| 2026 | ACIIDS | Global Classification from Heterogeneous Sources Using Neighborhood Rough Decision Trees. A Comparative Study of Fusion Strategies. | Benjamin Agyare Addo, Malgorzata Przybyla-Kasperek |
| 2026 | ACIIDS | Conflict-Based Classification with Parameterized Coalition Thresholds: Unified and Diverse Approaches for Dispersed Data. | Jakub Sacewicz, Malgorzata Przybyla-Kasperek |
| 2026 | ICCS | Cross-validation-Based Hierarchical Decision Tree Framework for Dispersed Data Classification. | Benjamin Agyare Addo, Malgorzata Przybyla-Kasperek |
| 2026 | ICCS | Handling Class Imbalance in Coalition-Based Distributed Classification with Decision Rule Induction. | Katarzyna Kusztal, Malgorzata Przybyla-Kasperek |
| 2026 | ICCS | Attribute Importance in Conflict Models: Using Clustering Metrics and Bi-coalitions for Issue Evaluation. | Malgorzata Przybyla-Kasperek, Rafal Deja |
| 2025 | ACIIDS | Comparative Analysis of Convolutional Neural Network Architectures for Emotion Recognition in Facial Images. | Malgorzata Przybyla-Kasperek, Krystian Zielinski |
| 2025 | ICCS | Novel Hierarchical Decision Tree Frameworks Introducing Tree Method Bagging-Stump Integration and Height Optimization. | Malgorzata Przybyla-Kasperek, Benjamin Agyare Addo |
| 2025 | ICCS | Issues Importance Analysis for Reaching High-Quality Consensus in Preference-Based Conflict Scenarios. | Malgorzata Przybyla-Kasperek, Rafal Deja |
| 2025 | ICCS | Integrating Conflict Analysis and Rule-Based Systems for Dispersed Data Classification. | Malgorzata Przybyla-Kasperek, Katarzyna Kusztal |
| 2025 | ICCS | Unified and Diverse Coalition Formation in Dispersed Data Classification - A Conflict Analysis Approach with Weighted Decision Trees. | Malgorzata Przybyla-Kasperek, Jakub Sacewicz |
| 2025 | KES | Classifying Light States in the Phasmophobia Game. The Impact of Image Resolution and Preprocessing on Multi-layer Perceptron Performance. | Malgorzata Przybyla-Kasperek, Tomasz Markuszewski, Rafal Deja |
| 2025 | KES | A Comparative Study of Ensemble Methods and Feature Selection Techniques for Predicting English Premier League Match Outcome. | Malgorzata Przybyla-Kasperek, Mateusz Wesecki |
| 2024 | ACIIDS | Exploring the Impact of Object Diversity on Classification Quality in Dispersed Data Environments. | Kwabena Frimpong Marfo, Malgorzata Przybyla-Kasperek |
| 2024 | ICCCI | Rough Set Decision Rules for Usage-Based Churn Modeling in Mobile Telecommunications. | Malgorzata Przybyla-Kasperek, Piotr Sulikowski |
| 2024 | ICCS | 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 |
| 2024 | KES | Optimization Algorithm for Solar Irradiation Prediction Considering Regional Variability in Poland. | Kacper Ksiazek, Malgorzata Przybyla-Kasperek, Michal Jasiski |
| 2024 | KES | Ensembles of random trees with coalitions - a classification model for dispersed data. | Malgorzata Przybyla-Kasperek, Jakub Sacewicz |
| 2024 | KES | Dispersed Data Classification Model with Conflict Analysis and Parameterized Allied Relations. | Malgorzata Przybyla-Kasperek, Katarzyna Kusztal, Benjamin Agyare Addo |
| 2023 | ICCS | Radial Basis Function Neural Network with a Centers Training Stage for Prediction Based on Dispersed Image Data. | Kwabena Frimpong Marfo, Malgorzata Przybyla-Kasperek |
| 2023 | ICCS | Rules' Quality Generated by the Classification Method for Independent Data Sources Using Pawlak Conflict Analysis Model. | Malgorzata Przybyla-Kasperek, Katarzyna Kusztal |
| 2023 | KES | Decision rules for dispersed data using a federated learning approach. | Malgorzata Przybyla-Kasperek, Kingsley Opoku |
| 2022 | KES | Comparative Study of Twoing and Entropy Criterion for Decision Tree Classification of Dispersed Data. | Samuel Aning, Malgorzata Przybyla-Kasperek |
| 2022 | KES | 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 |
| 2022 | KES | 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 |
| 2021 | ICCS | Bagging and Single Decision Tree Approaches to Dispersed Data. | Malgorzata Przybyla-Kasperek, Samuel Aning |
| 2021 | KES | Stop Criterion in Building Decision Trees with Bagging Method for Dispersed Data. | Malgorzata Przybyla-Kasperek, Samuel Aning |
| 2020 | KES | Are coalitions needed when classifiers make decisions? | Malgorzata Przybyla-Kasperek |
| 2018 | ICCCI | Comparison of Dispersed Decision Systems with Pawlak Model and with Negotiation Stage in Terms of Five Selected Fusion Methods. | Malgorzata Przybyla-Kasperek |
| 2017 | ICCCI | Knowledge Exploration in Medical Rule-Based Knowledge Bases. | Agnieszka Nowak-Brzezinska, Tomasz Rybotycki, Roman Siminski, Malgorzata Przybyla-Kasperek |
| 2017 | ICCCI | Decision Fusion Methods in a Dispersed Decision System - A Comparison on Medical Data. | Malgorzata Przybyla-Kasperek, Agnieszka Nowak-Brzezinska, Roman Siminski |
| 2017 | INISTA | Feature selection based on the rough set theory and dispersed system with dynamically generated disjoint clusters. | Malgorzata Przybyla-Kasperek |
| 2016 | FedCSIS | Dispersed decision-making system with selected fusion methods from the measurement level - case study with medical data. | Malgorzata Przybyla-Kasperek |
| 2016 | FedCSIS | Pawlak's Conflict Model: Directions of Development. | Alicja Wakulicz-Deja, Malgorzata Przybyla-Kasperek |
| 2016 | ICCCI | Mining Medical Knowledge Bases. | Agnieszka Nowak-Brzezinska, Tomasz Rybotycki, Roman Siminski, Malgorzata Przybyla-Kasperek |
| 2016 | ICCCI | 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 |