The ability to discern between true and false information is essential t...
Our surrounding environment impacts our cognitive-emotional processes on...
Technology based screentime, the time an individual spends engaging with...
Video represents the majority of internet traffic today leading to a
con...
Data-efficiency and generalization are key challenges in deep learning a...
Self-supervised or weakly supervised models trained on large-scale datas...
Egocentric visual context detection can support intelligence augmentatio...
Reliability of machine learning (ML) systems is crucial in safety-critic...
The problem of missing data has been persistent for a long time and pose...
Reliability in Neural Networks (NNs) is crucial in safety-critical
appli...
Understanding and quantifying uncertainty in black box Neural Networks (...
Alzheimer's disease is estimated to affect around 50 million people worl...
Personalized Active Learner (PAL) is a wearable system for real-time,
pe...
We present the first real-time sleep staging system that uses deep learn...