Nicola Tonellotto

223 papers A* 32A 18B 6C 6Misc 9Journal 73Unranked 63

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Picture of Agentic Search. CoRR Francesca Pezzuti, Ophir Frieder, Fabrizio Silvestri, Sean MacAvaney, Nicola Tonellotto
2026	J	`jnl`	Getting off the DIME: Dimension Pruning via Dimension Importance Estimation for Dense Information Retrieval. ACM Trans. Inf. Syst. Guglielmo Faggioli, Nicola Ferro, Raffaele Perego, Nicola Tonellotto
2026	J	`jnl`	Projection-Displacement-Based Query Performance Prediction for Embedded Space of Dense Retrievers. ACM Trans. Inf. Syst. Suchana Datta, Guglielmo Faggioli, Nicola Ferro, Debasis Ganguly, Cristina Ioana Muntean, Raffaele Perego, Nicola Tonellotto
2026	—	`conf`	Statistical Foundations of DIME: Risk Estimation for Practical Index Selection. EACL (Volume 2: Short Papers) Giulio D'Erasmo, Cesare Campagnano, Antonio Mallia, Pierpaolo Brutti, Nicola Tonellotto, Fabrizio Silvestri
2026	J	`jnl`	Statistical Foundations of DIME: Risk Estimation for Practical Index Selection. CoRR Giulio D'Erasmo, Cesare Campagnano, Antonio Mallia, Pierpaolo Brutti, Nicola Tonellotto, Fabrizio Silvestri
2026	C	`ed.`	String Processing and Information Retrieval - 32nd International Symposium, SPIRE 2025, London, UK, September 8-11, 2025, Proceedings SPIRE Golnaz Badkobeh, Jakub Radoszewski, Nicola Tonellotto, Ricardo Baeza-Yates
2026	—	`conf`	When Reducing Representations Improves Performance. ECIR (1) Andrea Pasin, Guglielmo Faggioli, Nicola Ferro, Raffaele Perego, Nicola Tonellotto
2025	—	`conf`	A Dimension Importance Estimation-based Framework for Query Performance Prediction. SEBD Guglielmo Faggioli, Nicola Ferro, Raffaele Perego, Nicola Tonellotto
2025	J	`jnl`	A Reproducible Analysis of Sequential Recommender Systems. IEEE Access Filippo Betello, Antonio Purificato, Federico Siciliano, Giovanni Trappolini, Andrea Bacciu, Nicola Tonellotto, Fabrizio Silvestri
2025	B	`conf`	A Theoretical Analysis of Recommendation Loss Functions under Negative Sampling. IJCNN Giulia Di Teodoro, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri
2025	J	`jnl`	AMAQA: A Metadata-based QA Dataset for RAG Systems. CoRR Davide Bruni, Marco Avvenuti, Nicola Tonellotto, Maurizio Tesconi
2025	—	`ed.`	Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part I ECIR (1) Claudia Hauff, Craig Macdonald, Dietmar Jannach, Gabriella Kazai, Franco Maria Nardini, Fabio Pinelli, Fabrizio Silvestri, Nicola Tonellotto
2025	—	`ed.`	Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part II ECIR (2) Claudia Hauff, Craig Macdonald, Dietmar Jannach, Gabriella Kazai, Franco Maria Nardini, Fabio Pinelli, Fabrizio Silvestri, Nicola Tonellotto
2025	—	`ed.`	Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part III ECIR (3) Claudia Hauff, Craig Macdonald, Dietmar Jannach, Gabriella Kazai, Franco Maria Nardini, Fabio Pinelli, Fabrizio Silvestri, Nicola Tonellotto
2025	—	`ed.`	Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part IV ECIR (4) Claudia Hauff, Craig Macdonald, Dietmar Jannach, Gabriella Kazai, Franco Maria Nardini, Fabio Pinelli, Fabrizio Silvestri, Nicola Tonellotto
2025	—	`ed.`	Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part V ECIR (5) Claudia Hauff, Craig Macdonald, Dietmar Jannach, Gabriella Kazai, Franco Maria Nardini, Fabio Pinelli, Fabrizio Silvestri, Nicola Tonellotto
2025	B	`conf`	Are Convolutional Sequential Recommender Systems Still Competitive? Introducing New Models and Insights. IJCNN Federico Siciliano, Antonio Purificato, Filippo Betello, Nicola Tonellotto, Fabrizio Silvestri
2025	J	`jnl`	Blending Learning to Rank and Dense Representations for Efficient and Effective Cascades. CoRR Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Salvatore Trani
2025	C	`conf`	Breaking the 2D Dependency: What Limits 3D-Only Open-Vocabulary Scene Understanding. CBMI Domenico D'Orsi, Fabio Carrara, Fabrizio Falchi, Nicola Tonellotto
2025	—	`conf`	Caser+ and CosRec+: Closing the Gap Between CNNs and Attention Models in SRS. IIR Federico Siciliano, Antonio Purificato, Filippo Betello, Nicola Tonellotto, Fabrizio Silvestri
2025	A*	`conf`	CoDIME: A Counterfactual Approach for Dimension Importance Estimation through Click Logs. SIGIR Guglielmo Faggioli, Nicola Ferro, Raffaele Perego, Nicola Tonellotto
2025	—	`conf`	Comparing Recommendation Losses under Negative Sampling. IIR Giulia Di Teodoro, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri
