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...
Machine learning models are becoming increasingly popular in different t...
The predictive advantage of combining several different predictive model...
Evaluating predictive models is a crucial task in predictive analytics. ...
Due to the surge of spatio-temporal data volume, the popularity of
locat...
Concept drift detection is a crucial task in data stream evolving
enviro...
The early detection of anomalous events in time series data is essential...
Large amounts of mobility data are being generated from many different
s...
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...
This document describes the R package UBL that allows the use of several...