The Kruskal and Wallis one-way analysis of variance by ranks or van der Waerden's normal
score test can be employed, if the data do not meet the assumptions for one-way ANOVA …

One of the most suited techniques for comparing results obtained from computational
intelligence algorithms is the statistical hypothesis testing. This method can be used to …

Abstract Light Detection and Ranging (LiDAR) is a remote sensor able to extract three-
dimensional information. Environmental models in forest areas have been benefited by the …

In recent years, users are becoming increasingly accustomed to using the Internet to gain
software resources in the form of web services provided by information technology …

Data streaming classification has become an essential task in many fields where real-time
decisions have to be made based on incoming information. Neural networks are a …

This work evaluates artificial neural networks' accuracy when used to predict earthquakes
magnitude in Tokyo. Several seismicity indicators have been retrieved from the literature …

Breast cancer is the most frequent cancer in women and the second most frequent overall
after lung cancer. Although the 5-year survival rate of breast cancer is relatively high …

In the past decade the development of automatic intrinsic dimensionality estimators has
gained considerable attention due to its relevance in several application fields. However …

This paper introduces a novel algorithm for big data time series forecasting. Its main novelty
lies in its ability to deal with multivariate data, ie to consider multiple time series …

In software products line (SPL), there may be features which can be implemented by
different components, which means there are several implementations for the same feature …