Sabrina Guastavino

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Feature Selection

Regularization Methods

Top Venues

Pattern Recognit.

SIAM J. Numer. Anal.

Publications

Sabrina Guastavino, Michele Piana, Federico Benvenuto
Bad and Good Errors: Value-Weighted Skill Scores in Deep Ensemble Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
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 (2024)
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 (2024)
Fabiana Camattari, Sabrina Guastavino, Francesco Marchetti, Michele Piana, Emma Perracchione
Classifier-dependent feature selection via greedy methods. Stat. Comput. 34 (5) (2024)
Fabiana Camattari, Sabrina Guastavino, Francesco Marchetti, Michele Piana, Emma Perracchione
Greedy feature selection: Classifier-dependent feature selection via greedy methods. CoRR (2024)
Sabrina Guastavino, Valentina Candiani, Alessandro Bemporad, Francesco Marchetti, Federico Benvenuto, Anna Maria Massone, Roberto Susino, Daniele Telloni, Silvano Fineschi, Michele Piana
Physics-driven machine learning for the prediction of coronal mass ejections' travel times. CoRR (2023)
Francesco Marchetti, Sabrina Guastavino, Cristina Campi, Federico Benvenuto, Michele Piana
A comprehensive theoretical framework for the optimization of neural networks classification performance with respect to weighted metrics. CoRR (2023)
Francesco Marchetti, Sabrina Guastavino, Michele Piana, Cristina Campi
Score-Oriented Loss (SOL) functions. Pattern Recognit. 132 (2022)
Sabrina Guastavino, Francesco Marchetti, Federico Benvenuto, Cristina Campi, Michele Piana
Operational solar flare forecasting via video-based deep learning. CoRR (2022)
Sabrina Guastavino, Michele Piana, Federico Benvenuto
Bad and good errors: value-weighted skill scores in deep ensemble learning. CoRR (2021)
Sabrina Guastavino, Francesco Marchetti, Federico Benvenuto, Cristina Campi, Michele Piana
Implementation paradigm for supervised flare forecasting studies: a deep learning application with video data. CoRR (2021)
Sabrina Guastavino, Michele Piana, Marco Tizzi, Federico Cassola, Antonio Iengo, Davide Sacchetti, Enrico Solazzo, Federico Benvenuto
Prediction of severe thunderstorm events with ensemble deep learning and radar data. CoRR (2021)
Francesco Marchetti, Sabrina Guastavino, Michele Piana, Cristina Campi
Score-oriented loss (SOL) functions. CoRR (2021)
Sabrina Guastavino, Federico Benvenuto
Convergence Rates of Spectral Regularization Methods: A Comparison between Ill-Posed Inverse Problems and Statistical Kernel Learning. SIAM J. Numer. Anal. 58 (6) (2020)
Sabrina Guastavino, Michele Piana, Anna Maria Massone, Richard A. Schwartz, Federico Benvenuto
Desaturating EUV observations of solar flaring storms. CoRR (2019)
Sabrina Guastavino, Federico Benvenuto
A consistent and numerically efficient variable selection method for sparse Poisson regression with applications to learning and signal recovery. Stat. Comput. 29 (3) (2019)