Multi-Agent Decision Taking System. - Alicja Wakulicz-Deja; Malgorzata Przybyla-Kasperek (Fundam. Informaticae, 2010)

Application of the Method of Editing and Condensing in the Process of Global Decision-making. - Alicja Wakulicz-Deja; Malgorzata Przybyla-Kasperek (Fundam. Informaticae, 2011)

Global Decisions Taking on the Basis of Dispersed Medical Data. - Malgorzata Przybyla-Kasperek; Alicja Wakulicz-Deja (RSFDGrC, 2013)

Application of Reduction of the Set of Conditional Attributes in the Process of Global Decision-making. - Malgorzata Przybyla-Kasperek; Alicja Wakulicz-Deja (Fundam. Informaticae, 2013)

Complex Decision Systems and Conflicts Analysis Problem. - Alicja Wakulicz-Deja; Agnieszka Nowak-Brzezinska; Malgorzata Przybyla-Kasperek (Fundam. Informaticae, 2013)

Global Decisions Taking Process, Including the Stage of Negotiation, on the Basis of Dispersed Medical Data. - Malgorzata Przybyla-Kasperek (BDAS, 2014)

Methods of Calculating the Strength of Coalition in a Dispersed Decision Support System with the Stage of Negotiations - a Study of Medical Data. - Malgorzata Przybyla-Kasperek; Alicja Wakulicz-Deja (CS&P, 2014)

Global decision-making system with dynamically generated clusters. - Malgorzata Przybyla-Kasperek; Alicja Wakulicz-Deja (Inf. Sci., 2014)

A dispersed decision-making system - The use of negotiations during the dynamic generation of a system's structure. - Malgorzata Przybyla-Kasperek; Alicja Wakulicz-Deja (Inf. Sci., 2014)

Application of the Shapley-Shubik Power Index in the Process of Decision Making on the Basis of Dispersed Medical Data. - Malgorzata Przybyla-Kasperek (BDAS, 2015)

The Borda Count, the Intersection and the Highest Rank Method in a Dispersed Decision-Making System. - Malgorzata Przybyla-Kasperek (RSFDGrC, 2015)

Two Methods of Combining Classifiers, Which are Based on Decision Templates and Theory of Evidence, in a Dispersed Decision-Making System. - Malgorzata Przybyla-Kasperek (BDAS, 2016)

Dispersed decision-making system with selected fusion methods from the measurement level - case study with medical data. - Malgorzata Przybyla-Kasperek (FedCSIS, 2016)

Pawlak's Conflict Model: Directions of Development. - Alicja Wakulicz-Deja; Malgorzata Przybyla-Kasperek (FedCSIS, 2016)

Mining Medical Knowledge Bases. - Agnieszka Nowak-Brzezinska; Tomasz Rybotycki; Roman Siminski; Malgorzata Przybyla-Kasperek (ICCCI (2), 2016)

Intersection Method, Union Method, Product Rule and Weighted Average Method in a Dispersed Decision-Making System - a Comparative Study on Medical Data. - Malgorzata Przybyla-Kasperek; Agnieszka Nowak-Brzezinska (ICCCI (2), 2016)

Global decision-making in multi-agent decision-making system with dynamically generated disjoint clusters. - Malgorzata Przybyla-Kasperek; Alicja Wakulicz-Deja (Appl. Soft Comput., 2016)

The strength of coalition in a dispersed decision support system with negotiations. - Malgorzata Przybyla-Kasperek; Alicja Wakulicz-Deja (Eur. J. Oper. Res., 2016)

Selected Methods of Combining Classifiers, when Predictions are Stored in Probability Vectors, in a Dispersed Decision-making System. - Malgorzata Przybyla-Kasperek (Fundam. Informaticae, 2016)

Attribute Reduction in a Dispersed Decision-Making System with Negotiations. - Malgorzata Przybyla-Kasperek (BDAS, 2017)

Knowledge Exploration in Medical Rule-Based Knowledge Bases. - Agnieszka Nowak-Brzezinska; Tomasz Rybotycki; Roman Siminski; Malgorzata Przybyla-Kasperek (ICCCI (2), 2017)

Decision Fusion Methods in a Dispersed Decision System - A Comparison on Medical Data. - Malgorzata Przybyla-Kasperek; Agnieszka Nowak-Brzezinska; Roman Siminski (ICCCI (2), 2017)

Feature selection based on the rough set theory and dispersed system with dynamically generated disjoint clusters. - Malgorzata Przybyla-Kasperek (INISTA, 2017)

