40 citations · 91 across the 12 of their papers we have counts for
14 papers
ECoHeN: A Hypothesis Testing Framework for Extracting Communities from Heterogeneous Networks
Connor P. Gibbs, Bailey K. Fosdick, James D. Wilson
Community discovery is the general process of attaining assortative communities from a network: collections of nodes that are densely connected within yet sparsely connected to the…
Interpretable Network Representation Learning with Principal Component Analysis
James D. Wilson, Jihui Lee
We consider the problem of interpretable network representation learning for samples of network-valued data. We propose the Principal Component Analysis for Networks (PCAN) algorit…
Nonparametric Feature Impact and Importance
Terence Parr, James D. Wilson, Jeff Hamrick
Practitioners use feature importance to rank and eliminate weak predictors during model development in an effort to simplify models and improve generality. Unfortunately, they also…
Technical Report: Partial Dependence through Stratification
Terence Parr, James D. Wilson
Partial dependence curves (FPD) introduced by Friedman, are an important model interpretation tool, but are often not accessible to business analysts and scientists who typically l…
Monitoring dynamic networks: a simulation-based strategy for comparing monitoring methods and a comparative study
Lisha Yu, Inez M. Zwetsloot, Nathaniel T. Stevens +2
Recently there has been a lot of interest in monitoring and identifying changes in dynamic networks, which has led to the development of a variety of monitoring methods. Unfortunat…
Analysis of Population Functional Connectivity Data via Multilayer Network Embeddings
James D. Wilson, Melanie Baybay, Rishi Sankar +2
Population analyses of functional connectivity have provided a rich understanding of how brain function differs across time, individual, and cognitive task. An important but challe…