| 2026 | ICCS | Greedy Algorithm for Modeling Approximate Decision Trees for Distributed Decision Tables. | Azimkhon Ostonov, Mikhail Moshkov, Beata Zielosko |
| 2026 | ICCS | Optimization of Inhibitory Rules. | Azimkhon Ostonov, Beata Zielosko, Kamil Jablonski, Kamil Magiera, Mikhail Moshkov |
| 2026 | ICCS | When Decisions Are Blocked: Inhibitory Rules Induced from Tree Ensembles. | Beata Zielosko, Anton Dmytrenko, Azimkhon Ostonov, Mikhail Moshkov |
| 2025 | ICCS | Preserving Informative Content of Condition Attributes in Data Transformations for CRSA. | Urszula Stanczyk, Beata Zielosko, Grzegorz Baron |
| 2025 | ICCS | Decision-Making of Homogeneous Multiple Classifiers Based on Attribute Characterisation by Discretisation. | Urszula Stanczyk, Beata Zielosko, Grzegorz Baron |
| 2025 | KES | Optimization of Decision Rules Derived from Random Forest. | Evans Teiko Tetteh, Beata Zielosko |
| 2024 | KES | Algorithm A for distributed data Classification. | Evans Teiko Tetteh, Beata Zielosko |
| 2024 | KES | Selected Methods of Feature Selection - Medical Case Study. | Beata Zielosko, Anton Dmytrenko |
| 2024 | KES | Weighting Attributes Based on the Greedy Algorithm Properties. | Beata Zielosko, Urszula Stanczyk, Kamil Jablonski |
| 2023 | FedCSIS | Filtering Decision Rules Driven by Sequential Forward and Backward Selection of Attributes: An Illustrative Example in Stylometric Domain. | Beata Zielosko, Urszula Stanczyk, Kamil Jablonski |
| 2023 | ICCS | Attribute Relevance and Discretisation in Knowledge Discovery: A Study in Stylometric Domain. | Urszula Stanczyk, Beata Zielosko, Grzegorz Baron |
| 2023 | KES | The Employers' Expectations Towards Students' Competencies In The Framework Of Digital Transformation Processes. | Agata Hilarowicz, Beata Zielosko, Malgorzata Mysliwiec |
| 2023 | KES | Decision Rules Induced From Sets of Decision Trees. | Beata Zielosko, Mikhail Moshkov, Anna Glid, Evans Teiko Tetteh |
| 2022 | KES | Common Association Rules for Dispersed Information Systems. | Mikhail Moshkov, Beata Zielosko, Evans Teiko Tetteh |
| 2022 | KES | Ranking of attributes - comparative study based on data from stylometric domain. | Beata Zielosko, Urszula Stanczyk, Krzysztof Zabinski |
| 2022 | KES | Application of selected heuristics in associative classification task. | Beata Zielosko, Evans Teiko Tetteh |
| 2021 | KES | Condition attributes, properties of decision rules, and discretisation: Analysis of relations and dependencies. | Beata Zielosko, Urszula Stanczyk |
| 2021 | KES | Selected approaches for decision rules construction-comparative study. | Beata Zielosko, Krzysztof Zabinski |
| 2020 | KES | Assessing quality of decision reducts. | Urszula Stanczyk, Beata Zielosko |
| 2020 | KES | Reduct-based ranking of attributes. | Beata Zielosko, Urszula Stanczyk |
| 2019 | KES | On Approaches to Discretisation of Stylometric Data and Conflict Resolution in Decision Making. | Urszula Stanczyk, Beata Zielosko |
| 2013 | KES | Optimization of Approximate Inhibitory Rules Relative to Number of Misclassifications. | Fawaz Alsolami, Igor Chikalov, Mikhail Moshkov, Beata Zielosko |
| 2013 | KES | Decision Rules, Trees and Tests for Tables with Many-valued Decisions-comparative Study. | Mohammad Azad, Beata Zielosko, Mikhail Moshkov, Igor Chikalov |
| 2012 | FedCSIS | Tests for Decision Tables with Many-Valued Decisions - Comparative Study. | Mohammad Azad, Igor Chikalov, Mikhail Moshkov, Beata Zielosko |
| 2012 | FedCSIS | Sequential Optimization of γ-Decision Rules. | Beata Zielosko |
| 2012 | KES | Optimization of Approximate Decision Rules Relative to Number of Misclassifications. | Talha Amin, Igor Chikalov, Mikhail Moshkov, Beata Zielosko |
| 2012 | KES | Optimization of Approximate Decision Rules Relative to Number of Misclassifications: Comparison of Greedy and Dynamic Programming Approaches. | Talha Amin, Igor Chikalov, Mikhail Moshkov, Beata Zielosko |