default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMalgorzata Przybyla-Kasperek
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j21]Malgorzata Przybyla-Kasperek
, Rafal Deja, Alicja Wakulicz-Deja:
Hierarchical system in conflict scenarios constructed based on cluster analysis-inspired method for attribute significance determination. Appl. Soft Comput. 167: 112304 (2024)- [c38]Kwabena Frimpong Marfo, Malgorzata Przybyla-Kasperek:
Exploring the Impact of Object Diversity on Classification Quality in Dispersed Data Environments. ACIIDS (2) 2024: 250-262 - [c37]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: 280-294 - [c36]Malgorzata Przybyla-Kasperek, Piotr Sulikowski:
Rough Set Decision Rules for Usage-Based Churn Modeling in Mobile Telecommunications. ICCCI (CCIS Volume 1) 2024: 57-70 - [c35]Malgorzata Przybyla-Kasperek, Benjamin Agyare Addo, Katarzyna Kusztal:
Dual-Level Decision Tree-Based Model for Dispersed Data Classification. ISD 2024 - [c34]Malgorzata Przybyla-Kasperek, Rafal Deja:
Study of Dependency Degree and Bayesian Networks for Conflict Scenarios. IJCRS (1) 2024: 105-119 - 2023
- [j20]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): 703 (2023) - [j19]Malgorzata Przybyla-Kasperek:
Practically motivated adaptive fusion method with tie analysis for multilabel dispersed data. Expert Syst. Appl. 219: 119601 (2023) - [c33]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: 89-103 - [c32]Malgorzata Przybyla-Kasperek, Katarzyna Kusztal:
Rules' Quality Generated by the Classification Method for Independent Data Sources Using Pawlak Conflict Analysis Model. ICCS (4) 2023: 390-405 - [c31]Malgorzata Przybyla-Kasperek, Kingsley Opoku:
Decision rules for dispersed data using a federated learning approach. KES 2023: 4305-4313 - [c30]Malgorzata Przybyla-Kasperek, Rafal Deja, Alicja Wakulicz-Deja:
Selected Approaches to Conflict Analysis Inspired by the Pawlak Model - Case Study. IJCRS 2023: 3-17 - 2022
- [j18]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: 109612 (2022) - [j17]Malgorzata Przybyla-Kasperek, Katarzyna Kusztal:
New Classification Method for Independent Data Sources Using Pawlak Conflict Model and Decision Trees. Entropy 24(11): 1604 (2022) - [c29]Malgorzata Przybyla-Kasperek, Samuel Aning:
Study on the Twoing Criterion with Pre-pruning and Bagging Method for Dispersed Data. ISD 2022 - [c28]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 - [c27]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: 2134-2143 - [c26]Samuel Aning, Malgorzata Przybyla-Kasperek:
Comparative Study of Twoing and Entropy Criterion for Decision Tree Classification of Dispersed Data. KES 2022: 2434-2443 - [c25]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: 3234-3243 - 2021
- [j16]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): 1568 (2021) - [j15]Malgorzata Przybyla-Kasperek:
The power of agents in a dispersed system - The Shapley-Shubik power index. J. Parallel Distributed Comput. 157: 105-124 (2021) - [c24]Malgorzata Przybyla-Kasperek, Samuel Aning:
Bagging and Single Decision Tree Approaches to Dispersed Data. ICCS (3) 2021: 420-427 - [c23]Malgorzata Przybyla-Kasperek:
Ensemble of Classifiers Based on Genetic Reducts and K-Nearest Neighbors Classifier for Data with Non Missing Values. ISD 2021 - [c22]Malgorzata Przybyla-Kasperek, Samuel Aning:
Stop Criterion in Building Decision Trees with Bagging Method for Dispersed Data. KES 2021: 3560-3569 - 2020
- [j14]Malgorzata Przybyla-Kasperek:
Generalized objects in the system with dispersed knowledge. Expert Syst. Appl. 162: 113773 (2020) - [c21]Malgorzata Przybyla-Kasperek:
Are coalitions needed when classifiers make decisions? KES 2020: 1279-1288
2010 – 2019
- 2019
- [j13]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): 1950007:1-1950007:31 (2019) - [j12]Malgorzata Przybyla-Kasperek:
Three Conflict Methods in Multiple Classifiers that Use Dispersed Knowledge. Int. J. Inf. Technol. Decis. Mak. 18(2): 555-599 (2019) - 2018
- [c20]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: 220-232 - [c19]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: 301-310 - [c18]Malgorzata Przybyla-Kasperek:
Application of the Pairwise Comparison Matrices into a Dispersed Decision-Making System With Pawlak's Conflict Model. IJCSR 2018: 392-404 - [p1]Malgorzata Przybyla-Kasperek:
