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07/18/2023
Unbiased CLEAN for STIX in Solar Orbiter
Aims: To formulate, implement, and validate a user-independent release o...
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05/22/2023
A comprehensive theoretical framework for the optimization of neural networks classification performance with respect to weighted metrics
In many contexts, customized and weighted classification scores are desi...
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05/17/2023
Physics-driven machine learning for the prediction of coronal mass ejections' travel times
Coronal Mass Ejections (CMEs) correspond to dramatic expulsions of plasm...
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04/03/2023
Mapped Variably Scaled Kernels: Applications to Solar Imaging
Variably scaled kernels and mapped bases constructed via the so-called f...
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03/28/2023
Multi-scale CLEAN in hard X-ray solar imaging
Multi-scale deconvolution is an ill-posed inverse problem in imaging, wi...
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09/12/2022
Operational solar flare forecasting via video-based deep learning
Operational flare forecasting aims at providing predictions that can be ...
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04/29/2022
Forward-fitting STIX visibilities
Aima. To determine to what extent the problem of forward fitting visibil...
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10/24/2021
Implementation paradigm for supervised flare forecasting studies: a deep learning application with video data
Solar flare forecasting can be realized by means of the analysis of magn...
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09/20/2021
Prediction of severe thunderstorm events with ensemble deep learning and radar data
The problem of nowcasting extreme weather events can be addressed by app...
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08/10/2021
Imaging from STIX visibility amplitudes
Aims: To provide the first demonstration of STIX Fourier-transform X-ray...
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03/29/2021
Score-oriented loss (SOL) functions
Loss functions engineering and the assessment of forecasting performance...
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03/04/2021
Bad and good errors: value-weighted skill scores in deep ensemble learning
In this paper we propose a novel approach to realize forecast verificati...
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02/07/2021
Feature augmentation for the inversion of the Fourier transform with limited data
We investigate an interpolation/extrapolation method that, given scatter...
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12/27/2020
Visibility Interpolation in Solar Hard X-ray Imaging: Application to RHESSI and STIX
Space telescopes for solar hard X-ray imaging provide observations made ...
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11/30/2020
The role of spectral complexity in connectivity estimation
The study of functional connectivity from magnetoecenphalographic (MEG) ...
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07/05/2020
Machine learning as a flaring storm warning machine: Was a warning machine for the September 2017 solar flaring storm possible?
Machine learning is nowadays the methodology of choice for flare forecas...
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02/18/2020
MEM_GE: a new maximum entropy method for image reconstruction from solar X-ray visibilities
Maximum Entropy is an image reconstruction method conceived to image a s...
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01/19/2020
Mathematical modelling of nuclear medicine data
Positron Emission Tomography using 2-[18F]-2deoxy-D-glucose as radiotrac...
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09/03/2019
On the two-step estimation of the cross--power spectrum for dynamical inverse problems
We consider the problem of reconstructing the cross--power spectrum of a...
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08/29/2019
Computational approaches for parametric imaging of dynamic PET data
Parametric imaging of nuclear medicine data exploits dynamic functional ...
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06/19/2019
Automated Definition of Skeletal Disease Burden in Metastatic Prostate Carcinoma: a 3D analysis of SPECT/CT images
To meet the current need for skeletal tumor-load estimation in prostate ...
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04/08/2019
Desaturating EUV observations of solar flaring storms
Image saturation has been an issue for several instruments in solar astr...
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12/20/2018
Compressed sensing and Sequential Monte Carlo for solar hard X-ray imaging
We describe two inversion methods for the reconstruction of hard X-ray s...
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08/24/2018
Bayesian Multi--Dipole Modeling in the Frequency Domain
Background: Magneto- and Electro-encephalography record the electromagne...
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01/27/2018
Identification of multiple hard X-ray sources in solar flares: A Bayesian analysis of the February 20 2002 event
Hard X-ray emission in solar flares is typically characterized by a numb...
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03/08/2015