Low-count time series describe sparse or intermittent events, which are
...
At present, the educational data mining community lacks many tools neede...
Randomised control trials are currently the definitive gold standard app...
Explicitly modelling field interactions and correlations in complex docu...
Cross-lingual text representations have gained popularity lately and act...
In this work we aim to provide machine learning practitioners with tools...
Ranking tasks are usually based on the text of the main body of the page...
Multi-language recipe personalisation and recommendation is an under-exp...
There is a pressing need to automatically understand the state and
progr...
This paper describes HyperStream, a large-scale, flexible and robust sof...
This paper extends the class of ordinal regression models with a structu...
It was recently shown that neural ordinary differential equation models
...
Learning with Label Proportions (LLP) is the problem of recovering the
u...
The SPHERE project has developed a multi-modal sensor platform for healt...
There is a widely-accepted need to revise current forms of health-care
p...