2025	—	`conf`	Counterfactual Dimension Importance Estimation (CoDIME) for Dense Information Retrieval. IIR Guglielmo Faggioli, Nicola Ferro, Raffaele Perego, Nicola Tonellotto
2025	—	`conf`	Document Quality Scoring for Web Crawling. WOWS Francesca Pezzuti, Ariane Mueller, Sean MacAvaney, Nicola Tonellotto
2025	J	`jnl`	Document Quality Scoring for Web Crawling. CoRR Francesca Pezzuti, Ariane Mueller, Sean MacAvaney, Nicola Tonellotto
2025	J	`jnl`	Early-Exit Graph Neural Networks. CoRR Andrea Giuseppe Di Francesco, Maria Sofia Bucarelli, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Fabrizio Silvestri
2025	Misc	`conf`	Eclipse: Contrastive Dimension Importance Estimation with Pseudo-Irrelevance Feedback for Dense Retrieval. ICTIR Giulio D'Erasmo, Giovanni Trappolini, Fabrizio Silvestri, Nicola Tonellotto
2025	—	`conf`	Eclipse: Leveraging Pseudo-Irrelevance for Dimension Importance Estimation. IIR Giulio D'Erasmo, Giovanni Trappolini, Nicola Tonellotto, Fabrizio Silvestri
2025	J	`jnl`	Efficient Constant-Space Multi-Vector Retrieval. CoRR Sean MacAvaney, Antonio Mallia, Nicola Tonellotto
2025	—	`conf`	Efficient Constant-Space Multi-vector Retrieval. ECIR (3) Sean MacAvaney, Antonio Mallia, Nicola Tonellotto
2025	A*	`conf`	Efficient Recommendation with Millions of Items by Dynamic Pruning of Sub-Item Embeddings. SIGIR Aleksandr V. Petrov, Craig Macdonald, Nicola Tonellotto
2025	J	`jnl`	Efficient Recommendation with Millions of Items by Dynamic Pruning of Sub-Item Embeddings. CoRR Aleksandr V. Petrov, Craig Macdonald, Nicola Tonellotto
2025	B	`conf`	Energy-Efficient Function Invocation Scheduling for Edge FaaS Platforms. SMARTCOMP Francesca Righetti, Biagio Cornacchia, Gabriele Russo Russo, Nicola Tonellotto, Valeria Cardellini, Carlo Vallati
2025	—	`conf`	Enhancing Reproducibility and Replicability in Information Retrieval: A Path Towards Scientific Integrity and Effective Research. ECIR (5) Antonio Ferrara, Claudio Pomo, Nicola Tonellotto
2025	B	`conf`	Enhancing Reproducibility and Replicability in Information Retrieval: A Path Towards Scientific Integrity and Effective Research. ICWE Antonio Ferrara, Claudio Pomo, Nicola Tonellotto
2025	—	`conf`	Exploring the Effectiveness of Multi-stage Fine-Tuning for Cross-Encoder Re-rankers. ECIR (3) Francesca Pezzuti, Sean MacAvaney, Nicola Tonellotto
2025	J	`jnl`	Exploring the Effectiveness of Multi-stage Fine-tuning for Cross-encoder Re-rankers. CoRR Francesca Pezzuti, Sean MacAvaney, Nicola Tonellotto
2025	—	`conf`	MURR: Model Updating with Regularized Replay for Searching a Document Stream. ECIR (1) Eugene Yang, Nicola Tonellotto, Dawn J. Lawrie, Sean MacAvaney, James Mayfield, Douglas W. Oard, Scott Miller
2025	J	`jnl`	MURR: Model Updating with Regularized Replay for Searching a Document Stream. CoRR Eugene Yang, Nicola Tonellotto, Dawn J. Lawrie, Sean MacAvaney, James Mayfield, Douglas W. Oard, Scott Miller
2025	—	`conf`	Maybe You Are Looking for CroQS 🐊 Cross-Modal Query Suggestion for Text-to-Image Retrieval. ECIR (2) Giacomo Pacini, Fabio Carrara, Nicola Messina, Nicola Tonellotto, Giuseppe Amato, Fabrizio Falchi
2025	Misc	`conf`	Neural Prioritisation for Web Crawling. ICTIR Francesca Pezzuti, Sean MacAvaney, Nicola Tonellotto
2025	J	`jnl`	Neural Prioritisation for Web Crawling. CoRR Francesca Pezzuti, Sean MacAvaney, Nicola Tonellotto
2025	—	`conf`	Neural Web Crawling. IIR Francesca Pezzuti, Sean MacAvaney, Nicola Tonellotto
2025	—	`conf`	Query Performance Prediction Using Dimension Importance Estimators. ECIR (2) Guglielmo Faggioli, Nicola Ferro, Raffaele Perego, Nicola Tonellotto
2025	J	`jnl`	The Impact of Prediction Models on Energy-Aware Resource Management in FaaS Platforms. IEEE Access Shahrokh Vahabi, Francesca Righetti, Carlo Vallati, Nicola Tonellotto
2024	A*	`conf`	A Reproducibility Study of PLAID. SIGIR Sean MacAvaney, Nicola Tonellotto
2024	J	`jnl`	A Reproducibility Study of PLAID. CoRR Sean MacAvaney, Nicola Tonellotto
2024	J	`jnl`	A Reproducible Analysis of Sequential Recommender Systems. CoRR Filippo Betello, Antonio Purificato, Federico Siciliano, Giovanni Trappolini, Andrea Bacciu, Nicola Tonellotto, Fabrizio Silvestri
2024	J	`jnl`	A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG Systems. CoRR Florin Cuconasu, Giovanni Trappolini, Nicola Tonellotto, Fabrizio Silvestri
2024	J	`jnl`	A Theoretical Analysis of Recommendation Loss Functions under Negative Sampling. CoRR Giulia Di Teodoro, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri
2024	—	`ed.`	Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part I ECIR (1) Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis
