no code implementations • 10 Sep 2021 • Maria Elena Innocenti, Jorge Amaya, Joachim Raeder, Romain Dupuis, Banafsheh Ferdousi, Giovanni Lapenta
We present an unsupervised classification method for magnetospheric regions, that could constitute the first-step of a multi-step method for the automatic identification of magnetospheric processes of interest.
no code implementations • 19 Apr 2021 • Madalina Ciortan, Romain Dupuis, Thomas Peel
We propose a framework using contrastive learning as a pre-training task to perform image classification in the presence of noisy labels.
no code implementations • 28 Apr 2020 • Jorge Amaya, Romain Dupuis, Maria Elena Innocenti, Giovanni Lapenta
The manual and semi-automatic classification of millions of hours of solar wind data from multiple missions can be replaced by automatic algorithms that can discover, in mountains of multi-dimensional data, the real differences in the solar wind properties.
Space Physics Solar and Stellar Astrophysics