Ounis (SIGIR, 2017)

Faster BlockMax WAND with Variable-sized Blocks. - Antonio Mallia; Giuseppe Ottaviano; Elia Porciani; Nicola Tonellotto; Rossano Venturini (SIGIR, 2017)

Energy-Efficient Query Processing in Web Search Engines. - Matteo Catena; Nicola Tonellotto (IEEE Trans. Knowl. Data Eng., 2017)

Efficient Energy Management in Distributed Web Search. - Matteo Catena; Ophir Frieder; Nicola Tonellotto (CIKM, 2018)

Performance Analysis of WebRTC-Based Video Streaming Over Power Constrained Platforms. - Manlio Bacco; Matteo Catena; Tomaso de Cola; Alberto Gotta; Nicola Tonellotto (GLOBECOM, 2018)

Efficient Query Processing Infrastructures: A half-day tutorial at SIGIR 2018. - Nicola Tonellotto; Craig Macdonald (SIGIR, 2018)

Efficient Query Processing for Scalable Web Search. - Nicola Tonellotto; Craig Macdonald; Iadh Ounis (Found. Trends Inf. Retr., 2018)

Dataset Popularity Prediction for Caching of CMS Big Data. - Marco Meoni; Raffaele Perego 001; Nicola Tonellotto (J. Grid Comput., 2018)

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

Multiple Query Processing via Logic Function Factoring. - Matteo Catena; Nicola Tonellotto (SIGIR, 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)

Leveraging Cloud Infrastructures for Teaching Advanced Computer Engineering Classes - Experiences at the University of Pisa. - Antonio Cisternino; Pietro Ducange; Nicola Tonellotto; Carlo Vallati (HELMeTO, 2020)

Declarative Experimentation in Information Retrieval using PyTerrier. - Craig Macdonald; Nicola Tonellotto (ICTIR, 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)

The Internet of Ships. - Michele Martelli; Pietro Cassarà; Antonio Virdis; Nicola Tonellotto (ERCIM News, 2020)

Topical result caching in web search engines. - Ida Mele; Nicola Tonellotto; Ophir Frieder; Raffaele Perego 001 (Inf. Process. Manag., 2020)

Using an Inverted Index Synopsis for Query Latency and Performance Prediction. - Nicola Tonellotto; Craig Macdonald (ACM Trans. Inf. Syst., 2020)

On Approximate Nearest Neighbour Selection for Multi-Stage Dense Retrieval. - Craig Macdonald; Nicola Tonellotto (CIKM, 2021)

IR From Bag-of-words to BERT and Beyond through Practical Experiments. - Craig Macdonald; Nicola Tonellotto; Sean MacAvaney (CIKM, 2021)

PyTerrier: Declarative Experimentation in Python from BM25 to Dense Retrieval. - Craig Macdonald; Nicola Tonellotto; Sean MacAvaney; Iadh Ounis (CIKM, 2021)

Query Embedding Pruning for Dense Retrieval. - Nicola Tonellotto; Craig Macdonald (CIKM, 2021)

Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval. - Xiao Wang 043; Craig Macdonald; Nicola Tonellotto; Iadh Ounis (ICTIR, 2021)

On Single and Multiple Representations in Dense Passage Retrieval. - Craig Macdonald; Nicola Tonellotto; Iadh Ounis (IIR, 2021)

Hierarchical Dependence-aware Evaluation Measures for Conversational Search. - Guglielmo Faggioli; Marco Ferrante; Nicola Ferro 001; Raffaele Perego 001; Nicola Tonellotto (SIGIR, 2021)

Learning Passage Impacts for Inverted Indexes. - Antonio Mallia; Omar Khattab; Torsten Suel; Nicola Tonellotto (SIGIR, 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)

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

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

Adaptive Re-Ranking with a Corpus Graph. - Sean MacAvaney; Nicola Tonellotto; Craig Macdonald (CIKM, 2022)

