MARCHETTI, FRANCESCO
MARCHETTI, FRANCESCO
Dipartimento di Matematica "Tullio Levi-Civita" - DM
A comprehensive theoretical framework for the optimization of neural networks classification performance with respect to weighted metrics
2024 Marchetti, F.; Guastavino, S.; Campi, C.; Benvenuto, F.; Piana, M.
A note on the usage of the pinv MATLAB function
2022 Marchetti, F.
A stochastic extended Rippa's algorithm for LpOCV
2022 Ling, L.; Marchetti, F.
Convergence rate in terms of the continuous ssim (Cssim) index in rbf interpolation
2021 Marchetti, F.
Convergence Results in Image Interpolation With the Continuous SSIM
2022 Marchetti, Francesco; Santin, Gabriele
DATA-DRIVEN KERNEL DESIGNS FOR OPTIMIZED GREEDY SCHEMES: A MACHINE LEARNING PERSPECTIVE
2024 Wenzel, T.; Marchetti, F.; Perracchione, E.
Efficient Reduced Basis Algorithm (ERBA) for Kernel-Based Approximation
2022 Marchetti, F.; Perracchione, E.
Implementation paradigm for supervised flare forecasting studies: A deep learning application with video data
2022 Guastavino, S.; Marchetti, F.; Benvenuto, F.; Campi, C.; Piana, M.
Interpolation with the polynomial kernels
2022 Elefante, G.; Erb, W.; Marchetti, F.; Perracchione, E.; Poggiali, D.; Santin, G.
Jumping with variably scaled discontinuous kernels (VSDKs)
2020 DE MARCHI, Stefano; Marchetti, Francesco; Perracchione, Emma
Learning via variably scaled kernels
2021 Campi, C.; Marchetti, F.; Perracchione, E.
Local-to-Global Support Vector Machines (LGSVMs)
2022 Marchetti, F.; Perracchione, E.
More properties of (β,γ)-Chebyshev functions and points
2023 De Marchi, S.; Elefante, G.; Marchetti, F.; Mariethoz, J. -Z.
Moving least squares approximation using variably scaled discontinuous weight function
2023 Karimnejad Esfahani, M; De Marchi, S; Marchetti, F.
Multivariate approximation at fake nodes
2021 DE MARCHI, Stefano; Marchetti, Francesco; Perracchione, Emma; Poggiali, Davide
On (β,γ)-Chebyshev functions and points of the interval
2021 De Marchi, Stefano; Elefante, Giacomo; Marchetti, Francesco
On Kosloff Tal-Ezer least-squares quadrature formulas
2023 Cappellazzo, G.; Erb, W.; Marchetti, F.; Poggiali, D.
Operational solar flare forecasting via video-based deep learning
2022 Guastavino, S.; Marchetti, F.; Benvenuto, F.; Campi, C.; Piana, M.
Physics-driven Machine Learning for the Prediction of Coronal Mass Ejections’ Travel Times
2023 Guastavino, S.; Candiani, V.; Bemporad, A.; Marchetti, F.; Benvenuto, F.; Massone, A. M.; Mancuso, S.; Susino, R.; Telloni, D.; Fineschi, S.; Piana, M.
Polynomial interpolation via mapped bases without resampling
2020 De Marchi, S.; Marchetti, F.; Perracchione, E.; Poggiali, D.