Ensemble classifier refers to a group of individual classifiers that are cooperatively trained
on data set in a supervised classification problem. In this paper we present a review of …

The goal of sentiment analysis is to determine opinions, emotions, and attitudes presented
in source material. In tweet sentiment analysis, opinions in messages can be typically …

Schistosomiasis is one of the dangerous parasitic diseases that affect the liver tissues
leading to liver fibrosis. Such disease has several levels, which indicate the degree of …

This research proposes a Dynamic Ensemble Learning Algorithm based on K-means
(DELAK) for intensive care unit (ICU) mortality prediction. Nowadays, the widely applied …

In this paper, we propose a novel cluster oriented ensemble classifier generation method
and a Genetic Algorithm based approach to optimize the parameters. In the proposed …

Historical wind power production figures are not available when a new wind farm goes into
power production. It is thus difficult to forecast power productions of such wind farms that is …

Given the use of mobile phones in our day-to-day activities—from basic applications (such
as alarm clocks) to sensitive applications (such as banking)—these devices perform a vital …

The ensemble methods are meta-algorithms that combine several base machine learning
techniques to produce one optimal predictive model. Many existing committees of classifiers …

In many segmentation processes, we assign new cases according to a model that was built
on the basis of past cases. As long as the new cases are “similar enough” to the past cases …

As the maritime traffic is getting denser, the number of encounters is increasing. The aim of
this study is to develop a prediction model to classify encounters as risky or non-risky when …