2024	—	`ed.`	Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part II ECIR (2) Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis
2024	—	`ed.`	Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part III ECIR (3) Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis
2024	—	`ed.`	Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part IV ECIR (4) Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis
2024	—	`ed.`	Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part V ECIR (5) Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis
2024	—	`ed.`	Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part VI ECIR (6) Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis
2024	J	`jnl`	Caching Historical Embeddings in Conversational Search. ACM Trans. Web Ophir Frieder, Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto
2024	J	`jnl`	DESIRE-ME: Domain-Enhanced Supervised Information REtrieval using Mixture-of-Experts. CoRR Pranav Kasela, Gabriella Pasi, Raffaele Perego, Nicola Tonellotto
2024	—	`conf`	DESIRE-ME: Domain-Enhanced Supervised Information Retrieval Using Mixture-of-Experts. ECIR (2) Pranav Kasela, Gabriella Pasi, Raffaele Perego, Nicola Tonellotto
2024	A*	`conf`	Dimension Importance Estimation for Dense Information Retrieval. SIGIR Guglielmo Faggioli, Nicola Ferro, Raffaele Perego, Nicola Tonellotto
2024	J	`jnl`	ECLIPSE: Contrastive Dimension Importance Estimation with Pseudo-Irrelevance Feedback for Dense Retrieval. CoRR Giulio D'Erasmo, Giovanni Trappolini, Nicola Tonellotto, Fabrizio Silvestri
2024	A	`conf`	Efficient Inference of Sub-Item Id-based Sequential Recommendation Models with Millions of Items. RecSys Aleksandr Vladimirovich Petrov, Craig Macdonald, Nicola Tonellotto
2024	J	`jnl`	Efficient Inference of Sub-Item Id-based Sequential Recommendation Models with Millions of Items. CoRR Aleksandr V. Petrov, Craig Macdonald, Nicola Tonellotto
2024	—	`conf`	Energy-efficient Orchestration Strategies for Function-as-a-Service Platforms. PerCom Workshops Francesca Righetti, Nicola Tonellotto, Nicola Barsanti, Carlo Vallati
2024	A*	`conf`	Faster Learned Sparse Retrieval with Block-Max Pruning. SIGIR Antonio Mallia, Torsten Suel, Nicola Tonellotto
2024	J	`jnl`	Faster Learned Sparse Retrieval with Block-Max Pruning. CoRR Antonio Mallia, Torsten Suel, Nicola Tonellotto
2024	J	`jnl`	FedCMD: A Federated Cross-modal Knowledge Distillation for Drivers' Emotion Recognition. ACM Trans. Intell. Syst. Technol. Saira Bano, Nicola Tonellotto, Pietro Cassarà, Alberto Gotta
2024	J	`jnl`	Generating Query Recommendations via LLMs. CoRR Andrea Bacciu, Enrico Palumbo, Andreas Damianou, Nicola Tonellotto, Fabrizio Silvestri
2024	J	`jnl`	Graph Neural Re-Ranking via Corpus Graph. CoRR Andrea Giuseppe Di Francesco, Christian Giannetti, Nicola Tonellotto, Fabrizio Silvestri
2024	Misc	`conf`	Learning to Rank for Non Independent and Identically Distributed Datasets. ICTIR Jacopo Cecchetti, Nicola Tonellotto, Raffaele Perego
2024	J	`jnl`	Maybe you are looking for CroQS: Cross-modal Query Suggestion for Text-to-Image Retrieval. CoRR Giacomo Pacini, Fabio Carrara, Nicola Messina, Nicola Tonellotto, Giuseppe Amato, Fabrizio Falchi
2024	—	`ch.`	Neural Information Retrieval. Information Retrieval: Advanced Topics and Techniques Nicola Tonellotto
2024	J	`jnl`	Personalized Query Expansion with Contextual Word Embeddings. ACM Trans. Inf. Syst. Elias Bassani, Nicola Tonellotto, Gabriella Pasi
2024	—	`conf`	Rethinking Relevance: How Noise and Distractors Impact Retrieval-Augmented Generation. IIR Florin Cuconasu, Giovanni Trappolini, Federico Siciliano, Simone Filice, Cesare Campagnano, Yoelle Maarek, Nicola Tonellotto, Fabrizio Silvestri
2024	J	`jnl`	Static Pruning in Dense Retrieval using Matrix Decomposition. CoRR Federico Siciliano, Francesca Pezzuti, Nicola Tonellotto, Fabrizio Silvestri
2024	A*	`conf`	The Power of Noise: Redefining Retrieval for RAG Systems. SIGIR Florin Cuconasu, Giovanni Trappolini, Federico Siciliano, Simone Filice, Cesare Campagnano, Yoelle Maarek, Nicola Tonellotto, Fabrizio Silvestri
2024	J	`jnl`	The Power of Noise: Redefining Retrieval for RAG Systems. CoRR Florin Cuconasu, Giovanni Trappolini, Federico Siciliano, Simone Filice, Cesare Campagnano, Yoelle Maarek, Nicola Tonellotto, Fabrizio Silvestri
2024	—	`conf`	Turning on a DIME: Estimating Dimension Importance for Dense Information Retrieval. IIR Guglielmo Faggioli, Nicola Ferro, Raffaele Perego, Nicola Tonellotto