Adaptive Re-Ranking as an Information-Seeking Agent. - Sean MacAvaney; Nicola Tonellotto; Craig Macdonald (CIKM Workshops, 2022)

A Dependency-Aware Utterances Permutation Strategy to Improve Conversational Evaluation. - Guglielmo Faggioli; Marco Ferrante; Nicola Ferro 001; Raffaele Perego 001; Nicola Tonellotto (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)

Pseudo-Relevance Feedback in the Era of Dense Retrieval. - Nicola Tonellotto (IIR, 2022)

KafkaFed: Two-Tier Federated Learning Communication Architecture for Internet of Vehicles. - Saira Bano; Nicola Tonellotto; Pietro Cassarà; Alberto Gotta (PerCom Workshops, 2022)

Drivers Stress Identification in Real-World Driving Tasks. - Saira Bano; Nicola Tonellotto; Alberto Gotta (PerCom Workshops, 2022)

Improving Conversational Evaluation via a Dependency-Aware Permutation Strategy. - Guglielmo Faggioli; Marco Ferrante; Nicola Ferro 001; Raffaele Perego 001; Nicola Tonellotto (SEBD, 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)

Faster Learned Sparse Retrieval with Guided Traversal. - Antonio Mallia; Joel Mackenzie; Torsten Suel; Nicola Tonellotto (SIGIR, 2022)

On the Role of Relevance in Natural Language Processing Tasks. - Artsiom Sauchuk; James Thorne; Alon Y. Halevy; Nicola Tonellotto; Fabrizio Silvestri (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)

FedTCS: Federated Learning with Time-based Client Selection to Optimize Edge Resources. - Saira Bano; Nicola Tonellotto; Pietro Cassarà; Alberto Gotta (AI6G@WCCI, 2022)

Latency-Energy Tradeoffs in Federated Learning on Resource Constrained Edge Computing Systems. - Simone Pampaloni; Nicola Tonellotto; Carlo Vallati (AI6G@WCCI, 2022)

Lecture Notes on Neural Information Retrieval. - Nicola Tonellotto (CoRR, 2022)

Design of Fault-Tolerant Distributed Cyber-Physical Systems for Smart Environments. - Luca Cassano; Antonio Miele; Francesco Mione; Nicola Tonellotto; Carlo Vallati (IEEE Embed. Syst. Lett., 2022)

RRAML: Reinforced Retrieval Augmented Machine Learning. - Andrea Bacciu; Florin Cuconasu; Federico Siciliano; Fabrizio Silvestri; Nicola Tonellotto; Giovanni Trappolini (DP@AI*IA, 2023)

Static Pruning for Multi-Representation Dense Retrieval. - Antonio Acquavia; Craig Macdonald; Nicola Tonellotto (DocEng, 2023)

A Spatial Approach to Predict Performance of Conversational Search Systems. - Guglielmo Faggioli; Nicola Ferro 001; Cristina Ioana Muntean; Raffaele Perego 001; Nicola Tonellotto (IIR, 2023)

Integrating Item Relevance in Training Loss for Sequential Recommender Systems. - Andrea Bacciu; Federico Siciliano; Nicola Tonellotto; Fabrizio Silvestri (RecSys, 2023)

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; et al. (SC Workshops, 2023)

A Geometric Framework for Query Performance Prediction in Conversational Search. - Guglielmo Faggioli; Nicola Ferro 001; Cristina Ioana Muntean; Raffaele Perego 001; Nicola Tonellotto (SIGIR, 2023)

A Static Pruning Study on Sparse Neural Retrievers. - Carlos Lassance; Simon Lupart; Hervé Déjean; Stéphane Clinchant; Nicola Tonellotto (SIGIR, 2023)

Reproducibility, Replicability, and Insights into Dense Multi-Representation Retrieval Models: from ColBERT to Col. - Xiao Wang 043; Craig Macdonald; Nicola Tonellotto; Iadh Ounis (SIGIR, 2023)

