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Katarzyna Poczeta
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Journal Articles
- 2023
- [j6]Katarzyna Poczeta
, Miroslaw Plaza
, Tomasz Michno
, Maria Krechowicz, Michal Zawadzki:
A multi-label text message classification method designed for applications in call/contact centre systems. Appl. Soft Comput. 145: 110562 (2023) - [j5]Alexander Yastrebov, Lukasz Kubus, Katarzyna Poczeta:
Multiobjective evolutionary algorithm IDEA and k-means clustering for modeling multidimenional medical data based on fuzzy cognitive maps. Nat. Comput. 22(3): 601-611 (2023) - 2019
- [j4]Konstantinos Papageorgiou
, Katarzyna Poczeta
, Elpiniki Papageorgiou
, Vassilis C. Gerogiannis
, George I. Stamoulis:
Exploring an Ensemble of Methods that Combines Fuzzy Cognitive Maps and Neural Networks in Solving the Time Series Prediction Problem of Gas Consumption in Greece. Algorithms 12(11): 235 (2019) - [j3]Katarzyna Poczeta, Lukasz Kubus, Alexander Yastrebov:
Analysis of an evolutionary algorithm for complex fuzzy cognitive map learning based on graph theory metrics and output concepts. Biosyst. 179: 39-47 (2019) - [j2]Katarzyna Poczeta, Lukasz Kubus, Alexander Yastrebov:
Reprint of: Analysis of an evolutionary algorithm for complex fuzzy cognitive map learning based on graph theory metrics and output concepts. Biosyst. 186 (2019) - 2017
- [j1]Elpiniki I. Papageorgiou
, Katarzyna Poczeta
:
A two-stage model for time series prediction based on fuzzy cognitive maps and neural networks. Neurocomputing 232: 113-121 (2017)
Conference and Workshop Papers
- 2022
- [c18]Krzysztof Janasz, Dariusz Nowak, Katarzyna Piotrowska, Joanna Wisniewska
:
Innovations of Enterprises with Chinese Capital in Poland. LiuGong Dressta Machinery - case study. KES 2022: 2086-2095 - 2020
- [c17]Katarzyna Poczeta, Lukasz Kubus, Alexander Yastrebov:
Multidimensional medical data modeling based on fuzzy cognitive maps and k-means clustering. KES 2020: 118-127 - 2019
- [c16]Alexander Yastrebov
, Lukasz Kubus, Katarzyna Poczeta
:
An Analysis of Evolutionary Algorithms for Multiobjective Optimization of Structure and Learning of Fuzzy Cognitive Maps Based on Multidimensional Medical Data. TPNC 2019: 147-158 - 2018
- [c15]Katarzyna Poczeta
, Lukasz Kubus, Alexander Yastrebov
, Elpiniki I. Papageorgiou
:
Temperature Forecasting for Energy Saving in Smart Buildings Based on Fuzzy Cognitive Map. AUTOMATION 2018: 93-103 - [c14]Katarzyna Poczeta, Elpiniki I. Papageorgiou
:
Implementing Fuzzy Cognitive Maps with Neural Networks for Natural Gas Prediction. ICTAI 2018: 1026-1032 - [c13]Lukasz Kubus, Alexander Yastrebov, Katarzyna Poczeta, Magdalena Poterala, Leszek Gromadzinski:
The use of fuzzy cognitive maps in evaluation of prognosis of chronic heart failure patients. SPA 2018: 191-196 - 2017
- [c12]Katarzyna Poczeta
, Lukasz Kubus, Alexander Yastrebov
, Elpiniki I. Papageorgiou
:
Learning Fuzzy Cognitive Maps Using Evolutionary Algorithm Based on System Performance Indicators. AUTOMATION 2017: 554-564 - [c11]Katarzyna Poczeta, Lukasz Kubus, Alexander Yastrebov:
Concepts Selection in Fuzzy Cognitive Map using Evolutionary Learning Algorithm based on Graph Theory Metrics. FedCSIS (Communication Papers) 2017: 89-94 - [c10]Katarzyna Poczeta
, Lukasz Kubus, Alexander Yastrebov
:
Structure Optimization and Learning of Fuzzy Cognitive Map with the Use of Evolutionary Algorithm and Graph Theory Metrics. WCO@FedCSIS 2017: 131-147 - [c9]Katarzyna Poczeta
, Lukasz Kubus, Alexander Yastrebov
:
An Evolutionary Algorithm Based on Graph Theory Metrics for Fuzzy Cognitive Maps Learning. TPNC 2017: 137-149 - 2016
- [c8]Katarzyna Poczeta, Lukasz Kubus, Alexander Yastrebov, Elpiniki I. Papageorgiou:
An Economic Decision Support System based on Fuzzy Cognitive Maps with Evolutionary Learning Algorithm. FedCSIS (Position Papers) 2016: 95-101 - [c7]Lukasz Kubus, Katarzyna Poczeta
, Alexander Yastrebov
:
A new learning approach for fuzzy cognitive maps based on system performance indicators. FUZZ-IEEE 2016: 1398-1404 - [c6]Elpiniki I. Papageorgiou
, Katarzyna Poczeta
, Chrysi S. Laspidou
:
Hybrid model for water demand prediction based on fuzzy cognitive maps and artificial neural networks. FUZZ-IEEE 2016: 1523-1530 - 2015
- [c5]Katarzyna Poczeta
, Alexander Yastrebov
, Elpiniki I. Papageorgiou
:
Learning fuzzy cognitive maps using Structure Optimization Genetic Algorithm. FedCSIS 2015: 547-554 - [c4]Elpiniki I. Papageorgiou
, Katarzyna Poczeta
, Chrysi S. Laspidou
:
Application of Fuzzy Cognitive Maps to water demand prediction. FUZZ-IEEE 2015: 1-8 - [c3]Elpiniki I. Papageorgiou
, Katarzyna Poczeta
, Alexander Yastrebov, Chrysi S. Laspidou
:
Fuzzy Cognitive Maps and Multi-step Gradient Methods for Prediction: Applications to Electricity Consumption and Stock Exchange Returns. KES-IDT 2015: 501-511 - [c2]Elpiniki I. Papageorgiou
, Katarzyna Poczeta
:
Application of fuzzy cognitive maps to electricity consumption prediction. NAFIPS/WConSC 2015: 1-6 - 2014
- [c1]Katarzyna Poczeta
, Alexander Yastrebov
:
Analysis of fuzzy cognitive maps with multi-step learning algorithms in valuation of owner-occupied homes. FUZZ-IEEE 2014: 1029-1035
Parts in Books or Collections
- 2015
- [p2]Katarzyna Poczeta, Alexander Yastrebov:
Monitoring and Prediction of Time Series Based on Fuzzy Cognitive Maps with Multi-step Gradient Methods. Progress in Automation, Robotics and Measuring Techniques 2015: 197-206 - 2014
- [p1]Alexander Yastrebov
, Katarzyna Piotrowska
:
Synthesis and Analysis of Multi-Step Learning Algorithms for Fuzzy Cognitive Maps. Fuzzy Cognitive Maps for Applied Sciences and Engineering 2014: 133-144
Coauthor Index
aka: Elpiniki Papageorgiou
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