| 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 | 42 | 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 | 38 | 2020 |
| Jumping with variably scaled discontinuous kernels (VSDKs) S De Marchi, F Marchetti, E Perracchione BIT Numerical Mathematics 60, 441-463, 2020 | 36 | 2020 |
| The extension of Rippa’s algorithm beyond LOOCV F Marchetti Applied Mathematics Letters 120, 107262, 2021 | 31 | 2021 |
| 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 | 23 | 2021 |
| 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 |
| A stochastic extended Rippa’s algorithm for LpOCV L Ling, F Marchetti Applied Mathematics Letters 129, 107955, 2022 | 16 | 2022 |
| Local-to-global support vector machines (LGSVMs) F Marchetti, E Perracchione Pattern Recognition 132, 108920, 2022 | 14 | 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 | 13 | 2022 |
| Learning via variably scaled kernels C Campi, F Marchetti, E Perracchione Advances in Computational Mathematics 47 (4), 51, 2021 | 13 | 2021 |
| Score-oriented loss (sol) functions F Marchetti, S Guastavino, M Piana, C Campi Pattern Recognition 132, 108913, 2022 | 11 | 2022 |
| 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 | 8 | 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 |
| 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 | 5 | 2023 |
| 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 | 4 | 2023 |
| Polynomial mapped bases: theory and applications S De Marchi, G Elefante, E Francomano, F Marchetti Communications in Applied and Industrial Mathematics 13 (1), 1-9, 2022 | 4 | 2022 |
| Spectral filtering for the resolution of the Gibbs phenomenon in MPI applications by Lissajous sampling F Marchetti, S De Marchi, W Erb Master’s Thesis, 2016 | 4 | 2016 |
