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 | 15 | 2021 |
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 | 12 | 2022 |
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 | 12 | 2022 |
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 | 10 | 2023 |
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 | 10 | 2021 |
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 | 8 | 2022 |
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 | 8 | 2021 |
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 | 5 | 2023 |
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 | 5 | 2022 |
Automatic detection of volcanic ash clouds using MSG-SEVIRI satellite data and machine learning techniques F Torrisi Il Nuovo Cimento C, 2022 | 5 | 2022 |
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 | 4 | 2022 |
Spectral analysis of lava flows: Temporal and physicochemical effects E Amato, C Corradino, F Torrisi, C Del Negro Il Nuovo Cimento C, 2023 | 3 | 2023 |
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 | 3 | 2022 |
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 | 3 | 2022 |
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 | 2 | 2023 |
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 | 1 | 2024 |
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 | 1 | 2023 |
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 | 1 | 2022 |
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 | 1 | 2022 |
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 |