27 citations · 101 across the 7 of their papers we have counts for
4 papers · 1 filter
Machine Learning Approaches to Solar-Flare Forecasting: Is Complex Better?
Varad Deshmukh, Srinivas Baskar, Elizabeth Bradley +2
Recently, there has been growing interest in the use of machine-learning methods for predicting solar flares. Initial efforts along these lines employed comparatively simple models…
Decreasing False Alarm Rates in ML-based Solar Flare Prediction using SDO/HMI Data
Varad Deshmukh, Natasha Flyer, Kiera Van Der Sande +1
A hybrid two-stage machine learning architecture that addresses the problem of excessive false positives (false alarms) in solar flare prediction systems is investigated. The first…
Shape-based Feature Engineering for Solar Flare Prediction
Varad Deshmukh, Thomas Berger, James Meiss +1
Solar flares are caused by magnetic eruptions in active regions (ARs) on the surface of the sun. These events can have significant impacts on human activity, many of which can be m…
Leveraging the Mathematics of Shape for Solar Magnetic Eruption Prediction
V. Deshmukh, T. E. Berger, E. Bradley +1
Current operational forecasts of solar eruptions are made by human experts using a combination of qualitative shape-based classification systems and historical data about flaring f…