15 citations · 31 across the 6 of their papers we have counts for
3 papers · 1 filter
Model Agnostic Explainable Selective Regression via Uncertainty Estimation
Andrea Pugnana, Carlos Mougan, Dan Saattrup Nielsen
With the wide adoption of machine learning techniques, requirements have evolved beyond sheer high performance, often requiring models to be trustworthy. A common approach to incre…
MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset
Dan Saattrup Nielsen, Ryan McConville
Misinformation is becoming increasingly prevalent on social media and in news articles. It has become so widespread that we require algorithmic assistance utilising machine learnin…
Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap
Carlos Mougan, Dan Saattrup Nielsen
Monitoring machine learning models once they are deployed is challenging. It is even more challenging to decide when to retrain models in real-case scenarios when labeled data is b…