Intelligent Medical Systems on Internet Technologies Platform. - Beata Zielosko; Andrzej Jan Dyszkiewicz (MSRAS, 2004)

Intelligent Data Processing in Distributed Internet Applications. - Beata Zielosko; Alicja Wakulicz-Deja (Intelligent Information Systems, 2005)

On Greedy Algorithms with Weights for Construction of Partial Covers. - Mikhail Ju. Moshkov; Marcin Piliszczuk; Beata Zielosko (Intelligent Information Systems, 2006)

Lower Bounds on Minimal Weight of Partial Reducts and Partial Decision Rules. - Mikhail Ju. Moshkov; Marcin Piliszczuk; Beata Zielosko (RSKT, 2006)

Universal Attribute Reduction Problem. - Mikhail Ju. Moshkov; Marcin Piliszczuk; Beata Zielosko (RSEISP, 2007)

On Construction of Partial Reducts and Irreducible Partial Decision Rules. - Mikhail Ju. Moshkov; Marcin Piliszczuk; Beata Zielosko (Fundam. Informaticae, 2007)

On Partial Covers, Reducts and Decision Rules with Weights. - Mikhail Ju. Moshkov; Marcin Piliszczuk; Beata Zielosko (Trans. Rough Sets, 2007)

Greedy Algorithm for Attribute Reduction. - Beata Zielosko; Marcin Piliszczuk (Fundam. Informaticae, 2008)

On Partial Covers, Reducts and Decision Rules. - Mikhail Ju. Moshkov; Marcin Piliszczuk; Beata Zielosko (Trans. Rough Sets, 2008)

Universal Problem of Attribute Reduction. - Mikhail Ju. Moshkov; Marcin Piliszczuk; Beata Zielosko (Trans. Rough Sets, 2008)

Partial Covers, Reducts and Decision Rules in Rough Sets - Theory and Applications - Mikhail Ju. Moshkov; Marcin Piliszczuk; Beata Zielosko (Springer, 2008)

On Construction of Partial Association Rules with Weights. - Mikhail Ju. Moshkov; Marcin Piliszczuk; Beata Zielosko (ICMMI, 2009)

Clustering of Partial Decision Rules. - Agnieszka Nowak; Beata Zielosko (ICMMI, 2009)

On Construction of Partial Association Rules. - Mikhail Ju. Moshkov; Marcin Piliszczuk; Beata Zielosko (RSKT, 2009)

Greedy Algorithm for Construction of Partial Association Rules. - Mikhail Ju. Moshkov; Marcin Piliszczuk; Beata Zielosko (Fundam. Informaticae, 2009)

Greedy Algorithms with Weights for Construction of Partial Association Rules. - Mikhail Ju. Moshkov; Marcin Piliszczuk; Beata Zielosko (Fundam. Informaticae, 2009)

Upper Bounds on Minimum Cardinality of Exact and Approximate Reducts. - Igor Chikalov; Mikhail Moshkov; Beata Zielosko (RSCTC, 2010)

Online Learning Algorithm for Ensemble of Decision Rules. - Igor Chikalov; Mikhail Moshkov; Beata Zielosko (RSFDGrC, 2011)

Decision Rules for Decision Tables with Many-Valued Decisions. - Igor Chikalov; Beata Zielosko (RSKT, 2011)

Construction of α-Decision Trees for Tables with Many-Valued Decisions. - Mikhail Moshkov; Beata Zielosko (RSKT, 2011)

Combinatorial Machine Learning - A Rough Set Approach - Mikhail Moshkov; Beata Zielosko (Springer, 2011)

Relationships Between Length and Coverage of Exact Decision Rules. - Talha Amin; Igor Chikalov; Mikhail Moshkov; Beata Zielosko (CS&P, 2012)

Greedy Algorithm for Construction of Decision Trees for Tables with Many-Valued Decisions. - Mohammad Azad; Igor Chikalov; Mikhail Moshkov; Beata Zielosko (CS&P, 2012)

Tests for Decision Tables with Many-Valued Decisions - Comparative Study. - Mohammad Azad; Igor Chikalov; Mikhail Moshkov; Beata Zielosko (FedCSIS, 2012)

Sequential Optimization of γ-Decision Rules. - Beata Zielosko (FedCSIS, 2012)

Length and Coverage of Inhibitory Decision Rules. - Fawaz Alsolami 001; Igor Chikalov; Mikhail Moshkov; Beata Marta Zielosko (ICCCI (2), 2012)

