Federica Bragone

According to our database, Federica Bragone authored at least 10 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

$PINN - a Domain Decomposition Method for Bayesian Physics-Informed Neural Networks.

Júlia Vicens Figueres, Juliette Vanderhaeghen, Federica Bragone, Kateryna Morozovska, Khemraj Shukla

CoRR, April, 2025

Discovering Partially Known Ordinary Differential Equations: a Case Study on the Chemical Kinetics of Cellulose Degradation.

Federica Bragone, Kateryna Morozovska, Tor Laneryd, Khemraj Shukla, Stefano Markidis

CoRR, April, 2025

Optimal Sensor Placement in Power Transformers Using Physics-Informed Neural Networks.

Sirui Li, Federica Bragone, Matthieu Barreau, Tor Laneryd, Kateryna Morozovska

CoRR, February, 2025

Data-Driven vs Traditional Approaches to Power Transformer's Top-Oil Temperature Estimation.

Francis Tembo, Federica Bragone, Tor Laneryd, Matthieu Barreau, Kateryna Morozovska

CoRR, January, 2025

MILP initialization for solving parabolic PDEs with PINNs.

Sirui Li, Federica Bragone, Matthieu Barreau, Kateryna Morozovska

CoRR, January, 2025

Automatic learning analysis of flow-induced birefringence in cellulose nanofibrils.

Federica Bragone, Kateryna Morozovska, Tomas Rosén, Tor Laneryd, Daniel Söderberg, Stefano Markidis

J. Comput. Sci., 2025

2024

Time Series Predictions Based on PCA and LSTM Networks: A Framework for Predicting Brownian Rotary Diffusion of Cellulose Nanofibrils.

Federica Bragone, Kateryna Morozovska, Tomas Rosén, Daniel Söderberg, Stefano Markidis

Proceedings of the Computational Science - ICCS 2024, 2024

2022

Self-Supervised Transformer Networks for Error Classification of Tightening Traces.

Dennis Bogatov Wilkman, Lifei Tang, Kateryna Morozovska, Federica Bragone

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Physics-Informed Neural Networks for prediction of transformer's temperature distribution.

Oliver Welin Odeback, Federica Bragone, Tor Laneryd, Michele Luvisotto, Kateryna Morozovska

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Physics-Informed Neural Networks for Modeling Cellulose Degradation in Power Transformers.

Federica Bragone, Khaoula Oueslati, Tor Laneryd, Michele Luvisotto, Kateryna Morozovska

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022