CNR Institutional Research Information System

SEBASTIANI, FABRIZIO

SEBASTIANI, FABRIZIO  

Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI  

Mostra records
Risultati 1 - 20 di 309 (tempo di esecuzione: 0.029 secondi).
Titolo Data di pubblicazione Autore(i) File
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
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.
Report on the 1st International Workshop on Learning to Quantify (LQ 2021) 1-gen-2022 Del Coz J.J.; González P.; Moreo A.; Sebastiani F.
Syllabic quantity patterns as rhythmic features for Latin authorship attribution 1-gen-2022 Corbara, S; Moreo, A; Sebastiani, F
Tweet sentiment quantification: an experimental re-evaluation 1-gen-2022 Moreo, A; Sebastiani, F
Advances in Information Retrieval. 43rd European Conference on IR Research, ECIR 2021. Proceedings 1-gen-2021 Hiemstra D.; Moens M.F.; Mothe J.; Perego R.; Potthast M.; Sebastiani F.