Energy-Efficient Resource Management for Real-Time Applications in FaaS Edge Computing Platforms. - Shahrokh Vahabi; Francesca Righetti; Carlo Vallati; Nicola Tonellotto (UCC, 2023)

A Federated Channel Modeling System using Generative Neural Networks. - Saira Bano; Pietro Cassarà; Nicola Tonellotto; Alberto Gotta (VTC2023-Spring, 2023)

ColBERT-PRF: Semantic Pseudo-Relevance Feedback for Dense Passage and Document Retrieval. - Xiao Wang 043; Craig MacDonald; Nicola Tonellotto; Iadh Ounis (ACM Trans. Web, 2023)

Artificial intelligence of things at the edge: Scalable and efficient distributed learning for massive scenarios. - Saira Bano; Nicola Tonellotto; Pietro Cassarà; Alberto Gotta (Comput. Commun., 2023)

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

Neural Information Retrieval. - Nicola Tonellotto (Information Retrieval: Advanced Topics and Techniques, 2024)

indxr: A Python Library for Indexing File Lines. - Elias Bassani; Nicola Tonellotto (ECIR (5), 2024)

DESIRE-ME: Domain-Enhanced Supervised Information Retrieval Using Mixture-of-Experts. - Pranav Kasela; Gabriella Pasi; Raffaele Perego 001; Nicola Tonellotto (ECIR (2), 2024)

Two-Step SPLADE: Simple, Efficient and Effective Approximation of SPLADE. - Carlos Lassance; Hervé Déjean; Stéphane Clinchant; Nicola Tonellotto (ECIR (2), 2024)

Learning to Rank for Non Independent and Identically Distributed Datasets. - Jacopo Cecchetti; Nicola Tonellotto; Raffaele Perego 001 (ICTIR, 2024)

Rethinking Relevance: How Noise and Distractors Impact Retrieval-Augmented Generation. - Florin Cuconasu; Giovanni Trappolini; Federico Siciliano; Simone Filice; Cesare Campagnano; Yoelle Maarek; Nicola Tonellotto; Fabrizio Silvestri (IIR, 2024)

Turning on a DIME: Estimating Dimension Importance for Dense Information Retrieval. - Guglielmo Faggioli; Nicola Ferro 001; Raffaele Perego 001; Nicola Tonellotto (IIR, 2024)

Energy-efficient Orchestration Strategies for Function-as-a-Service Platforms. - Francesca Righetti; Nicola Tonellotto; Nicola Barsanti; Carlo Vallati (PerCom Workshops, 2024)

Efficient Inference of Sub-Item Id-based Sequential Recommendation Models with Millions of Items. - Aleksandr Vladimirovich Petrov; Craig Macdonald; Nicola Tonellotto (RecSys, 2024)

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 (SIGIR, 2024)

Dimension Importance Estimation for Dense Information Retrieval. - Guglielmo Faggioli; Nicola Ferro 001; Raffaele Perego 001; Nicola Tonellotto (SIGIR, 2024)

A Reproducibility Study of PLAID. - Sean MacAvaney; Nicola Tonellotto (SIGIR, 2024)

Faster Learned Sparse Retrieval with Block-Max Pruning. - Antonio Mallia; Torsten Suel; Nicola Tonellotto (SIGIR, 2024)

Generating Query Recommendations via LLMs. - Andrea Bacciu; Enrico Palumbo; Andreas Damianou; Nicola Tonellotto; Fabrizio Silvestri (CoRR, 2024)

Graph Neural Re-Ranking via Corpus Graph. - Andrea Giuseppe Di Francesco; Christian Giannetti; Nicola Tonellotto; Fabrizio Silvestri (CoRR, 2024)

A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG Systems. - Florin Cuconasu; Giovanni Trappolini; Nicola Tonellotto; Fabrizio Silvestri (CoRR, 2024)

A Theoretical Analysis of Recommendation Loss Functions under Negative Sampling. - Giulia Di Teodoro; Federico Siciliano; Nicola Tonellotto; Fabrizio Silvestri (CoRR, 2024)

