Quantum machine learning has experienced significant progress in both software and
hardware development in the recent years and has emerged as an applicable area of near …

Cancer is a fatal disease that affects people of all ages, including children. It is one of the
leading causes of death worldwide. According to World Health Organization, an estimated …

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 …

Mining ubiquitous sensing data is important but also challenging, due to many factors, such
as heterogeneous large-scale data that is often at various levels of abstraction. This also …

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 …

Feature selection is an important solution for dealing with high-dimensional data in the fields
of machine learning and data mining. In this paper, we present an improved mountain …

The paper presents the proposed research methodology, dedicated to the application of
greedy heuristics as a way of gathering information about available features. Discovered …

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 the paper, an approach for decision rules construction is proposed. It is studied from the
point of view of the supervised machine learning task, ie, classification, and from the point of …

This article describes an action rule induction Algorithm based on a sequential covering.
Two variants of the Algorithm are presented. The Algorithm allows the action rule induction …