2 papers
cs.LG2024
QUCE: The Minimisation and Quantification of Path-Based Uncertainty for Generative Counterfactual Explanations
Jamie Duell, Monika Seisenberger, Hsuan Fu +1
Deep Neural Networks (DNNs) stand out as one of the most prominent approaches within the Machine Learning (ML) domain. The efficacy of DNNs has surged alongside recent increases in…
cs.AI2022
On Understanding the Influence of Controllable Factors with a Feature Attribution Algorithm: a Medical Case Study
Veera Raghava Reddy Kovvuri, Siyuan Liu, Monika Seisenberger +2
Feature attribution XAI algorithms enable their users to gain insight into the underlying patterns of large datasets through their feature importance calculation. Existing feature…