| 2026 | ICCS | On Effectiveness of Rule Classifiers Under Transformations of Input Domain. | Urszula Stanczyk, Grzegorz Baron |
| 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 | Constructing classifier committee exploiting transformations of attribute domains. | Urszula Stanczyk, Grzegorz Baron |
| 2024 | KES | Domain-specific data characteristics: A study on meaning of stylometric sub-concepts and in-class imbalance. | Urszula Stanczyk |
| 2024 | KES | Observations of data characteristics and irregularities through domain-oriented transformations of attributes. | Urszula Stanczyk, Grzegorz Baron |
| 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 | How transformations of representation for input data can affect the properties of induced decision reducts and rules. | Urszula Stanczyk |
| 2023 | KES | Should supervised discretisation always be trusted unreservedly? On combining characteristics of supervised and unsupervised discretisation algorithms in two-step processing. | Urszula Stanczyk, Grzegorz Baron |
| 2022 | KES | Evaluation of importance for condition attributes based on quality of decision reducts. | Urszula Stanczyk |
| 2022 | KES | On heterogeneity or sub-classes aspect in construction of stylometric input datasets. | Urszula Stanczyk, Grzegorz Baron |
| 2022 | KES | Ranking of attributes - comparative study based on data from stylometric domain. | Beata Zielosko, Urszula Stanczyk, Krzysztof Zabinski |
| 2021 | KES | Standard vs. non-standard cross-validation: evaluation of performance in a space with structured distribution of datapoints. | Grzegorz Baron, Urszula Stanczyk |
| 2021 | KES | Weighting factor for attributes based on reduct cardinality. | Urszula Stanczyk |
| 2021 | KES | Condition attributes, properties of decision rules, and discretisation: Analysis of relations and dependencies. | Beata Zielosko, Urszula Stanczyk |
| 2020 | KES | Performance evaluation for ranking-based discretisation. | Grzegorz Baron, Urszula Stanczyk |
| 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 |
| 2017 | ISMIS | Filtering Decision Rules with Continuous Attributes Governed by Discretisation. | Urszula Stanczyk |
| 2014 | KES | RELIEF-based Selection of Decision Rules. | Urszula Stanczyk |
| 2013 | ADBIS | Relative Reduct-Based Estimation of Relevance for Stylometric Features. | Urszula Stanczyk |
| 2013 | DEXA | Establishing Relevance of Characteristic Features for Authorship Attribution with ANN. | Urszula Stanczyk |
| 2013 | DEXA | On Preference Order of DRSA Conditional Attributes for Computational Stylistics. | Urszula Stanczyk |
| 2011 | HAIS | On Performance of DRSA-ANN Classifier. | Urszula Stanczyk |
| 2011 | HAIS | Reduct-Based Analysis of Decision Algorithms: Application in Computational Stylistics. | Urszula Stanczyk |
| 2011 | ISMIS | Application of DRSA-ANN Classifier in Computational Stylistics. | Urszula Stanczyk |
| 2010 | HAIS | Rough Set-Based Analysis of Characteristic Features for ANN Classifier. | Urszula Stanczyk |