CHIOFALO, ALESSIA
CHIOFALO, ALESSIA
AI-enabled cardiovascular models trained on multifidelity simulations data
2025 Chiofalo, Alessia; Careddu, Lucio; Ciriello, Valentina; Tartakovsky, Daniel
Transfer learning of neural surrogates on multifidelity groundwater simulations
2025 Chiofalo, Alessia; Ciriello, Valentina; Tartakovsky, Daniel M.
Contaminant Source Identification via Transfer Learning on Multifidelity-Data.
2024 Alessia Chiofalo, Valentina Ciriello, Daniel M. Tartakovsky
Extended dynamic mode decomposition for model reduction in fluid dynamics simulations
2024 Libero, Giulia; Chiofalo, Alessia; Ciriello, Valentina; Tartakovsky, Daniel M.
Polynomial Chaos Expansion for uncertainty quantification in subsurface processes
2024 Valentina Ciriello, Alessia Chiofalo, Giulia Libero, Daniel M. Tartakovsky
Reduction of data-generation cost for CNN training and inverse problems.
2024 Chiofalo A., Ciriello V., Tartakovsky Daniel M.
Tecniche di transfer learning su dati multi-fedeltà per problemi di trasporto in acque sotterranee.
2024 Chiofalo A., Ciriello V.
Transfer learning for inversion of multi-fidelity data in subsurface hydrology
2024 Alessia Chiofalo, Valentina Ciriello, Daniel M. Tartakovsky
Dynamic Mode Decompositions for Inhomogeneous Transport Problems
2023 G. Libero, A. Chiofalo, V. Ciriello, D. M. Tartakovsky
Multi-Fidelity Transfer Learning for Reconstruction of Conductivity Field
2023 Alessia Chiofalo, Valentina Ciriello, Daniel M. Tartakovsky
| Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
|---|---|---|---|---|---|---|
| AI-enabled cardiovascular models trained on multifidelity simulations data | Chiofalo, Alessia; Careddu, Lucio; Ciriello, Valentina; Tartakovsky, Daniel | 2025-01-01 | JOURNAL OF MACHINE LEARNING FOR MODELING AND COMPUTING | - | 1.01 Articolo in rivista | 2025_JMLMC_Multi_model2-1 post print.pdf |
| Transfer learning of neural surrogates on multifidelity groundwater simulations | Chiofalo, Alessia; Ciriello, Valentina; Tartakovsky, Daniel M. | 2025-01-01 | ADVANCES IN WATER RESOURCES | - | 1.01 Articolo in rivista | 1-s2.0-S0309170825002544-main.pdf |
| Contaminant Source Identification via Transfer Learning on Multifidelity-Data. | Alessia Chiofalo, Valentina Ciriello, Daniel M. Tartakovsky | 2024-01-01 | - | - | 4.02 Riassunto (Abstract) | - |
| Extended dynamic mode decomposition for model reduction in fluid dynamics simulations | Libero, Giulia; Chiofalo, Alessia; Ciriello, Valentina; Tartakovsky, Daniel M. | 2024-01-01 | PHYSICS OF FLUIDS | - | 1.01 Articolo in rivista | Libero et al, 2024 (POF Blood) - preprint.pdf |
| Polynomial Chaos Expansion for uncertainty quantification in subsurface processes | Valentina Ciriello, Alessia Chiofalo, Giulia Libero, Daniel M. Tartakovsky | 2024-01-01 | - | - | 4.02 Riassunto (Abstract) | - |
| Reduction of data-generation cost for CNN training and inverse problems. | Chiofalo A., Ciriello V., Tartakovsky Daniel M. | 2024-01-01 | - | - | 4.02 Riassunto (Abstract) | - |
| Tecniche di transfer learning su dati multi-fedeltà per problemi di trasporto in acque sotterranee. | Chiofalo A., Ciriello V. | 2024-01-01 | - | - | 4.02 Riassunto (Abstract) | - |
| Transfer learning for inversion of multi-fidelity data in subsurface hydrology | Alessia Chiofalo, Valentina Ciriello, Daniel M. Tartakovsky | 2024-01-01 | - | - | 4.02 Riassunto (Abstract) | - |
| Dynamic Mode Decompositions for Inhomogeneous Transport Problems | G. Libero, A. Chiofalo, V. Ciriello, D. M. Tartakovsky | 2023-01-01 | - | - | 4.02 Riassunto (Abstract) | - |
| Multi-Fidelity Transfer Learning for Reconstruction of Conductivity Field | Alessia Chiofalo, Valentina Ciriello, Daniel M. Tartakovsky | 2023-01-01 | - | - | 4.02 Riassunto (Abstract) | - |