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Federica Torrisi
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Classifying major explosions and paroxysms at Stromboli volcano (Italy) from space
C Corradino, E Amato, F Torrisi, S Calvari, C Del Negro
Remote Sensing 13 (20), 4080, 2021
152021
Characterization of volcanic cloud components using machine learning techniques and SEVIRI infrared images
F Torrisi, E Amato, C Corradino, S Mangiagli, C Del Negro
Sensors 22 (20), 7712, 2022
122022
Data-driven random forest models for detecting volcanic hot spots in Sentinel-2 MSI images
C Corradino, E Amato, F Torrisi, C Del Negro
Remote Sensing 14 (17), 4370, 2022
122022
A Deep convolutional neural network for detecting volcanic thermal anomalies from satellite images
E Amato, C Corradino, F Torrisi, C Del Negro
Remote Sensing 15 (15), 3718, 2023
102023
Mapping lava flows at Etna Volcano using Google Earth Engine, open-access satellite data, and machine learning
E Amato, C Corradino, F Torrisi, C Del Negro
2021 International Conference on Electrical, Computer, Communications and …, 2021
102021
Multi-parametric study of an eruptive phase comprising unrest, major explosions, crater failure, pyroclastic density currents and lava flows: Stromboli volcano, 1 December 2020 …
S Calvari, F Di Traglia, G Ganci, V Bruno, F Ciancitto, B Di Lieto, ...
Frontiers in Earth Science 10, 899635, 2022
82022
Towards an automatic generalized machine learning approach to map lava flows
C Corradino, E Amato, F Torrisi, C Del Negro
2021 17th International Workshop on Cellular Nanoscale Networks and their …, 2021
82021
Cell counting and velocity algorithms for hydrodynamic study of unsteady biological flows in micro-channels
F Torrisi, G Stella, FM Guarino, M Bucolo
Biomicrofluidics 17 (1), 2023
52023
Detecting volcanic ash plume components from space using machine learning techniques
F Torrisi, F Folzani, C Corradino, E Amato, C Del Negro
Authorea Preprints, 2022
52022
Automatic detection of volcanic ash clouds using MSG-SEVIRI satellite data and machine learning techniques
F Torrisi
Il Nuovo Cimento C, 2022
52022
The FastVRP automatic platform for the thermal monitoring of volcanic activity using VIIRS and SLSTR sensors: FastFRP to monitor volcanic radiative power
F Torrisi, E Amato, C Corradino, C Del Negro
Annals of Geophysics, 2022
42022
Spectral analysis of lava flows: Temporal and physicochemical effects
E Amato, C Corradino, F Torrisi, C Del Negro
Il Nuovo Cimento C, 2023
32023
Combined Use of Satellite Data and Machine Learning for Detecting, Measuring, and Monitoring Active Lava Flows at Etna Volcano
E Amato, C Corradino, F Torrisi, C Del Negro
Authorea Preprints, 2022
32022
Support Vector Machine for volcano hazard monitoring from space at Mount Etna
C Del Negro, E Amato, F Torrisi, C Corradino, M Bucolo, L Fortuna
2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON), 627-631, 2022
32022
Cascading machine learning to monitor volcanic thermal activity using orbital infrared data: From detection to quantitative evaluation
S Cariello, C Corradino, F Torrisi, C Del Negro
Remote Sensing 16 (1), 171, 2023
22023
Enhancing detection of volcanic ash clouds from space with convolutional neural networks
F Torrisi, C Corradino, S Cariello, C Del Negro
Journal of Volcanology and Geothermal Research 448, 108046, 2024
12024
On Artificial Intelligence-based emulators of physical models to forecast the evolution of lava flows
V Zago, E Amato, S Cariello, C Corradino, F Torrisi, C Del Negro
EGU General Assembly Conference Abstracts, EGU-16305, 2023
12023
Volcano Hazard Monitoring at Mount Etna Using Multispectral Satellite Imagery and Artificial Intelligence
C Del Negro, E Amato, C Corradino, F Torrisi, MS Ramsey
AGU Fall Meeting Abstracts 2022, V51D-01, 2022
12022
Assessing the elements at risk in volcanic areas by combining deep convolutional neural network and multispectral satellite images
C Corradino, A Pious, E Amato, F Torrisi, M Bucolo, L Fortuna, ...
EGU General Assembly Conference Abstracts, EGU22-4568, 2022
12022
Joint use of machine learning and geostationary satellite data for volcanic ash cloud detection
F Torrisi, C Corradino, S Cariello, T Lopez, C Del Negro
EGU24, 2024
2024
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