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ORCIDEmma Perracchione
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2020 – today
- 2024
[j21]Fabiana Camattari, Sabrina Guastavino, Francesco Marchetti, Michele Piana, Emma Perracchione:
Classifier-dependent feature selection via greedy methods. Stat. Comput. 34(5): 151 (2024)- [j20]Tizian Wenzel, Francesco Marchetti
, Emma Perracchione:
Data-Driven Kernel Designs for Optimized Greedy Schemes: A Machine Learning Perspective. SIAM J. Sci. Comput. 46(1): 101- (2024) - [i17]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 abs/2401.01104 (2024) - [i16]Fabiana Camattari, Sabrina Guastavino, Francesco Marchetti, Michele Piana, Emma Perracchione:
Greedy feature selection: Classifier-dependent feature selection via greedy methods. CoRR abs/2403.05138 (2024) - [i15]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 abs/2403.09847 (2024) - [i14]Anna Volpara, Alessandro Lupoli, Frank Filbir, Emma Perracchione, Anna Maria Massone, Michele Piana:
RIS: Regularized Imaging Spectroscopy for STIX on-board Solar Orbiter. CoRR abs/2407.01175 (2024) - [i13]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 abs/2407.10651 (2024) - 2023
- [j19]Roberto Cavoretto, Alessandra De Rossi, Emma Perracchione:
Learning with Partition of Unity-based Kriging Estimators. Appl. Math. Comput. 448: 127938 (2023) - [c1]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: 577-592 - [i12]Tizian Wenzel, Francesco Marchetti, Emma Perracchione:
Data-driven kernel designs for optimized greedy schemes: A machine learning perspective. CoRR abs/2301.08047 (2023) - [i11]Francesco Marchetti, Emma Perracchione, Anna Volpara, Anna Maria Massone, Stefano De Marchi, Michele Piana:
Mapped Variably Scaled Kernels: Applications to Solar Imaging. CoRR abs/2304.00975 (2023) - [i10]Emma Perracchione, Fabiana Camattari, Anna Volpara, Paolo Massa, Anna Maria Massone, Michele Piana:
Unbiased CLEAN for STIX in Solar Orbiter. CoRR abs/2307.09991 (2023) - 2022
- [j18]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): 69 (2022) - [j17]Francesco Marchetti, Emma Perracchione:
Efficient Reduced Basis Algorithm (ERBA) for Kernel-Based Approximation. J. Sci. Comput. 91(2): 41 (2022) - [j16]Francesco Marchetti, Emma Perracchione:
Local-to-Global Support Vector Machines (LGSVMs). Pattern Recognit. 132: 108920 (2022) - [i9]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 abs/2204.14148 (2022) - [i8]Giacomo Elefante, Wolfgang Erb, Francesco Marchetti, Emma Perracchione, Davide Poggiali, Gabriele Santin:
Interpolation with the polynomial kernels. CoRR abs/2212.07658 (2022) - 2021
- [j15]Cristina Campi, Francesco Marchetti, Emma Perracchione:
Learning via variably scaled kernels. Adv. Comput. Math. 47(4): 51 (2021) - [j14]Stefano De Marchi, Francesco Marchetti, Emma Perracchione, Davide Poggiali:
Multivariate approximation at fake nodes. Appl. Math. Comput. 391: 125628 (2021) - [j13]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: 110378 (2021) - [j12]Rosanna Campagna, Emma Perracchione:
Data-Driven Extrapolation Via Feature Augmentation Based on Variably Scaled Thin Plate Splines. J. Sci. Comput. 88(1): 15 (2021) - [i7]Emma Perracchione, Anna Maria Massone, Michele Piana:
Feature augmentation for the inversion of the Fourier transform with limited data. CoRR abs/2102.03755 (2021) - [i6]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 abs/2107.02784 (2021) - [i5]Francesco Marchetti, Emma Perracchione:
Efficient Reduced Basis Algorithm (ERBA) for kernel-based approximation. CoRR abs/2107.03112 (2021) - [i4]Paolo Massa, Emma Perracchione, Sara Garbarino, Andrea F. Battaglia, Federico Benvenuto, Michele Piana, Gordon Hurford, Sam Krucker:
Imaging from STIX visibility amplitudes. CoRR abs/2108.04901 (2021) - [i3]Rosanna Campagna, Stefano De Marchi, Emma Perracchione, Gabriele Santin:
Greedy algorithms for learning via exponential-polynomial splines. CoRR abs/2109.14299 (2021) - 2020
- [j11]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:
Developing food, water and energy nexus workflows. Int. J. Digit. Earth 13(2): 299-308 (2020) - [j10]Stefano De Marchi, Francesco Marchetti, Emma Perracchione, Davide Poggiali:
Polynomial interpolation via mapped bases without resampling. J. Comput. Appl. Math. 364 (2020) - [j9]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): B472-B491 (2020) - [i2]Rosanna Campagna, Emma Perracchione:
Data-driven extrapolation via feature augmentation based on variably scaled thin plate splines. CoRR abs/2012.12552 (2020) - [i1]Emma Perracchione, Paolo Massa, Anna Maria Massone, Michele Piana:
Visibility Interpolation in Solar Hard X-ray Imaging: Application to RHESSI and STIX. CoRR abs/2012.14007 (2020)
2010 – 2019
- 2019
- [j8]Stefano De Marchi, Ángeles Martínez, Emma Perracchione:
Fast and stable rational RBF-based partition of unity interpolation. J. Comput. Appl. Math. 349: 331-343 (2019) - [j7]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): 321-344 (2019) - 2018
- [j6]Roberto Cavoretto, Alessandra De Rossi, Emma Perracchione:
Optimal Selection of Local Approximants in RBF-PU Interpolation. J. Sci. Comput. 74(1): 1-22 (2018) - 2017
- [j5]Alessandra De Rossi, Emma Perracchione:
Positive constrained approximation via RBF-based partition of unity method. J. Comput. Appl. Math. 319: 338-351 (2017) - 2016
- [j4]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): 2568-2584 (2016) - [j3]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): 395-415 (2016) - 2015
- [j2]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): 1826-1837 (2015) - [j1]Roberto Cavoretto, Alessandra De Rossi, Emma Perracchione:
Partition of unity interpolation on multivariate convex domains. Int. J. Model. Simul. Sci. Comput. 6(4): 1550034:1-1550034:17 (2015)
Coauthor Index
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