Intrusion detection systems (IDSs) are intrinsically linked to a comprehensive solution of
cyberattacks prevention instruments. To achieve a higher detection rate, the ability to design …

Supervised learning and pattern recognition is a crucial area of research in information
retrieval, knowledge engineering, image processing, medical imaging, and intrusion …

Label noise is an important issue in classification, with many potential negative
consequences. For example, the accuracy of predictions may decrease, whereas the …

Flash floods are one of the most devastating natural hazards; they occur within a catchment
(region) where the response time of the drainage basin is short. Identification of probable …

In the last years, the application of artificial intelligence methods on credit risk assessment
has meant an improvement over classic methods. Small improvements in the systems about …

The concept of leveraging the predictive capacity of predisposing factors for landslide
susceptibility (LS) modeling has been continuously improved in recent work focusing on …

A Decision Tree (DT) is a potential method for studying traffic accident severity. One of its
main advantages is that Decision Rules (DRs) can be extracted from its structure. And these …

This presents a range of theories about uncertainty, all of them mathematical and allowing
quantitative treatment. A definition of uncertainty is automatically associated with one of …

Assessing landslide susceptibility and predicting the possibility of landslide event is the
foundation and prerequisite for emergency response and management of landslide disaster …

Previous studies about ensembles of classifiers for bankruptcy prediction and credit scoring
have been presented. In these studies, different ensemble schemes for complex classifiers …