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20182022
most citedChatter Diagnosis in Milling Using Supervised Learning and Topological Features Vector

17 citations · 32 across the 4 of their papers we have counts for

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5 papers · 1 filter

cs.CG2020

Using Zigzag Persistent Homology to Detect Hopf Bifurcations in Dynamical Systems

Sarah Tymochko, Elizabeth Munch, Firas A. Khasawneh

Bifurcations in dynamical systems characterize qualitative changes in the system behavior. Therefore, their detection is important because they can signal the transition from norma…

cs.CG2020

Fast and Scalable Complex Network Descriptor Using PageRank and Persistent Homology

Mustafa Hajij, Elizabeth Munch, Paul Rosen

The PageRank of a graph is a scalar function defined on the node set of the graph which encodes nodes centrality information of the graph. In this article, we use the PageRank func…

cs.CG20198 cited

Adaptive Partitioning for Template Functions on Persistence Diagrams

Sarah Tymochko, Elizabeth Munch, Firas A. Khasawneh

As the field of Topological Data Analysis continues to show success in theory and in applications, there has been increasing interest in using tools from this field with methods fo…

cs.CG2019

A Structural Average of Labeled Merge Trees for Uncertainty Visualization

Lin Yan, Yusu Wang, Elizabeth Munch +2

Physical phenomena in science and engineering are frequently modeled using scalar fields. In scalar field topology, graph-based topological descriptors such as merge trees, contour…

cs.CG2018

Computing Wasserstein Distance for Persistence Diagrams on a Quantum Computer

Jesse J. Berwald, Joel M. Gottlieb, Elizabeth Munch

Persistence diagrams are a useful tool from topological data analysis which can be used to provide a concise description of a filtered topological space. What makes them even more…