Medical image segmentation is a challenging task, particularly due to in...
Multiple Instance Learning (MIL) has been widely applied to medical imag...
Multiple Instance Learning (MIL) is a weakly supervised learning paradig...
Network anomaly detection is a very relevant research area nowadays,
esp...
The Gleason scoring system is the primary diagnostic and prognostic tool...
This paper introduces deep Gaussian processes (DGPs) for geophysical
par...
While Deep Neural Networks (DNNs) trained for image and video
super-reso...
In the last years, crowdsourcing is transforming the way classification
...
The popularity of high and ultra-high definition displays has led to the...
Video super-resolution has become one of the most critical problems in v...
Current remote sensing image classification problems have to deal with a...
Recovery of low-rank matrices has recently seen significant activity in ...