1 citations · 2 across the 5 of their papers we have counts for
6 papers
Computational issues by interpolating with inverse multiquadrics: a solution
Stefano De Marchi, Nadaniela Egidi, Josephin Giacomini +2
We consider the interpolation problem with the inverse multiquadric radial basis function. The problem usually produces a large dense linear system that has to be solved by iterati…
Polynomial mapped bases: theory and applications
Stefano De Marchi, Giacomo Elefante, Elisa Francomano +1
In this paper, we collect the basic theory and the most important applications of a novel technique that has shown to be suitable for scattered data interpolation, quadrature, bio-…
Reducing the Gibbs effect in multimodal medical imaging by the Fake Nodes Approach
Davide Poggiali, Diego Cecchin, Stefano De Marchi
It is a common practice in multimodal medical imaging to undersample the anatomically-derived segmentation images to measure the mean activity of a co-acquired functional image. Th…
Variably Scaled Persistence Kernels (VSPKs) for persistent homology applications
Stefano De Marchi, Federico Lot, Francesco Marchetti +1
In recent years, various kernels have been proposed in the context of persistent homology to deal with persistence diagrams in supervised learning approaches. In this paper, we con…
A shape preserving quasi-interpolation operator based on a new transcendental RBF
Mohammad Heidari, Maryam Mohammadi, Stefano De Marchi
It is well-known that the univariate Multiquadric quasi-interpolation operator is constructed based on the piecewise linear interpolation by |x|. In this paper, we first introduce…
Oversampling errors in multimodal medical imaging are due to the Gibbs effect
Davide Poggiali, Diego Cecchin, Cristina Campi +1
To analyse multimodal 3-dimensional medical images, interpolation is required for resampling which - unavoidably - introduces an interpolation error. In this work we consider three…