The purpose of this study is to introduce a new approach to feature ranking for classification
tasks, called in what follows greedy feature selection. In statistical learning, feature selection …

Context. Regularized imaging spectroscopy was introduced for the construction of electron
flux images at different energies from count visibilities recorded by the Reuven Ramaty High …

Multi-scale deconvolution is an ill-posed inverse problem in imaging, with applications
ranging from microscopy, through medical imaging, to astronomical remote sensing. In the …

Context. Reconstructing an image from noisy, sparsely sampled Fourier data is an ill-posed
inverse problem that occurs in a variety of subjects within science, including data analysis …

The purpose of this study is to introduce a new approach to feature ranking for classification
tasks, called in what follows greedy feature selection. In statistical learning, feature selection …

Context. The generation of spatially resolved count spectra and of cubes of count maps at
different energies via imaging spectroscopy is one of the main goals of solar hard X-ray …

A major open issue concerning the active Sun is the effectiveness with which magnetic
reconnection accelerates electrons in flares. A paper published by {\em {Nature}} in 2022 …

The efficacy of interpolating via Variably Scaled Kernels (VSKs) is known to be dependent
on the definition of a proper scaling function, but no numerical recipes to construct it are …

AI-FLARES (Artificial Intelligence for the Analysis of Solar Flares Data) is a research project
funded by the Agenzia Spaziale Italiana and by the Istituto Nazionale di Astrofisica within the …