Reliable approximation of separatrix manifolds in competition models with safety niches. - Roberto Cavoretto; Alessandra De Rossi; Emma Perracchione; Ezio Venturino (Int. J. Comput. Math., 2015)

Partition of unity interpolation on multivariate convex domains. - Roberto Cavoretto; Alessandra De Rossi; Emma Perracchione (Int. J. Model. Simul. Sci. Comput., 2015)

Efficient computation of partition of unity interpolants through a block-based searching technique. - Roberto Cavoretto; Alessandra De Rossi; Emma Perracchione (Comput. Math. Appl., 2016)

Robust Approximation Algorithms for the Detection of Attraction Basins in Dynamical Systems. - Roberto Cavoretto; Alessandra De Rossi; Emma Perracchione; Ezio Venturino (J. Sci. Comput., 2016)

Positive constrained approximation via RBF-based partition of unity method. - Alessandra De Rossi; Emma Perracchione (J. Comput. Appl. Math., 2017)

Optimal Selection of Local Approximants in RBF-PU Interpolation. - Roberto Cavoretto; Alessandra De Rossi; Emma Perracchione (J. Sci. Comput., 2018)

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)

Visibility Interpolation in Solar Hard X-ray Imaging: Application to RHESSI and STIX. - Emma Perracchione; Paolo Massa; Anna Maria Massone; Michele Piana (CoRR, 2020)

Developing food, water and energy nexus workflows. - Ian McCallum; Carsten Montzka; Bagher Bayat; Stefan Kollet; Andrii Kolotii; Nataliia Kussul; Mykola Lavreniuk; Anthony Lehmann; Joan Masó; Paolo Mazzetti; Aline Mosnier; Emma Perracchione; et al. (Int. J. Digit. Earth, 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)

Learning via variably scaled kernels. - Cristina Campi; Francesco Marchetti; Emma Perracchione (Adv. Comput. Math., 2021)

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

Feature augmentation for the inversion of the Fourier transform with limited data. - Emma Perracchione; Anna Maria Massone; Michele Piana (CoRR, 2021)

Data-driven reduced order modeling of environmental hydrodynamics using deep autoencoders and neural ODEs. - Sourav Dutta; Peter Rivera-Casillas; Orie M. Cecil; Matthew W. Farthing; Emma Perracchione; Mario Putti (CoRR, 2021)

Imaging from STIX visibility amplitudes. - Paolo Massa; Emma Perracchione; Sara Garbarino; Andrea F. Battaglia; Federico Benvenuto; Michele Piana; Gordon Hurford; Sam Krucker (CoRR, 2021)

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

A greedy non-intrusive reduced order model for shallow water equations. - Sourav Dutta; Matthew W. Farthing; Emma Perracchione; Gaurav Savant; Mario Putti (J. Comput. Phys., 2021)

Data-Driven Extrapolation Via Feature Augmentation Based on Variably Scaled Thin Plate Splines. - Rosanna Campagna; Emma Perracchione (J. Sci. Comput., 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)

Forward-fitting STIX visibilities. - Anna Volpara; Paolo Massa; Emma Perracchione; Andrea Francesco Battaglia; Sara Garbarino; Federico Benvenuto; Anna Maria Massone; Sam Krucker; Michele Piana (CoRR, 2022)

Interpolation with the polynomial kernels. - Giacomo Elefante; Wolfgang Erb; Francesco Marchetti; Emma Perracchione; Davide Poggiali; Gabriele Santin (CoRR, 2022)

Efficient Reduced Basis Algorithm (ERBA) for Kernel-Based Approximation. - Francesco Marchetti; Emma Perracchione (J. Sci. Comput., 2022)

Local-to-Global Support Vector Machines (LGSVMs). - Francesco Marchetti; Emma Perracchione (Pattern Recognit., 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)

Unbiased CLEAN for STIX in Solar Orbiter. - Emma Perracchione; Fabiana Camattari; Anna Volpara; Paolo Massa; Anna Maria Massone; Michele Piana (CoRR, 2023)

Learning with Partition of Unity-based Kriging Estimators. - Roberto Cavoretto; Alessandra De Rossi; Emma Perracchione (Appl. Math. Comput., 2023)

AI-FLARES: Artificial Intelligence for the Analysis of Solar Flares Data. - Michele Piana; Federico Benvenuto; Anna Maria Massone; Cristina Campi; Sabrina Guastavino; Francesco Marchetti; Paolo Massa; Emma Perracchione; Anna Volpara (CoRR, 2024)

Greedy feature selection: Classifier-dependent feature selection via greedy methods. - Fabiana Camattari; Sabrina Guastavino; Francesco Marchetti; Michele Piana; Emma Perracchione (CoRR, 2024)

Forecasting Geoffective Events from Solar Wind Data and Evaluating the Most Predictive Features through Machine Learning Approaches. - Sabrina Guastavino; Katsiaryna Bahamazava; Emma Perracchione; Fabiana Camattari; Gianluca Audone; Daniele Telloni; Roberto Susino; Gianalfredo Nicolini; Silvano Fineschi; Michele Piana; Anna Maria Massone (CoRR, 2024)

RIS: Regularized Imaging Spectroscopy for STIX on-board Solar Orbiter. - Anna Volpara; Alessandro Lupoli; Frank Filbir; Emma Perracchione; Anna Maria Massone; Michele Piana (CoRR, 2024)

A recipe based on Lebesgue functions for learning Variably Scaled Kernels via Discontinuous Neural Networks (ΔNN-VSKs). - Gianluca Audone; Francesco Della Santa; Emma Perracchione; Sandra Pieraccini (CoRR, 2024)

Data-Driven Kernel Designs for Optimized Greedy Schemes: A Machine Learning Perspective. - Tizian Wenzel; Francesco Marchetti; Emma Perracchione (SIAM J. Sci. Comput., 2024)

Classifier-dependent feature selection via greedy methods. - Fabiana Camattari; Sabrina Guastavino; Francesco Marchetti; Michele Piana; Emma Perracchione (Stat. Comput., 2024)

A recipe for learning Variably Scaled Kernels via Discontinuous Neural Networks. - Gianluca Audone; Francesco Della Santa; Emma Perracchione; Sandra Pieraccini (J. Comput. Appl. Math., 2025)

Variably Scaled Kernels for the regularized solution of the parametric Fourier imaging problem. - Anna Volpara; Alessandro Lupoli; Emma Perracchione (CoRR, 2025)