TONELLOTTO, NICOLA Statistiche
TONELLOTTO, NICOLA
DIPARTIMENTO DI INGEGNERIA DELL'INFORMAZIONE
A Reproducibility Study of PLAID
2024-01-01 Macavaney, S.; Tonellotto, N.
DESIRE-ME: Domain-Enhanced Supervised Information Retrieval Using Mixture-of-Experts
2024-01-01 Kasela, P.; Pasi, G.; Perego, R.; Tonellotto, N.
Dimension Importance Estimation for Dense Information Retrieval
2024-01-01 Faggioli, G.; Ferro, N.; Perego, R.; Tonellotto, N.
Efficient Inference of Sub-Item Id-based Sequential Recommendation Models with Millions of Items
2024-01-01 Vladimirovich Petrov, Aleksandr; Macdonald, Craig; Tonellotto, Nicola
Energy-efficient Orchestration Strategies for Function-as-a-Service Platforms
2024-01-01 Righetti, Francesca; Tonellotto, Nicola; Barsanti, Nicola; Vallati, Carlo
Faster Learned Sparse Retrieval with Block-Max Pruning
2024-01-01 Mallia, A.; Suel, T.; Tonellotto, N.
FedCMD: A Federated Cross-modal Knowledge Distillation for Drivers’ Emotion Recognition
2024-01-01 Bano, Saira; Tonellotto, Nicola; Cassarà, Pietro; Gotta, Alberto
indxr: A Python Library for Indexing File Lines
2024-01-01 Bassani, Elias; Tonellotto, Nicola
Learning to Rank for Non Independent and Identically Distributed Datasets
2024-01-01 Cecchetti, J.; Tonellotto, N.; Perego, R.
The Power of Noise: Redefining Retrieval for RAG Systems
2024-01-01 Cuconasu, F.; Trappolini, G.; Siciliano, F.; Filice, S.; Campagnano, C.; Maarek, Y.; Tonellotto, N.; Silvestri, F.
Two-Step SPLADE: Simple, Efficient and Effective Approximation of SPLADE
2024-01-01 Lassance, Carlos; Dejean, Hervé; Clinchant, Stéphane; Tonellotto, Nicola
A Federated Channel Modeling System using Generative Neural Networks
2023-01-01 Bano, S.; Cassara, P.; Tonellotto, N.; Gotta, A.
A Geometric Framework for Query Performance Prediction in Conversational Search
2023-01-01 Faggioli, G.; Ferro, N.; Muntean, C. I.; Perego, R.; Tonellotto, N.
A Spatial Approach to Predict Performance of Conversational Search Systems
2023-01-01 Faggioli, G.; Ferro, N.; Muntean, C.; Perego, R.; Tonellotto, N.
A Static Pruning Study on Sparse Neural Retrievers
2023-01-01 Lassance, C.; Lupart, S.; Dejean, H.; Clinchant, S.; Tonellotto, N.
A Systematic Mapping Study of Italian Research on Workflows
2023-01-01 Aldinucci, M.; Baralis, E. M.; Cardellini, V.; Colonnelli, I.; Danelutto, M.; Decherchi, S.; Di Modica, G.; Ferrucci, L.; Gribaudo, M.; Iannone, F.; Lapegna, M.; Medic, D.; Muscianisi, G.; Righetti, F.; Sciacca, E.; Tonellotto, N.; Tortonesi, M.; Trunfio, P.; Vardanega, T.
An Intelligent system for the categorization of question time official documents of the Italian Chamber of Deputies
2023-01-01 Cavalieri, A.; Ducange, P.; Fabi, S.; Russo, F.; Tonellotto, N.
Artificial intelligence of things at the edge: Scalable and efficient distributed learning for massive scenarios
2023-01-01 Bano, S.; Tonellotto, N.; Cassara, P.; Gotta, A.
