CIPOLLINI, FRANCESCA
CIPOLLINI, FRANCESCA
100025 - Dipartimento di ingegneria meccanica, energetica, gestionale e dei trasporti
Condition-Based Maintenance of Naval Propulsion Systems with supervised Data Analysis
2018-01-01 Cipollini, Francesca; Oneto, Luca; Coraddu, Andrea; Murphy, Alan John; Anguita, Davide
Condition-based maintenance of naval propulsion systems: Data analysis with minimal feedback
2018-01-01 Cipollini, Francesca; Oneto, Luca; Coraddu, Andrea; Murphy, Alan John; Anguita, Davide
Data-driven ship digital twin for estimating the speed loss caused by the marine fouling
2019-01-01 Coraddu, A.; Oneto, L.; Baldi, F.; Cipollini, F.; Atlar, M.; Savio, S.
Model scale cavitation noise spectra prediction: Combining physical knowledge with data science
2019-01-01 Miglianti, F.; Cipollini, F.; Oneto, L.; Tani, G.; Viviani, M.
Physical, data-driven and hybrid approaches to model engine exhaust gas temperatures in operational conditions
2021-01-01 Coraddu, A.; Oneto, L.; Cipollini, F.; Kalikatzarakis, M.; Meijn, G. -J.; Geertsma, R.
Predicting the cavitating marine propeller noise at design stage: A deep learning based approach
2020-01-01 Miglianti, Leonardo; Cipollini, Francesca; Oneto, Luca; Tani, Giorgio; Gaggero, Stefano; Coraddu, Andrea; Viviani, Michele
Randomized learning: Generalization performance of old and new theoretically grounded algorithms
2018-01-01 Oneto, Luca; Cipollini, Francesca; Ridella, Sandro; Anguita, Davide
Simple continuous optimal regions of the space of data
2019-01-01 Carrega, Alessandro; Cipollini, Francesca; Oneto, L.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Condition-Based Maintenance of Naval Propulsion Systems with supervised Data Analysis | 1-gen-2018 | Cipollini, Francesca; Oneto, Luca; Coraddu, Andrea; Murphy, Alan John; Anguita, Davide | |
| Condition-based maintenance of naval propulsion systems: Data analysis with minimal feedback | 1-gen-2018 | Cipollini, Francesca; Oneto, Luca; Coraddu, Andrea; Murphy, Alan John; Anguita, Davide | |
| Data-driven ship digital twin for estimating the speed loss caused by the marine fouling | 1-gen-2019 | Coraddu, A.; Oneto, L.; Baldi, F.; Cipollini, F.; Atlar, M.; Savio, S. | |
| Model scale cavitation noise spectra prediction: Combining physical knowledge with data science | 1-gen-2019 | Miglianti, F.; Cipollini, F.; Oneto, L.; Tani, G.; Viviani, M. | |
| Physical, data-driven and hybrid approaches to model engine exhaust gas temperatures in operational conditions | 1-gen-2021 | Coraddu, A.; Oneto, L.; Cipollini, F.; Kalikatzarakis, M.; Meijn, G. -J.; Geertsma, R. | |
| Predicting the cavitating marine propeller noise at design stage: A deep learning based approach | 1-gen-2020 | Miglianti, Leonardo; Cipollini, Francesca; Oneto, Luca; Tani, Giorgio; Gaggero, Stefano; Coraddu, Andrea; Viviani, Michele | |
| Randomized learning: Generalization performance of old and new theoretically grounded algorithms | 1-gen-2018 | Oneto, Luca; Cipollini, Francesca; Ridella, Sandro; Anguita, Davide | |
| Simple continuous optimal regions of the space of data | 1-gen-2019 | Carrega, Alessandro; Cipollini, Francesca; Oneto, L. |