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A Hybrid Supervised/Unsupervised Machine Learning Approach to Solar Flare Prediction

The Astrophysical journal, 2018-01, Vol.853 (1), p.90

2018

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Forecasting Solar Flares Using Magnetogram-based Predictors and Machine Learning

Solar physics, 2018-02, Vol.293 (2), p.1-42, Article 28

2018

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Prediction of severe thunderstorm events with ensemble deep learning and radar data

Scientific reports, 2022-11, Vol.12 (1), p.20049-20049, Article 20049

2022

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Count-based imaging model for the Spectrometer/Telescope for Imaging X-rays (STIX) in Solar Orbiter

Astronomy and astrophysics (Berlin), 2019-04, Vol.624, p.A130

2019

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Computational quantification of global effects induced by mutations and drugs in signaling networks of colorectal cancer cells

Scientific reports, 2021-10, Vol.11 (1), p.19602-13, Article 19602

2021

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Physics-driven Machine Learning for the Prediction of Coronal Mass Ejections’ Travel Times

The Astrophysical journal, 2023-09, Vol.954 (2), p.151

2023

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Operational solar flare forecasting via video-based deep learning

Frontiers in astronomy and space sciences, 2023-03, Vol.9

2023

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In-silico modelling of the mitogen-activated protein kinase (MAPK) pathway in colorectal cancer: mutations and targeted therapy

Frontiers in Systems Biology (Online), 2023-08, Vol.3

2023

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A STUDY ON REGULARIZATION FOR DISCRETE INVERSE PROBLEMS WITH MODEL-DEPENDENT NOISE

SIAM journal on numerical analysis, 2017-01, Vol.55 (5), p.2187-2203

BENVENUTO, FEDERICO

2017

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Predictive risk estimation for the expectation maximization algorithm with Poisson data

Inverse problems, 2021-04, Vol.37 (4), p.45013

2021

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A parameter choice rule for Tikhonov regularization based on predictive risk

Inverse problems, 2020-06, Vol.36 (6), p.65004

2020

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Bad and Good Errors: Value-Weighted Skill Scores in Deep Ensemble Learning

IEEE transaction on neural networks and learning systems, 2024-02, Vol.35 (2), p.1993-2002

2024

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Convergence Rates of Spectral Regularization Methods: A Comparison between Ill-Posed Inverse Problems and Statistical Kernel Learning

SIAM journal on numerical analysis, 2020-01, Vol.58 (6), p.3504-3529

2020

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A discrepancy principle for the Landweber iteration based on risk minimization

Applied mathematics letters, 2019-10, Vol.96, p.1-6

2019

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A consistent and numerically efficient variable selection method for sparse Poisson regression with applications to learning and signal recovery

Statistics and computing, 2019-05, Vol.29 (3), p.501-516

2019

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Approximation of discontinuous inverse operators with neural networks

Inverse problems, 2022-10, Vol.38 (10), p.105001

2022

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Implementation paradigm for supervised flare forecasting studies: A deep learning application with video data

Astronomy and astrophysics (Berlin), 2022-06, Vol.662, p.A105

2022

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Combined Newton-Gradient Method for Constrained Root-Finding in Chemical Reaction Networks

Journal of optimization theory and applications, 2024, Vol.200 (1), p.404-427

2024

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Regularization of multiplicative iterative algorithms with nonnegative constraint

Inverse problems, 2014-03, Vol.30 (3), p.35012-17

2014

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Feature Ranking of Active Region Source Properties in Solar Flare Forecasting and the Uncompromised Stochasticity of Flare Occurrence

The Astrophysical journal, 2019-10, Vol.883 (2), p.150

2019

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A comprehensive theoretical framework for the optimization of neural networks classification performance with respect to weighted metrics

Optimization letters, 2024-04

2024

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MEM_GE: A New Maximum Entropy Method for Image Reconstruction from Solar X-Ray Visibilities

The Astrophysical journal, 2020-05, Vol.894 (1), p.46

2020

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Forward fitting STIX visibilities

Astronomy and astrophysics (Berlin), 2022-12, Vol.668, p.A145

2022

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Desaturating SDO/AIA Observations of Solar Flaring Storms

The Astrophysical journal, 2019-09, Vol.882 (2), p.109

2019

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A stochastic approach to delays optimization for narrowband transmit beam pattern in medical ultrasound

Discover Applied Sciences, 2024-07, Vol.6 (7), p.370, Article 370

2024

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A Hybrid Supervised/Unsupervised Machine Learning Approach to Solar Flare Prediction

Forecasting Solar Flares Using Magnetogram-based Predictors and Machine Learning

Prediction of severe thunderstorm events with ensemble deep learning and radar data

Count-based imaging model for the Spectrometer/Telescope for Imaging X-rays (STIX) in Solar Orbiter

Computational quantification of global effects induced by mutations and drugs in signaling networks of colorectal cancer cells

Physics-driven Machine Learning for the Prediction of Coronal Mass Ejections’ Travel Times

Operational solar flare forecasting via video-based deep learning

In-silico modelling of the mitogen-activated protein kinase (MAPK) pathway in colorectal cancer: mutations and targeted therapy

A STUDY ON REGULARIZATION FOR DISCRETE INVERSE PROBLEMS WITH MODEL-DEPENDENT NOISE

Predictive risk estimation for the expectation maximization algorithm with Poisson data

A parameter choice rule for Tikhonov regularization based on predictive risk

Bad and Good Errors: Value-Weighted Skill Scores in Deep Ensemble Learning

Convergence Rates of Spectral Regularization Methods: A Comparison between Ill-Posed Inverse Problems and Statistical Kernel Learning

A discrepancy principle for the Landweber iteration based on risk minimization

A consistent and numerically efficient variable selection method for sparse Poisson regression with applications to learning and signal recovery

Approximation of discontinuous inverse operators with neural networks

Implementation paradigm for supervised flare forecasting studies: A deep learning application with video data

Combined Newton-Gradient Method for Constrained Root-Finding in Chemical Reaction Networks

Regularization of multiplicative iterative algorithms with nonnegative constraint

Feature Ranking of Active Region Source Properties in Solar Flare Forecasting and the Uncompromised Stochasticity of Flare Occurrence

A comprehensive theoretical framework for the optimization of neural networks classification performance with respect to weighted metrics

MEM_GE: A New Maximum Entropy Method for Image Reconstruction from Solar X-Ray Visibilities

Forward fitting STIX visibilities

Desaturating SDO/AIA Observations of Solar Flaring Storms

A stochastic approach to delays optimization for narrowband transmit beam pattern in medical ultrasound

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