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05/29/2023
A hybrid time-frequency parametric modelling of medical ultrasound signal transmission
Medical ultrasound imaging is the most widespread real-time non-invasive...
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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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12/29/2022
A fast and convergent combined Newton and gradient descent method for computing steady states of chemical reaction networks
In this work we present a fast, globally convergent, iterative algorithm...
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09/13/2022
Narrowband Transmit Beam Pattern in medical ultrasound: a stochastic approach to delays optimization
Transmit Beam Pattern (TBP) optimization is an important task in medical...
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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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12/21/2021
Regularization from examples via neural networks for parametric inverse problems: topology matters
In this work we deal with parametric inverse problems, which consist in ...
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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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03/04/2021
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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11/11/2020
Predictive risk estimation for the Expectation Maximization algorithm with Poisson data
In this work, we introduce a novel estimator of the predictive risk with...
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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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12/30/2019
A Parameter Choice Rule for Tikhonov Regularization Based on Predictive Risk
In this work, we propose a new criterion for choosing the regularization...
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04/08/2019