This work describes the TrueLearn Python library, which contains a famil...
Solar PV yield nowcasting is used to help anticipate peaks and troughs i...
This work explores how population-based engagement prediction can addres...
Prior research has shown how 'content preview tools' improve speed and
a...
In informational recommenders, many challenges arise from the need to ha...
Artificial Intelligence (AI) in Education has been said to have the pote...
Artifical Intelligence (AI) in Education has great potential for buildin...
A learning method is self-certified if it uses all available data to
sim...
Recent works have investigated deep learning models trained by optimisin...
Educational recommenders have received much less attention in comparison...
Increasing popularity of high-dynamic-range (HDR) image and video conten...
Many practical machine learning tasks can be framed as Structured predic...
With the emergence of e-learning and personalised education, the product...
This paper presents empirical studies regarding training probabilistic n...
The explosion of Open Educational Resources (OERs) in the recent years
c...
Pairwise comparison data arise in many domains with subjective assessmen...
One of the most ambitious use cases of computer-assisted learning is to ...
The recent advances in computer-assisted learning systems and the
availa...
Data augmentation is rapidly gaining attention in machine learning. Synt...
Weather and atmospheric patterns are often persistent. The simplest weat...
Most popular strategies to capture subjective judgments from humans invo...