VENERI, ALBERTO
VENERI, ALBERTO
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Explainable, effective, and efficient learning-to-rank models using ILMART
2025 Lucchese, C.; Nardini, F. M.; Orlando, S.; Perego, R.; Veneri, A.
On the application of a common theoretical explainability framework in information retrieval
2024 Albarelli, A.; Lucchese, C.; Rizzo, M.; Veneri, A.
Software systems compliance with the AI Act: lessons learned from an international challenge
2024 Scantamburlo, T.; Falcarin, P.; Veneri, A.; Fabris, A.; Gallese, C.; Billa, V.; Rotolo, F.; Marcuzzi, F.
A theoretical framework for AI models explainability with application in biomedicine
2023 Rizzo, M; Veneri, A; Albarelli, A; Lucchese, C; Nobile, M; Conati, C
Can embeddings analysis explain large language model ranking?
2023 Lucchese, C; Minello, G; Nardini, Fm; Orlando, S; Perego, R; Veneri, A
Explaining learning to rank methods to improve them
2023 Veneri, A
GAM Forest explanation
2023 Lucchese, C; Orlando, S; Perego, R; Veneri, A
ILMART: interpretable ranking with constrained LambdaMART
2022 Lucchese C.; Nardini F.M.; Orlando S.; Perego R.; Veneri A.
Interpretable ranking using LambdaMART (Abstract)
2022 Lucchese, C; Nardini, Fm; Orlando, S; Perego, R; Veneri, A
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Explainable, effective, and efficient learning-to-rank models using ILMART | 1-gen-2025 | Lucchese, C.; Nardini, F. M.; Orlando, S.; Perego, R.; Veneri, A. | |
| On the application of a common theoretical explainability framework in information retrieval | 1-gen-2024 | Albarelli, A.; Lucchese, C.; Rizzo, M.; Veneri, A. | |
| Software systems compliance with the AI Act: lessons learned from an international challenge | 1-gen-2024 | Scantamburlo, T.; Falcarin, P.; Veneri, A.; Fabris, A.; Gallese, C.; Billa, V.; Rotolo, F.; Marcuzzi, F. | |
| A theoretical framework for AI models explainability with application in biomedicine | 1-gen-2023 | Rizzo, M; Veneri, A; Albarelli, A; Lucchese, C; Nobile, M; Conati, C | |
| Can embeddings analysis explain large language model ranking? | 1-gen-2023 | Lucchese, C; Minello, G; Nardini, Fm; Orlando, S; Perego, R; Veneri, A | |
| Explaining learning to rank methods to improve them | 1-gen-2023 | Veneri, A | |
| GAM Forest explanation | 1-gen-2023 | Lucchese, C; Orlando, S; Perego, R; Veneri, A | |
| ILMART: interpretable ranking with constrained LambdaMART | 1-gen-2022 | Lucchese C.; Nardini F.M.; Orlando S.; Perego R.; Veneri A. | |
| Interpretable ranking using LambdaMART (Abstract) | 1-gen-2022 | Lucchese, C; Nardini, Fm; Orlando, S; Perego, R; Veneri, A |