2024	—	`conf`	Two-Step SPLADE: Simple, Efficient and Effective Approximation of SPLADE. ECIR (2) Carlos Lassance, Hervé Déjean, Stéphane Clinchant, Nicola Tonellotto
2024	J	`jnl`	Two-Step SPLADE: Simple, Efficient and Effective Approximation of SPLADE. CoRR Carlos Lassance, Hervé Déjean, Stéphane Clinchant, Nicola Tonellotto
2024	—	`conf`	indxr: A Python Library for Indexing File Lines. ECIR (5) Elias Bassani, Nicola Tonellotto
2023	—	`conf`	A Federated Channel Modeling System using Generative Neural Networks. VTC2023-Spring Saira Bano, Pietro Cassarà, Nicola Tonellotto, Alberto Gotta
2023	J	`jnl`	A Federated Channel Modeling System using Generative Neural Networks. CoRR Saira Bano, Pietro Cassarà, Nicola Tonellotto, Alberto Gotta
2023	A*	`conf`	A Geometric Framework for Query Performance Prediction in Conversational Search. SIGIR Guglielmo Faggioli, Nicola Ferro, Cristina Ioana Muntean, Raffaele Perego, Nicola Tonellotto
2023	—	`conf`	A Spatial Approach to Predict Performance of Conversational Search Systems. IIR Guglielmo Faggioli, Nicola Ferro, Cristina Ioana Muntean, Raffaele Perego, Nicola Tonellotto
2023	A*	`conf`	A Static Pruning Study on Sparse Neural Retrievers. SIGIR Carlos Lassance, Simon Lupart, Hervé Déjean, Stéphane Clinchant, Nicola Tonellotto
2023	J	`jnl`	A Static Pruning Study on Sparse Neural Retrievers. CoRR Carlos Lassance, Simon Lupart, Hervé Déjean, Stéphane Clinchant, Nicola Tonellotto
2023	—	`conf`	A Systematic Mapping Study of Italian Research on Workflows. SC Workshops 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	J	`jnl`	Artificial intelligence of things at the edge: Scalable and efficient distributed learning for massive scenarios. Comput. Commun. Saira Bano, Nicola Tonellotto, Pietro Cassarà, Alberto Gotta
2023	J	`jnl`	ColBERT-PRF: Semantic Pseudo-Relevance Feedback for Dense Passage and Document Retrieval. ACM Trans. Web Xiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis
2023	Misc	`conf`	Energy-Efficient Resource Management for Real-Time Applications in FaaS Edge Computing Platforms. UCC Shahrokh Vahabi, Francesca Righetti, Carlo Vallati, Nicola Tonellotto
2023	A	`conf`	Integrating Item Relevance in Training Loss for Sequential Recommender Systems. RecSys Andrea Bacciu, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri
2023	J	`jnl`	Integrating Item Relevance in Training Loss for Sequential Recommender Systems. CoRR Andrea Bacciu, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri
2023	—	`ed.`	Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023), Pisa, Italy, June 8-9, 2023. IIR Franco Maria Nardini, Nicola Tonellotto, Guglielmo Faggioli, Antonio Ferrara
2023	—	`conf`	RRAML: Reinforced Retrieval Augmented Machine Learning. DP@AI*IA Andrea Bacciu, Florin Cuconasu, Federico Siciliano, Fabrizio Silvestri, Nicola Tonellotto, Giovanni Trappolini
2023	J	`jnl`	RRAML: Reinforced Retrieval Augmented Machine Learning. CoRR Andrea Bacciu, Florin Cuconasu, Federico Siciliano, Fabrizio Silvestri, Nicola Tonellotto, Giovanni Trappolini
2023	J	`jnl`	Report on the 13th Italian Information Retrieval Workshop (IIR 2023). SIGIR Forum Guglielmo Faggioli, Antonio Ferrara, Franco Maria Nardini, Nicola Tonellotto
2023	A*	`conf`	Reproducibility, Replicability, and Insights into Dense Multi-Representation Retrieval Models: from ColBERT to Col. SIGIR Xiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis
2023	B	`conf`	Static Pruning for Multi-Representation Dense Retrieval. DocEng Antonio Acquavia, Craig Macdonald, Nicola Tonellotto
2022	—	`conf`	A Comprehensive Dataset for Modern Learning to Rank Solutions (Abstract). IIR Domenico Dato, Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto
2022	—	`conf`	A Dependency-Aware Utterances Permutation Strategy to Improve Conversational Evaluation. ECIR (1) Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Raffaele Perego, Nicola Tonellotto
2022	—	`conf`	Adaptive Re-Ranking as an Information-Seeking Agent. CIKM Workshops Sean MacAvaney, Nicola Tonellotto, Craig Macdonald
2022	A	`conf`	Adaptive Re-Ranking with a Corpus Graph. CIKM Sean MacAvaney, Nicola Tonellotto, Craig Macdonald
2022	J	`jnl`	Adaptive Re-Ranking with a Corpus Graph. CoRR Sean MacAvaney, Nicola Tonellotto, Craig Macdonald
2022	J	`jnl`	Caching Historical Embeddings in Conversational Search. CoRR Ophir Frieder, Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto
2022	—	`conf`	Context Propagation in Conversational Search Utterances Participation of the CNR Team in CAsT 2022. TREC Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto
