GUASTAVINO, SABRINA
GUASTAVINO, SABRINA
100021 - Dipartimento di Matematica
A comprehensive theoretical framework for the optimization of neural networks classification performance with respect to weighted metrics
2024-01-01 Marchetti, F.; Guastavino, S.; Campi, C.; Benvenuto, F.; Piana, M.
A consistent and numerically efficient variable selection method for sparse Poisson regression with applications to learning and signal recovery
2019-01-01 Guastavino, Sabrina; Benvenuto, Federico
A mathematical model for image saturation with an application to the restoration of solar images via adaptive sparse deconvolution
2020-01-01 Guastavino, S.; Benvenuto, F.
Antibiotics and Artificial Intelligence: Clinical Considerations on a Rapidly Evolving Landscape
2025-01-01 Giacobbe, Daniele Roberto; Guastavino, Sabrina; Marelli, Cristina; Murgia, Ylenia; Mora, Sara; Signori, Alessio; Rosso, Nicola; Giacomini, Mauro; Campi, Cristina; Piana, Michele; Bassetti, Matteo
Artificial intelligence and prescription of antibiotic therapy: present and future
2024-01-01 Giacobbe, D. R.; Marelli, C.; Guastavino, S.; Signori, A.; Mora, S.; Rosso, N.; Campi, C.; Piana, M.; Murgia, Y.; Giacomini, M.; Bassetti, M.
Bad and Good Errors: Value-Weighted Skill Scores in Deep Ensemble Learning
2022-01-01 Guastavino, Sabrina; Piana, Michele; Benvenuto, Federico
Classifier-dependent feature selection via greedy methods
2024-01-01 Camattari, Fabiana; Guastavino, Sabrina; Marchetti, Francesco; Piana, Michele; Perracchione, Emma
Convergence Rates of Spectral Regularization Methods: A Comparison between Ill-Posed Inverse Problems and Statistical Kernel Learning
2020-01-01 Guastavino, Sabrina; Benvenuto, Federico
Deep Learning for the Early Diagnosis of Candidemia
2025-01-01 Giacobbe, D. R.; Guastavino, S.; Razzetta, A.; Marelli, C.; Mora, S.; Russo, C.; Brucci, G.; Limongelli, A.; Vena, A.; Mikulska, M.; Signori, A.; Di Biagio, A.; Marchese, A.; Murgia, Y.; Muccio, M.; Rosso, N.; Piana, M.; Giacomini, M.; Campi, C.; Bassetti, M.
Desaturating SDO/AIA Observations of Solar Flaring Storms
2019-01-01 Guastavino, S.; Piana, M.; Massone, A. M.; Schwartz, R.; Benvenuto, F.
Early diagnosis of candidemia with explainable machine learning on automatically extracted laboratory and microbiological data: results of the AUTO-CAND project
2023-01-01 Giacobbe, D. R.; Marelli, C.; Mora, S.; Guastavino, S.; Russo, C.; Brucci, G.; Limongelli, A.; Vena, A.; Mikulska, M.; Tayefi, M.; Peluso, S.; Signori, A.; Di Biagio, A.; Marchese, A.; Campi, C.; Giacomini, M.; Bassetti, M.
Explainable and Interpretable Machine Learning for Antimicrobial Stewardship: Opportunities and Challenges
2024-01-01 Giacobbe, Daniele Roberto; Marelli, Cristina; Guastavino, Sabrina; Mora, Sara; Rosso, Nicola; Signori, Alessio; Campi, Cristina; Giacomini, Mauro; Bassetti, Matteo
Extended drag-based model for better predicting the evolution of coronal mass ejections
2025-01-01 Rossi, M.; Guastavino, S.; Piana, M.; Massone, A. M.
Flare forecasting and feature ranking using SDO/HMI data
2019-01-01 Piana, M.; Campi, C.; Benvenuto, F.; Guastavino, S.; Massone, A. M.
Flare-forecasting Algorithms Based on High-gradient Polarity Inversion Lines in Active Regions
2021-01-01 Cicogna, D.; Berrilli, F.; Calchetti, D.; Del Moro, D.; Giovannelli, L.; Benvenuto, F.; Campi, C.; Guastavino, S.; Piana, M.
Forecasting Geoffective Events from Solar Wind Data and Evaluating the Most Predictive Features through Machine Learning Approaches
2024-01-01 Guastavino, S.; Bahamazava, K.; Perracchione, E.; Camattari, F.; Audone, G.; Telloni, D.; Susino, R.; Nicolini, G.; Fineschi, S.; Piana, M.; Massone, A. M.
Implementation paradigm for supervised flare forecasting studies: A deep learning application with video data
2022-01-01 Guastavino, S.; Marchetti, F.; Benvenuto, F.; Campi, C.; Piana, M.
