24 citations · 27 across the 5 of their papers we have counts for
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stat.ML2019★ 24 cited
On the Validity of Bayesian Neural Networks for Uncertainty Estimation
John Mitros, Brian Mac Namee
Deep neural networks (DNN) are versatile parametric models utilised successfully in a diverse number of tasks and domains. However, they have limitations---particularly from their…
cs.LG2019★ 1 cited
A Categorisation of Post-hoc Explanations for Predictive Models
John Mitros, Brian Mac Namee
The ubiquity of machine learning based predictive models in modern society naturally leads people to ask how trustworthy those models are? In predictive modeling, it is quite commo…