This paper studies the application of ensembles composed of multi-output...
Significant wave height forecasting is a key problem in ocean data analy...
In this paper we address imbalanced binary classification (IBC) tasks.
A...
A time series represents a set of observations collected over time.
Typi...
The predictive advantage of combining several different predictive model...
Evaluating predictive models is a crucial task in predictive analytics. ...
Concept drift detection is a crucial task in data stream evolving
enviro...
The early detection of anomalous events in time series data is essential...
Time series forecasting is a challenging task with applications in a wid...
Time series forecasting is one of the most active research topics. Machi...
Performance estimation aims at estimating the loss that a predictive mod...
Social media are becoming an increasingly important source of informatio...
Machine Learning (ML) has been successfully applied to a wide range of
d...