2022	J	`jnl`	Design of Fault-Tolerant Distributed Cyber-Physical Systems for Smart Environments. IEEE Embed. Syst. Lett. Luca Cassano, Antonio Miele, Francesco Mione, Nicola Tonellotto, Carlo Vallati
2022	—	`conf`	Drivers Stress Identification in Real-World Driving Tasks. PerCom Workshops Saira Bano, Nicola Tonellotto, Alberto Gotta
2022	A*	`conf`	Faster Learned Sparse Retrieval with Guided Traversal. SIGIR Antonio Mallia, Joel Mackenzie, Torsten Suel, Nicola Tonellotto
2022	J	`jnl`	Faster Learned Sparse Retrieval with Guided Traversal. CoRR Antonio Mallia, Joel Mackenzie, Torsten Suel, Nicola Tonellotto
2022	—	`conf`	FedTCS: Federated Learning with Time-based Client Selection to Optimize Edge Resources. AI6G@WCCI Saira Bano, Nicola Tonellotto, Pietro Cassarà, Alberto Gotta
2022	—	`conf`	Improving Conversational Evaluation via a Dependency-Aware Permutation Strategy. SEBD Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Raffaele Perego, Nicola Tonellotto
2022	—	`conf`	KafkaFed: Two-Tier Federated Learning Communication Architecture for Internet of Vehicles. PerCom Workshops Saira Bano, Nicola Tonellotto, Pietro Cassarà, Alberto Gotta
2022	—	`conf`	Latency-Energy Tradeoffs in Federated Learning on Resource Constrained Edge Computing Systems. AI6G@WCCI Simone Pampaloni, Nicola Tonellotto, Carlo Vallati
2022	J	`jnl`	Lecture Notes on Neural Information Retrieval. CoRR Nicola Tonellotto
2022	A*	`conf`	On the Role of Relevance in Natural Language Processing Tasks. SIGIR Artsiom Sauchuk, James Thorne, Alon Y. Halevy, Nicola Tonellotto, Fabrizio Silvestri
2022	—	`conf`	Pseudo-Relevance Feedback in the Era of Dense Retrieval. IIR Nicola Tonellotto
2022	A*	`conf`	The Istella22 Dataset: Bridging Traditional and Neural Learning to Rank Evaluation. SIGIR Domenico Dato, Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto
2021	J	`jnl`	Adaptive utterance rewriting for conversational search. Inf. Process. Manag. Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Ophir Frieder
2021	—	`conf`	Finding Context through Utterance Dependencies in Search Conversations - Participation of the CNR Team in CAsT 2021. TREC Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto
2021	A*	`conf`	Hierarchical Dependence-aware Evaluation Measures for Conversational Search. SIGIR Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Raffaele Perego, Nicola Tonellotto
2021	A	`conf`	IR From Bag-of-words to BERT and Beyond through Practical Experiments. CIKM Craig Macdonald, Nicola Tonellotto, Sean MacAvaney
2021	A*	`conf`	Learning Passage Impacts for Inverted Indexes. SIGIR Antonio Mallia, Omar Khattab, Torsten Suel, Nicola Tonellotto
2021	J	`jnl`	Learning Passage Impacts for Inverted Indexes. CoRR Antonio Mallia, Omar Khattab, Nicola Tonellotto, Torsten Suel
2021	J	`jnl`	Neural network quantization in federated learning at the edge. Inf. Sci. Nicola Tonellotto, Alberto Gotta, Franco Maria Nardini, Daniele Gadler, Fabrizio Silvestri
2021	A	`conf`	On Approximate Nearest Neighbour Selection for Multi-Stage Dense Retrieval. CIKM Craig Macdonald, Nicola Tonellotto
2021	J	`jnl`	On Approximate Nearest Neighbour Selection for Multi-Stage Dense Retrieval. CoRR Craig Macdonald, Nicola Tonellotto
2021	—	`conf`	On Single and Multiple Representations in Dense Passage Retrieval. IIR Craig Macdonald, Nicola Tonellotto, Iadh Ounis
2021	J	`jnl`	On Single and Multiple Representations in Dense Passage Retrieval. CoRR Craig Macdonald, Nicola Tonellotto, Iadh Ounis
2021	Misc	`conf`	Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval. ICTIR Xiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis
2021	J	`jnl`	Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval. CoRR Xiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis
2021	A	`conf`	PyTerrier: Declarative Experimentation in Python from BM25 to Dense Retrieval. CIKM Craig Macdonald, Nicola Tonellotto, Sean MacAvaney, Iadh Ounis
2021	A	`conf`	Query Embedding Pruning for Dense Retrieval. CIKM Nicola Tonellotto, Craig Macdonald
2021	J	`jnl`	Query Embedding Pruning for Dense Retrieval. CoRR Nicola Tonellotto, Craig Macdonald
2021	J	`jnl`	Weighting Passages Enhances Accuracy. ACM Trans. Inf. Syst. Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Ophir Frieder
2020	Misc	`conf`	Declarative Experimentation in Information Retrieval using PyTerrier. ICTIR Craig Macdonald, Nicola Tonellotto
2020	J	`jnl`	Declarative Experimentation in Information Retrieval using PyTerrier. CoRR Craig Macdonald, Nicola Tonellotto
