8 citations · 11 across the 2 of their papers we have counts for
2 papers
cs.AI2020★ 8 cited
A multi-component framework for the analysis and design of explainable artificial intelligence
S. Atakishiyev, H. Babiker, N. Farruque +6
The rapid growth of research in explainable artificial intelligence (XAI) follows on two substantial developments. First, the enormous application success of modern machine learnin…
cs.AI2017★ 3 cited
Using KL-divergence to focus Deep Visual Explanation
Housam Khalifa Bashier Babiker, Randy Goebel
We present a method for explaining the image classification predictions of deep convolution neural networks, by highlighting the pixels in the image which influence the final class…