Emma Perracchione

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 39

Top Topics

Machine Learning

Efficient Computation

Feature Selection

Top Venues

J. Sci. Comput.

J. Comput. Appl. Math.

Appl. Math. Comput.

Publications

Gianluca Audone, Francesco Della Santa, Emma Perracchione, Sandra Pieraccini
A recipe based on Lebesgue functions for learning Variably Scaled Kernels via Discontinuous Neural Networks (ΔNN-VSKs). CoRR (2024)
Tizian Wenzel, Francesco Marchetti, Emma Perracchione
Data-Driven Kernel Designs for Optimized Greedy Schemes: A Machine Learning Perspective. SIAM J. Sci. Comput. 46 (1) (2024)
Anna Volpara, Alessandro Lupoli, Frank Filbir, Emma Perracchione, Anna Maria Massone, Michele Piana
RIS: Regularized Imaging Spectroscopy for STIX on-board Solar Orbiter. CoRR (2024)
Sabrina Guastavino, Katsiaryna Bahamazava, Emma Perracchione, Fabiana Camattari, Gianluca Audone, Daniele Telloni, Roberto Susino, Gianalfredo Nicolini, Silvano Fineschi, Michele Piana, Anna Maria Massone
Forecasting Geoffective Events from Solar Wind Data and Evaluating the Most Predictive Features through Machine Learning Approaches. CoRR (2024)
Michele Piana, Federico Benvenuto, Anna Maria Massone, Cristina Campi, Sabrina Guastavino, Francesco Marchetti, Paolo Massa, Emma Perracchione, Anna Volpara
AI-FLARES: Artificial Intelligence for the Analysis of Solar Flares Data. CoRR (2024)
Fabiana Camattari, Sabrina Guastavino, Francesco Marchetti, Michele Piana, Emma Perracchione
Classifier-dependent feature selection via greedy methods. Stat. Comput. 34 (5) (2024)
Fabiana Camattari, Sabrina Guastavino, Francesco Marchetti, Michele Piana, Emma Perracchione
Greedy feature selection: Classifier-dependent feature selection via greedy methods. CoRR (2024)
Emma Perracchione, Fabiana Camattari, Anna Volpara, Paolo Massa, Anna Maria Massone, Michele Piana
Unbiased CLEAN for STIX in Solar Orbiter. CoRR (2023)
Francesco Marchetti, Emma Perracchione, Anna Volpara, Anna Maria Massone, Stefano De Marchi, Michele Piana
Mapped Variably Scaled Kernels: Applications to Solar Imaging. ICCSA (Workshops 5) (2023)
Francesco Marchetti, Emma Perracchione, Anna Volpara, Anna Maria Massone, Stefano De Marchi, Michele Piana
Mapped Variably Scaled Kernels: Applications to Solar Imaging. CoRR (2023)
Roberto Cavoretto, Alessandra De Rossi, Emma Perracchione
Learning with Partition of Unity-based Kriging Estimators. Appl. Math. Comput. 448 (2023)
Tizian Wenzel, Francesco Marchetti, Emma Perracchione
Data-driven kernel designs for optimized greedy schemes: A machine learning perspective. CoRR (2023)
Anna Volpara, Paolo Massa, Emma Perracchione, Andrea Francesco Battaglia, Sara Garbarino, Federico Benvenuto, Anna Maria Massone, Sam Krucker, Michele Piana
Forward-fitting STIX visibilities. CoRR (2022)
Giacomo Elefante, Wolfgang Erb, Francesco Marchetti, Emma Perracchione, Davide Poggiali, Gabriele Santin
Interpolation with the polynomial kernels. CoRR (2022)
Rosanna Campagna, Stefano De Marchi, Emma Perracchione, Gabriele Santin
Stable interpolation with exponential-polynomial splines and node selection via greedy algorithms. Adv. Comput. Math. 48 (6) (2022)
Francesco Marchetti, Emma Perracchione
Efficient Reduced Basis Algorithm (ERBA) for Kernel-Based Approximation. J. Sci. Comput. 91 (2) (2022)
Francesco Marchetti, Emma Perracchione
Local-to-Global Support Vector Machines (LGSVMs). Pattern Recognit. 132 (2022)
Emma Perracchione, Anna Maria Massone, Michele Piana
Feature augmentation for the inversion of the Fourier transform with limited data. CoRR (2021)
Paolo Massa, Emma Perracchione, Sara Garbarino, Andrea F. Battaglia, Federico Benvenuto, Michele Piana, Gordon Hurford, Sam Krucker