Attribute Selection in a Dispersed Decision-Making System. Advances in Feature Selection for Data and Pattern Recognition 2018: 133-162 - [e1]Hung Son Nguyen, Quang-Thuy Ha, Tianrui Li, Malgorzata Przybyla-Kasperek:
Rough Sets - International Joint Conference, IJCRS 2018, Quy Nhon, Vietnam, August 20-24, 2018, Proceedings. Lecture Notes in Computer Science 11103, Springer 2018, ISBN 978-3-319-99367-6 [contents] - 2017
- [j11]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): 386-413 (2017) - [j10]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: 124-154 (2017) - [c17]Malgorzata Przybyla-Kasperek:
Attribute Reduction in a Dispersed Decision-Making System with Negotiations. BDAS 2017: 79-88 - [c16]Malgorzata Przybyla-Kasperek, Agnieszka Nowak-Brzezinska, Roman Siminski:
Decision Fusion Methods in a Dispersed Decision System - A Comparison on Medical Data. ICCCI (2) 2017: 139-149 - [c15]Agnieszka Nowak-Brzezinska, Tomasz Rybotycki, Roman Siminski, Malgorzata Przybyla-Kasperek:
Knowledge Exploration in Medical Rule-Based Knowledge Bases. ICCCI (2) 2017: 150-160 - [c14]Malgorzata Przybyla-Kasperek:
Feature selection based on the rough set theory and dispersed system with dynamically generated disjoint clusters. INISTA 2017: 223-228 - [c13]Malgorzata Przybyla-Kasperek:
Dispersed System with Dynamically Generated Non-disjoint Clusters - Application of Attribute Selection. KES-IDT (1) 2017: 130-139 - [c12]Malgorzata Przybyla-Kasperek:
Methods Based on Pawlak's Model of Conflict Analysis - Medical Applications. IJCRS (1) 2017: 249-262 - 2016
- [j9]Malgorzata Przybyla-Kasperek, Alicja Wakulicz-Deja:
Global decision-making in multi-agent decision-making system with dynamically generated disjoint clusters. Appl. Soft Comput. 40: 603-615 (2016) - [j8]Malgorzata Przybyla-Kasperek, Alicja Wakulicz-Deja:
The strength of coalition in a dispersed decision support system with negotiations. Eur. J. Oper. Res. 252(3): 947-968 (2016) - [j7]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): 353-370 (2016) - [c11]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: 109-119 - [c10]Malgorzata Przybyla-Kasperek:
Dispersed decision-making system with selected fusion methods from the measurement level - case study with medical data. FedCSIS 2016: 129-136 - [c9]Alicja Wakulicz-Deja, Malgorzata Przybyla-Kasperek:
Pawlak's Conflict Model: Directions of Development. FedCSIS 2016: 191-197 - [c8]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: 451-461 - [c7]Agnieszka Nowak-Brzezinska, Tomasz Rybotycki, Roman Siminski, Malgorzata Przybyla-Kasperek:
Mining Medical Knowledge Bases. ICCCI (2) 2016: 472-481 - 2015
- [c6]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: 277-287 - [c5]Malgorzata Przybyla-Kasperek:
Selected Methods of Combining Classifiers, when Predictions Are Stored in Probability Vectors, in a Dispersed Decision-Making System. CS&P 2015: 211-222 - [c4]Malgorzata Przybyla-Kasperek:
The Borda Count, the Intersection and the Highest Rank Method in a Dispersed Decision-Making System. RSFDGrC 2015: 298-309 - 2014
- [j6]Malgorzata Przybyla-Kasperek, Alicja Wakulicz-Deja:
Global decision-making system with dynamically generated clusters. Inf. Sci. 270: 172-191 (2014) - [j5]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: 194-219 (2014) - [c3]Malgorzata Przybyla-Kasperek:
Global Decisions Taking Process, Including the Stage of Negotiation, on the Basis of Dispersed Medical Data. BDAS 2014: 290-299 - [c2]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: 208-219 - 2013
- [j4]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): 327-355 (2013) - [j3]Alicja Wakulicz-Deja, Agnieszka Nowak-Brzezinska, Malgorzata Przybyla-Kasperek:
Complex Decision Systems and Conflicts Analysis Problem. Fundam. Informaticae 127(1-4): 341-356 (2013) - [c1]Malgorzata Przybyla-Kasperek, Alicja Wakulicz-Deja:
Global Decisions Taking on the Basis of Dispersed Medical Data. RSFDGrC 2013: 355-365 - 2011
- [j2]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): 93-117 (2011) - 2010
- [j1]Alicja Wakulicz-Deja, Malgorzata Przybyla-Kasperek:
Multi-Agent Decision Taking System. Fundam. Informaticae 101(1-2): 125-141 (2010)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-10 21:48 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
