Polynomial interpolation via mapped bases without resampling S De Marchi, F Marchetti, E Perracchione, D Poggiali Journal of Computational and Applied Mathematics 364, 112347, 2020 | 47 | 2020 |
Shape-driven interpolation with discontinuous kernels: Error analysis, edge extraction, and applications in magnetic particle imaging S De Marchi, W Erb, F Marchetti, E Perracchione, M Rossini SIAM Journal on Scientific Computing 42 (2), B472-B491, 2020 | 43 | 2020 |
The extension of Rippa’s algorithm beyond LOOCV F Marchetti Applied Mathematics Letters 120, 107262, 2021 | 40 | 2021 |
Jumping with variably scaled discontinuous kernels (VSDKs) S De Marchi, F Marchetti, E Perracchione BIT Numerical Mathematics 60, 441-463, 2020 | 40 | 2020 |
Spectral filtering for the reduction of the Gibbs phenomenon of polynomial approximation methods on Lissajous curves with applications in MPI S De Marchi, F Marchetti, W Erb Dolomites Research Notes on Approximation 10, 128-137, 2017 | 27 | 2017 |
Multivariate approximation at fake nodes S De Marchi, F Marchetti, E Perracchione, D Poggiali Applied Mathematics and Computation 391, 125628, 2021 | 26 | 2021 |
A stochastic extended Rippa’s algorithm for LpOCV L Ling, F Marchetti Applied Mathematics Letters 129, 107955, 2022 | 25 | 2022 |
Implementation paradigm for supervised flare forecasting studies: A deep learning application with video data S Guastavino, F Marchetti, F Benvenuto, C Campi, M Piana Astronomy & Astrophysics 662, A105, 2022 | 22 | 2022 |
Treating the Gibbs phenomenon in barycentric rational interpolation and approximation via the S-Gibbs algorithm JP Berrut, S De Marchi, G Elefante, F Marchetti Applied Mathematics Letters 103, 106196, 2020 | 18 | 2020 |
Local-to-global support vector machines (LGSVMs) F Marchetti, E Perracchione Pattern Recognition 132, 108920, 2022 | 16 | 2022 |
Score-oriented loss (sol) functions F Marchetti, S Guastavino, M Piana, C Campi Pattern Recognition 132, 108913, 2022 | 15 | 2022 |
Learning via variably scaled kernels C Campi, F Marchetti, E Perracchione Advances in Computational Mathematics 47 (4), 51, 2021 | 14 | 2021 |
Operational solar flare forecasting via video-based deep learning S Guastavino, F Marchetti, F Benvenuto, C Campi, M Piana Frontiers in Astronomy and Space Sciences 9, 1039805, 2023 | 13 | 2023 |
Data-driven kernel designs for optimized greedy schemes: A machine learning perspective T Wenzel, F Marchetti, E Perracchione SIAM Journal on Scientific Computing 46 (1), C101-C126, 2024 | 12 | 2024 |
Physics-driven machine learning for the prediction of coronal mass ejections’ travel times S Guastavino, V Candiani, A Bemporad, F Marchetti, F Benvenuto, ... The Astrophysical Journal 954 (2), 151, 2023 | 10 | 2023 |
Fake nodes approximation for magnetic particle imaging S De Marchi, W Erb, E Francomano, F Marchetti, E Perracchione, ... 2020 IEEE 20th Mediterranean Electrotechnical Conference (MELECON), 434-438, 2020 | 10 | 2020 |
Stable discontinuous mapped bases: the gibbs–runge-avoiding stable polynomial approximation (GRASPA) method S De Marchi, G Elefante, F Marchetti Computational and Applied Mathematics 40, 1-17, 2021 | 9 | 2021 |
On (β, γ)-Chebyshev functions and points of the interval S De Marchi, G Elefante, F Marchetti Journal of Approximation Theory 271, 105634, 2021 | 7 | 2021 |
Convergence rate in terms of the continuous SSIM (cSSIM) index in RBF interpolation F Marchetti Dolomites Research Notes on Approximation 14, 27-32, 2021 | 6 | 2021 |
Moving least squares approximation using variably scaled discontinuous weight function MK Esfahani, S De Marchı, F Marchetti Constructive Mathematical Analysis 6 (1), 38-54, 2023 | 5 | 2023 |