Malgorzata Przybyla-Kasperek

Orcid: 0000-0003-0616-9694

According to our database1, Malgorzata Przybyla-Kasperek authored at least 53 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Practically motivated adaptive fusion method with tie analysis for multilabel dispersed data.
Expert Syst. Appl., June, 2023

Study on the Use of Artificially Generated Objects in the Process of Training MLP Neural Networks Based on Dispersed Data.
Entropy, 2023

Selected Approaches to Conflict Analysis Inspired by the Pawlak Model - Case Study.
Proceedings of the Rough Sets - International Joint Conference, 2023

Decision rules for dispersed data using a federated learning approach.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Rules' Quality Generated by the Classification Method for Independent Data Sources Using Pawlak Conflict Analysis Model.
Proceedings of the Computational Science - ICCS 2023, 2023

Radial Basis Function Neural Network with a Centers Training Stage for Prediction Based on Dispersed Image Data.
Proceedings of the Computational Science - ICCS 2023, 2023

2022
New Classification Method for Independent Data Sources Using Pawlak Conflict Model and Decision Trees.
Entropy, 2022

Study of selected methods for balancing independent data sets in k-nearest neighbors classifiers with Pawlak conflict analysis.
Appl. Soft Comput., 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.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

Radial basis function network for aggregating predictions of k-nearest neighbors local models generated based on independent data sets.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

Comparative Study of Twoing and Entropy Criterion for Decision Tree Classification of Dispersed Data.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

Influence of Noise and Data Characteristics on Classification Quality of Dispersed Data Using Neural Networks on the Fusion of Predictions.
Proceedings of the Information Systems Development: Artificial Intelligence for Information Systems Development and Operations (ISD2022 Proceedings), Cluj-Napoca, Romania, 31 August, 2022

Study on the Twoing Criterion with Pre-pruning and Bagging Method for Dispersed Data.
Proceedings of the Information Systems Development: Artificial Intelligence for Information Systems Development and Operations (ISD2022 Proceedings), Cluj-Napoca, Romania, 31 August, 2022

2021
The power of agents in a dispersed system - The Shapley-Shubik power index.
J. Parallel Distributed Comput., 2021

Neural Network Used for the Fusion of Predictions Obtained by the K-Nearest Neighbors Algorithm Based on Independent Data Sources.
Entropy, 2021

Stop Criterion in Building Decision Trees with Bagging Method for Dispersed Data.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

Ensemble of Classifiers Based on Genetic Reducts and K-Nearest Neighbors Classifier for Data with Non Missing Values.
Proceedings of the Information Systems Development: Crossing Boundaries between Development and Operations (DevOps) in Information Systems (ISD2021 Proceedings), 2021

Bagging and Single Decision Tree Approaches to Dispersed Data.
Proceedings of the Computational Science - ICCS 2021, 2021

2020
Generalized objects in the system with dispersed knowledge.
Expert Syst. Appl., 2020

Are coalitions needed when classifiers make decisions?
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

2019
Three Conflict Methods in Multiple Classifiers that Use Dispersed Knowledge.
Int. J. Inf. Technol. Decis. Mak., 2019

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., 2019

2018
Attribute Selection in a Dispersed Decision-Making System.
Proceedings of the Advances in Feature Selection for Data and Pattern Recognition, 2018

Application of the Pairwise Comparison Matrices into a Dispersed Decision-Making System With Pawlak's Conflict Model.
Proceedings of the Rough Sets - International Joint Conference, 2018

Comparison of Dispersed Decision Systems with Pawlak Model and with Negotiation Stage in Terms of Five Selected Fusion Methods.
Proceedings of the Computational Collective Intelligence - 10th International Conference, 2018

Comparison of Selected Fusion Methods from the Abstract and Rank Levels in a System Using Pawlak's Approach to Coalition Formation.
Proceedings of the Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety, 2018

2017
Dispersed decision-making system with fusion methods from the rank level and the measurement level - A comparative study.
Inf. Syst., 2017

Comparison of fusion methods from the abstract level and the rank level in a dispersed decision-making system.
Int. J. Gen. Syst., 2017

Methods Based on Pawlak's Model of Conflict Analysis - Medical Applications.
Proceedings of the Rough Sets - International Joint Conference, 2017

Dispersed System with Dynamically Generated Non-disjoint Clusters - Application of Attribute Selection.
Proceedings of the Intelligent Decision Technologies 2017 - Proceedings of the 9th KES International Conference on Intelligent Decision Technologies (KES-IDT 2017), 2017

Feature selection based on the rough set theory and dispersed system with dynamically generated disjoint clusters.
Proceedings of the IEEE International Conference on INnovations in Intelligent SysTems and Applications, 2017

Decision Fusion Methods in a Dispersed Decision System - A Comparison on Medical Data.
Proceedings of the Computational Collective Intelligence - 9th International Conference, 2017

Knowledge Exploration in Medical Rule-Based Knowledge Bases.
Proceedings of the Computational Collective Intelligence - 9th International Conference, 2017

Attribute Reduction in a Dispersed Decision-Making System with Negotiations.
Proceedings of the Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation, 2017

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

The strength of coalition in a dispersed decision support system with negotiations.
Eur. J. Oper. Res., 2016

Global decision-making in multi-agent decision-making system with dynamically generated disjoint clusters.
Appl. Soft Comput., 2016

Intersection Method, Union Method, Product Rule and Weighted Average Method in a Dispersed Decision-Making System - a Comparative Study on Medical Data.
Proceedings of the Computational Collective Intelligence - 8th International Conference, 2016

Mining Medical Knowledge Bases.
Proceedings of the Computational Collective Intelligence - 8th International Conference, 2016

Pawlak's Conflict Model: Directions of Development.
Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

Dispersed decision-making system with selected fusion methods from the measurement level - case study with medical data.
Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

Two Methods of Combining Classifiers, Which are Based on Decision Templates and Theory of Evidence, in a Dispersed Decision-Making System.
Proceedings of the Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery, 2016

2015
The Borda Count, the Intersection and the Highest Rank Method in a Dispersed Decision-Making System.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

Application of the Shapley-Shubik Power Index in the Process of Decision Making on the Basis of Dispersed Medical Data.
Proceedings of the Beyond Databases, Architectures and Structures, 2015

2014
A dispersed decision-making system - The use of negotiations during the dynamic generation of a system's structure.
Inf. Sci., 2014

Global decision-making system with dynamically generated clusters.
Inf. Sci., 2014

Methods of Calculating the Strength of Coalition in a Dispersed Decision Support System with the Stage of Negotiations - a Study of Medical Data.
Proceedings of the 23th International Workshop on Concurrency, Specification and Programming, Chemnitz, Germany, September 29, 2014

Global Decisions Taking Process, Including the Stage of Negotiation, on the Basis of Dispersed Medical Data.
Proceedings of the Beyond Databases, Architectures, and Structures, 2014

2013
Complex Decision Systems and Conflicts Analysis Problem.
Fundam. Informaticae, 2013

Application of Reduction of the Set of Conditional Attributes in the Process of Global Decision-making.
Fundam. Informaticae, 2013

Global Decisions Taking on the Basis of Dispersed Medical Data.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2013

2011
Application of the Method of Editing and Condensing in the Process of Global Decision-making.
Fundam. Informaticae, 2011

2010
Multi-Agent Decision Taking System.
Fundam. Informaticae, 2010


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