Dispersed System with Dynamically Generated Non-disjoint Clusters - Application of Attribute Selection. - Malgorzata Przybyla-Kasperek (KES-IDT (1), 2017)

Methods Based on Pawlak's Model of Conflict Analysis - Medical Applications. - Malgorzata Przybyla-Kasperek (IJCRS (1), 2017)

Comparison of fusion methods from the abstract level and the rank level in a dispersed decision-making system. - Malgorzata Przybyla-Kasperek; Alicja Wakulicz-Deja (Int. J. Gen. Syst., 2017)

Dispersed decision-making system with fusion methods from the rank level and the measurement level - A comparative study. - Malgorzata Przybyla-Kasperek; Alicja Wakulicz-Deja (Inf. Syst., 2017)

Comparison of Selected Fusion Methods from the Abstract and Rank Levels in a System Using Pawlak's Approach to Coalition Formation. - Malgorzata Przybyla-Kasperek (BDAS, 2018)

Comparison of Dispersed Decision Systems with Pawlak Model and with Negotiation Stage in Terms of Five Selected Fusion Methods. - Malgorzata Przybyla-Kasperek (ICCCI (2), 2018)

Application of the Pairwise Comparison Matrices into a Dispersed Decision-Making System With Pawlak's Conflict Model. - Malgorzata Przybyla-Kasperek (IJCSR, 2018)

Attribute Selection in a Dispersed Decision-Making System. - Malgorzata Przybyla-Kasperek (Advances in Feature Selection for Data and Pattern Recognition, 2018)

Comparison of two Methods for Generating the Coalitions of Classifiers and two Methods for Reducing Dimensionality in a Dispersed Decision-Making System. - Malgorzata Przybyla-Kasperek (Adv. Complex Syst., 2019)

Three Conflict Methods in Multiple Classifiers that Use Dispersed Knowledge. - Malgorzata Przybyla-Kasperek (Int. J. Inf. Technol. Decis. Mak., 2019)

Are coalitions needed when classifiers make decisions? - Malgorzata Przybyla-Kasperek (KES, 2020)

Generalized objects in the system with dispersed knowledge. - Malgorzata Przybyla-Kasperek (Expert Syst. Appl., 2020)

Bagging and Single Decision Tree Approaches to Dispersed Data. - Malgorzata Przybyla-Kasperek; Samuel Aning (ICCS (3), 2021)

Ensemble of Classifiers Based on Genetic Reducts and K-Nearest Neighbors Classifier for Data with Non Missing Values. - Malgorzata Przybyla-Kasperek (ISD, 2021)

Stop Criterion in Building Decision Trees with Bagging Method for Dispersed Data. - Malgorzata Przybyla-Kasperek; Samuel Aning (KES, 2021)

Neural Network Used for the Fusion of Predictions Obtained by the K-Nearest Neighbors Algorithm Based on Independent Data Sources. - Malgorzata Przybyla-Kasperek; Kwabena Frimpong Marfo (Entropy, 2021)

The power of agents in a dispersed system - The Shapley-Shubik power index. - Malgorzata Przybyla-Kasperek (J. Parallel Distributed Comput., 2021)

Study on the Twoing Criterion with Pre-pruning and Bagging Method for Dispersed Data. - Malgorzata Przybyla-Kasperek; Samuel Aning (ISD, 2022)

Influence of Noise and Data Characteristics on Classification Quality of Dispersed Data Using Neural Networks on the Fusion of Predictions. - Malgorzata Przybyla-Kasperek; Kwabena Frimpong Marfo (ISD, 2022)

Comparative Study of Twoing and Entropy Criterion for Decision Tree Classification of Dispersed Data. - Samuel Aning; Malgorzata Przybyla-Kasperek (KES, 2022)

Radial basis function network for aggregating predictions of k-nearest neighbors local models generated based on independent data sets. - Kwabena Frimpong Marfo; Malgorzata Przybyla-Kasperek (KES, 2022)

Comparison of Shapley-Shubik and Banzhaf-Coleman power indices applied to aggregation of predictions obtained based on dispersed data by k-nearest neighbors classifiers. - Malgorzata Przybyla-Kasperek; Filip Smyczek (KES, 2022)

Study of selected methods for balancing independent data sets in k-nearest neighbors classifiers with Pawlak conflict analysis. - Malgorzata Przybyla-Kasperek (Appl. Soft Comput., 2022)

