Indiscernibility Relation for Continuous Attributes: Application in Image Recognition. - Krzysztof A. Cyran; Urszula Stanczyk (RSEISP, 2007)

Relative Reduct-Based Selection of Features for ANN Classifier. - Urszula Stanczyk (ICMMI, 2009)

Dominance-Based Rough Set Approach Employed in Search of Authorial Invariants. - Urszula Stanczyk (Computer Recognition Systems 3, 2009)

Rough Set-Based Analysis of Characteristic Features for ANN Classifier. - Urszula Stanczyk (HAIS (1), 2010)

DRSA Decision Algorithm Analysis in Stylometric Processing of Literary Texts. - Urszula Stanczyk (RSCTC, 2010)

On Performance of DRSA-ANN Classifier. - Urszula Stanczyk (HAIS (2), 2011)

Reduct-Based Analysis of Decision Algorithms: Application in Computational Stylistics. - Urszula Stanczyk (HAIS (2), 2011)

Recognition of Author Gender for Literary Texts. - Urszula Stanczyk (ICMMI, 2011)

Rule-Based Approach to Computational Stylistics. - Urszula Stanczyk (SIIS, 2011)

Application of DRSA-ANN Classifier in Computational Stylistics. - Urszula Stanczyk (ISMIS, 2011)

Relative Reduct-Based Estimation of Relevance for Stylometric Features. - Urszula Stanczyk (ADBIS, 2013)

Establishing Relevance of Characteristic Features for Authorship Attribution with ANN. - Urszula Stanczyk (DEXA (2), 2013)

On Preference Order of DRSA Conditional Attributes for Computational Stylistics. - Urszula Stanczyk (DEXA (2), 2013)

Weighting of Attributes in an Embedded Rough Approach. - Urszula Stanczyk (ICMMI, 2013)

Decision rule length as a basis for evaluation of attribute relevance. - Urszula Stanczyk (J. Intell. Fuzzy Syst., 2013)

RELIEF-based Selection of Decision Rules. - Urszula Stanczyk (KES, 2014)

Attribute Ranking Driven Filtering of Decision Rules. - Urszula Stanczyk (RSEISP, 2014)

The Class Imbalance Problem in Construction of Training Datasets for Authorship Attribution. - Urszula Stanczyk (ICMMI, 2015)

Selection of decision rules based on attribute ranking. - Urszula Stanczyk (J. Intell. Fuzzy Syst., 2015)

Ranking of characteristic features in combined wrapper approaches to selection. - Urszula Stanczyk (Neural Comput. Appl., 2015)

Feature Evaluation by Filter, Wrapper, and Embedded Approaches. - Urszula Stanczyk (Feature Selection for Data and Pattern Recognition, 2015)

Weighting of Features by Sequential Selection. - Urszula Stanczyk (Feature Selection for Data and Pattern Recognition, 2015)

Feature Selection for Data and Pattern Recognition: An Introduction. - Urszula Stanczyk; Lakhmi C. Jain (Feature Selection for Data and Pattern Recognition, 2015)

Weighting and Pruning of Decision Rules by Attributes and Attribute Rankings. - Urszula Stanczyk (ISCIS, 2016)

Measuring Quality of Decision Rules Through Ranking of Conditional Attributes. - Urszula Stanczyk (KES-IDT (1), 2016)

Filtering Decision Rules with Continuous Attributes Governed by Discretisation. - Urszula Stanczyk (ISMIS, 2017)

Evaluating Importance for Numbers of Bins in Discretised Learning and Test Sets. - Urszula Stanczyk (KES-IDT (1), 2017)

On Combining Discretisation Parameters and Attribute Ranking for Selection of Decision Rules. - Urszula Stanczyk; Beata Zielosko (IJCRS (1), 2017)

Application of Greedy Heuristics for Feature Characterisation and Selection: A Case Study in Stylometric Domain. - Urszula Stanczyk; Beata Zielosko; Krzysztof Zabinski (IJCSR, 2018)

Ranking-Based Rule Classifier Optimisation. - Urszula Stanczyk (Advances in Feature Selection for Data and Pattern Recognition, 2018)

Advances in Feature Selection for Data and Pattern Recognition: An Introduction. - Urszula Stanczyk; Beata Zielosko; Lakhmi C. Jain (Advances in Feature Selection for Data and Pattern Recognition, 2018)

