Malgorzata Przybyla-Kasperek

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 47

Top Topics

Nearest Neighbor

Top Venues

Publications

Kwabena Frimpong Marfo, Malgorzata Przybyla-Kasperek, Piotr Sulikowski
Fragmented Image Classification Using Local and Global Neural Networks: Investigating the Impact of the Quantity of Artificial Objects on Model Performance. ICCS (7) (2024)
Kwabena Frimpong Marfo, Malgorzata Przybyla-Kasperek
Exploring the Impact of Object Diversity on Classification Quality in Dispersed Data Environments. ACIIDS (2) (2024)
Malgorzata Przybyla-Kasperek, Rafal Deja
Study of Dependency Degree and Bayesian Networks for Conflict Scenarios. IJCRS (1) (2024)
Malgorzata Przybyla-Kasperek, Kingsley Opoku
Decision rules for dispersed data using a federated learning approach. KES (2023)
Malgorzata Przybyla-Kasperek, Katarzyna Kusztal
Rules' Quality Generated by the Classification Method for Independent Data Sources Using Pawlak Conflict Analysis Model. ICCS (4) (2023)
Kwabena Frimpong Marfo, Malgorzata Przybyla-Kasperek
Radial Basis Function Neural Network with a Centers Training Stage for Prediction Based on Dispersed Image Data. ICCS (4) (2023)
Kwabena Frimpong Marfo, Malgorzata Przybyla-Kasperek
Study on the Use of Artificially Generated Objects in the Process of Training MLP Neural Networks Based on Dispersed Data. Entropy 25 (5) (2023)
Malgorzata Przybyla-Kasperek
Practically motivated adaptive fusion method with tie analysis for multilabel dispersed data. Expert Syst. Appl. 219 (2023)
Malgorzata Przybyla-Kasperek, Rafal Deja, Alicja Wakulicz-Deja
Selected Approaches to Conflict Analysis Inspired by the Pawlak Model - Case Study. IJCRS (2023)
Malgorzata Przybyla-Kasperek, Kwabena Frimpong Marfo
Influence of Noise and Data Characteristics on Classification Quality of Dispersed Data Using Neural Networks on the Fusion of Predictions. ISD (2022)
Malgorzata Przybyla-Kasperek, Filip Smyczek
Comparison of Shapley-Shubik and Banzhaf-Coleman power indices applied to aggregation of predictions obtained based on dispersed data by k-nearest neighbors classifiers. KES (2022)
Malgorzata Przybyla-Kasperek
Study of selected methods for balancing independent data sets in k-nearest neighbors classifiers with Pawlak conflict analysis. Appl. Soft Comput. 129 (2022)
Malgorzata Przybyla-Kasperek, Samuel Aning
Study on the Twoing Criterion with Pre-pruning and Bagging Method for Dispersed Data. ISD (2022)
Malgorzata Przybyla-Kasperek, Katarzyna Kusztal
New Classification Method for Independent Data Sources Using Pawlak Conflict Model and Decision Trees. Entropy 24 (11) (2022)
Samuel Aning, Malgorzata Przybyla-Kasperek
Comparative Study of Twoing and Entropy Criterion for Decision Tree Classification of Dispersed Data. KES (2022)
Kwabena Frimpong Marfo, Malgorzata Przybyla-Kasperek
Radial basis function network for aggregating predictions of k-nearest neighbors local models generated based on independent data sets. KES (2022)
Malgorzata Przybyla-Kasperek
The power of agents in a dispersed system - The Shapley-Shubik power index. J. Parallel Distributed Comput. 157 (2021)
Malgorzata Przybyla-Kasperek, Kwabena Frimpong Marfo
Neural Network Used for the Fusion of Predictions Obtained by the K-Nearest Neighbors Algorithm Based on Independent Data Sources. Entropy 23 (12) (2021)
Malgorzata Przybyla-Kasperek, Samuel Aning
Bagging and Single Decision Tree Approaches to Dispersed Data. ICCS (3) (2021)
Malgorzata Przybyla-Kasperek, Samuel Aning
Stop Criterion in Building Decision Trees with Bagging Method for Dispersed Data. KES (2021)
Malgorzata Przybyla-Kasperek
Ensemble of Classifiers Based on Genetic Reducts and K-Nearest Neighbors Classifier for Data with Non Missing Values. ISD (2021)
Malgorzata Przybyla-Kasperek
Generalized objects in the system with dispersed knowledge. Expert Syst. Appl. 162 (2020)
Malgorzata Przybyla-Kasperek
Are coalitions needed when classifiers make decisions? KES (2020)
Malgorzata Przybyla-Kasperek
Three Conflict Methods in Multiple Classifiers that Use Dispersed Knowledge. Int. J. Inf. Technol. Decis. Mak. 18 (2) (2019)
Malgorzata Przybyla-Kasperek
Comparison of two Methods for Generating the Coalitions of Classifiers and two Methods for Reducing Dimensionality in a Dispersed Decision-Making System. Adv. Complex Syst. 22 (4) (2019)
Malgorzata Przybyla-Kasperek
Comparison of Dispersed Decision Systems with Pawlak Model and with Negotiation Stage in Terms of Five Selected Fusion Methods. ICCCI (2) (2018)
Malgorzata Przybyla-Kasperek
Comparison of Selected Fusion Methods from the Abstract and Rank Levels in a System Using Pawlak's Approach to Coalition Formation. BDAS (2018)
Malgorzata Przybyla-Kasperek
