Explaining Neural Network Predictions for Functional Data Using Principal Component Analysis and Feature Importance. - Katherine Goode; Daniel Ries; Joshua Zollweg (CoRR, 2020)

Visual diagnostics of an explainer model: Tools for the assessment of LIME explanations. - Katherine Goode; Heike Hofmann (Stat. Anal. Data Min., 2021)

Characterizing climate pathways using feature importance on echo state networks. - Katherine Goode; Daniel Ries; Kellie McClernon (Stat. Anal. Data Min., 2024)

An Explainable Pipeline for Machine Learning with Functional Data. - Katherine Goode; J. Derek Tucker; Daniel Ries; Heike Hofmann (CoRR, 2025)