Analysis of fuzzy cognitive maps with multi-step learning algorithms in valuation of owner-occupied homes. - Katarzyna Poczeta; Alexander Yastrebov (FUZZ-IEEE, 2014)

Synthesis and Analysis of Multi-Step Learning Algorithms for Fuzzy Cognitive Maps. - Alexander Yastrebov; Katarzyna Piotrowska (Fuzzy Cognitive Maps for Applied Sciences and Engineering, 2014)

Learning fuzzy cognitive maps using Structure Optimization Genetic Algorithm. - Katarzyna Poczeta; Alexander Yastrebov; Elpiniki I. Papageorgiou (FedCSIS, 2015)

Application of Fuzzy Cognitive Maps to water demand prediction. - Elpiniki I. Papageorgiou; Katarzyna Poczeta; Chrysi S. Laspidou (FUZZ-IEEE, 2015)

Fuzzy Cognitive Maps and Multi-step Gradient Methods for Prediction: Applications to Electricity Consumption and Stock Exchange Returns. - Elpiniki I. Papageorgiou; Katarzyna Poczeta; Alexander Yastrebov; Chrysi S. Laspidou (KES-IDT, 2015)

Application of fuzzy cognitive maps to electricity consumption prediction. - Elpiniki I. Papageorgiou; Katarzyna Poczeta (NAFIPS/WConSC, 2015)

Monitoring and Prediction of Time Series Based on Fuzzy Cognitive Maps with Multi-step Gradient Methods. - Katarzyna Poczeta; Alexander Yastrebov (Progress in Automation, Robotics and Measuring Techniques, 2015)

An Economic Decision Support System based on Fuzzy Cognitive Maps with Evolutionary Learning Algorithm. - Katarzyna Poczeta; Lukasz Kubus; Alexander Yastrebov; Elpiniki I. Papageorgiou (FedCSIS (Position Papers), 2016)

A new learning approach for fuzzy cognitive maps based on system performance indicators. - Lukasz Kubus; Katarzyna Poczeta; Alexander Yastrebov (FUZZ-IEEE, 2016)

Hybrid model for water demand prediction based on fuzzy cognitive maps and artificial neural networks. - Elpiniki I. Papageorgiou; Katarzyna Poczeta; Chrysi S. Laspidou (FUZZ-IEEE, 2016)

Learning Fuzzy Cognitive Maps Using Evolutionary Algorithm Based on System Performance Indicators. - Katarzyna Poczeta; Lukasz Kubus; Alexander Yastrebov; Elpiniki I. Papageorgiou (AUTOMATION, 2017)

Concepts Selection in Fuzzy Cognitive Map using Evolutionary Learning Algorithm based on Graph Theory Metrics. - Katarzyna Poczeta; Lukasz Kubus; Alexander Yastrebov (FedCSIS (Communication Papers), 2017)

Structure Optimization and Learning of Fuzzy Cognitive Map with the Use of Evolutionary Algorithm and Graph Theory Metrics. - Katarzyna Poczeta; Lukasz Kubus; Alexander Yastrebov (WCO@FedCSIS, 2017)

An Evolutionary Algorithm Based on Graph Theory Metrics for Fuzzy Cognitive Maps Learning. - Katarzyna Poczeta; Lukasz Kubus; Alexander Yastrebov (TPNC, 2017)

A two-stage model for time series prediction based on fuzzy cognitive maps and neural networks. - Elpiniki I. Papageorgiou; Katarzyna Poczeta (Neurocomputing, 2017)

Temperature Forecasting for Energy Saving in Smart Buildings Based on Fuzzy Cognitive Map. - Katarzyna Poczeta; Lukasz Kubus; Alexander Yastrebov; Elpiniki I. Papageorgiou (AUTOMATION, 2018)

Implementing Fuzzy Cognitive Maps with Neural Networks for Natural Gas Prediction. - Katarzyna Poczeta; Elpiniki I. Papageorgiou (ICTAI, 2018)

The use of fuzzy cognitive maps in evaluation of prognosis of chronic heart failure patients. - Lukasz Kubus; Alexander Yastrebov; Katarzyna Poczeta; Magdalena Poterala; Leszek Gromadzinski (SPA, 2018)

An Analysis of Evolutionary Algorithms for Multiobjective Optimization of Structure and Learning of Fuzzy Cognitive Maps Based on Multidimensional Medical Data. - Alexander Yastrebov; Lukasz Kubus; Katarzyna Poczeta (TPNC, 2019)

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. - Konstantinos Papageorgiou; Katarzyna Poczeta; Elpiniki Papageorgiou; Vassilis C. Gerogiannis; George I. Stamoulis (Algorithms, 2019)

Analysis of an evolutionary algorithm for complex fuzzy cognitive map learning based on graph theory metrics and output concepts. - Katarzyna Poczeta; Lukasz Kubus; Alexander Yastrebov (Biosyst., 2019)

Reprint of: Analysis of an evolutionary algorithm for complex fuzzy cognitive map learning based on graph theory metrics and output concepts. - Katarzyna Poczeta; Lukasz Kubus; Alexander Yastrebov (Biosyst., 2019)

Multidimensional medical data modeling based on fuzzy cognitive maps and k-means clustering. - Katarzyna Poczeta; Lukasz Kubus; Alexander Yastrebov (KES, 2020)

Innovations of Enterprises with Chinese Capital in Poland. LiuGong Dressta Machinery - case study. - Krzysztof Janasz; Dariusz Nowak; Katarzyna Piotrowska; Joanna Wisniewska (KES, 2022)

A multi-label text message classification method designed for applications in call/contact centre systems. - Katarzyna Poczeta; Miroslaw Plaza; Tomasz Michno; Maria Krechowicz; Michal Zawadzki (Appl. Soft Comput., 2023)

Multiobjective evolutionary algorithm IDEA and k-means clustering for modeling multidimenional medical data based on fuzzy cognitive maps. - Alexander Yastrebov; Lukasz Kubus; Katarzyna Poczeta (Nat. Comput., 2023)