CERRATO, MATTIA
CERRATO, MATTIA
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Risultati 1 - 6 di 6 (tempo di esecuzione: 0.016 secondi).
Constraining Deep Representations with a Noise Module for Fair Classification
2020-01-01 Mattia Cerrato, Roberto Esposito, Laura Li Puma
Fair Pairwise Learning to Rank
2020-01-01 Mattia Cerrato, Marius Köppel†, Alexander Segner†, Roberto Esposito, Stefan Kramer†
Fair Semi-supervised Representation Learning for Tabular Data Classification
2023-01-01 Shuyi Yang, Mattia Cerrato, Dino Ienco, Ruggero G. Pensa, Roberto Esposito
Hierarchical Priors for Hyperspherical Prototypical Networks
2023-01-01 Samuele Fonio, Lorenzo Paletto, Mattia Cerrato, Dino Ienco, Roberto Esposito
Partitioned Least Squares
2019-01-01 Roberto Esposito, Mattia Cerrato, Marco Locatelli
Taxonomic and Whole Object Constraints: A Deep Architecture
2019-01-01 Mattia Cerrato, Edoardo Arnaudo, Valentina Gliozzi, Roberto Esposito
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Constraining Deep Representations with a Noise Module for Fair Classification | 2020 | Mattia Cerrato, Roberto Esposito, Laura Li Puma | |
| Fair Pairwise Learning to Rank | 2020 | Mattia Cerrato, Marius Köppel†, Alexander Segner†, Roberto Esposito, Stefan Kramer† | |
| Fair Semi-supervised Representation Learning for Tabular Data Classification | 2023 | Shuyi Yang, Mattia Cerrato, Dino Ienco, Ruggero G. Pensa, Roberto Esposito | |
| Hierarchical Priors for Hyperspherical Prototypical Networks | 2023 | Samuele Fonio, Lorenzo Paletto, Mattia Cerrato, Dino Ienco, Roberto Esposito | |
| Partitioned Least Squares | 2019 | Roberto Esposito, Mattia Cerrato, Marco Locatelli | |
| Taxonomic and Whole Object Constraints: A Deep Architecture | 2019 | Mattia Cerrato, Edoardo Arnaudo, Valentina Gliozzi, Roberto Esposito |