24 citations · 61 across the 28 of their papers we have counts for
Showing 2020Show all
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q-bio.QM2020
Can We Detect Mastitis earlier than Farmers?
Cathal Ryan, Christophe Guéret, Donagh Berry +1
The aim of this study was to build a modelling framework that would allow us to be able to detect mastitis infections before they would normally be found by farmers through the int…
stat.ML2020
Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings
John Mitros, Arjun Pakrashi, Brian Mac Namee
Deep neural networks have been successful in diverse discriminative classification tasks, although, they are poorly calibrated often assigning high probability to misclassified pre…
cs.LG2020
Deep Context-Aware Novelty Detection
Ellen Rushe, Brian Mac Namee
A common assumption of novelty detection is that the distribution of both "normal" and "novel" data are static. This, however, is often not the case - for example scenarios where d…