Optimization of β-Decision Rules Relative to Number of Misclassifications. - Beata Marta Zielosko (ICCCI (2), 2012)

Optimization of Approximate Decision Rules Relative to Number of Misclassifications. - Talha Amin; Igor Chikalov; Mikhail Moshkov; Beata Zielosko (KES, 2012)

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 (KES (Selected Papers), 2012)

Optimization of Inhibitory Decision Rules Relative to Length and Coverage. - Fawaz Alsolami 001; Igor Chikalov; Mikhail Moshkov; Beata Zielosko (RSKT, 2012)

Dynamic Programming Approach for Partial Decision Rule Optimization. - Talha Amin; Igor Chikalov; Mikhail Moshkov; Beata Zielosko (Fundam. Informaticae, 2012)

Greedy Algorithms for Construction of Approximate Tests for Decision Tables with Many-Valued Decisions. - Mohammad Azad; Igor Chikalov; Mikhail Moshkov; Beata Zielosko (Fundam. Informaticae, 2012)

Optimization of Approximate Inhibitory Rules Relative to Number of Misclassifications. - Fawaz Alsolami 001; Igor Chikalov; Mikhail Moshkov; Beata Zielosko (KES, 2013)

Decision Rules, Trees and Tests for Tables with Many-valued Decisions-comparative Study. - Mohammad Azad; Beata Zielosko; Mikhail Moshkov; Igor Chikalov (KES, 2013)

Classifiers Based on Optimal Decision Rules. - Talha Amin; Igor Chikalov; Mikhail Moshkov; Beata Zielosko (Fundam. Informaticae, 2013)

A Greedy Algorithm for Construction of Decision Trees for Tables with Many-Valued Decisions - A Comparative Study. - Mohammad Azad; Igor Chikalov; Mikhail Moshkov; Beata Zielosko (Fundam. Informaticae, 2013)

Optimization and analysis of decision trees and rules: dynamic programming approach. - Abdulaziz Alkhalid; Talha Amin; Igor Chikalov; Shahid Hussain 004; Mikhail Moshkov; Beata Zielosko (Int. J. Gen. Syst., 2013)

Dynamic programming approach to optimization of approximate decision rules. - Talha Amin; Igor Chikalov; Mikhail Moshkov; Beata Zielosko (Inf. Sci., 2013)

Three Approaches to Data Analysis - Test Theory, Rough Sets and Logical Analysis of Data - Igor Chikalov; Vadim V. Lozin; Irina Lozina; Mikhail Moshkov; Hung Son Nguyen; Andrzej Skowron; Beata Zielosko (Springer, 2013)

Dynamic Programming Approach for Exact Decision Rule Optimization. - Talha Amin; Igor Chikalov; Mikhail Moshkov; Beata Zielosko (Rough Sets and Intelligent Systems (1), 2013)

Optimization of Approximate Decision Rules Relative to Coverage. - Beata Zielosko (BDAS, 2014)

Optimization of Decision Rules Relative to Coverage - Comparative Study. - Beata Zielosko (RSEISP, 2014)

Relationships Between Length and Coverage of Decision Rules. - Talha Amin; Igor Chikalov; Mikhail Moshkov; Beata Zielosko (Fundam. Informaticae, 2014)

Optimization of Decision Rules Based on Dynamic Programming Approach. - Beata Zielosko; Igor Chikalov; Mikhail Moshkov; Talha Amin (Innovations in Intelligent Machines (4), 2014)

Optimization of Inhibitory Decision Rules Relative to Coverage - Comparative Study. - Beata Zielosko (BDAS, 2015)

Comparison of Heuristics for Optimization of Association Rules. - Fawaz Alsolami 001; Talha Amin; Mikhail Moshkov; Beata Zielosko (CS&P, 2015)

Global Optimization of Exact Association Rules Relative to Length. - Beata Zielosko (CS&P, 2015)

Optimization of Decision Rules Relative to Coverage - Comparison of Greedy and Modified Dynamic Programming Approaches. - Beata Zielosko (ICMMI, 2015)

Global Optimization of Exact Association Rules Relative to Coverage. - Beata Zielosko (PReMI, 2015)

Three Approaches to Deal with Tests for Inconsistent Decision Tables - Comparative Study. - Mohammad Azad; Igor Chikalov; Mikhail Ju. Moshkov; Beata Zielosko (Trans. Rough Sets, 2015)

