On Computing Derivatives for C1 Interpolating Schemes: an Optimization. - Stefano De Marchi (Computing, 1998)

A package for representing C1 interpolating surfaces: Application to the lagoon of Venice's bed. - Maria Morandi Cecchi; Stefano De Marchi; Damiano Fasoli (Numer. Algorithms, 1999)

Approximating the Approximant: A Numerical Code for Polynomial Compression of Discrete Integral Operators. - Stefano De Marchi; Marco Vianello (Numer. Algorithms, 2001)

Polynomials arising in factoring generalized Vandermonde determinants II: A condition for monicity. - Stefano De Marchi (Appl. Math. Lett., 2002)

On Leja sequences: some results and applications. - Stefano De Marchi (Appl. Math. Comput., 2004)

Near-optimal data-independent point locations for radial basis function interpolation. - Stefano De Marchi; Robert Schaback; Holger Wendland (Adv. Comput. Math., 2005)

Bivariate polynomial interpolation on the square at new nodal sets. - Marco Caliari; Stefano De Marchi; Marco Vianello (Appl. Math. Comput., 2005)

Hyper2d: A numerical code for hyperinterpolation on rectangles. - Marco Caliari; Marco Vianello; Stefano De Marchi; Roberto Montagna (Appl. Math. Comput., 2006)

A Numerical Study of the Xu Polynomial Interpolation Formula in Two Variables. - Len Bos; Marco Caliari; Stefano De Marchi; Marco Vianello (Computing, 2006)

Bivariate Lagrange interpolation at the Padua points: The generating curve approach. - Len Bos; Marco Caliari; Stefano De Marchi; Marco Vianello; Yuan Xu 005 (J. Approx. Theory, 2006)

On the Lebesgue constant for the Xu interpolation formula. - Len Bos; Stefano De Marchi; Marco Vianello (J. Approx. Theory, 2006)

Mathematics and wine. - Stefano De Marchi (Appl. Math. Comput., 2007)

Preface. - Stefano De Marchi; Michela Redivo-Zaglia; Marco Vianello (Numer. Algorithms, 2007)

Bivariate Lagrange interpolation at the Padua points: the ideal theory approach. - Len Bos; Stefano De Marchi; Marco Vianello; Yuan Xu 005 (Numerische Mathematik, 2007)

Hyperinterpolation in the cube. - Marco Caliari; Stefano De Marchi; Marco Vianello (Comput. Math. Appl., 2008)

Algorithm 886: Padua2D - Lagrange Interpolation at Padua Points on Bivariate Domains. - Marco Caliari; Stefano De Marchi; Marco Vianello (ACM Trans. Math. Softw., 2008)

Stability of kernel-based interpolation. - Stefano De Marchi; Robert Schaback (Adv. Comput. Math., 2010)

Computing Multivariate Fekete and Leja Points by Numerical Linear Algebra. - Len Bos; Stefano De Marchi; Alvise Sommariva; Marco Vianello (SIAM J. Numer. Anal., 2010)

On the Lebesgue constant of Berrut's rational interpolant at equidistant nodes. - Len Bos; Stefano De Marchi; Kai Hormann (J. Comput. Appl. Math., 2011)

Padua2DM: fast interpolation and cubature at the Padua points in Matlab/Octave. - Marco Caliari; Stefano De Marchi; Alvise Sommariva; Marco Vianello (Numer. Algorithms, 2011)

Polynomial approximation and cubature at approximate Fekete and Leja points of the cylinder. - Stefano De Marchi; Martina Marchioro; Alvise Sommariva (Appl. Math. Comput., 2012)

On the Lebesgue constant of barycentric rational interpolation at equidistant nodes. - Len Bos; Stefano De Marchi; Kai Hormann; Georges Klein (Numerische Mathematik, 2012)

Bounding the Lebesgue constant for Berrut's rational interpolant at general nodes. - Len Bos; Stefano De Marchi; Kai Hormann; Jean Sidon (J. Approx. Theory, 2013)

A new stable basis for radial basis function interpolation. - Stefano De Marchi; Gabriele Santin (J. Comput. Appl. Math., 2013)

On the constrained mock-Chebyshev least-squares. - Stefano De Marchi; Francesco Dell'Accio; Mariarosa Mazza (J. Comput. Appl. Math., 2015)

Fast and stable rational RBF-based partition of unity interpolation. - Stefano De Marchi; Ángeles Martínez 001; Emma Perracchione (J. Comput. Appl. Math., 2019)

RBF-Based Partition of Unity Methods for Elliptic PDEs: Adaptivity and Stability Issues Via Variably Scaled Kernels. - Stefano De Marchi; Ángeles Martínez 001; Emma Perracchione; M. Rossini (J. Sci. Comput., 2019)

Variably Scaled Kernels Improve Classification of Hormonally-Treated Patient-Derived Xenografts. - Francesco Marchetti; Fabio De Martino; Marie Shamseddin; Stefano De Marchi; Cathrin Brisken (EAIS, 2020)

Treating the Gibbs phenomenon in barycentric rational interpolation and approximation via the S-Gibbs algorithm. - Jean-Paul Berrut; Stefano De Marchi; Giacomo Elefante; Francesco Marchetti (Appl. Math. Lett., 2020)

