Sabrina Guastavino

According to our database, Sabrina Guastavino authored at least 22 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Weak convergence rates for spectral regularization via sampling inequalities.

Sabrina Guastavino, Gabriele Santin, Francesco Marchetti, Federico Benvenuto

CoRR, December, 2025

The Multiclass Score-Oriented Loss (MultiSOL) on the Simplex.

Francesco Marchetti, Edoardo Legnaro, Sabrina Guastavino

CoRR, November, 2025

Multiclass threshold-based classification and model evaluation.

Edoardo Legnaro, Sabrina Guastavino, Francesco Marchetti

CoRR, November, 2025

Feature Understanding and Sparsity Enhancement via 2-Layered kernel machines (2L-FUSE).

Fabiana Camattari, Sabrina Guastavino, Francesco Marchetti, Emma Perracchione

CoRR, September, 2025

Physics-informed features in supervised machine learning.

Margherita Lampani, Sabrina Guastavino, Michele Piana, Federico Benvenuto

CoRR, April, 2025

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

Francesco Marchetti, Sabrina Guastavino, Cristina Campi, Federico Benvenuto, Michele Piana

Optim. Lett., January, 2025

AI-Based Modular Warning Machine for Risk Identification in Proximity Healthcare.

Chiara Razzetta, Shahryar Noei, Federico Barbarossa, Edoardo Spairani, Monica Roascio, Elisa Barbi, Giulia Ciacci, Sara Sommariva, Sabrina Guastavino, Michele Piana, Matteo Lenge, Gabriele Arnulfo, Giovanni Magenes, Elvira Maranesi, Giulio Amabili, Anna Maria Massone, Federico Benvenuto, Giuseppe Jurman, Diego Sona, Cristina Campi

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2025

2024

Classifier-dependent feature selection via greedy methods.

Fabiana Camattari, Sabrina Guastavino, Francesco Marchetti, Michele Piana, Emma Perracchione

Stat. Comput., October, 2024

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

Sabrina Guastavino, Michele Piana, Federico Benvenuto

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Deep Learning for Active Region Classification: A Systematic Study from Convolutional Neural Networks to Vision Transformers.

Edoardo Legnaro, Sabrina Guastavino, Michele Piana, Anna Maria Massone

CoRR, 2024

Multimodal Flare Forecasting with Deep Learning.

Grégoire Francisco, Sabrina Guastavino, Teresa Barata, João Fernandes, Dario Del Moro

CoRR, 2024

Forecasting Geoffective Events from Solar Wind Data and Evaluating the Most Predictive Features through Machine Learning Approaches.

Sabrina Guastavino, Katsiaryna Bahamazava, Emma Perracchione, Fabiana Camattari, Gianluca Audone, Daniele Telloni, Roberto Susino, Gianalfredo Nicolini, Silvano Fineschi, Michele Piana, Anna Maria Massone

CoRR, 2024

Greedy feature selection: Classifier-dependent feature selection via greedy methods.

Fabiana Camattari, Sabrina Guastavino, Francesco Marchetti, Michele Piana, Emma Perracchione

CoRR, 2024

AI-FLARES: Artificial Intelligence for the Analysis of Solar Flares Data.

Michele Piana, Federico Benvenuto, Anna Maria Massone, Cristina Campi, Sabrina Guastavino, Francesco Marchetti, Paolo Massa, Emma Perracchione, Anna Volpara

CoRR, 2024

2023

Physics-driven machine learning for the prediction of coronal mass ejections' travel times.

Sabrina Guastavino, Valentina Candiani, Alessandro Bemporad, Francesco Marchetti, Federico Benvenuto, Anna Maria Massone, Roberto Susino, Daniele Telloni, Silvano Fineschi, Michele Piana

CoRR, 2023

2022

Score-Oriented Loss (SOL) functions.

Francesco Marchetti, Sabrina Guastavino, Michele Piana, Cristina Campi

Pattern Recognit., 2022

Operational solar flare forecasting via video-based deep learning.

Sabrina Guastavino, Francesco Marchetti, Federico Benvenuto, Cristina Campi, Michele Piana

CoRR, 2022

2021

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

Sabrina Guastavino, Francesco Marchetti, Federico Benvenuto, Cristina Campi, Michele Piana

CoRR, 2021

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

Sabrina Guastavino, Michele Piana, Marco Tizzi, Federico Cassola, Antonio Iengo, Davide Sacchetti, Enrico Solazzo, Federico Benvenuto

CoRR, 2021

2020

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

Sabrina Guastavino, Federico Benvenuto

SIAM J. Numer. Anal., 2020

2019

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

Sabrina Guastavino, Federico Benvenuto

Stat. Comput., 2019

Desaturating EUV observations of solar flaring storms.

Sabrina Guastavino, Michele Piana, Anna Maria Massone, Richard A. Schwartz, Federico Benvenuto

CoRR, 2019