Federated learning can effectively ensure data security and improve the problem of data
islanding. However, the performance of federated learning-based schemes could be better …

Rippa's algorithm is a well-known Leave-One-Out Cross Validation (LOOCV) scheme that is
adopted in Radial Basis Function (RBF) interpolation for the tuning of the shape parameter …

CLEAN is an iterative deconvolution method for radio and hard-X-ray solar imaging. In a
specific step of its pipeline, CLEAN requires the convolution between an idealized version of …

The design of key nonlinear systems often requires the use of expensive blackbox
simulations presenting inherent discontinuities whose positions in the variable space cannot …

The main goal of the present paper is to extend the interpolation via the so-called mapped
bases without resampling to any basis and dimension. So far indeed, we investigated the …

We investigate an interpolation/extrapolation method that, given scattered observations of
the Fourier transform, approximates its inverse. The interpolation algorithm takes advantage …

We investigate the use of the so-called variably scaled kernels (VSKs) for learning tasks,
with a particular focus on support vector machine (SVM) classifiers and kernel regression …

Open-sided magnetic particle imaging (OS-MPI) has garnered significant interest due to its
potential for interventional applications. However, the system matrix calibration in OS-MPI …

Assessing the similarity of two images is a complex task that attracts significant efforts in the
image processing community. The widely used structural similarity index measure (SSIM) …

The mapped bases or Fake Nodes Approach (FNA), introduced in De Marchi et al.(J Comput
Appl Math 364: 112347, 2020c), allows to change the set of nodes without the need of …