27 citations · 101 across the 7 of their papers we have counts for
8 papers
A Computational Topology-based Spatiotemporal Analysis Technique for Honeybee Aggregation
Golnar Gharooni-Fard, Morgan Byers, Varad Deshmukh +4
A primary challenge in understanding collective behavior is characterizing the spatiotemporal dynamics of the group. We employ topological data analysis to explore the structure of…
Using scaling-region distributions to select embedding parameters
Varad Deshmukh, Robert Meikle, Elizabeth Bradley +2
Reconstructing state-space dynamics from scalar data using time-delay embedding requires choosing values for the delay and the dimension . Both parameters are critical to th…
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…
Towards automated extraction and characterization of scaling regions in dynamical systems
Varad Deshmukh, Elizabeth Bradley, Joshua Garland +1
Scaling regions -- intervals on a graph where the dependent variable depends linearly on the independent variable -- abound in dynamical systems, notably in calculations of invaria…
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…
Using Curvature to Select the Time Lag for Delay Reconstruction
Varad Deshmukh, Elizabeth Bradley, Joshua Garland +1
We propose a curvature-based approach for choosing good values for the time-delay parameter in delay reconstructions. The idea is based on the effects of the delay on the geome…