Search Results for author: Abd AlRahman AlMomani

Found 4 papers, 1 papers with code

ERFit: Entropic Regression Fit Matlab Package, for Data-Driven System Identification of Underlying Dynamic Equations

1 code implementation6 Oct 2020 Abd AlRahman AlMomani, Erik Bollt

Data-driven sparse system identification becomes the general framework for a wide range of problems in science and engineering.

BIG-bench Machine Learning regression

Data-Driven Learning of Boolean Networks and Functions by Optimal Causation Entropy Principle (BoCSE)

no code implementations1 Jun 2020 Jie Sun, Abd AlRahman AlMomani, Erik Bollt

Automated learning of a Boolean network and Boolean functions, from data, is a challenging task due in part to the large number of unknowns (including both the structure of the network and the functions) to be estimated, for which a brute force approach would be exponentially complex.

Decision Making feature selection

An Early Warning Sign of Critical Transition in The Antarctic Ice Sheet -- A Data Driven Tool for Spatiotemporal Tipping Point

no code implementations21 Apr 2020 Abd AlRahman AlMomani, Erik Bollt

Our recently developed tool, called Directed Affinity Segmentation was originally designed for data-driven discovery of coherent sets in fluidic systems.

Benchmarking Clustering

Go With the Flow, on Jupiter and Snow. Coherence From Model-Free Video Data without Trajectories

no code implementations25 Aug 2016 Abd AlRahman AlMomani, Erik M. Bollt

We describe an image processing perspective inference of coherent sets from a fluidic system directly from image data, without attempting to first model underlying flow fields, related to a concept in image processing called motion tracking.

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