DC
Daniele Corradini
Research areas: Earth and Planetary Sciences · Atmospheric Science · Precipitation Measurement and Analysis · Atmospheric aerosols and clouds · Meteorological Phenomena and Simulations
0009-0004-1882-9754
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Publications (11)
- Identifying Cloud Regimes and Their Transitions Related to Extreme Precipitation and Hail Events over the Alps Through Self-Supervised Learning Save
- Insights into convection over the Alps exploiting multisensor multiplatform observations and deep learning methods Save
- Learning Convective Cloud Structures from Satellite Data for Severe Weather Analysis and Model Evaluation over the Alps Save
- Learning about (hail-) storm development exploiting supervised and self-supervised deep learning and MSG imagery Save
- Self-supervised cloud classification using satellite infrared imagery to characterize extreme precipitation events over the Alps Save
- Self-supervised deep-learning of cloud spatio-temporal features to improve understanding of processes and evolutions of cloud organizations. Save
- High-resolution model evaluation with self-supervised neural network approach targeted on severe storms over the Alps Save
- Investigation of climatic changes for hailstorms over the Alps using spatiotemporal satellite imagery and self-supervised machine learning Save
- The Extreme Rainfall Events of the 2020 Typhoon Season in Vietnam as Seen by Seven Different Precipitation Products Save
- Challenges in the Use of Artificial Intelligence for Prostate Cancer Diagnosis from Multiparametric Imaging Data Save
- Identifying Cloud Regimes and Their Transitions Related to Extreme Precipitation Events over the Alps Through Self-Supervised Learning Save