Evolutionary Multi-Agent Model for Knowledge Acquisition. - Wojciech Froelich (Intelligent Information Systems, 2005)

Agent-Based Evolutionary Model for Knowledge Acquisition in Dynamical Environments. - Wojciech Froelich; Marek Kisiel-Dorohinicki; Edward Nawarecki (International Conference on Computational Science (3), 2006)

Lazy Learning of Agent in Dynamic Environment. - Wojciech Froelich (Intelligent Information Systems, 2006)

Learning Fuzzy Cognitive Maps from the Web for the Stock Market Decision Support System. - Wojciech Froelich; Alicja Wakulicz-Deja (AWIC, 2007)

Application of Fuzzy Cognitive Maps for Stock Market Modeling and Forecasting. - Wojciech Froelich; Alicja Wakulicz-Deja (IEA/AIE, 2008)

Predictive Capabilities of Adaptive and Evolutionary Fuzzy Cognitive Maps - A Comparative Study. - Wojciech Froelich; Przemyslaw Juszczuk (Intelligent Systems for Knowledge Management, 2009)

Probabilistic Similarity-Based Reduct. - Wojciech Froelich; Alicja Wakulicz-Deja (RSKT, 2011)

Mining Association Rules from Database Tables with the Instances of Simpson's Paradox. - Wojciech Froelich (ADBIS (2), 2012)

Application of evolutionary fuzzy cognitive maps to the long-term prediction of prostate cancer. - Wojciech Froelich; Elpiniki I. Papageorgiou; Michael Samarinas; Konstantinos Skriapas (Appl. Soft Comput., 2012)

Multi-step prediction of pulmonary infection with the use of evolutionary fuzzy cognitive maps. - Elpiniki I. Papageorgiou; Wojciech Froelich (Neurocomputing, 2012)

Application of Evolutionary Fuzzy Cognitive Maps for Prediction of Pulmonary Infections. - Elpiniki I. Papageorgiou; Wojciech Froelich (IEEE Trans. Inf. Technol. Biomed., 2012)

Mining Therapeutic Patterns from Clinical Data for Juvenile Diabetes. - Wojciech Froelich; Rafal Deja; Grazyna Deja (Fundam. Informaticae, 2013)

Evolutionary learning of fuzzy grey cognitive maps for the forecasting of multivariate, interval-valued time series. - Wojciech Froelich; Jose L. Salmeron (Int. J. Approx. Reason., 2014)

Extended Evolutionary Learning of Fuzzy Cognitive Maps for the Prediction of Multivariate Time-Series. - Wojciech Froelich; Elpiniki I. Papageorgiou (Fuzzy Cognitive Maps for Applied Sciences and Engineering, 2014)

Forecasting Daily Urban Water Demand Using Dynamic Gaussian Bayesian Network. - Wojciech Froelich (BDAS, 2015)

Dealing with Seasonality While Forecasting Urban Water Demand. - Wojciech Froelich (KES-IDT, 2015)

Application of Bayesian Networks to the Forecasting of Daily Water Demand. - Ewa Magiera; Wojciech Froelich (KES-IDT, 2015)

Daily Urban Water Demand Forecasting - Comparative Study. - Wojciech Froelich (BDAS, 2016)

Dynamic optimization of fuzzy cognitive maps for time series forecasting. - Jose L. Salmeron; Wojciech Froelich (Knowl. Based Syst., 2016)

ISS-EWATUS Decision Support System - Overview of Achievements. - Wojciech Froelich; Ewa Magiera (KES-IDT (1), 2017)

Towards improving the efficiency of the fuzzy cognitive map classifier. - Wojciech Froelich (Neurocomputing, 2017)

Advances in fuzzy cognitive maps theory. - Wojciech Froelich; Jose L. Salmeron (Neurocomputing, 2017)

Hybrid approach to the generation of medical guidelines for insulin therapy for children. - Rafal Deja; Wojciech Froelich; Grazyna Deja; Alicja Wakulicz-Deja (Inf. Sci., 2017)

Fuzzy cognitive maps in the modeling of granular time series. - Wojciech Froelich; Witold Pedrycz (Knowl. Based Syst., 2017)

Interval-valued intuitionistic fuzzy cognitive maps for stock index forecasting. - Petr Hájek 002; Ondrej Prochazka; Wojciech Froelich (EAIS, 2018)

IVIFCM-TOPSIS for Bank Credit Risk Assessment. - Wojciech Froelich; Petr Hájek 002 (KES-IDT (1), 2019)

Fuzzy Cognitive Modeling: Theoretical and Practical Considerations. - Gonzalo Nápoles; Jose L. Salmeron; Wojciech Froelich; Rafael Falcon; Maikel León Espinosa; Frank Vanhoenshoven; Rafael Bello 001; Koen Vanhoof (KES-IDT (1), 2019)

A review on methods and software for fuzzy cognitive maps. - Gerardo Felix; Gonzalo Nápoles; Rafael Falcon; Wojciech Froelich; Koen Vanhoof; Rafael Bello 001 (Artif. Intell. Rev., 2019)

Integrating TOPSIS with interval-valued intuitionistic fuzzy cognitive maps for effective group decision making. - Petr Hájek 002; Wojciech Froelich (Inf. Sci., 2019)

Combining Rough Set-based Relevance and Redundancy for the Ranking and Selection of Nominal Features. - Wojciech Froelich; Petr Hájek 002 (KES, 2020)

Pseudoinverse learning of Fuzzy Cognitive Maps for multivariate time series forecasting. - Frank Vanhoenshoven; Gonzalo Nápoles; Wojciech Froelich; Jose L. Salmeron; Koen Vanhoof (Appl. Soft Comput., 2020)

Intuitionistic fuzzy grey cognitive maps for forecasting interval-valued time series. - Petr Hájek 002; Wojciech Froelich; Ondrej Prochazka (Neurocomputing, 2020)

Intuitionistic Fuzzy Neural Network for Time Series Forecasting - The Case of Metal Prices. - Petr Hájek 002; Vladimír Olej; Wojciech Froelich; Josef Novotny (AIAI, 2021)

Rule-based Medical Treatment Graph for the Modeling of Hypo-and Hyperglycemia at Onset. - Rafal Deja; Wojciech Froelich; Grazyna Deja (KES, 2021)

Mining clinical pathways for daily insulin therapy of diabetic children. - Rafal Deja; Wojciech Froelich; Grazyna Deja (Int. J. Appl. Math. Comput. Sci., 2021)

Hierarchical Classification of Event-Related Potentials for the Recognition of Gender Differences in the Attention Task. - Karina Maciejewska; Wojciech Froelich (Entropy, 2021)

Forecasting Basal Insulin for the Clinical Therapy of Juvenile Diabetes at Onset. - Rafal Deja; Wojciech Froelich (KES, 2022)

Selection a group of features based on machine learning algorithms to simplify psycho-technical examination. - Wojciech Froelich; Rafal Deja (KES, 2022)

Neural intuitionistic fuzzy system with justified granularity. - Petr Hájek 002; Wojciech Froelich; Vladimír Olej; Josef Novotny (Neural Comput. Appl., 2022)