Che tempo fa nello spazio? Anomalie e IA per la previsione di tempeste geomagnetiche, April 1, 2026, Biblioteca civica Alberto Geisser, Corso Casale, 5, Torino, Biennale della Tecnologia
Polito magazine, read the full article here: https://www.polito.it/ateneo/comunicazione-e-ufficio-stampa/poliflash/dalle-tempeste-solari-ai-fulmini-l-ai-che-prevede-i-fenomeni
G. Audone, F. Della Santa, E. Perracchione, S. Pieraccini, A recipe for learning Variably Scaled Kernels via Discontinuous Neural Networks, J. Comput. Appl. Math. , vol. 469, 1-18.
G. Audone, F. Marchetti, E. Perracchione, M. Rossini, Engineering Analysis with Boundary Elements, DOI: 10.1016/j.enganabound.2026.106890
G. Paolucci, S. Sahu, S. Tozza, A Review of High-Order “Filtered” Schemes for Hamilton-Jacobi Equations With 3D Extensions, Communications on Applied Mathematics and Computation, to appear.
L. Bruni Bruno, P. Massa, E. Perracchione, M. Trombini, Greedy methods for inverse problems: application to image reconstruction, Inverse Problems, under review.
L. Bruni Bruno, P. Massa, E. Perracchione, M. Trombini, pESTO: Iterative p-greedy kernel regression with risk-driven Early STOpping, Journal of Computational and Applied Mathematics, under review.
M. Trombini, S. Guastavino, F. Camattari, C. Moestl, E. Perracchione, Anomaly Detection of Interplanetary Coronal Mass Ejections in Multivariate Solar Wind Observations, Solar Physics, under review.
A. Lupoli, E. Perracchione, M. Trombini, Variably Scaled Kernels for the regularized solution of the parametric Fourier imaging problem, Journal of Computational and Applied Mathematics, under review.