46 citations · 163 across the 13 of their papers we have counts for
4 papers · 1 filter
Automatic classification of plasma regions in near-Earth space with supervised machine learning: application to Magnetospheric Multi Scale 2016-2019 observations
Hugo Breuillard, Romain Dupuis, Alessandro Retino +3
The proper classification of plasma regions in near-Earth space is crucial to perform unambiguous statistical studies of fundamental plasma processes such as shocks, magnetic recon…
Dynamic Time Warping as a New Evaluation for Dst Forecast with Machine Learning
Brecht Laperre, Jorge Amaya, Giovanni Lapenta
Models based on neural networks and machine learning are seeing a rise in popularity in space physics. In particular, the forecasting of geomagnetic indices with neural network mod…
Tokamak disruption prediction using different machine learning techniques
Joost Croonen, Jorge Amaya, Giovanni Lapenta
Disruption prediction and mitigation is of key importance in the development of sustainable tokamakreactors. Machine learning has become a key tool in this endeavour. In this paper…
Visualizing and Interpreting Unsupervised Solar Wind Classifications
Jorge Amaya, Romain Dupuis, Maria Elena Innocenti +1
One of the goals of machine learning is to eliminate tedious and arduous repetitive work. The manual and semi-automatic classification of millions of hours of solar wind data from…