Financial fraud models degrade as fraud tactics, customer behaviour and fraud prevalence change, and confirmed labels arrive only after investigation. Financial institutions considering drift-aware models must decide before deployment whether such a policy...
Explainable artificial intelligence is increasingly presented as the mechanism that will make machine learning acceptable in clinical decision support. Yet the leading attribution methods are rarely compared against one another on the same model and data,...
Transfer learning from ImageNet-pretrained convolutional and transformer architectures is the default approach to chest radiograph classification, and the literature reports accuracies above 98% with some regularity. Whether those figures reflect genuine...
The YUKTAB Publisher publishes the Computertech Journal. The Editors of the Journal are members of the Faculty of Computer Science,...
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