2020	A*	`conf`	Efficient Document Re-Ranking for Transformers by Precomputing Term Representations. SIGIR Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
2020	J	`jnl`	Efficient Document Re-Ranking for Transformers by Precomputing Term Representations. CoRR Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
2020	A*	`conf`	Expansion via Prediction of Importance with Contextualization. SIGIR Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
2020	J	`jnl`	Expansion via Prediction of Importance with Contextualization. CoRR Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
2020	—	`conf`	Leveraging Cloud Infrastructures for Teaching Advanced Computer Engineering Classes - Experiences at the University of Pisa. HELMeTO Antonio Cisternino, Pietro Ducange, Nicola Tonellotto, Carlo Vallati
2020	J	`jnl`	The Internet of Ships. ERCIM News Michele Martelli, Pietro Cassarà, Antonio Virdis, Nicola Tonellotto
2020	A*	`conf`	Topic Propagation in Conversational Search. SIGIR Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Ophir Frieder
2020	J	`jnl`	Topic Propagation in Conversational Search. CoRR Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Ophir Frieder
2020	—	`conf`	Topical Enrichment of Conversational Search Utterances: Participation of the HPCLab-CNR Team in CAsT 2020. TREC Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto
2020	J	`jnl`	Topical Result Caching in Web Search Engines. CoRR Ida Mele, Nicola Tonellotto, Ophir Frieder, Raffaele Perego
2020	J	`jnl`	Topical result caching in web search engines. Inf. Process. Manag. Ida Mele, Nicola Tonellotto, Ophir Frieder, Raffaele Perego
2020	A*	`conf`	Training Curricula for Open Domain Answer Re-Ranking. SIGIR Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
2020	J	`jnl`	Training Curricula for Open Domain Answer Re-Ranking. CoRR Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
2020	J	`jnl`	Using an Inverted Index Synopsis for Query Latency and Performance Prediction. ACM Trans. Inf. Syst. Nicola Tonellotto, Craig Macdonald
2019	A*	`conf`	Enhanced News Retrieval: Passages Lead the Way! SIGIR Matteo Catena, Ophir Frieder, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto
2019	A*	`conf`	Multiple Query Processing via Logic Function Factoring. SIGIR Matteo Catena, Nicola Tonellotto
2019	J	`jnl`	Parallel Traversal of Large Ensembles of Decision Trees. IEEE Trans. Parallel Distributed Syst. Francesco Lettich, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini
2018	J	`jnl`	Dataset Popularity Prediction for Caching of CMS Big Data. J. Grid Comput. Marco Meoni, Raffaele Perego, Nicola Tonellotto
2018	A	`conf`	Efficient Energy Management in Distributed Web Search. CIKM Matteo Catena, Ophir Frieder, Nicola Tonellotto
2018	A*	`conf`	Efficient Query Processing Infrastructures: A half-day tutorial at SIGIR 2018. SIGIR Nicola Tonellotto, Craig Macdonald
2018	J	`jnl`	Efficient Query Processing for Scalable Web Search. Found. Trends Inf. Retr. Nicola Tonellotto, Craig Macdonald, Iadh Ounis
2018	B	`conf`	Performance Analysis of WebRTC-Based Video Streaming Over Power Constrained Platforms. GLOBECOM Manlio Bacco, Matteo Catena, Tomaso de Cola, Alberto Gotta, Nicola Tonellotto
2018	—	`ed.`	Proceedings of the 9th Italian Information Retrieval Workshop, Rome, Italy, May, 28-30, 2018. IIR Nicola Tonellotto, Luca Becchetti, Marko Tkalcic
2017	A*	`conf`	Efficient & Effective Selective Query Rewriting with Efficiency Predictions. SIGIR Craig Macdonald, Nicola Tonellotto, Iadh Ounis
2017	J	`jnl`	Energy-Efficient Query Processing in Web Search Engines. IEEE Trans. Knowl. Data Eng. Matteo Catena, Nicola Tonellotto
2017	A*	`conf`	Faster BlockMax WAND with Variable-sized Blocks. SIGIR Antonio Mallia, Giuseppe Ottaviano, Elia Porciani, Nicola Tonellotto, Rossano Venturini
2017	—	`conf`	Multicore/Manycore Parallel Traversal of Large Forests of Regression Trees. HPCS Francesco Lettich, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini
2017	—	`conf`	Popularity-Based Caching of CMS Datasets. PARCO Marco Meoni, Raffaele Perego, Nicola Tonellotto
2017	—	`conf`	QuickScorer: Efficient Traversal of Large Ensembles of Decision Trees. ECML/PKDD (3) Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini
2017	—	`conf`	Recent Advances in Energy Efficient Query Processing. IIR Matteo Catena, Nicola Tonellotto
2017	Misc	`conf`	Upper Bound Approximation for BlockMaxWand. ICTIR Craig Macdonald, Nicola Tonellotto
2016	A*	`conf`	Exploiting CPU SIMD Extensions to Speed-up Document Scoring with Tree Ensembles. SIGIR Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini
