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Katarzyna Poczeta

Katarzyna Piotrowska

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Journal Articles

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2023
[j6]
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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]
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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]
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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]
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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]
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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]
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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

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2022
[c18]
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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]
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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]
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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]
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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]
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Katarzyna Poczeta, Elpiniki I. Papageorgiou:
Implementing Fuzzy Cognitive Maps with Neural Networks for Natural Gas Prediction. ICTAI 2018: 1026-1032
[c13]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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Katarzyna Poczeta, Alexander Yastrebov, Elpiniki I. Papageorgiou:
Learning fuzzy cognitive maps using Structure Optimization Genetic Algorithm. FedCSIS 2015: 547-554
[c4]
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Elpiniki I. Papageorgiou, Katarzyna Poczeta, Chrysi S. Laspidou:
Application of Fuzzy Cognitive Maps to water demand prediction. FUZZ-IEEE 2015: 1-8
[c3]
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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]
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Elpiniki I. Papageorgiou, Katarzyna Poczeta:
Application of fuzzy cognitive maps to electricity consumption prediction. NAFIPS/WConSC 2015: 1-6
2014
[c1]
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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

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2015
[p2]
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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]
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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

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