Sabrina Guastavino

26 papers Journal 25Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A comprehensive theoretical framework for the optimization of neural networks classification performance with respect to weighted metrics. Optim. Lett. Francesco Marchetti, Sabrina Guastavino, Cristina Campi, Federico Benvenuto, Michele Piana
2025	—	`conf`	AI-Based Modular Warning Machine for Risk Identification in Proximity Healthcare. MetroXRAINE 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
2025	J	`jnl`	AI-based modular warning machine for risk identification in proximity healthcare. CoRR 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
2025	J	`jnl`	Feature Understanding and Sparsity Enhancement via 2-Layered kernel machines (2L-FUSE). CoRR Fabiana Camattari, Sabrina Guastavino, Francesco Marchetti, Emma Perracchione
2025	J	`jnl`	Multiclass threshold-based classification and model evaluation. CoRR Edoardo Legnaro, Sabrina Guastavino, Francesco Marchetti
2025	J	`jnl`	Physics-informed features in supervised machine learning. CoRR Margherita Lampani, Sabrina Guastavino, Michele Piana, Federico Benvenuto
2025	J	`jnl`	The Multiclass Score-Oriented Loss (MultiSOL) on the Simplex. CoRR Francesco Marchetti, Edoardo Legnaro, Sabrina Guastavino
2025	J	`jnl`	Weak convergence rates for spectral regularization via sampling inequalities. CoRR Sabrina Guastavino, Gabriele Santin, Francesco Marchetti, Federico Benvenuto
2024	J	`jnl`	AI-FLARES: Artificial Intelligence for the Analysis of Solar Flares Data. CoRR Michele Piana, Federico Benvenuto, Anna Maria Massone, Cristina Campi, Sabrina Guastavino, Francesco Marchetti, Paolo Massa, Emma Perracchione, Anna Volpara
2024	J	`jnl`	Bad and Good Errors: Value-Weighted Skill Scores in Deep Ensemble Learning. IEEE Trans. Neural Networks Learn. Syst. Sabrina Guastavino, Michele Piana, Federico Benvenuto
2024	J	`jnl`	Classifier-dependent feature selection via greedy methods. Stat. Comput. Fabiana Camattari, Sabrina Guastavino, Francesco Marchetti, Michele Piana, Emma Perracchione
2024	J	`jnl`	Deep Learning for Active Region Classification: A Systematic Study from Convolutional Neural Networks to Vision Transformers. CoRR Edoardo Legnaro, Sabrina Guastavino, Michele Piana, Anna Maria Massone
2024	J	`jnl`	Forecasting Geoffective Events from Solar Wind Data and Evaluating the Most Predictive Features through Machine Learning Approaches. CoRR Sabrina Guastavino, Katsiaryna Bahamazava, Emma Perracchione, Fabiana Camattari, Gianluca Audone, Daniele Telloni, Roberto Susino, Gianalfredo Nicolini, Silvano Fineschi, Michele Piana, Anna Maria Massone
2024	J	`jnl`	Greedy feature selection: Classifier-dependent feature selection via greedy methods. CoRR Fabiana Camattari, Sabrina Guastavino, Francesco Marchetti, Michele Piana, Emma Perracchione
2024	J	`jnl`	Multimodal Flare Forecasting with Deep Learning. CoRR Grégoire Francisco, Sabrina Guastavino, Teresa Barata, João Fernandes, Dario Del Moro
2023	J	`jnl`	A comprehensive theoretical framework for the optimization of neural networks classification performance with respect to weighted metrics. CoRR Francesco Marchetti, Sabrina Guastavino, Cristina Campi, Federico Benvenuto, Michele Piana
2023	J	`jnl`	Physics-driven machine learning for the prediction of coronal mass ejections' travel times. CoRR Sabrina Guastavino, Valentina Candiani, Alessandro Bemporad, Francesco Marchetti, Federico Benvenuto, Anna Maria Massone, Roberto Susino, Daniele Telloni, Silvano Fineschi, Michele Piana
2022	J	`jnl`	Operational solar flare forecasting via video-based deep learning. CoRR Sabrina Guastavino, Francesco Marchetti, Federico Benvenuto, Cristina Campi, Michele Piana
2022	J	`jnl`	Score-Oriented Loss (SOL) functions. Pattern Recognit. Francesco Marchetti, Sabrina Guastavino, Michele Piana, Cristina Campi
2021	J	`jnl`	Bad and good errors: value-weighted skill scores in deep ensemble learning. CoRR Sabrina Guastavino, Michele Piana, Federico Benvenuto
2021	J	`jnl`	Implementation paradigm for supervised flare forecasting studies: a deep learning application with video data. CoRR Sabrina Guastavino, Francesco Marchetti, Federico Benvenuto, Cristina Campi, Michele Piana
2021	J	`jnl`	Prediction of severe thunderstorm events with ensemble deep learning and radar data. CoRR Sabrina Guastavino, Michele Piana, Marco Tizzi, Federico Cassola, Antonio Iengo, Davide Sacchetti, Enrico Solazzo, Federico Benvenuto
2021	J	`jnl`	Score-oriented loss (SOL) functions. CoRR Francesco Marchetti, Sabrina Guastavino, Michele Piana, Cristina Campi
2020	J	`jnl`	Convergence Rates of Spectral Regularization Methods: A Comparison between Ill-Posed Inverse Problems and Statistical Kernel Learning. SIAM J. Numer. Anal. Sabrina Guastavino, Federico Benvenuto
2019	J	`jnl`	A consistent and numerically efficient variable selection method for sparse Poisson regression with applications to learning and signal recovery. Stat. Comput. Sabrina Guastavino, Federico Benvenuto
2019	J	`jnl`	Desaturating EUV observations of solar flaring storms. CoRR Sabrina Guastavino, Michele Piana, Anna Maria Massone, Richard A. Schwartz, Federico Benvenuto