Imaging from STIX visibility amplitudes. CoRR (2021)
Stefano De Marchi, Francesco Marchetti, Emma Perracchione, Davide Poggiali
Multivariate approximation at fake nodes. Appl. Math. Comput. 391 (2021)
Rosanna Campagna, Emma Perracchione
Data-Driven Extrapolation Via Feature Augmentation Based on Variably Scaled Thin Plate Splines. J. Sci. Comput. 88 (1) (2021)
Francesco Marchetti, Emma Perracchione
Efficient Reduced Basis Algorithm (ERBA) for kernel-based approximation. CoRR (2021)
Sourav Dutta, Matthew W. Farthing, Emma Perracchione, Gaurav Savant, Mario Putti
A greedy non-intrusive reduced order model for shallow water equations. J. Comput. Phys. 439 (2021)
Cristina Campi, Francesco Marchetti, Emma Perracchione
Learning via variably scaled kernels. Adv. Comput. Math. 47 (4) (2021)
Rosanna Campagna, Stefano De Marchi, Emma Perracchione, Gabriele Santin
Greedy algorithms for learning via exponential-polynomial splines. CoRR (2021)
Sourav Dutta, Peter Rivera-Casillas, Orie M. Cecil, Matthew W. Farthing, Emma Perracchione, Mario Putti
Data-driven reduced order modeling of environmental hydrodynamics using deep autoencoders and neural ODEs. CoRR (2021)
Emma Perracchione, Paolo Massa, Anna Maria Massone, Michele Piana
Visibility Interpolation in Solar Hard X-ray Imaging: Application to RHESSI and STIX. CoRR (2020)
Ian McCallum, Carsten Montzka, Bagher Bayat, Stefan Kollet, Andrii Kolotii, Nataliia Kussul, Mykola Lavreniuk, Anthony Lehmann, Joan Masó-Pau, Paolo Mazzetti, Aline Mosnier, Emma Perracchione, Mario Putti, Mattia Santoro, Ivette Serral, Leonid Shumilo, Daniel Spengler, Steffen Fritz
Developing food, water and energy nexus workflows. Int. J. Digit. Earth 13 (2) (2020)
Stefano De Marchi, Francesco Marchetti, Emma Perracchione, Davide Poggiali
Polynomial interpolation via mapped bases without resampling. J. Comput. Appl. Math. 364 (2020)
Rosanna Campagna, Emma Perracchione
Data-driven extrapolation via feature augmentation based on variably scaled thin plate splines. CoRR (2020)
Stefano De Marchi, Wolfgang Erb, Francesco Marchetti, Emma Perracchione, M. Rossini
Shape-Driven Interpolation With Discontinuous Kernels: Error Analysis, Edge Extraction, and Applications in Magnetic Particle Imaging. SIAM J. Sci. Comput. 42 (2) (2020)
Stefano De Marchi, Ángeles Martínez, Emma Perracchione
Fast and stable rational RBF-based partition of unity interpolation. J. Comput. Appl. Math. 349 (2019)
Stefano De Marchi, Ángeles Martínez, Emma Perracchione, M. Rossini
RBF-Based Partition of Unity Methods for Elliptic PDEs: Adaptivity and Stability Issues Via Variably Scaled Kernels. J. Sci. Comput. 79 (1) (2019)
Roberto Cavoretto, Alessandra De Rossi, Emma Perracchione
Optimal Selection of Local Approximants in RBF-PU Interpolation. J. Sci. Comput. 74 (1) (2018)
Alessandra De Rossi, Emma Perracchione
Positive constrained approximation via RBF-based partition of unity method. J. Comput. Appl. Math. 319 (2017)
Roberto Cavoretto, Alessandra De Rossi, Emma Perracchione
Efficient computation of partition of unity interpolants through a block-based searching technique. Comput. Math. Appl. 71 (12) (2016)
Roberto Cavoretto, Alessandra De Rossi, Emma Perracchione, Ezio Venturino
Robust Approximation Algorithms for the Detection of Attraction Basins in Dynamical Systems. J. Sci. Comput. 68 (1) (2016)
Roberto Cavoretto, Alessandra De Rossi, Emma Perracchione, Ezio Venturino
Reliable approximation of separatrix manifolds in competition models with safety niches. Int. J. Comput. Math. 92 (9) (2015)
Roberto Cavoretto, Alessandra De Rossi, Emma Perracchione
Partition of unity interpolation on multivariate convex domains. Int. J. Model. Simul. Sci. Comput. 6 (4) (2015)