| 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 | 92 | 2017 |
| 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 | 56 | 2015 |
| 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 | 49 | 2015 |
| Fuzzy cognitive maps optimization for decision making and prediction K Poczeta, EI Papageorgiou, VC Gerogiannis Mathematics 8 (11), 2059, 2020 | 42 | 2020 |
| 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 | 40 | 2019 |
| Machine learning approaches to predict electricity production from renewable energy sources A Krechowicz, M Krechowicz, K Poczeta Energies 15 (23), 9146, 2022 | 36 | 2022 |
| 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 | 35 | 2019 |
| 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 | 26 | 2016 |
| 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 | 25 | 2014 |
| Application of fuzzy cognitive maps to electricity consumption prediction EI Papageorgiou, K Poczęta 2015 Annual Conference of the North American Fuzzy Information Processing …, 2015 | 21 | 2015 |
| 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 | 18 | 2020 |
| Simulation analysis of multistep algorithms of relational cognitive maps learning A Yastrebov, K Piotrowska Computer technologies in science, technology and education, 126-137, 2012 | 18 | 2012 |
| 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 | 17 | 2018 |
| 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 | 16 | 2014 |
| 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 | 15 | 2018 |
| 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 | 15 | 2016 |
| 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 | 15 | 2015 |
| Energy use forecasting with the use of a nested structure based on fuzzy cognitive maps and artificial neural networks K Poczeta, EI Papageorgiou Energies 15 (20), 7542, 2022 | 14 | 2022 |
| 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 | 14 | 2020 |
| 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 | 13 | 2018 |
Elpiniki PapageorgiouProfessor in Artificial Intelligence, University of ThessalyCorreu electrònic verificat a uth.gr