Application of the Pairwise Comparison Matrices into a Dispersed Decision-Making System With Pawlak's Conflict Model. IJCSR (2018)
Agnieszka Nowak-Brzezinska, Tomasz Rybotycki, Roman Siminski, Malgorzata Przybyla-Kasperek
Knowledge Exploration in Medical Rule-Based Knowledge Bases. ICCCI (2) (2017)
Malgorzata Przybyla-Kasperek, Alicja Wakulicz-Deja
Comparison of fusion methods from the abstract level and the rank level in a dispersed decision-making system. Int. J. Gen. Syst. 46 (4) (2017)
Malgorzata Przybyla-Kasperek
Methods Based on Pawlak's Model of Conflict Analysis - Medical Applications. IJCRS (1) (2017)
Malgorzata Przybyla-Kasperek, Agnieszka Nowak-Brzezinska, Roman Siminski
Decision Fusion Methods in a Dispersed Decision System - A Comparison on Medical Data. ICCCI (2) (2017)
Malgorzata Przybyla-Kasperek
Dispersed System with Dynamically Generated Non-disjoint Clusters - Application of Attribute Selection. KES-IDT (1) (2017)
Malgorzata Przybyla-Kasperek
Attribute Reduction in a Dispersed Decision-Making System with Negotiations. BDAS (2017)
Malgorzata Przybyla-Kasperek
Feature selection based on the rough set theory and dispersed system with dynamically generated disjoint clusters. INISTA (2017)
Malgorzata Przybyla-Kasperek, Alicja Wakulicz-Deja
Dispersed decision-making system with fusion methods from the rank level and the measurement level - A comparative study. Inf. Syst. 69 (2017)
Malgorzata Przybyla-Kasperek
Two Methods of Combining Classifiers, Which are Based on Decision Templates and Theory of Evidence, in a Dispersed Decision-Making System. BDAS (2016)
Agnieszka Nowak-Brzezinska, Tomasz Rybotycki, Roman Siminski, Malgorzata Przybyla-Kasperek
Mining Medical Knowledge Bases. ICCCI (2) (2016)
Malgorzata Przybyla-Kasperek
Dispersed decision-making system with selected fusion methods from the measurement level - case study with medical data. FedCSIS (2016)
Malgorzata Przybyla-Kasperek
Selected Methods of Combining Classifiers, when Predictions are Stored in Probability Vectors, in a Dispersed Decision-making System. Fundam. Informaticae 147 (2-3) (2016)
Malgorzata Przybyla-Kasperek, Agnieszka Nowak-Brzezinska
Intersection Method, Union Method, Product Rule and Weighted Average Method in a Dispersed Decision-Making System - a Comparative Study on Medical Data. ICCCI (2) (2016)
Alicja Wakulicz-Deja, Malgorzata Przybyla-Kasperek
Pawlak's Conflict Model: Directions of Development. FedCSIS (2016)
Malgorzata Przybyla-Kasperek, Alicja Wakulicz-Deja
Global decision-making in multi-agent decision-making system with dynamically generated disjoint clusters. Appl. Soft Comput. 40 (2016)
Malgorzata Przybyla-Kasperek, Alicja Wakulicz-Deja
The strength of coalition in a dispersed decision support system with negotiations. Eur. J. Oper. Res. 252 (3) (2016)
Malgorzata Przybyla-Kasperek
The Borda Count, the Intersection and the Highest Rank Method in a Dispersed Decision-Making System. RSFDGrC (2015)
Malgorzata Przybyla-Kasperek
Selected Methods of Combining Classifiers, when Predictions Are Stored in Probability Vectors, in a Dispersed Decision-Making System. CS&P (2015)
Malgorzata Przybyla-Kasperek
Application of the Shapley-Shubik Power Index in the Process of Decision Making on the Basis of Dispersed Medical Data. BDAS (2015)
Malgorzata Przybyla-Kasperek
Global Decisions Taking Process, Including the Stage of Negotiation, on the Basis of Dispersed Medical Data. BDAS (2014)
Malgorzata Przybyla-Kasperek, Alicja Wakulicz-Deja
Methods of Calculating the Strength of Coalition in a Dispersed Decision Support System with the Stage of Negotiations - a Study of Medical Data. CS&P (2014)
Malgorzata Przybyla-Kasperek, Alicja Wakulicz-Deja
Global decision-making system with dynamically generated clusters. Inf. Sci. 270 (2014)
Malgorzata Przybyla-Kasperek, Alicja Wakulicz-Deja
A dispersed decision-making system - The use of negotiations during the dynamic generation of a system's structure. Inf. Sci. 288 (2014)
Alicja Wakulicz-Deja, Agnieszka Nowak-Brzezinska, Malgorzata Przybyla-Kasperek
Complex Decision Systems and Conflicts Analysis Problem. Fundam. Informaticae 127 (1-4) (2013)
Malgorzata Przybyla-Kasperek, Alicja Wakulicz-Deja
Application of Reduction of the Set of Conditional Attributes in the Process of Global Decision-making. Fundam. Informaticae 122 (4) (2013)
Malgorzata Przybyla-Kasperek, Alicja Wakulicz-Deja
Global Decisions Taking on the Basis of Dispersed Medical Data. RSFDGrC (2013)
Alicja Wakulicz-Deja, Malgorzata Przybyla-Kasperek
Application of the Method of Editing and Condensing in the Process of Global Decision-making. Fundam. Informaticae 106 (1) (2011)
Alicja Wakulicz-Deja, Malgorzata Przybyla-Kasperek
Multi-Agent Decision Taking System. Fundam. Informaticae 101 (1-2) (2010)