Static Pruning in Dense Retrieval using Matrix Decomposition. - Federico Siciliano; Francesca Pezzuti; Nicola Tonellotto; Fabrizio Silvestri (CoRR, 2024)

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 001; Fabrizio Falchi (CoRR, 2024)

ECLIPSE: Contrastive Dimension Importance Estimation with Pseudo-Irrelevance Feedback for Dense Retrieval. - Giulio D'Erasmo; Giovanni Trappolini; Nicola Tonellotto; Fabrizio Silvestri (CoRR, 2024)

Personalized Query Expansion with Contextual Word Embeddings. - Elias Bassani; Nicola Tonellotto; Gabriella Pasi (ACM Trans. Inf. Syst., 2024)

FedCMD: A Federated Cross-modal Knowledge Distillation for Drivers' Emotion Recognition. - Saira Bano; Nicola Tonellotto; Pietro Cassarà; Alberto Gotta (ACM Trans. Intell. Syst. Technol., 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)

Query Performance Prediction Using Dimension Importance Estimators. - Guglielmo Faggioli; Nicola Ferro 001; Raffaele Perego 001; Nicola Tonellotto (ECIR (2), 2025)

Enhancing Reproducibility and Replicability in Information Retrieval: A Path Towards Scientific Integrity and Effective Research. - Antonio Ferrara 001; Claudio Pomo; Nicola Tonellotto (ECIR (5), 2025)

Efficient Constant-Space Multi-vector Retrieval. - Sean MacAvaney; Antonio Mallia; Nicola Tonellotto (ECIR (3), 2025)

Maybe You Are Looking for CroQS [inline-graphic not available: see fulltext] Cross-Modal Query Suggestion for Text-to-Image Retrieval. - Giacomo Pacini; Fabio Carrara; Nicola Messina; Nicola Tonellotto; Giuseppe Amato 001; Fabrizio Falchi (ECIR (2), 2025)

Exploring the Effectiveness of Multi-stage Fine-Tuning for Cross-Encoder Re-rankers. - Francesca Pezzuti; Sean MacAvaney; Nicola Tonellotto (ECIR (3), 2025)

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 (ECIR (1), 2025)

CoDIME: A Counterfactual Approach for Dimension Importance Estimation through Click Logs. - Guglielmo Faggioli; Nicola Ferro 001; Raffaele Perego 001; Nicola Tonellotto (SIGIR, 2025)

Efficient Recommendation with Millions of Items by Dynamic Pruning of Sub-Item Embeddings. - Aleksandr V. Petrov; Craig Macdonald; Nicola Tonellotto (SIGIR, 2025)

Energy-Efficient Function Invocation Scheduling for Edge FaaS Platforms. - Francesca Righetti; Biagio Cornacchia; Gabriele Russo Russo; Nicola Tonellotto; Valeria Cardellini; Carlo Vallati (SMARTCOMP, 2025)

A Reproducible Analysis of Sequential Recommender Systems. - Filippo Betello; Antonio Purificato; Federico Siciliano; Giovanni Trappolini; Andrea Bacciu; Nicola Tonellotto; Fabrizio Silvestri (IEEE Access, 2025)

The Impact of Prediction Models on Energy-Aware Resource Management in FaaS Platforms. - Shahrokh Vahabi; Francesca Righetti; Carlo Vallati; Nicola Tonellotto (IEEE Access, 2025)

Document Quality Scoring for Web Crawling. - Francesca Pezzuti; Ariane Mueller; Sean MacAvaney; Nicola Tonellotto (CoRR, 2025)

AMAQA: A Metadata-based QA Dataset for RAG Systems. - Davide Bruni; Marco Avvenuti; Nicola Tonellotto; Maurizio Tesconi (CoRR, 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)

Neural Prioritisation for Web Crawling. - Francesca Pezzuti; Sean MacAvaney; Nicola Tonellotto (CoRR, 2025)