Fake news detection (FND) tools are essential to increase the reliability of information in
social media. FND can be approached as a machine learning classification problem so that …

In recent decades, many researchers have directed their focus towards confidence
calibration of deep neural networks because trustworthiness is equally important as …

A rotulagem de dados para treinamento de modelos de aprendizado de máquina está se
tornando cada vez mais inviável devido ao alto volume de dados disponíveis e …

Due to the overwhelming data generation that surpasses human evaluation capacity,
manually labeling data for training machine learning models is becoming increasingly …

The rapid development of mobile Internet has made it widely used. With the wide application
of mobile Internet, it has become easy to obtain news. In the news of converged media …

This research work proposes a novel approach for news classification by integrating
hierarchical clustering and ensemble algorithms. The proposed methodology began with the …