Learning and inverse problems: from theory to solar physics applications
2020-03-02 Guastavino, Sabrina
Metis Observation of the Onset of Fully Developed Turbulence in the Solar Corona
2024-01-01 Telloni, Daniele; Sorriso-Valvo, Luca; Zank, Gary P.; Velli, Marco; Andretta, Vincenzo; Perrone, Denise; Marino, Raffaele; Carbone, Francesco; Vecchio, Antonio; Adhikari, Laxman; Zhao, Lingling; Guastavino, Sabrina; Camattari, Fabiana; Shi, Chen; Sioulas, Nikos; Huang, Zesen; Romoli, Marco; Antonucci, Ester; Da Deppo, Vania; Fineschi, Silvano; Grimani, Catia; Heinzel, Petr; Moses, John D.; Naletto, Giampiero; Nicolini, Gianalfredo; Spadaro, Daniele; Stangalini, Marco; Teriaca, Luca; Uslenghi, Michela; Abbo, Lucia; Auchère, Frédéric; Cuadrado, Regina Aznar; Berlicki, Arkadiusz; Bruno, Roberto; Burtovoi, Aleksandr; Capobianco, Gerardo; Casini, Chiara; Casti, Marta; Chioetto, Paolo; Corso, Alain J.; D'Amicis, Raffaella; De Leo, Yara; Fabi, Michele; Frassati, Federica; Frassetto, Fabio; Giordano, Silvio; Guglielmino, Salvo L.; Jerse, Giovanna; Landini, Federico; Liberatore, Alessandro; Magli, Enrico; Massone, Giuseppe; Nisticò, Giuseppe; Pancrazzi, Maurizio; Pelizzo, Maria G.; Peter, Hardi; Plainaki, Christina; Poletto, Luca; Reale, Fabio; Romano, Paolo; Russano, Giuliana; Sasso, Clementina; Schühle, Udo; Solanki, Sami K.; Strachan, Leonard; Straus, Thomas; Susino, Roberto; Ventura, Rita; Volpicelli, Cosimo A.; Woch, Joachim; Zangrilli, Luca; Zimbardo, Gaetano; Zuppella, Paola
Operational solar flare forecasting via video-based deep learning
2022-01-01 Guastavino, S.; Marchetti, F.; Benvenuto, F.; Campi, C.; Piana, M.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A comprehensive theoretical framework for the optimization of neural networks classification performance with respect to weighted metrics | 1-gen-2024 | Marchetti, F.; Guastavino, S.; Campi, C.; Benvenuto, F.; Piana, M. | |
| A consistent and numerically efficient variable selection method for sparse Poisson regression with applications to learning and signal recovery | 1-gen-2019 | Guastavino, Sabrina; Benvenuto, Federico | |
| A mathematical model for image saturation with an application to the restoration of solar images via adaptive sparse deconvolution | 1-gen-2020 | Guastavino, S.; Benvenuto, F. | |
| Antibiotics and Artificial Intelligence: Clinical Considerations on a Rapidly Evolving Landscape | 1-gen-2025 | Giacobbe, Daniele Roberto; Guastavino, Sabrina; Marelli, Cristina; Murgia, Ylenia; Mora, Sara; Signori, Alessio; Rosso, Nicola; Giacomini, Mauro; Campi, Cristina; Piana, Michele; Bassetti, Matteo | |
| Artificial intelligence and prescription of antibiotic therapy: present and future | 1-gen-2024 | Giacobbe, D. R.; Marelli, C.; Guastavino, S.; Signori, A.; Mora, S.; Rosso, N.; Campi, C.; Piana, M.; Murgia, Y.; Giacomini, M.; Bassetti, M. | |
| Bad and Good Errors: Value-Weighted Skill Scores in Deep Ensemble Learning | 1-gen-2022 | Guastavino, Sabrina; Piana, Michele; Benvenuto, Federico | |
| Classifier-dependent feature selection via greedy methods | 1-gen-2024 | Camattari, Fabiana; Guastavino, Sabrina; Marchetti, Francesco; Piana, Michele; Perracchione, Emma | |
| Convergence Rates of Spectral Regularization Methods: A Comparison between Ill-Posed Inverse Problems and Statistical Kernel Learning | 1-gen-2020 | Guastavino, Sabrina; Benvenuto, Federico | |
| Deep Learning for the Early Diagnosis of Candidemia | 1-gen-2025 | Giacobbe, D. R.; Guastavino, S.; Razzetta, A.; Marelli, C.; Mora, S.; Russo, C.; Brucci, G.; Limongelli, A.; Vena, A.; Mikulska, M.; Signori, A.; Di Biagio, A.; Marchese, A.; Murgia, Y.; Muccio, M.; Rosso, N.; Piana, M.; Giacomini, M.; Campi, C.; Bassetti, M. | |
