ESULI, ANDREA
ESULI, ANDREA
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
The Invalsi benchmarks: measuring the linguistic and mathematical understanding of large language models in Italian
2025 Puccetti, G.; Cassese, M.; Esuli, A.
A noise-oriented and redundancy-aware instance selection framework
2024 Cunha, W.; Moreo Fernandez, A.; Esuli, A.; Sebastiani, F.; Rocha, L.; Gonçalves, M. A.
ABRICOT - ABstRactness and Inclusiveness in COntexT: a CALAMITA challenge
2024 Puccetti, G.; Collacciani, C.; Ravelli, A. A.; Esuli, A.; Bolognesi, M. M.
AI 'News' Content Farms Are Easy to Make and Hard to Detect: A Case Study in Italian
2024 Puccetti, G.; Rogers, A.; Alzetta, C.; Dell'Orletta, F.; Esuli, A.
Cascaded transformer-based networks for Wikipedia large-scale image-caption matching
2024 Messina, N; Coccomini, Da; Esuli, A; Falchi, F
Detecting images generated by diffusers
2024 Coccomini, D. A.; Esuli, A.; Falchi, F.; Gennaro, C.; Amato, G.
INVALSI - mathematical and language understanding in Italian: a CALAMITA challenge
2024 Puccetti, G.; Cassese, M.; Esuli, A.
You write like a GPT
2024 Esuli, A.; Falchi, F.; Malvaldi, M.; Puccetti, G.
AIMH at MULTI-Fake-DetectIVE: system report
2023 Puccetti, G; Esuli, A
AIMH Lab approaches for deepfake detection
2023 Coccomini, Da; Caldelli, R; Esuli, A; Falchi, F; Gennaro, C; Messina, N; Amato, G
AIMH Research Activities 2023
2023 Aloia, N; Amato, G; Bartalesi, V; Bianchi, L; Bolettieri, P; Bosio, C; Carraglia, M; Carrara, F; Casarosa, V; Ciampi, L; Coccomini, Da; Concordia, C; Corbara, S; De Martino, C; Di Benedetto, M; Esuli, A; Falchi, F; Fazzari, E; Gennaro, C; Lagani, G; Lenzi, E; Meghini, C; Messina, N; Molinari, A; Moreo, A; Nardi, A; Pedrotti, A; Pratelli, N; Puccetti, G; Rabitti, F; Savino, P; Sebastiani, F; Sperduti, G; Thanos, C; Trupiano, L; Vadicamo, L; Vairo, C; Versienti, L
Improved risk minimization algorithms for technology-assisted review
2023 Molinari, A; Esuli, A; Sebastiani, F
Learning to Quantify
2023 Esuli, A; Fabris, A; Moreo, A; Sebastiani, F
Measuring fairness under unawareness of sensitive attributes: a quantification-based approach
2023 Fabris, A; Esuli, A; Moreo, A; Sebastiani, F
SALt: efficiently stopping TAR by improving priors estimates
2023 Molinari, A; Esuli, A
The interactive classification system
2023 Esuli A.
Unravelling interlanguage facts via explainable machine learning
2023 Berti, B; Esuli, A; Sebastiani, F
A concise overview of LeQua@CLEF 2022: Learning to Quantify
2022 Esuli, A; Moreo, A; Sebastiani, F; Sperduti, G
A detailed overview of LeQua 2022: learning to quantify
2022 Esuli, A; Moreo, A; Sebastiani, F; Sperduti, G
Active learning and the Saerens-Latinne-Decaestecker algorithm: an evaluation
2022 Molinari A.; Esuli A.; Sebastiani F.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| The Invalsi benchmarks: measuring the linguistic and mathematical understanding of large language models in Italian | 1-gen-2025 | Puccetti, G.; Cassese, M.; Esuli, A. | |
| A noise-oriented and redundancy-aware instance selection framework | 1-gen-2024 | Cunha, W.; Moreo Fernandez, A.; Esuli, A.; Sebastiani, F.; Rocha, L.; Gonçalves, M. A. | |
| ABRICOT - ABstRactness and Inclusiveness in COntexT: a CALAMITA challenge | 1-gen-2024 | Puccetti, G.; Collacciani, C.; Ravelli, A. A.; Esuli, A.; Bolognesi, M. M. | |
| AI 'News' Content Farms Are Easy to Make and Hard to Detect: A Case Study in Italian | 1-gen-2024 | Puccetti, G.; Rogers, A.; Alzetta, C.; Dell'Orletta, F.; Esuli, A. | |
| Cascaded transformer-based networks for Wikipedia large-scale image-caption matching | 1-gen-2024 | Messina, N; Coccomini, Da; Esuli, A; Falchi, F | |
| Detecting images generated by diffusers | 1-gen-2024 | Coccomini, D. A.; Esuli, A.; Falchi, F.; Gennaro, C.; Amato, G. | |
| INVALSI - mathematical and language understanding in Italian: a CALAMITA challenge | 1-gen-2024 | Puccetti, G.; Cassese, M.; Esuli, A. | |
| You write like a GPT | 1-gen-2024 | Esuli, A.; Falchi, F.; Malvaldi, M.; Puccetti, G. | |
| AIMH at MULTI-Fake-DetectIVE: system report | 1-gen-2023 | Puccetti, G; Esuli, A | |
| AIMH Lab approaches for deepfake detection | 1-gen-2023 | Coccomini, Da; Caldelli, R; Esuli, A; Falchi, F; Gennaro, C; Messina, N; Amato, G | |
| AIMH Research Activities 2023 | 1-gen-2023 | Aloia, N; Amato, G; Bartalesi, V; Bianchi, L; Bolettieri, P; Bosio, C; Carraglia, M; Carrara, F; Casarosa, V; Ciampi, L; Coccomini, Da; Concordia, C; Corbara, S; De Martino, C; Di Benedetto, M; Esuli, A; Falchi, F; Fazzari, E; Gennaro, C; Lagani, G; Lenzi, E; Meghini, C; Messina, N; Molinari, A; Moreo, A; Nardi, A; Pedrotti, A; Pratelli, N; Puccetti, G; Rabitti, F; Savino, P; Sebastiani, F; Sperduti, G; Thanos, C; Trupiano, L; Vadicamo, L; Vairo, C; Versienti, L | |
| Improved risk minimization algorithms for technology-assisted review | 1-gen-2023 | Molinari, A; Esuli, A; Sebastiani, F | |
| Learning to Quantify | 1-gen-2023 | Esuli, A; Fabris, A; Moreo, A; Sebastiani, F | |
| Measuring fairness under unawareness of sensitive attributes: a quantification-based approach | 1-gen-2023 | Fabris, A; Esuli, A; Moreo, A; Sebastiani, F | |
| SALt: efficiently stopping TAR by improving priors estimates | 1-gen-2023 | Molinari, A; Esuli, A | |
| The interactive classification system | 1-gen-2023 | Esuli A. | |
| Unravelling interlanguage facts via explainable machine learning | 1-gen-2023 | Berti, B; Esuli, A; Sebastiani, F | |
| A concise overview of LeQua@CLEF 2022: Learning to Quantify | 1-gen-2022 | Esuli, A; Moreo, A; Sebastiani, F; Sperduti, G | |
| A detailed overview of LeQua 2022: learning to quantify | 1-gen-2022 | Esuli, A; Moreo, A; Sebastiani, F; Sperduti, G | |
| Active learning and the Saerens-Latinne-Decaestecker algorithm: an evaluation | 1-gen-2022 | Molinari A.; Esuli A.; Sebastiani F. |