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Journal Articles
- 2024
[j5]Fabiana Camattari, Sabrina Guastavino, Francesco Marchetti, Michele Piana, Emma Perracchione:
Classifier-dependent feature selection via greedy methods. Stat. Comput. 34(5): 151 (2024)- [j4]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): 1993-2002 (2024) - 2022
- [j3]Francesco Marchetti, Sabrina Guastavino, Michele Piana, Cristina Campi:
Score-Oriented Loss (SOL) functions. Pattern Recognit. 132: 108913 (2022) - 2020
- [j2]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): 3504-3529 (2020) - 2019
- [j1]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): 501-516 (2019)
Informal and Other Publications
- 2024
- [i13]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 abs/2401.01104 (2024) - [i12]Fabiana Camattari, Sabrina Guastavino, Francesco Marchetti, Michele Piana, Emma Perracchione:
Greedy feature selection: Classifier-dependent feature selection via greedy methods. CoRR abs/2403.05138 (2024) - [i11]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 abs/2403.09847 (2024) - [i10]Grégoire Francisco, Sabrina Guastavino, Teresa Barata, João Fernandes, Dario Del Moro:
Multimodal Flare Forecasting with Deep Learning. CoRR abs/2410.16116 (2024) - [i9]Edoardo Legnaro, Sabrina Guastavino, Michele Piana, Anna Maria Massone:
Deep Learning for Active Region Classification: A Systematic Study from Convolutional Neural Networks to Vision Transformers. CoRR abs/2410.17816 (2024) - 2023
- [i8]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 abs/2305.10057 (2023) - [i7]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 abs/2305.13472 (2023) - 2022
- [i6]Sabrina Guastavino, Francesco Marchetti, Federico Benvenuto, Cristina Campi, Michele Piana:
Operational solar flare forecasting via video-based deep learning. CoRR abs/2209.05128 (2022) - 2021
- [i5]Sabrina Guastavino, Michele Piana, Federico Benvenuto:
Bad and good errors: value-weighted skill scores in deep ensemble learning. CoRR abs/2103.02881 (2021) - [i4]Francesco Marchetti, Sabrina Guastavino, Michele Piana, Cristina Campi:
Score-oriented loss (SOL) functions. CoRR abs/2103.15522 (2021) - [i3]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 abs/2109.09791 (2021) - [i2]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 abs/2110.12554 (2021) - 2019
- [i1]Sabrina Guastavino, Michele Piana, Anna Maria Massone, Richard A. Schwartz, Federico Benvenuto:
Desaturating EUV observations of solar flaring storms. CoRR abs/1904.04211 (2019)
Coauthor Index
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