Emma Perracchione

44 papers Journal 43Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Kriging via variably scaled kernels.
CoRR
Gianluca Audone, Francesco Marchetti, Emma Perracchione, Milvia Rossini
2025 J jnl
A recipe for learning Variably Scaled Kernels via Discontinuous Neural Networks.
J. Comput. Appl. Math.
Gianluca Audone, Francesco Della Santa, Emma Perracchione, Sandra Pieraccini
2025 J jnl
Feature Understanding and Sparsity Enhancement via 2-Layered kernel machines (2L-FUSE).
CoRR
Fabiana Camattari, Sabrina Guastavino, Francesco Marchetti, Emma Perracchione
2025 J jnl
Greedy techniques for inverse problems.
CoRR
L. Bruni Bruno, Paolo Massa, Emma Perracchione, M. Trombini
2025 J jnl
Variably Scaled Kernels for the regularized solution of the parametric Fourier imaging problem.
CoRR
Anna Volpara, Alessandro Lupoli, Emma Perracchione
2024 J jnl
A recipe based on Lebesgue functions for learning Variably Scaled Kernels via Discontinuous Neural Networks (ΔNN-VSKs).
CoRR
Gianluca Audone, Francesco Della Santa, Emma Perracchione, Sandra Pieraccini
2024 J jnl
AI-FLARES: Artificial Intelligence for the Analysis of Solar Flares Data.
CoRR
Michele Piana, Federico Benvenuto, Anna Maria Massone, Cristina Campi, Sabrina Guastavino, Francesco Marchetti, Paolo Massa, Emma Perracchione, Anna Volpara
2024 J jnl
Classifier-dependent feature selection via greedy methods.
Stat. Comput.
Fabiana Camattari, Sabrina Guastavino, Francesco Marchetti, Michele Piana, Emma Perracchione
2024 J jnl
Data-Driven Kernel Designs for Optimized Greedy Schemes: A Machine Learning Perspective.
SIAM J. Sci. Comput.
Tizian Wenzel, Francesco Marchetti, Emma Perracchione
2024 J jnl
Forecasting Geoffective Events from Solar Wind Data and Evaluating the Most Predictive Features through Machine Learning Approaches.
CoRR
Sabrina Guastavino, Katsiaryna Bahamazava, Emma Perracchione, Fabiana Camattari, Gianluca Audone, Daniele Telloni, Roberto Susino, Gianalfredo Nicolini, Silvano Fineschi, Michele Piana, Anna Maria Massone
2024 J jnl
Greedy feature selection: Classifier-dependent feature selection via greedy methods.
CoRR
Fabiana Camattari, Sabrina Guastavino, Francesco Marchetti, Michele Piana, Emma Perracchione
2024 J jnl
RIS: Regularized Imaging Spectroscopy for STIX on-board Solar Orbiter.
CoRR
Anna Volpara, Alessandro Lupoli, Frank Filbir, Emma Perracchione, Anna Maria Massone, Michele Piana
2023 J jnl
Data-driven kernel designs for optimized greedy schemes: A machine learning perspective.
CoRR
Tizian Wenzel, Francesco Marchetti, Emma Perracchione
2023 J jnl
Learning with Partition of Unity-based Kriging Estimators.
Appl. Math. Comput.
Roberto Cavoretto, Alessandra De Rossi, Emma Perracchione
2023 — conf
Mapped Variably Scaled Kernels: Applications to Solar Imaging.
ICCSA (Workshops 5)
Francesco Marchetti, Emma Perracchione, Anna Volpara, Anna Maria Massone, Stefano De Marchi, Michele Piana
2023 J jnl
Mapped Variably Scaled Kernels: Applications to Solar Imaging.
CoRR
Francesco Marchetti, Emma Perracchione, Anna Volpara, Anna Maria Massone, Stefano De Marchi, Michele Piana
2023 J jnl
Unbiased CLEAN for STIX in Solar Orbiter.
CoRR
Emma Perracchione, Fabiana Camattari, Anna Volpara, Paolo Massa, Anna Maria Massone, Michele Piana
2022 J jnl
Efficient Reduced Basis Algorithm (ERBA) for Kernel-Based Approximation.
J. Sci. Comput.
Francesco Marchetti, Emma Perracchione
2022 J jnl
Forward-fitting STIX visibilities.
CoRR
Anna Volpara, Paolo Massa, Emma Perracchione, Andrea Francesco Battaglia, Sara Garbarino, Federico Benvenuto, Anna Maria Massone, Sam Krucker, Michele Piana
2022 J jnl
Interpolation with the polynomial kernels.
CoRR
Giacomo Elefante, Wolfgang Erb, Francesco Marchetti, Emma Perracchione, Davide Poggiali, Gabriele Santin
2022 J jnl
Local-to-Global Support Vector Machines (LGSVMs).
Pattern Recognit.
Francesco Marchetti, Emma Perracchione
2022 J jnl
Stable interpolation with exponential-polynomial splines and node selection via greedy algorithms.
Adv. Comput. Math.
