NARDINI, FRANCO MARIA
NARDINI, FRANCO MARIA
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Bridging dense and sparse maximum inner product search
2024 Bruch, S.; Nardini, F. M.; Ingber, A.; Liberty, E.
Learning bivariate scoring functions for ranking
2024 Nardini, F. M.; Trani, R.; Venturini, R.
An approximate algorithm for maximum inner product search over streaming sparse vectors
2023 Bruch S.; Nardini F.M.; Ingber A.; Liberty E.
An optimal algorithm for finding champions in tournament graphs
2023 Beretta, L; Nardini, Fm; Trani, R; Venturini, R
Early exit strategies for learning-to-rank cascades
2023 Busolin, F; Lucchese, C; Nardini, Fm; Orlando, S; Perego, R; Trani, S
Efficient and effective tree-based and neural learning to rank
2023 Bruch S.; Lucchese C.; Nardini F.M.
Caching historical embeddings in conversational search
2022 Frieder, O.; Mele, I.; Muntean, C.; Nardini, F. M.; Perego, R.; Tonellotto, N.
Distilled neural networks for efficient learning to rank
2022 Nardini F.M.; Rulli C.; Trani S.; Venturini R.
Dynamic hard pruning of Neural Networks at the edge of the internet
2022 Valerio L.; Nardini F.M.; Passarella A.; Perego R.
Report on the 1st Workshop on Reaching Efficiency in Neural Information Retrieval (ReNeuIR 2022) at SIGIR 2022
2022 Bruch S.; Lucchese C.; Nardini F.M.
Adaptive utterance rewriting for conversational search
2021 Mele I.; Muntean C.I.; Nardini F.M.; Perego R.; Tonellotto N.; Frieder O.
Efficient traversal of decision tree ensembles with FPGAs
2021 Molina, R; Loor, F; Gilcosta, V; Nardini, Fm; Perego, R; Trani, S
Fast filtering of search results sorted by attribute
2021 Nardini F.M.; Trani R.; Venturini R.
Neural network quantization in federated learning at the edge
2021 Tonellotto N.; Gotta A.; Nardini F.M.; Gadler D.; Silvestri F.
A novel approach to define the local region of dynamic selection techniques in imbalanced credit scoring problems
2020 Melo Junior, L.; Nardini, F. M.; Renso, C.; Trani, R.; Macedo, J. A.
Leveraging feature selection to detect potential tax fraudsters
2020 Matos, T; Macedo, Ja; Lettich, F; Monteiro, Jm; Renso, C; Perego, R; Nardini, Fm
RankEval: Evaluation and investigation of ranking models
2020 Lucchese, C; Muntean, Ci; Nardini, F M; Perego, R; Trani, S
Weighting passages enhances accuracy
2020 Muntean C.I.; Nardini F.M.; Perego R.; Tonellotto N.; Frieder O.
Parallel Traversal of Large Ensembles of Decision Trees
2019 Lettich, F; Lucchese, C; Nardini, Fm; Orlando, S; Perego, R; Tonellotto, N; Venturini, R
Speed prediction in large and dynamic traffic sensor networks
2019 Magalhaes, Rp; Lettich, F; Macedo, Ja; Nardini, Fm; Perego, R; Renso, C; Trani, R
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Bridging dense and sparse maximum inner product search | 1-gen-2024 | Bruch, S.; Nardini, F. M.; Ingber, A.; Liberty, E. | |
| Learning bivariate scoring functions for ranking | 1-gen-2024 | Nardini, F. M.; Trani, R.; Venturini, R. | |
| An approximate algorithm for maximum inner product search over streaming sparse vectors | 1-gen-2023 | Bruch S.; Nardini F.M.; Ingber A.; Liberty E. | |
| An optimal algorithm for finding champions in tournament graphs | 1-gen-2023 | Beretta, L; Nardini, Fm; Trani, R; Venturini, R | |
| Early exit strategies for learning-to-rank cascades | 1-gen-2023 | Busolin, F; Lucchese, C; Nardini, Fm; Orlando, S; Perego, R; Trani, S | |
| Efficient and effective tree-based and neural learning to rank | 1-gen-2023 | Bruch S.; Lucchese C.; Nardini F.M. | |
| Caching historical embeddings in conversational search | 1-gen-2022 | Frieder, O.; Mele, I.; Muntean, C.; Nardini, F. M.; Perego, R.; Tonellotto, N. | |
| Distilled neural networks for efficient learning to rank | 1-gen-2022 | Nardini F.M.; Rulli C.; Trani S.; Venturini R. | |
| Dynamic hard pruning of Neural Networks at the edge of the internet | 1-gen-2022 | Valerio L.; Nardini F.M.; Passarella A.; Perego R. | |
| Report on the 1st Workshop on Reaching Efficiency in Neural Information Retrieval (ReNeuIR 2022) at SIGIR 2022 | 1-gen-2022 | Bruch S.; Lucchese C.; Nardini F.M. | |
| Adaptive utterance rewriting for conversational search | 1-gen-2021 | Mele I.; Muntean C.I.; Nardini F.M.; Perego R.; Tonellotto N.; Frieder O. | |
| Efficient traversal of decision tree ensembles with FPGAs | 1-gen-2021 | Molina, R; Loor, F; Gilcosta, V; Nardini, Fm; Perego, R; Trani, S | |
| Fast filtering of search results sorted by attribute | 1-gen-2021 | Nardini F.M.; Trani R.; Venturini R. | |
| Neural network quantization in federated learning at the edge | 1-gen-2021 | Tonellotto N.; Gotta A.; Nardini F.M.; Gadler D.; Silvestri F. | |
| A novel approach to define the local region of dynamic selection techniques in imbalanced credit scoring problems | 1-gen-2020 | Melo Junior, L.; Nardini, F. M.; Renso, C.; Trani, R.; Macedo, J. A. | |
| Leveraging feature selection to detect potential tax fraudsters | 1-gen-2020 | Matos, T; Macedo, Ja; Lettich, F; Monteiro, Jm; Renso, C; Perego, R; Nardini, Fm | |
| RankEval: Evaluation and investigation of ranking models | 1-gen-2020 | Lucchese, C; Muntean, Ci; Nardini, F M; Perego, R; Trani, S | |
| Weighting passages enhances accuracy | 1-gen-2020 | Muntean C.I.; Nardini F.M.; Perego R.; Tonellotto N.; Frieder O. | |
| Parallel Traversal of Large Ensembles of Decision Trees | 1-gen-2019 | Lettich, F; Lucchese, C; Nardini, Fm; Orlando, S; Perego, R; Tonellotto, N; Venturini, R | |
| Speed prediction in large and dynamic traffic sensor networks | 1-gen-2019 | Magalhaes, Rp; Lettich, F; Macedo, Ja; Nardini, Fm; Perego, R; Renso, C; Trani, R |