Sequential Optimization of γ-Decision Rules Relative to Length, Coverage and Number of Misclassifications. - Beata Zielosko (Trans. Rough Sets, 2015)

Greedy Algorithm for Optimization of Association Rules Relative to Length. - Beata Zielosko; Marek Robaszkiewicz (KES-IDT (1), 2016)

Dynamic Programming Approach for Construction of Association Rule Systems. - Fawaz Alsolami 001; Talha Amin; Igor Chikalov; Mikhail Moshkov; Beata Zielosko (Fundam. Informaticae, 2016)

Application of Dynamic Programming Approach to Optimization of Association Rules Relative to Coverage and Length. - Beata Zielosko (Fundam. Informaticae, 2016)

Greedy Algorithm for the Construction of Approximate Decision Rules for Decision Tables with Many-Valued Decisions. - Mohammad Azad; Mikhail Ju. Moshkov; Beata Zielosko (Trans. Rough Sets, 2016)

Optimization of Exact Decision Rules Relative to Length. - Beata Zielosko (KES-IDT (1), 2017)

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

Optimization of Approximate Decision Rules Relative to Length. - Beata Zielosko; Krzysztof Zabinski (BDAS, 2018)

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

Optimization of Decision Rules Relative to Length Based on Modified Dynamic Programming Approach. - Beata Zielosko; Krzysztof Zabinski (Advances in Feature Selection for Data and Pattern Recognition, 2018)

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

Comparison of Heuristics for Optimization of Association Rules. - Fawaz Alsolami 001; Talha Amin; Mikhail Moshkov; Beata Zielosko; Krzysztof Zabinski (Fundam. Informaticae, 2019)

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)

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

Selected approaches for decision rules construction-comparative study. - Beata Zielosko; Krzysztof Zabinski (KES, 2021)

Decision Rules Derived from Optimal Decision Trees with Hypotheses. - Mohammad Azad; Igor Chikalov; Shahid Hussain 004; Mikhail Moshkov; Beata Zielosko (Entropy, 2021)

Decision Rules Construction: Algorithm Based on EAV Model. - Krzysztof Zabinski; Beata Zielosko (Entropy, 2021)

Learning Decision Rules from Sets of Decision Trees. - Mikhail Moshkov; Beata Zielosko; Evans Teiko Tetteh; Anna Glid (ISD, 2022)

Common Association Rules for Dispersed Information Systems. - Mikhail Moshkov; Beata Zielosko; Evans Teiko Tetteh (KES, 2022)

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

Application of selected heuristics in associative classification task. - Beata Zielosko; Evans Teiko Tetteh (KES, 2022)

Greedy Algorithms for Decision Trees with Hypotheses. - Mohammad Azad; Igor Chikalov; Shahid Hussain 004; Mikhail Moshkov; Beata Zielosko (CoRR, 2022)

Decision Trees with Hypotheses for Recognition of Monotone Boolean Functions and for Sorting. - Mohammad Azad; Igor Chikalov; Shahid Hussain 004; Mikhail Moshkov; Beata Zielosko (CoRR, 2022)

Selected Data Mining Tools for Data Analysis in Distributed Environment. - Mikhail Moshkov; Beata Zielosko; Evans Teiko Tetteh (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)

The Employers' Expectations Towards Students' Competencies In The Framework Of Digital Transformation Processes. - Agata Hilarowicz; Beata Zielosko; Malgorzata Mysliwiec (KES, 2023)

Decision Rules Induced From Sets of Decision Trees. - Beata Zielosko; Mikhail Moshkov; Anna Glid; Evans Teiko Tetteh (KES, 2023)

Multi-heuristic Induction of Decision Rules. - Beata Zielosko; Evans Teiko Tetteh; Diana Hunchak (IJCRS, 2023)

Improved EAV-Based Algorithm for Decision Rules Construction. - Krzysztof Zabinski; Beata Zielosko (Entropy, 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)

Algorithm A for distributed data Classification. - Evans Teiko Tetteh; Beata Zielosko (KES, 2024)

Selected Methods of Feature Selection - Medical Case Study. - Beata Zielosko; Anton Dmytrenko (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)

Optimization of inner and general rules. - Beata Zielosko; Mikhail Moshkov; Evans Teiko Tetteh (Inf. Sci., 2025)