Anomaly detection (AD) plays an important role in numerous applications....
Although reinforcement learning (RL) has tremendous success in many fiel...
Deployment of machine learning models in real high-risk settings (e.g.
h...
Despite the success of machine learning applications in science, industr...
Yu et al. and Li et al. have proposed the measure-resend protocols of
au...
Generalized additive models (GAMs) have become a leading model class for...
Recent methods for training generalized additive models (GAMs) with pair...
Current clinical practice for monitoring patients' health follows either...
Current clinical practice to monitor patients' health follows either reg...
Explanations of black-box classifiers often rely on saliency maps, which...
Deep neural networks are a promising technology achieving state-of-the-a...