SEBASTIANI, FABRIZIO
SEBASTIANI, FABRIZIO
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Binary quantification and dataset shift: an experimental investigation
2024 González, P.; Moreo Fernandez, A. D.; Sebastiani, F.
Explainable authorship identification in Cultural Heritage applications
2024 Setzu, M.; Corbara, S.; Monreale, A.; Moreo Fernandez, A.; Sebastiani, F.
Regularization-based methods for ordinal quantification
2024 Bunse, M.; Moreo Fernandez, A.; Sebastiani, F.; Senz, M.
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
Multi-label quantification
2023 Moreo A.; Francisco M.; Sebastiani F.
Ordinal quantification through regularization
2023 Bunse, M; Moreo, A; Sebastiani, F; Senz, M
Same or different? Diff-vectors for authorship analysis
2023 Corbara, S.; Moreo Fernandez, A. D.; Sebastiani, F.
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.
AIMH research activities 2022
2022 Aloia, N.; Amato, G.; Bartalesi Lenzi, V.; Benedetti, F.; Bolettieri, P.; Cafarelli, D.; Carrara, F.; Casarosa, V.; Ciampi, L.; Coccomini, D. A.; Concordia, C.; Corbara, S.; Di Benedetto, M.; Esuli, A.; Falchi, F.; Gennaro, C.; Lagani, G.; Lenzi, E.; Meghini, C.; Messina, N.; Metilli, D.; Molinari, A.; Moreo Fernandez, A. D.; Nardi, A.; Pedrotti, A.; Pratelli, N.; Rabitti, F.; Savino, P.; Sebastiani, F.; Sperduti, G.; Thanos, C.; Trupiano, L.; Vadicamo, L.; Vairo, C.
Generalized funnelling: ensemble learning and heterogeneous document embeddings for cross-lingual text classification
2022 Moreo A.; Pedrotti A.; Sebastiani F.
LeQua@CLEF2022: learning to quantify
2022 Esuli, A; Moreo, A; Sebastiani, F
MedLatinEpi and MedLatinLit: two datasets for the computational authorship analysis of medieval Latin texts
2022 Corbara, S.; Moreo Fernandez, A.; Sebastiani, F.; Tavoni, M.
Proceedings of the 13th International Conference of the CLEF Association (CLEF 2022)
2022 Barróncedeño, A; Da San Martino, G; Degli Esposti, M; Sebastiani, F; Macdonald, C; Pasi, G; Hanbury, A; Potthast, M; Faggioli, G; Ferro, N
Proceedings of the 2nd International Workshop on Learning to Quantify (LQ 2022)
2022 del Coz J.J; González P.; Moreo A.; Sebastiani F.
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
Binary quantification and dataset shift: an experimental investigation | 1-gen-2024 | González, P.; Moreo Fernandez, A. D.; Sebastiani, F. | |
Explainable authorship identification in Cultural Heritage applications | 1-gen-2024 | Setzu, M.; Corbara, S.; Monreale, A.; Moreo Fernandez, A.; Sebastiani, F. | |
Regularization-based methods for ordinal quantification | 1-gen-2024 | Bunse, M.; Moreo Fernandez, A.; Sebastiani, F.; Senz, M. | |
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 | |
Multi-label quantification | 1-gen-2023 | Moreo A.; Francisco M.; Sebastiani F. | |
Ordinal quantification through regularization | 1-gen-2023 | Bunse, M; Moreo, A; Sebastiani, F; Senz, M | |
Same or different? Diff-vectors for authorship analysis | 1-gen-2023 | Corbara, S.; Moreo Fernandez, A. D.; Sebastiani, F. | |
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. | |
AIMH research activities 2022 | 1-gen-2022 | Aloia, N.; Amato, G.; Bartalesi Lenzi, V.; Benedetti, F.; Bolettieri, P.; Cafarelli, D.; Carrara, F.; Casarosa, V.; Ciampi, L.; Coccomini, D. A.; Concordia, C.; Corbara, S.; Di Benedetto, M.; Esuli, A.; Falchi, F.; Gennaro, C.; Lagani, G.; Lenzi, E.; Meghini, C.; Messina, N.; Metilli, D.; Molinari, A.; Moreo Fernandez, A. D.; Nardi, A.; Pedrotti, A.; Pratelli, N.; Rabitti, F.; Savino, P.; Sebastiani, F.; Sperduti, G.; Thanos, C.; Trupiano, L.; Vadicamo, L.; Vairo, C. | |
Generalized funnelling: ensemble learning and heterogeneous document embeddings for cross-lingual text classification | 1-gen-2022 | Moreo A.; Pedrotti A.; Sebastiani F. | |
LeQua@CLEF2022: learning to quantify | 1-gen-2022 | Esuli, A; Moreo, A; Sebastiani, F | |
MedLatinEpi and MedLatinLit: two datasets for the computational authorship analysis of medieval Latin texts | 1-gen-2022 | Corbara, S.; Moreo Fernandez, A.; Sebastiani, F.; Tavoni, M. | |
Proceedings of the 13th International Conference of the CLEF Association (CLEF 2022) | 1-gen-2022 | Barróncedeño, A; Da San Martino, G; Degli Esposti, M; Sebastiani, F; Macdonald, C; Pasi, G; Hanbury, A; Potthast, M; Faggioli, G; Ferro, N | |
Proceedings of the 2nd International Workshop on Learning to Quantify (LQ 2022) | 1-gen-2022 | del Coz J.J; González P.; Moreo A.; Sebastiani F. |