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Katarzyna Poczęta
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Cited by
Cited by
Year
A two-stage model for time series prediction based on fuzzy cognitive maps and neural networks
EI Papageorgiou, K Poczęta
Neurocomputing 232, 113-121, 2017
802017
Learning fuzzy cognitive maps using structure optimization genetic algorithm
K Poczęta, A Yastrebov, EI Papageorgiou
2015 federated conference on computer science and information systems …, 2015
512015
Application of fuzzy cognitive maps to water demand prediction
EI Papageorgiou, K Poczęta, C Laspidou
2015 IEEE international conference on fuzzy systems (FUZZ-IEEE), 1-8, 2015
432015
Fuzzy cognitive maps optimization for decision making and prediction
K Poczeta, EI Papageorgiou, VC Gerogiannis
Mathematics 8 (11), 2059, 2020
352020
Analysis of an evolutionary algorithm for complex fuzzy cognitive map learning based on graph theory metrics and output concepts
K Poczeta, Ł Kubuś, A Yastrebov
Biosystems 179, 39-47, 2019
312019
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
KI Papageorgiou, K Poczeta, E Papageorgiou, VC Gerogiannis, ...
Algorithms 12 (11), 235, 2019
282019
Hybrid model for water demand prediction based on fuzzy cognitive maps and artificial neural networks
EI Papageorgiou, K Poczęta, C Laspidou
2016 IEEE international conference on fuzzy systems (FUZZ-IEEE), 1523-1530, 2016
252016
Analysis of multi-step algorithms for cognitive maps learning
A Jastriebow, K Poczęta
Bulletin of the Polish Academy of Sciences Technical Sciences 62 (4), 735–741, 2014
252014
Simulation analysis of multistep algorithms of relational cognitive maps learning
A Yastrebov, K Piotrowska
Computer technologies in science, technology and education, 126-137, 2012
182012
Application of fuzzy cognitive maps to electricity consumption prediction
EI Papageorgiou, K Poczęta
2015 Annual Conference of the North American Fuzzy Information Processing …, 2015
172015
Forecasting of day-ahead natural gas consumption demand in Greece using adaptive neuro-fuzzy inference system
K Papageorgiou, E I. Papageorgiou, K Poczeta, D Bochtis, G Stamoulis
Energies 13 (9), 2317, 2020
162020
Implementing fuzzy cognitive maps with neural networks for natural gas prediction
K Poczeta, EI Papageorgiou
2018 IEEE 30th international conference on tools with artificial …, 2018
162018
Analysis of fuzzy cognitive maps with multi-step learning algorithms in valuation of owner-occupied homes
K Poczeta, A Yastrebov
2014 IEEE international conference on fuzzy systems (FUZZ-IEEE), 1029-1035, 2014
162014
A new learning approach for fuzzy cognitive maps based on system performance indicators
Ł Kubuś, K Poczęta, A Yastrebov
2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1398-1404, 2016
152016
Fuzzy cognitive maps and multi-step gradient methods for prediction: applications to electricity consumption and stock exchange returns
EI Papageorgiou, K Poczęta, A Yastrebov, C Laspidou
International Conference on Intelligent Decision Technologies, 501-511, 2015
152015
Forecasting reference evapotranspiration using time lagged recurrent neural network
G Proias, I Gravalos, E Papageorgiou, K Poczęta, ...
Wseas Trans. Environ. Dev 16, 699-707, 2020
132020
Application of fuzzy cognitive maps to multi-step ahead prediction of electricity consumption
K Poczeta, EI Papageorgiou, A Yastrebov
2018 Conference on electrotechnology: processes, models, control and …, 2018
132018
Intelligent expert system based on cognitive maps
K Piotrowska
Studia Informatica 33 (2A), 605-616, 2012
12*2012
Machine learning approaches to predict electricity production from renewable energy sources
A Krechowicz, M Krechowicz, K Poczeta
Energies 15 (23), 9146, 2022
102022
Application of fuzzy cognitive maps with evolutionary learning algorithm to model decision support systems based on real-life and historical data
K Poczeta, Ł Kubuś, A Yastrebov, EI Papageorgiou
Recent Advances in Computational Optimization: Results of the Workshop on …, 2018
102018
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Articles 1–20