On the convergence of the rescaled localized radial basis function method. - Stefano De Marchi; Holger Wendland (Appl. Math. Lett., 2020)

Polynomial interpolation via mapped bases without resampling. - Stefano De Marchi; Francesco Marchetti; Emma Perracchione; Davide Poggiali (J. Comput. Appl. Math., 2020)

Shape-Driven Interpolation With Discontinuous Kernels: Error Analysis, Edge Extraction, and Applications in Magnetic Particle Imaging. - Stefano De Marchi; Wolfgang Erb; Francesco Marchetti; Emma Perracchione; M. Rossini (SIAM J. Sci. Comput., 2020)

Multivariate approximation at fake nodes. - Stefano De Marchi; Francesco Marchetti; Emma Perracchione; Davide Poggiali (Appl. Math. Comput., 2021)

Stable discontinuous mapped bases: the Gibbs-Runge-Avoiding Stable Polynomial Approximation (GRASPA) method. - Stefano De Marchi; Giacomo Elefante; Francesco Marchetti (Comput. Appl. Math., 2021)

Oversampling errors in multimodal medical imaging are due to the Gibbs effect. - Davide Poggiali; Diego Cecchin; Cristina Campi; Stefano De Marchi (CoRR, 2021)

A shape preserving quasi-interpolation operator based on a new transcendental RBF. - Mohammad Heidari; Maryam Mohammadi; Stefano De Marchi (CoRR, 2021)

Greedy algorithms for learning via exponential-polynomial splines. - Rosanna Campagna; Stefano De Marchi; Emma Perracchione; Gabriele Santin (CoRR, 2021)

On (β, γ)-Chebyshev functions and points of the interval. - Stefano De Marchi; Giacomo Elefante; Francesco Marchetti (J. Approx. Theory, 2021)

Numerical simulation of a prostate tumor growth model by the RBF-FD scheme and a semi-implicit time discretization. - Vahid Mohammadi; Mehdi Dehghan 002; Stefano De Marchi (J. Comput. Appl. Math., 2021)

Stable interpolation with exponential-polynomial splines and node selection via greedy algorithms. - Rosanna Campagna; Stefano De Marchi; Emma Perracchione; Gabriele Santin (Adv. Comput. Math., 2022)

Variably Scaled Persistence Kernels (VSPKs) for persistent homology applications. - Stefano De Marchi; Federico Lot; Francesco Marchetti; Davide Poggiali (CoRR, 2022)

Reducing the Gibbs effect in multimodal medical imaging by the Fake Nodes Approach. - Davide Poggiali; Diego Cecchin; Stefano De Marchi (CoRR, 2022)

Polynomial mapped bases: theory and applications. - Stefano De Marchi; Giacomo Elefante; Elisa Francomano; Francesco Marchetti (CoRR, 2022)

Aldaz-Kounchev-Render operators and their approximation properties. - Ana Maria Acu; Stefano De Marchi; Ioan Rasa (CoRR, 2022)

Computational issues by interpolating with inverse multiquadrics: a solution. - Stefano De Marchi; Nadaniela Egidi; Josephin Giacomini; Pierluigi Maponi; Alessia Perticarini (CoRR, 2022)

Mapped Variably Scaled Kernels: Applications to Solar Imaging. - Francesco Marchetti; Emma Perracchione; Anna Volpara; Anna Maria Massone; Stefano De Marchi; Michele Piana (ICCSA (Workshops 5), 2023)

Moving Least Squares Approximation using Variably Scaled Discontinuous Weight Function. - Mohammad Karimnejad Esfahani; Stefano De Marchi; Francesco Marchetti (CoRR, 2023)

More properties of (β, γ)-Chebyshev functions and points. - Stefano De Marchi; Giacomo Elefante; Francesco Marchetti (CoRR, 2023)

Curvature based characterization of radial Basis Functions: Application to interpolation. - Mohammad Heidari; Maryam Mohammadi; Stefano De Marchi (Math. Model. Anal., 2023)

Lp-convergence of Kantorovich-type Max-Min Neural Network Operators. - Ismail Aslan; Stefano De Marchi; Wolfgang Erb (CoRR, 2024)

Persistence kernels for classification: A comparative study. - Cinzia Bandiziol; Stefano De Marchi (CoRR, 2024)

Fast-Decaying Polynomial Reproduction. - Stefano De Marchi; Giacomo Cappellazzo (CoRR, 2024)

On the Lebesgue constant of the Morrow-Patterson points. - Tomasz Beberok; Leokadia Bialas-Ciez; Stefano De Marchi (CoRR, 2024)

Full-rank orthonormal bases for conditionally positive definite kernel-based spaces. - Maryam Mohammadi; Stefano De Marchi; Mohammad Karimnejad Esfahani (J. Comput. Appl. Math., 2024)

Persistence Symmetric Kernels for Classification: A Comparative Study. - Cinzia Bandiziol; Stefano De Marchi (Symmetry, 2024)

A Note on the Direct Approximation of Derivatives in Rational Radial Basis Functions Partition of Unity Method. - Vahid Mohammadi; Stefano De Marchi (CoRR, 2025)