Rosanna Campagna, Stefano De Marchi, Emma Perracchione, Gabriele Santin
2021 J jnl
A greedy non-intrusive reduced order model for shallow water equations.
J. Comput. Phys.
Sourav Dutta, Matthew W. Farthing, Emma Perracchione, Gaurav Savant, Mario Putti
2021 J jnl
Data-Driven Extrapolation Via Feature Augmentation Based on Variably Scaled Thin Plate Splines.
J. Sci. Comput.
Rosanna Campagna, Emma Perracchione
2021 J jnl
Data-driven reduced order modeling of environmental hydrodynamics using deep autoencoders and neural ODEs.
CoRR
Sourav Dutta, Peter Rivera-Casillas, Orie M. Cecil, Matthew W. Farthing, Emma Perracchione, Mario Putti
2021 J jnl
Efficient Reduced Basis Algorithm (ERBA) for kernel-based approximation.
CoRR
Francesco Marchetti, Emma Perracchione
2021 J jnl
Feature augmentation for the inversion of the Fourier transform with limited data.
CoRR
Emma Perracchione, Anna Maria Massone, Michele Piana
2021 J jnl
Greedy algorithms for learning via exponential-polynomial splines.
CoRR
Rosanna Campagna, Stefano De Marchi, Emma Perracchione, Gabriele Santin
2021 J jnl
Imaging from STIX visibility amplitudes.
CoRR
Paolo Massa, Emma Perracchione, Sara Garbarino, Andrea F. Battaglia, Federico Benvenuto, Michele Piana, Gordon Hurford, Sam Krucker
2021 J jnl
Learning via variably scaled kernels.
Adv. Comput. Math.
Cristina Campi, Francesco Marchetti, Emma Perracchione
2021 J jnl
Multivariate approximation at fake nodes.
Appl. Math. Comput.
Stefano De Marchi, Francesco Marchetti, Emma Perracchione, Davide Poggiali
2020 J jnl
Data-driven extrapolation via feature augmentation based on variably scaled thin plate splines.
CoRR
Rosanna Campagna, Emma Perracchione
2020 J jnl
Developing food, water and energy nexus workflows.
Int. J. Digit. Earth
Ian McCallum, Carsten Montzka, Bagher Bayat, Stefan Kollet, Andrii Kolotii, Nataliia Kussul, Mykola Lavreniuk, Anthony Lehmann, Joan Masó, Paolo Mazzetti, Aline Mosnier, Emma Perracchione, Mario Putti, Mattia Santoro, Ivette Serral, Leonid Shumilo, Daniel Spengler, Steffen Fritz
2020 J jnl
Polynomial interpolation via mapped bases without resampling.
J. Comput. Appl. Math.
Stefano De Marchi, Francesco Marchetti, Emma Perracchione, Davide Poggiali
2020 J jnl
Shape-Driven Interpolation With Discontinuous Kernels: Error Analysis, Edge Extraction, and Applications in Magnetic Particle Imaging.
SIAM J. Sci. Comput.
Stefano De Marchi, Wolfgang Erb, Francesco Marchetti, Emma Perracchione, M. Rossini
2020 J jnl
Visibility Interpolation in Solar Hard X-ray Imaging: Application to RHESSI and STIX.
CoRR
Emma Perracchione, Paolo Massa, Anna Maria Massone, Michele Piana
2019 J jnl
Fast and stable rational RBF-based partition of unity interpolation.
J. Comput. Appl. Math.
Stefano De Marchi, Ángeles Martínez, Emma Perracchione
2019 J jnl
RBF-Based Partition of Unity Methods for Elliptic PDEs: Adaptivity and Stability Issues Via Variably Scaled Kernels.
J. Sci. Comput.
Stefano De Marchi, Ángeles Martínez, Emma Perracchione, M. Rossini
2018 J jnl
Optimal Selection of Local Approximants in RBF-PU Interpolation.
J. Sci. Comput.
Roberto Cavoretto, Alessandra De Rossi, Emma Perracchione
2017 J jnl
Positive constrained approximation via RBF-based partition of unity method.
J. Comput. Appl. Math.
Alessandra De Rossi, Emma Perracchione
2016 J jnl
Efficient computation of partition of unity interpolants through a block-based searching technique.
Comput. Math. Appl.
Roberto Cavoretto, Alessandra De Rossi, Emma Perracchione
2016 J jnl
Robust Approximation Algorithms for the Detection of Attraction Basins in Dynamical Systems.
J. Sci. Comput.
Roberto Cavoretto, Alessandra De Rossi, Emma Perracchione, Ezio Venturino
2015 J jnl
Partition of unity interpolation on multivariate convex domains.
Int. J. Model. Simul. Sci. Comput.
Roberto Cavoretto, Alessandra De Rossi, Emma Perracchione
2015 J jnl
Reliable approximation of separatrix manifolds in competition models with safety niches.
Int. J. Comput. Math.
Roberto Cavoretto, Alessandra De Rossi, Emma Perracchione, Ezio Venturino