Time series event detection methods are evaluated mainly by standard
cla...
When mining large datasets in order to predict new data, limitations of ...
Deep learning models have become increasingly useful in many different
i...
Due to its impact, COVID-19 has been stressing the academy to search for...
In this paper, we present a cost-based approach for the automatic select...
Applying machine learning models to meteorological data brings many
oppo...
Scientific applications produce a huge amount of data, which imposes ser...
The drive towards exascale computing is opening an enormous opportunity ...
We consider big spatial data, which is typically produced in scientific ...
In this note we provide a concise report on the complexity of the causal...