| Data-driven ship digital twin for estimating the speed loss caused by the marine fouling A Coraddu, L Oneto, F Baldi, F Cipollini, M Atlar, S Savio Ocean Engineering 186, 106063, 2019 | 60 | 2019 |
| Condition-based maintenance of naval propulsion systems with supervised data analysis F Cipollini, L Oneto, A Coraddu, AJ Murphy, D Anguita Ocean Engineering 149, 268-278, 2018 | 46 | 2018 |
| Condition-based maintenance of naval propulsion systems: Data analysis with minimal feedback F Cipollini, L Oneto, A Coraddu, AJ Murphy, D Anguita Reliability Engineering & System Safety 177, 12-23, 2018 | 39 | 2018 |
| Unsupervised deep learning for induction motor bearings monitoring F Cipollini, L Oneto, A Coraddu, S Savio Data-Enabled Discovery and Applications 3 (1), 1, 2019 | 17 | 2019 |
| Model scale cavitation noise spectra prediction: Combining physical knowledge with data science F Miglianti, F Cipollini, L Oneto, G Tani, M Viviani Ocean Engineering 178, 185-203, 2019 | 9 | 2019 |
| Unintrusive monitoring of induction motors bearings via deep learning on stator currents F Cipollini, L Oneto, A Coraddu, S Savio, D Anguita Procedia computer science 144, 42-51, 2018 | 8 | 2018 |
| Randomized learning: Generalization performance of old and new theoretically grounded algorithms L Oneto, F Cipollini, S Ridella, D Anguita Neurocomputing 298, 21-33, 2018 | 5 | 2018 |
| Predicting the cavitating marine propeller noise at design stage: A deep learning based approach L Miglianti, F Cipollini, L Oneto, G Tani, S Gaggero, A Coraddu, M Viviani Ocean Engineering 209, 107481, 2020 | 4 | 2020 |
| Marine safety and data analytics: Vessel crash stop maneuvering performance prediction L Oneto, A Coraddu, P Sanetti, O Karpenko, F Cipollini, T Cleophas, ... International conference on artificial neural networks, 385-393, 2017 | 4 | 2017 |
| Physical, data-driven and hybrid approaches to model engine exhaust gas temperatures in operational conditions A Coraddu, L Oneto, F Cipollini, M Kalikatzarakis, GJ Meijn, R Geertsma Ships and Offshore Structures, 1-22, 2021 | 3 | 2021 |
| Simple continuous optimal regions of the space of data A Carrega, F Cipollini, L Oneto Neurocomputing 349, 91-104, 2019 | 2 | 2019 |
| Crash Stop Maneuvering Performance Prediction: a Data-Driven Solution for Safety and Collision Avoidance L Oneto, A Coraddu, F Cipollini, O Karpenko, K Xepapa, P Sanetti, ... Data-Enabled Discovery and Applications 2 (1), 1-11, 2018 | 1 | 2018 |
| Deep Learning for Cavitating Marine Propeller Noise Prediction at Design Stage L Oneto, F Cipollini, L Miglianti, G Tani, S Gaggero, M Viviani, A Coraddu 2020 International Joint Conference on Neural Networks (IJCNN), 1-10, 2020 | | 2020 |
| Hybrid Model for Cavitation Noise Spectra Prediction F Cipollini, F Miglianti, L Oneto, G Tani, M Viviani 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | | 2019 |
| Cavitation Noise Spectra Prediction with Hybrid Models F Cipollini, F Miglianti, L Oneto, G Tani, M Viviani, D Anguita INNS Big Data and Deep Learning conference, 152-157, 2019 | | 2019 |
| A Deep Learning Approach to Marine Propulsion System Maintenance F Cipollini, A Coraddu, L Oneto 3rd International Symposium on Naval Architecture and Maritime (INT-NAM …, 2018 | | 2018 |
| Data driven models for propeller cavitation noise in model scale F Miglianti, G Tani, M Viviani, F Cipollini, L Oneto | | |
Luca OnetoDIBRIS - University of GenoaVerified email at unige.it
