362 citations · 474 across the 19 of their papers we have counts for
4 papers · 1 filter
X-MAP: eXplainable Misclassification Analysis and Profiling for Spam and Phishing Detection
Qi Zhang, Dian Chen, Lance M. Kaplan +4
Misclassifications in spam and phishing detection are very harmful, as false negatives expose users to attacks while false positives degrade trust. Existing uncertainty-based detec…
A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning
Zhen Guo, Zelin Wan, Qisheng Zhang +7
An in-depth understanding of uncertainty is the first step to making effective decisions under uncertainty. Deep/machine learning (ML/DL) has been hugely leveraged to solve complex…
Cumulative and Averaging Fission of Beliefs
Audun Josang
Belief fusion is the principle of combining separate beliefs or bodies of evidence originating from different sources. Depending on the situation to be modelled, different belief f…
The Cumulative Rule for Belief Fusion
Audun Josang
The problem of combining beliefs in the Dempster-Shafer belief theory has attracted considerable attention over the last two decades. The classical Dempster's Rule has often been c…