research
∙
08/04/2021
A Machine-Learning-Ready Dataset Prepared from the Solar and Heliospheric Observatory Mission
We present a Python tool to generate a standard dataset from solar image...
share
research
∙
11/19/2020
Next generation particle precipitation: Mesoscale prediction through machine learning (a case study and framework for progress)
We advance the modeling capability of electron particle precipitation fr...
research
∙
03/11/2020
Estimation of Accurate and Calibrated Uncertainties in Deterministic models
In this paper we focus on the problem of assigning uncertainties to sing...
research
∙
12/02/2019
A gray-box model for a probabilistic estimate of regional ground magnetic perturbations: Enhancing the NOAA operational Geospace model with machine learning
We present a novel algorithm that predicts the probability that time der...
research
∙
03/12/2018