Keynote Speakers

We are very pleased to have acquired the services of an excellent selection of keynote speakers for the symposium The speakers and the titles of their talks are shown below.

Beata Zielosko

University of Silesia, Poland

When Decisions Are Blocked: Learning Inhibitory Rules from Tree Ensembles
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Beata Zielosko

University of Silesia, Poland

When Decisions Are Blocked: Learning Inhibitory Rules from Tree Ensembles

Abstract:

Decision trees and rule-based systems are widely used in various tasks related to classification and knowledge representation. Their great advantage is the interpretable and structured way of modelling decision-making processes. Tree structure facilitates the representation of knowledge in the form of rules, making it easy to understand, analyze, and explain, even for those without expertise in a particular field.

Inhibitory rules complement this approach by explicitly modelling constraints or exceptions that prevent certain conclusions from being drawn when specific conditions are met. Unlike standard decision rules, inhibitory rules have a consequent in the form of: “attribute ̸= decision” and often suggest insights not captured by traditional decision rules.

During the lecture, the challenging problems of extracting inhibitory rules from a set of decision trees will be considered. The proposed method can be applied in scenarios involving multiple local and distributed data sources represented as decision trees, where the goal is to extract knowledge that is important for all these sources and can be used both locally and globally. The main objective is to identify patterns that reflect knowledge common to most data sources, while also being applicable at the level of individual sources.

Biography:

Beata Zielosko works as Associate Professor at University of Silesia in Katowice. She is the head of the research group dealing with decision rules in knowledge discovery and representation. From October 2022, she has served as deputy director of the Institute of Computer Science at the Faculty of Science and Technology of the University of Silesia in Katowice. From 2011 to 2013, she worked as a senior research scientist at King Abdullah University of Science and Technology in Saudi Arabia.

Beata Zielosko is a co-author of four research monographs published by Springer and over 60 papers published in journals and international conference proceedings. She is also a co-editor of the PP-RAI 2025 and IJCRS 2017 proceedings and co-editor of an international monograph on feature selection. She is a member of the International Rough Set Society, KES International and the Polish Artificial Intelligence Society. Her research interests include pattern recognition, knowledge discovery, feature selection, rough sets methods for data processing and artificial intelligence.