139 citations · 141 across the 2 of their papers we have counts for
2 papers
cs.CL2021★ 2 cited
Quantifying Explainability in NLP and Analyzing Algorithms for Performance-Explainability Tradeoff
Mitchell Naylor, Christi French, Samantha Terker +1
The healthcare domain is one of the most exciting application areas for machine learning, but a lack of model transparency contributes to a lag in adoption within the industry. In…
physics.soc-ph2006★ 139 cited
Topology of Foreign Exchange Markets using Hierarchical Structure Methods
Michael J. Naylor, Lawrence C. Rose, Brendan J. Moyle
This paper uses two hierarchical techniques, a minimal spanning tree and an ultrametric hierarchical tree, to extract a topological influence map for major currencies from the ultr…