activity
20182020
most citedChatter Diagnosis in Milling Using Supervised Learning and Topological Features Vector

17 citations · 30 across the 3 of their papers we have counts for

collaborators

7 papers

math.CT20205 cited

A Relative Theory of Interleavings

Magnus Bakke Botnan, Justin Curry, Elizabeth Munch

The interleaving distance, although originally developed for persistent homology, has been generalized to measure the distance between functors modeled on many posets or even small…

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…

eess.SP201917 cited

Chatter Diagnosis in Milling Using Supervised Learning and Topological Features Vector

Melih C. Yesilli, Sarah Tymochko, Firas A. Khasawneh +1

Chatter detection has become a prominent subject of interest due to its effect on cutting tool life, surface finish and spindle of machine tool. Most of the existing methods in cha…

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…

nlin.CD2019

Persistent Homology of Complex Networks for Dynamic State Detection

Audun Myers, Elizabeth Munch, Firas A. Khasawneh

In this paper we develop a novel Topological Data Analysis (TDA) approach for studying graph representations of time series of dynamical systems. Specifically, we show how persiste…