On Unsupervised and Supervised Discretisation in Mining Stylometric Features. - Urszula Stanczyk (ICMMI, 2019)

On Approaches to Discretisation of Stylometric Data and Conflict Resolution in Decision Making. - Urszula Stanczyk; Beata Zielosko (KES, 2019)

Weighting Attributes and Decision Rules Through Rankings and Discretisation Parameters. - Urszula Stanczyk (Machine Learning Paradigms, 2019)

Performance evaluation for ranking-based discretisation. - Grzegorz Baron; Urszula Stanczyk (KES, 2020)

Assessing quality of decision reducts. - Urszula Stanczyk; Beata Zielosko (KES, 2020)

Reduct-based ranking of attributes. - Beata Zielosko; Urszula Stanczyk (KES, 2020)

Heuristic-based feature selection for rough set approach. - Urszula Stanczyk; Beata Zielosko (Int. J. Approx. Reason., 2020)

Standard vs. non-standard cross-validation: evaluation of performance in a space with structured distribution of datapoints. - Grzegorz Baron; Urszula Stanczyk (KES, 2021)

Weighting factor for attributes based on reduct cardinality. - Urszula Stanczyk (KES, 2021)

Condition attributes, properties of decision rules, and discretisation: Analysis of relations and dependencies. - Beata Zielosko; Urszula Stanczyk (KES, 2021)

Application of Rough Set-Based Characterisation of Attributes in Feature Selection and Reduction. - Urszula Stanczyk (Advances in Selected Artificial Intelligence Areas, 2022)

Evaluation of importance for condition attributes based on quality of decision reducts. - Urszula Stanczyk (KES, 2022)

On heterogeneity or sub-classes aspect in construction of stylometric input datasets. - Urszula Stanczyk; Grzegorz Baron (KES, 2022)

Ranking of attributes - comparative study based on data from stylometric domain. - Beata Zielosko; Urszula Stanczyk; Krzysztof Zabinski (KES, 2022)

Pruning Decision Rules by Reduct-Based Weighting and Ranking of Features. - Urszula Stanczyk (Entropy, 2022)

Filtering Decision Rules Driven by Sequential Forward and Backward Selection of Attributes: An Illustrative Example in Stylometric Domain. - Beata Zielosko; Urszula Stanczyk; Kamil Jablonski (FedCSIS, 2023)

Attribute Relevance and Discretisation in Knowledge Discovery: A Study in Stylometric Domain. - Urszula Stanczyk; Beata Zielosko; Grzegorz Baron (ICCS (2), 2023)

Going Deeper than Supervised Discretisation in Processing of Stylometric Features. - Urszula Stanczyk; Beata Zielosko; Grzegorz Baron (ISD, 2023)

How transformations of representation for input data can affect the properties of induced decision reducts and rules. - Urszula Stanczyk (KES, 2023)

Should supervised discretisation always be trusted unreservedly? On combining characteristics of supervised and unsupervised discretisation algorithms in two-step processing. - Urszula Stanczyk; Grzegorz Baron (KES, 2023)

Voting Classifier using Discretisation in Aggregating Decisions. - Urszula Stanczyk; Beata Zielosko; Grzegorz Baron (ISD, 2024)

Construction of Features Ranking - Global Approach. - Beata Zielosko; Urszula Stanczyk; Kamil Jablonski (ISD, 2024)

Domain-specific data characteristics: A study on meaning of stylometric sub-concepts and in-class imbalance. - Urszula Stanczyk (KES, 2024)

Observations of data characteristics and irregularities through domain-oriented transformations of attributes. - Urszula Stanczyk; Grzegorz Baron (KES, 2024)

Weighting Attributes Based on the Greedy Algorithm Properties. - Beata Zielosko; Urszula Stanczyk; Kamil Jablonski (KES, 2024)

Importance of Characteristic Features and Their Form for Data Exploration. - Urszula Stanczyk; Beata Zielosko; Grzegorz Baron (Entropy, 2024)

Preserving Informative Content of Condition Attributes in Data Transformations for CRSA. - Urszula Stanczyk; Beata Zielosko; Grzegorz Baron (ICCS (Workshops 4), 2025)

Decision-Making of Homogeneous Multiple Classifiers Based on Attribute Characterisation by Discretisation. - Urszula Stanczyk; Beata Zielosko; Grzegorz Baron (ICCS (Workshops 4), 2025)