3 citations · 7 across the 3 of their papers we have counts for
3 papers
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…
cs.DS2017★ 1 cited
On rescheduling due to machine disruption while to minimize the total weighted completion time
Wenchang Luo, Taibo Luo, Randy Goebel +1
We investigate a single machine rescheduling problem that arises from an unexpected machine unavailability, after the given set of jobs has already been scheduled to minimize the t…
cs.AI2013★ 3 cited
Integrating Probabilistic, Taxonomic and Causal Knowledge in Abductive Diagnosis
Dekang Lin, Randy Goebel
We propose an abductive diagnosis theory that integrates probabilistic, causal and taxonomic knowledge. Probabilistic knowledge allows us to select the most likely explanation; cau…