| Desaturating SDO/AIA Observations of Solar Flaring Storms | 1-gen-2019 | Guastavino, S.; Piana, M.; Massone, A. M.; Schwartz, R.; Benvenuto, F. | |
| Early diagnosis of candidemia with explainable machine learning on automatically extracted laboratory and microbiological data: results of the AUTO-CAND project | 1-gen-2023 | Giacobbe, D. R.; Marelli, C.; Mora, S.; Guastavino, S.; Russo, C.; Brucci, G.; Limongelli, A.; Vena, A.; Mikulska, M.; Tayefi, M.; Peluso, S.; Signori, A.; Di Biagio, A.; Marchese, A.; Campi, C.; Giacomini, M.; Bassetti, M. | |
| Explainable and Interpretable Machine Learning for Antimicrobial Stewardship: Opportunities and Challenges | 1-gen-2024 | Giacobbe, Daniele Roberto; Marelli, Cristina; Guastavino, Sabrina; Mora, Sara; Rosso, Nicola; Signori, Alessio; Campi, Cristina; Giacomini, Mauro; Bassetti, Matteo | |
| Extended drag-based model for better predicting the evolution of coronal mass ejections | 1-gen-2025 | Rossi, M.; Guastavino, S.; Piana, M.; Massone, A. M. | |
| Flare forecasting and feature ranking using SDO/HMI data | 1-gen-2019 | Piana, M.; Campi, C.; Benvenuto, F.; Guastavino, S.; Massone, A. M. | |
| Flare-forecasting Algorithms Based on High-gradient Polarity Inversion Lines in Active Regions | 1-gen-2021 | Cicogna, D.; Berrilli, F.; Calchetti, D.; Del Moro, D.; Giovannelli, L.; Benvenuto, F.; Campi, C.; Guastavino, S.; Piana, M. | |
| Forecasting Geoffective Events from Solar Wind Data and Evaluating the Most Predictive Features through Machine Learning Approaches | 1-gen-2024 | Guastavino, S.; Bahamazava, K.; Perracchione, E.; Camattari, F.; Audone, G.; Telloni, D.; Susino, R.; Nicolini, G.; Fineschi, S.; Piana, M.; Massone, A. M. | |
| Implementation paradigm for supervised flare forecasting studies: A deep learning application with video data | 1-gen-2022 | Guastavino, S.; Marchetti, F.; Benvenuto, F.; Campi, C.; Piana, M. | |
| Learning and inverse problems: from theory to solar physics applications | 2-mar-2020 | Guastavino, Sabrina | |
| Metis Observation of the Onset of Fully Developed Turbulence in the Solar Corona | 1-gen-2024 | Telloni, Daniele; Sorriso-Valvo, Luca; Zank, Gary P.; Velli, Marco; Andretta, Vincenzo; Perrone, Denise; Marino, Raffaele; Carbone, Francesco; Vecchio, Antonio; Adhikari, Laxman; Zhao, Lingling; Guastavino, Sabrina; Camattari, Fabiana; Shi, Chen; Sioulas, Nikos; Huang, Zesen; Romoli, Marco; Antonucci, Ester; Da Deppo, Vania; Fineschi, Silvano; Grimani, Catia; Heinzel, Petr; Moses, John D.; Naletto, Giampiero; Nicolini, Gianalfredo; Spadaro, Daniele; Stangalini, Marco; Teriaca, Luca; Uslenghi, Michela; Abbo, Lucia; Auchère, Frédéric; Cuadrado, Regina Aznar; Berlicki, Arkadiusz; Bruno, Roberto; Burtovoi, Aleksandr; Capobianco, Gerardo; Casini, Chiara; Casti, Marta; Chioetto, Paolo; Corso, Alain J.; D'Amicis, Raffaella; De Leo, Yara; Fabi, Michele; Frassati, Federica; Frassetto, Fabio; Giordano, Silvio; Guglielmino, Salvo L.; Jerse, Giovanna; Landini, Federico; Liberatore, Alessandro; Magli, Enrico; Massone, Giuseppe; Nisticò, Giuseppe; Pancrazzi, Maurizio; Pelizzo, Maria G.; Peter, Hardi; Plainaki, Christina; Poletto, Luca; Reale, Fabio; Romano, Paolo; Russano, Giuliana; Sasso, Clementina; Schühle, Udo; Solanki, Sami K.; Strachan, Leonard; Straus, Thomas; Susino, Roberto; Ventura, Rita; Volpicelli, Cosimo A.; Woch, Joachim; Zangrilli, Luca; Zimbardo, Gaetano; Zuppella, Paola | |
| Operational solar flare forecasting via video-based deep learning | 1-gen-2022 | Guastavino, S.; Marchetti, F.; Benvenuto, F.; Campi, C.; Piana, M. |