New Classification Method for Independent Data Sources Using Pawlak Conflict Model and Decision Trees. - Malgorzata Przybyla-Kasperek; Katarzyna Kusztal (Entropy, 2022)

Radial Basis Function Neural Network with a Centers Training Stage for Prediction Based on Dispersed Image Data. - Kwabena Frimpong Marfo; Malgorzata Przybyla-Kasperek (ICCS (4), 2023)

Rules' Quality Generated by the Classification Method for Independent Data Sources Using Pawlak Conflict Analysis Model. - Malgorzata Przybyla-Kasperek; Katarzyna Kusztal (ICCS (4), 2023)

Decision rules for dispersed data using a federated learning approach. - Malgorzata Przybyla-Kasperek; Kingsley Opoku (KES, 2023)

Selected Approaches to Conflict Analysis Inspired by the Pawlak Model - Case Study. - Malgorzata Przybyla-Kasperek; Rafal Deja; Alicja Wakulicz-Deja (IJCRS, 2023)

Study on the Use of Artificially Generated Objects in the Process of Training MLP Neural Networks Based on Dispersed Data. - Kwabena Frimpong Marfo; Malgorzata Przybyla-Kasperek (Entropy, 2023)

Practically motivated adaptive fusion method with tie analysis for multilabel dispersed data. - Malgorzata Przybyla-Kasperek (Expert Syst. Appl., 2023)

Exploring the Impact of Object Diversity on Classification Quality in Dispersed Data Environments. - Kwabena Frimpong Marfo; Malgorzata Przybyla-Kasperek (ACIIDS (2), 2024)

Fragmented Image Classification Using Local and Global Neural Networks: Investigating the Impact of the Quantity of Artificial Objects on Model Performance. - Kwabena Frimpong Marfo; Malgorzata Przybyla-Kasperek; Piotr Sulikowski (ICCS (7), 2024)

Rough Set Decision Rules for Usage-Based Churn Modeling in Mobile Telecommunications. - Malgorzata Przybyla-Kasperek; Piotr Sulikowski (ICCCI (CCIS Volume 1), 2024)

Dual-Level Decision Tree-Based Model for Dispersed Data Classification. - Malgorzata Przybyla-Kasperek; Benjamin Agyare Addo; Katarzyna Kusztal (ISD, 2024)

Optimization Algorithm for Solar Irradiation Prediction Considering Regional Variability in Poland. - Kacper Ksiazek; Malgorzata Przybyla-Kasperek; Michal Jasiñski (KES, 2024)

Ensembles of random trees with coalitions - a classification model for dispersed data. - Malgorzata Przybyla-Kasperek; Jakub Sacewicz (KES, 2024)

Dispersed Data Classification Model with Conflict Analysis and Parameterized Allied Relations. - Malgorzata Przybyla-Kasperek; Katarzyna Kusztal; Benjamin Agyare Addo (KES, 2024)

Study of Dependency Degree and Bayesian Networks for Conflict Scenarios. - Malgorzata Przybyla-Kasperek; Rafal Deja (IJCRS (1), 2024)

Hierarchical system in conflict scenarios constructed based on cluster analysis-inspired method for attribute significance determination. - Malgorzata Przybyla-Kasperek; Rafal Deja; Alicja Wakulicz-Deja (Appl. Soft Comput., 2024)

Novel Hierarchical Decision Tree Frameworks Introducing Tree Method Bagging-Stump Integration and Height Optimization. - Malgorzata Przybyla-Kasperek; Benjamin Agyare Addo (ICCS (Workshops 5), 2025)

Issues Importance Analysis for Reaching High-Quality Consensus in Preference-Based Conflict Scenarios. - Malgorzata Przybyla-Kasperek; Rafal Deja (ICCS (Workshops 4), 2025)

Integrating Conflict Analysis and Rule-Based Systems for Dispersed Data Classification. - Malgorzata Przybyla-Kasperek; Katarzyna Kusztal (ICCS (Workshops 4), 2025)

Unified and Diverse Coalition Formation in Dispersed Data Classification - A Conflict Analysis Approach with Weighted Decision Trees. - Malgorzata Przybyla-Kasperek; Jakub Sacewicz (ICCS (Workshops 6), 2025)

Artificial Intelligence Literacy Structure and the Factors Influencing Student Attitudes and Readiness in Central Europe Universities. - Ján Skalka; Malgorzata Przybyla-Kasperek; Eugenia Smyrnova-Trybulska; Cyril Klimes; Radim Farana; Valentina Dagiene; Vladimiras Dolgopolovas (IEEE Access, 2025)