2016	A*	`conf`	Exploiting Green Energy to Reduce the Operational Costs of Multi-Center Web Search Engines. WWW Roi Blanco, Matteo Catena, Nicola Tonellotto
2016	J	`jnl`	Fast Ranking with Additive Ensembles of Oblivious and Non-Oblivious Regression Trees. ACM Trans. Inf. Syst. Domenico Dato, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini
2016	J	`jnl`	Fast Traversal of Large Ensembles of Regression Trees. ERCIM News Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Salvatore Orlando, Rossano Venturini
2016	—	`conf`	GPU-based Parallelization of QuickScorer to Speed-up Document Ranking with Tree Ensembles. IIR Francesco Lettich, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini
2016	J	`jnl`	Quality versus efficiency in document scoring with learning-to-rank models. Inf. Process. Manag. Gabriele Capannini, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto
2016	—	`conf`	Ranking Documents Effciently with QuickScorer. SEBD Domenico Dato, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini
2016	—	`conf`	Speeding-up Document Scoring with Tree Ensembles using CPU SIMD Extensions. IIR Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini
2015	—	`conf`	A Study on Query Energy Consumption in Web Search Engines. IIR Matteo Catena, Nicola Tonellotto
2015	—	`conf`	Entity Linking on Philosophical Documents. IIR Diego Ceccarelli, Alberto De Francesco, Raffaele Perego, Marco Segala, Nicola Tonellotto, Salvatore Trani
2015	A	`conf`	LSDS-IR'15: 2015 Workshop on Large-Scale and Distributed Systems for Information Retrieval. CIKM Ismail Sengor Altingovde, Berkant Barla Cambazoglu, Nicola Tonellotto
2015	A*	`conf`	Load-sensitive CPU Power Management for Web Search Engines. SIGIR Matteo Catena, Craig Macdonald, Nicola Tonellotto
2015	J	`jnl`	MIDAS: a cloud platform for SOA testing as a service. Int. J. High Perform. Comput. Netw. Alberto De Francesco, Claudia Di Napoli, Maurizio Giordano, Giuseppe Ottaviano, Raffaele Perego, Nicola Tonellotto
2015	A	`conf`	Optimal Space-time Tradeoffs for Inverted Indexes. WSDM Giuseppe Ottaviano, Nicola Tonellotto, Rossano Venturini
2015	—	`ed.`	Proceedings of the 2015 Workshop on Large-Scale and Distributed System for Information Retrieval, LSDS-IR 2015, Melbourne, Australia, October 23, 2015 LSDS-IR@CIKM Ismail Sengor Altingovde, Berkant Barla Cambazoglu, Nicola Tonellotto
2015	J	`jnl`	Queuing Theory-based Latency/Power Tradeoff Models for Replicated Search Engines. J. Univers. Comput. Sci. Ana Freire, Craig Macdonald, Nicola Tonellotto, Iadh Ounis, Fidel Cacheda
2015	—	`conf`	QuickRank: a C++ Suite of Learning to Rank Algorithms. IIR Gabriele Capannini, Domenico Dato, Claudio Lucchese, Monica Mori, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto
2015	A*	`conf`	QuickScorer: A Fast Algorithm to Rank Documents with Additive Ensembles of Regression Trees. SIGIR Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini
2015	A*	`conf`	Speeding up Document Ranking with Rank-based Features. SIGIR Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto
2015	A	`conf`	The MIDAS Cloud Platform for Testing SOA Applications. ICST 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
2014	—	`conf`	A SOA Testing Platform on the Cloud: The MIDAS Experience. INCoS Alberto De Francesco, Claudia Di Napoli, Maurizio Giordano, Giuseppe Ottaviano, Raffaele Perego, Nicola Tonellotto
2014	A	`conf`	A self-adapting latency/power tradeoff model for replicated search engines. WSDM Ana Freire, Craig Macdonald, Nicola Tonellotto, Iadh Ounis, Fidel Cacheda
2014	A	`conf`	Workshop on large-scale and distributed systems for information retrieval (LSDS-IR 2014). WSDM Ismail Sengör Altingövde, Berkant Barla Cambazoglu, Craig Macdonald, Nicola Tonellotto
2013	A	`conf`	Efficient and effective retrieval using selective pruning. WSDM Nicola Tonellotto, Craig Macdonald, Iadh Ounis
2013	A	`conf`	Hybrid Query Scheduling for a Replicated Search Engine. ECIR Ana Freire, Craig Macdonald, Nicola Tonellotto, Iadh Ounis, Fidel Cacheda
2013	A	`conf`	Load-sensitive selective pruning for distributed search. CIKM Daniele Broccolo, Craig Macdonald, Salvatore Orlando, Iadh Ounis, Raffaele Perego, Fabrizio Silvestri, Nicola Tonellotto
2013	—	`conf`	Performance Evaluation of SPDY over High Latency Satellite Channels. PSATS Andrea Cardaci, Luca Caviglione, Alberto Gotta, Nicola Tonellotto
2013	C	`conf`	Query Processing in Highly-Loaded Search Engines. SPIRE Daniele Broccolo, Craig Macdonald, Salvatore Orlando, Iadh Ounis, Raffaele Perego, Fabrizio Silvestri, Nicola Tonellotto
