The ability to use eXplainable Artificial Intelligence (XAI) methods is very important for both
AI users and AI developers. This paper presents the RuleXAI library, which provides XAI …

A weighted random survival forest is presented in the paper. It can be regarded as a
modification of the random forest improving its performance. The main idea underlying the …

Action mining is a data mining method that aims to identify recommendations for changing
attribute values that can lead to the classification of data instances as examples of another …

This article presents GuideR, a user-guided rule induction algorithm, which overcomes the
largest limitation of the existing methods—the lack of the possibility to introduce user's …

Rule-based models are often used for data analysis as they combine interpretability with
predictive power. We present RuleKit, a versatile tool for rule learning. Based on a …

In this work we present an Ant Colony Optimization heuristic to find subgroups with
exceptional behavior in time-to-event data. The area of time-to-event or survival data …

Survival data analysis has been leveraged in medical research to study disease morbidity
and mortality, and to discover significant bio-markers affecting them. A crucial objective in …

Survival analysis is widely used in fields such as medical research and reliability
engineering to analyze data where not all subjects experience the event of interest by the …

The current approach to maternal and child healthcare is extremely patient-centred, it
requires costly, risky surveillance and testing before diagnosis besides treatment …

In this study, survival for head and neck cancer disease was estimated using machine
learning methods. Starting from the date on which the head and neck cancer disease was …