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- Nicola Tonellotto
University of Pisa, Department of Information Engineering, Italy
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Publication search results
found 171 matches
- 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): 57:1-57:27 (2024) - Elias Bassani, Nicola Tonellotto, Gabriella Pasi:
Personalized Query Expansion with Contextual Word Embeddings. ACM Trans. Inf. Syst. 42(2): 61:1-61:35 (2024) - Elias Bassani, Nicola Tonellotto:
indxr: A Python Library for Indexing File Lines. ECIR (5) 2024: 251-255 - Pranav Kasela, Gabriella Pasi, Raffaele Perego, Nicola Tonellotto:
DESIRE-ME: Domain-Enhanced Supervised Information Retrieval Using Mixture-of-Experts. ECIR (2) 2024: 111-125 - Carlos Lassance, Hervé Déjean, Stéphane Clinchant, Nicola Tonellotto:
Two-Step SPLADE: Simple, Efficient and Effective Approximation of SPLADE. ECIR (2) 2024: 349-363 - Jacopo Cecchetti, Nicola Tonellotto, Raffaele Perego:
Learning to Rank for Non Independent and Identically Distributed Datasets. ICTIR 2024: 71-79 - Francesca Righetti, Nicola Tonellotto, Nicola Barsanti, Carlo Vallati:
Energy-efficient Orchestration Strategies for Function-as-a-Service Platforms. PerCom Workshops 2024: 290-295 - Aleksandr Vladimirovich Petrov, Craig Macdonald, Nicola Tonellotto:
Efficient Inference of Sub-Item Id-based Sequential Recommendation Models with Millions of Items. RecSys 2024: 912-917 - 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: 719-729 - Guglielmo Faggioli, Nicola Ferro, Raffaele Perego, Nicola Tonellotto:
Dimension Importance Estimation for Dense Information Retrieval. SIGIR 2024: 1318-1328 - Sean MacAvaney, Nicola Tonellotto:
A Reproducibility Study of PLAID. SIGIR 2024: 1411-1419 - Antonio Mallia, Torsten Suel, Nicola Tonellotto:
Faster Learned Sparse Retrieval with Block-Max Pruning. SIGIR 2024: 2411-2415 - Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis:
Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14608, Springer 2024, ISBN 978-3-031-56026-2 [contents] - Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis:
Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14609, Springer 2024, ISBN 978-3-031-56059-0 [contents] - Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis:
Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part III. Lecture Notes in Computer Science 14610, Springer 2024, ISBN 978-3-031-56062-0 [contents] - Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis:
Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 14611, Springer 2024, ISBN 978-3-031-56065-1 [contents] - Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis:
Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part V. Lecture Notes in Computer Science 14612, Springer 2024, ISBN 978-3-031-56068-2 [contents] - Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis:
Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 14613, Springer 2024, ISBN 978-3-031-56071-2 [contents] - 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 abs/2401.14887 (2024) - Pranav Kasela, Gabriella Pasi, Raffaele Perego, Nicola Tonellotto:
DESIRE-ME: Domain-Enhanced Supervised Information REtrieval using Mixture-of-Experts. CoRR abs/2403.13468 (2024) - Carlos Lassance, Hervé Déjean, Stéphane Clinchant, Nicola Tonellotto:
Two-Step SPLADE: Simple, Efficient and Effective Approximation of SPLADE. CoRR abs/2404.13357 (2024) - Sean MacAvaney, Nicola Tonellotto:
A Reproducibility Study of PLAID. CoRR abs/2404.14989 (2024) - Antonio Mallia, Torsten Suel, Nicola Tonellotto:
Faster Learned Sparse Retrieval with Block-Max Pruning. CoRR abs/2405.01117 (2024) - Andrea Bacciu, Enrico Palumbo, Andreas Damianou, Nicola Tonellotto, Fabrizio Silvestri:
Generating Query Recommendations via LLMs. CoRR abs/2405.19749 (2024) - Andrea Giuseppe Di Francesco, Christian Giannetti, Nicola Tonellotto, Fabrizio Silvestri:
Graph Neural Re-Ranking via Corpus Graph. CoRR abs/2406.11720 (2024) - Florin Cuconasu, Giovanni Trappolini, Nicola Tonellotto, Fabrizio Silvestri:
A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG Systems. CoRR abs/2406.14972 (2024) - Filippo Betello, Antonio Purificato, Federico Siciliano, Giovanni Trappolini, Andrea Bacciu, Nicola Tonellotto, Fabrizio Silvestri:
A Reproducible Analysis of Sequential Recommender Systems. CoRR abs/2408.03873 (2024) - Aleksandr V. Petrov, Craig Macdonald, Nicola Tonellotto:
Efficient Inference of Sub-Item Id-based Sequential Recommendation Models with Millions of Items. CoRR abs/2408.09992 (2024) - 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: 45-57 (2023) - Guglielmo Faggioli, Antonio Ferrara, Franco Maria Nardini, Nicola Tonellotto:
Report on the 13th Italian Information Retrieval Workshop (IIR 2023). SIGIR Forum 57(2): 8:1-8:12 (2023)
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