5 citations · 7 across the 5 of their papers we have counts for
7 papers
LineSmooth: An Analytical Framework for Evaluating the Effectiveness of Smoothing Techniques on Line Charts
Paul Rosen, Ghulam Jilani Quadri
We present a comprehensive framework for evaluating line chart smoothing methods under a variety of visual analytics tasks. Line charts are commonly used to visualize a series of d…
Modeling the Influence of Visual Density on Cluster Perception in Scatterplots Using Topology
Ghulam Jilani Quadri, Paul Rosen
Scatterplots are used for a variety of visual analytics tasks, including cluster identification, and the visual encodings used on a scatterplot play a deciding role on the level of…
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…
Mesh Learning Using Persistent Homology on the Laplacian Eigenfunctions
Yunhao Zhang, Haowen Liu, Paul Rosen +1
We use persistent homology along with the eigenfunctions of the Laplacian to study similarity amongst triangulated 2-manifolds. Our method relies on studying the lower-star filtrat…
The Shape of an Image: A Study of Mapper on Images
Alejandro Robles, Mustafa Hajij, Paul Rosen
We study the topological construction called Mapper in the context of simply connected domains, in particular on images. The Mapper construction can be considered as a generalizati…
Visual Detection of Structural Changes in Time-Varying Graphs Using Persistent Homology
Mustafa Hajij, Bei Wang, Carlos Scheidegger +1
Topological data analysis is an emerging area in exploratory data analysis and data mining. Its main tool, persistent homology, has become a popular technique to study the structur…