2013	A	`conf`	Workshop on large-scale and distributed systems for information retrieval (LSDS-IR 2013). WSDM Nicola Tonellotto, Craig Macdonald, Ismail Sengör Altingövde
2012	A*	`conf`	Effect of dynamic pruning safety on learning to rank effectiveness. SIGIR Craig Macdonald, Nicola Tonellotto, Iadh Ounis
2012	A*	`conf`	Learning to predict response times for online query scheduling. SIGIR Craig Macdonald, Nicola Tonellotto, Iadh Ounis
2012	—	`conf`	On Cloud-Based Multisource Reliable Multicast Transport in Broadband Multimedia Satellite Networks. PSATS Alberto Gotta, Nicola Tonellotto, Emnet T. Abdo
2012	A*	`conf`	Scheduling queries across replicas. SIGIR Ana Freire, Craig Macdonald, Nicola Tonellotto, Iadh Ounis, Fidel Cacheda
2011	A*	`conf`	Effect of different docid orderings on dynamic pruning retrieval strategies. SIGIR Nicola Tonellotto, Craig Macdonald, Iadh Ounis
2011	Misc	`conf`	On Upper Bounds for Dynamic Pruning. ICTIR Craig Macdonald, Nicola Tonellotto, Iadh Ounis
2011	A	`conf`	Representing Document Lengths with Identifiers. ECIR Raffaele Perego, Fabrizio Silvestri, Nicola Tonellotto
2011	J	`jnl`	Upper-bound approximations for dynamic pruning. ACM Trans. Inf. Syst. Craig Macdonald, Iadh Ounis, Nicola Tonellotto
2010	—	`conf`	Adaptive Instantiation of Service Workflows Using a Chemical Approach. Euro-Par Workshops Claudia Di Napoli, Maurizio Giordano, Zsolt Németh, Nicola Tonellotto
2010	—	`conf`	Efficient Dynamic Pruning with Proximity Support. LSDS-IR@SIGIR Nicola Tonellotto, Craig Macdonald, Iadh Ounis
2010	J	`jnl`	Modeling Stream Communications in Component-based Applications. Scalable Comput. Pract. Exp. Marco Danelutto, Domenico Laforenza, Nicola Tonellotto, Marco Vanneschi, Corrado Zoccolo
2010	—	`conf`	Using chemical reactions to model service composition. SOAR@ICAC Claudia Di Napoli, Maurizio Giordano, Zsolt Németh, Nicola Tonellotto
2008	J	`jnl`	A Launch-time Scheduling Heuristics for Parallel Applications on Wide Area Grids. J. Grid Comput. Ranieri Baraglia, Renato Ferrini, Nicola Tonellotto, Laura Ricci, Ramin Yahyapour
2008	C	`conf`	Behavioural Skeletons in GCM: Autonomic Management of Grid Components. PDP Marco Aldinucci, Sonia Campa, Marco Danelutto, Marco Vanneschi, Peter Kilpatrick, Patrizio Dazzi, Domenico Laforenza, Nicola Tonellotto
2008	—	`—`	Component performance modeling and scheduling strategies on grids. Nicola Tonellotto
2008	C	`conf`	QoS-constrained List Scheduling Heuristics for Parallel Applications on Grids. PDP Nicola Tonellotto, Ranieri Baraglia, Renato Ferrini, Laura Ricci, Ramin Yahyapour
2007	C	`conf`	A Performance Model for Stream-based Computations. PDP Marco Danelutto, Marco Vanneschi, Corrado Zoccolo, Domenico Laforenza, Nicola Tonellotto
2007	—	`conf`	Behavioural Skeletons for Component Autonomic Management on Grids. CoreGRID Workshop - Making Grids Work Marco Aldinucci, Sonia Campa, Marco Danelutto, Patrizio Dazzi, Domenico Laforenza, Nicola Tonellotto, Peter Kilpatrick
2006	—	`conf`	A New Approach on Network Resources Management in Grids. CoreGRID Integration Workshop Ranieri Baraglia, Domenico Laforenza, Renato Ferrini, Nicola Tonellotto, Davide Adami, Stefano Giordano, Ramin Yahyapour
2006	—	`conf`	Design and Implementation of a Grid Network-Aware Resource Broker. Parallel and Distributed Computing and Networks Davide Adami, Stefano Giordano, Matteo Repeti, Massimo Coppola, Domenico Laforenza, Nicola Tonellotto
2006	—	`conf`	Execution Support of High Performance Heterogeneous Component-Based Applications on the Grid. Euro-Par Workshops Massimo Coppola, Marco Danelutto, Nicola Tonellotto, Marco Vanneschi, Corrado Zoccolo
2005	—	`conf`	A Grid Information Service Based on Peer-to-Peer. Euro-Par Diego Puppin, Stefano Moncelli, Ranieri Baraglia, Nicola Tonellotto, Fabrizio Silvestri
2005	—	`conf`	How to Run Scientific Applications over Web Services. ICPP Workshops Diego Puppin, Nicola Tonellotto, Domenico Laforenza
2004	—	`conf`	HPC Application Execution on Grids. Future Generation Grids Marco Danelutto, Marco Vanneschi, Corrado Zoccolo, Nicola Tonellotto, Salvatore Orlando, Ranieri Baraglia, Tiziano Fagni, Domenico Laforenza, Alessandro Paccosi
2004	—	`conf`	Using Web Services to Run Distributed Numerical Applications. PVM/MPI Diego Puppin, Nicola Tonellotto, Domenico Laforenza
2003	Misc	`conf`	A Tool to Execute ASSIST Applications on Globus-Based Grids. PPAM Ranieri Baraglia, Domenico Laforenza, Nicola Tonellotto