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Emma Perracchione
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2020 – today
- 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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last updated on 2024-08-25 19:14 CEST by the dblp team
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