CACHING HISTORICAL EMBEDDINGS IN CONVERSATIONAL SEARCH
2023-01-01 Frieder, Ophir; Mele, Ida; Muntean, Christina-loana; Maria Nardini, Franco; Perego, Raffaele; Tonellotto, Nicola
ColBERT-PRF: Semantic Pseudo-Relevance Feedback for Dense Passage and Document Retrieval
2023-01-01 Wang, X.; Macdonald, C.; Tonellotto, N.; Ounis, I.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Reproducibility Study of PLAID | 1-gen-2024 | Macavaney, S.; Tonellotto, N. | |
| DESIRE-ME: Domain-Enhanced Supervised Information Retrieval Using Mixture-of-Experts | 1-gen-2024 | Kasela, P.; Pasi, G.; Perego, R.; Tonellotto, N. | |
| Dimension Importance Estimation for Dense Information Retrieval | 1-gen-2024 | Faggioli, G.; Ferro, N.; Perego, R.; Tonellotto, N. | |
| Efficient Inference of Sub-Item Id-based Sequential Recommendation Models with Millions of Items | 1-gen-2024 | Vladimirovich Petrov, Aleksandr; Macdonald, Craig; Tonellotto, Nicola | |
| Energy-efficient Orchestration Strategies for Function-as-a-Service Platforms | 1-gen-2024 | Righetti, Francesca; Tonellotto, Nicola; Barsanti, Nicola; Vallati, Carlo | |
| Faster Learned Sparse Retrieval with Block-Max Pruning | 1-gen-2024 | Mallia, A.; Suel, T.; Tonellotto, N. | |
| FedCMD: A Federated Cross-modal Knowledge Distillation for Drivers’ Emotion Recognition | 1-gen-2024 | Bano, Saira; Tonellotto, Nicola; Cassarà, Pietro; Gotta, Alberto | |
| indxr: A Python Library for Indexing File Lines | 1-gen-2024 | Bassani, Elias; Tonellotto, Nicola | |
| Learning to Rank for Non Independent and Identically Distributed Datasets | 1-gen-2024 | Cecchetti, J.; Tonellotto, N.; Perego, R. | |
| The Power of Noise: Redefining Retrieval for RAG Systems | 1-gen-2024 | Cuconasu, F.; Trappolini, G.; Siciliano, F.; Filice, S.; Campagnano, C.; Maarek, Y.; Tonellotto, N.; Silvestri, F. | |
| Two-Step SPLADE: Simple, Efficient and Effective Approximation of SPLADE | 1-gen-2024 | Lassance, Carlos; Dejean, Hervé; Clinchant, Stéphane; Tonellotto, Nicola | |
| A Federated Channel Modeling System using Generative Neural Networks | 1-gen-2023 | Bano, S.; Cassara, P.; Tonellotto, N.; Gotta, A. | |
| A Geometric Framework for Query Performance Prediction in Conversational Search | 1-gen-2023 | Faggioli, G.; Ferro, N.; Muntean, C. I.; Perego, R.; Tonellotto, N. | |
| A Spatial Approach to Predict Performance of Conversational Search Systems | 1-gen-2023 | Faggioli, G.; Ferro, N.; Muntean, C.; Perego, R.; Tonellotto, N. | |
| A Static Pruning Study on Sparse Neural Retrievers | 1-gen-2023 | Lassance, C.; Lupart, S.; Dejean, H.; Clinchant, S.; Tonellotto, N. | |
| A Systematic Mapping Study of Italian Research on Workflows | 1-gen-2023 | Aldinucci, M.; Baralis, E. M.; Cardellini, V.; Colonnelli, I.; Danelutto, M.; Decherchi, S.; Di Modica, G.; Ferrucci, L.; Gribaudo, M.; Iannone, F.; Lapegna, M.; Medic, D.; Muscianisi, G.; Righetti, F.; Sciacca, E.; Tonellotto, N.; Tortonesi, M.; Trunfio, P.; Vardanega, T. | |
| An Intelligent system for the categorization of question time official documents of the Italian Chamber of Deputies | 1-gen-2023 | Cavalieri, A.; Ducange, P.; Fabi, S.; Russo, F.; Tonellotto, N. | |
| Artificial intelligence of things at the edge: Scalable and efficient distributed learning for massive scenarios | 1-gen-2023 | Bano, S.; Tonellotto, N.; Cassara, P.; Gotta, A. | |
| CACHING HISTORICAL EMBEDDINGS IN CONVERSATIONAL SEARCH | 1-gen-2023 | Frieder, Ophir; Mele, Ida; Muntean, Christina-loana; Maria Nardini, Franco; Perego, Raffaele; Tonellotto, Nicola | |
| ColBERT-PRF: Semantic Pseudo-Relevance Feedback for Dense Passage and Document Retrieval | 1-gen-2023 | Wang, X.; Macdonald, C.; Tonellotto, N.; Ounis, I. |