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Journal Articles
- 2022
[j17]Petr Hájek
, Wojciech Froelich, Vladimír Olej, Josef Novotny:
Neural intuitionistic fuzzy system with justified granularity. Neural Comput. Appl. 34(22): 19423-19439 (2022)- 2021
- [j16]Rafal Deja, Wojciech Froelich, Grazyna Deja:
Mining clinical pathways for daily insulin therapy of diabetic children. Int. J. Appl. Math. Comput. Sci. 31(1): 107-121 (2021) - [j15]Karina Maciejewska, Wojciech Froelich:
Hierarchical Classification of Event-Related Potentials for the Recognition of Gender Differences in the Attention Task. Entropy 23(11): 1547 (2021) - 2020
- [j14]Frank Vanhoenshoven, Gonzalo Nápoles, Wojciech Froelich, Jose L. Salmeron, Koen Vanhoof:
Pseudoinverse learning of Fuzzy Cognitive Maps for multivariate time series forecasting. Appl. Soft Comput. 95: 106461 (2020) - [j13]Petr Hájek, Wojciech Froelich, Ondrej Prochazka:
Intuitionistic fuzzy grey cognitive maps for forecasting interval-valued time series. Neurocomputing 400: 173-185 (2020) - 2019
- [j12]Gerardo Felix, Gonzalo Nápoles, Rafael Falcon, Wojciech Froelich, Koen Vanhoof, Rafael Bello:
A review on methods and software for fuzzy cognitive maps. Artif. Intell. Rev. 52(3): 1707-1737 (2019) - [j11]Petr Hájek, Wojciech Froelich:
Integrating TOPSIS with interval-valued intuitionistic fuzzy cognitive maps for effective group decision making. Inf. Sci. 485: 394-412 (2019) - 2017
- [j10]Wojciech Froelich, Jose L. Salmeron:
Advances in fuzzy cognitive maps theory. Neurocomputing 232: 1-2 (2017) - [j9]Wojciech Froelich:
Towards improving the efficiency of the fuzzy cognitive map classifier. Neurocomputing 232: 83-93 (2017) - [j8]Rafal Deja, Wojciech Froelich, Grazyna Deja, Alicja Wakulicz-Deja:
Hybrid approach to the generation of medical guidelines for insulin therapy for children. Inf. Sci. 384: 157-173 (2017) - [j7]Wojciech Froelich, Witold Pedrycz:
Fuzzy cognitive maps in the modeling of granular time series. Knowl. Based Syst. 115: 110-122 (2017) - 2016
- [j6]Jose L. Salmeron, Wojciech Froelich:
Dynamic optimization of fuzzy cognitive maps for time series forecasting. Knowl. Based Syst. 105: 29-37 (2016) - 2014
- [j5]Wojciech Froelich, Jose L. Salmeron:
Evolutionary learning of fuzzy grey cognitive maps for the forecasting of multivariate, interval-valued time series. Int. J. Approx. Reason. 55(6): 1319-1335 (2014) - 2013
- [j4]Wojciech Froelich, Rafal Deja, Grazyna Deja:
Mining Therapeutic Patterns from Clinical Data for Juvenile Diabetes. Fundam. Informaticae 127(1-4): 513-528 (2013) - 2012
- [j3]Wojciech Froelich, Elpiniki I. Papageorgiou, Michael Samarinas, Konstantinos Skriapas:
Application of evolutionary fuzzy cognitive maps to the long-term prediction of prostate cancer. Appl. Soft Comput. 12(12): 3810-3817 (2012) - [j2]Elpiniki I. Papageorgiou, Wojciech Froelich:
Multi-step prediction of pulmonary infection with the use of evolutionary fuzzy cognitive maps. Neurocomputing 92: 28-35 (2012) - [j1]Elpiniki I. Papageorgiou, Wojciech Froelich:
Application of Evolutionary Fuzzy Cognitive Maps for Prediction of Pulmonary Infections. IEEE Trans. Inf. Technol. Biomed. 16(1): 143-149 (2012)
Conference and Workshop Papers
- 2022
- [c20]Rafal Deja, Wojciech Froelich:
Forecasting Basal Insulin for the Clinical Therapy of Juvenile Diabetes at Onset. KES 2022: 138-144 - [c19]Wojciech Froelich, Rafal Deja:
Selection a group of features based on machine learning algorithms to simplify psycho-technical examination. KES 2022: 319-326 - 2021
- [c18]Petr Hájek, Vladimír Olej, Wojciech Froelich, Josef Novotny:
Intuitionistic Fuzzy Neural Network for Time Series Forecasting - The Case of Metal Prices. AIAI 2021: 411-422 - [c17]Rafal Deja, Wojciech Froelich, Grazyna Deja:
Rule-based Medical Treatment Graph for the Modeling of Hypo-and Hyperglycemia at Onset. KES 2021: 1393-1400 - 2020
- [c16]Wojciech Froelich, Petr Hájek:
Combining Rough Set-based Relevance and Redundancy for the Ranking and Selection of Nominal Features. KES 2020: 1459-1468 - 2019
- [c15]Gonzalo Nápoles, Jose L. Salmeron, Wojciech Froelich, Rafael Falcon, Maikel León Espinosa, Frank Vanhoenshoven, Rafael Bello, Koen Vanhoof:
Fuzzy Cognitive Modeling: Theoretical and Practical Considerations. KES-IDT (1) 2019: 77-87 - [c14]Wojciech Froelich, Petr Hájek:
IVIFCM-TOPSIS for Bank Credit Risk Assessment. KES-IDT (1) 2019: 99-108 - 2018
- [c13]Petr Hájek, Ondrej Prochazka, Wojciech Froelich:
Interval-valued intuitionistic fuzzy cognitive maps for stock index forecasting. EAIS 2018: 1-7 - 2017
- [c12]Wojciech Froelich, Ewa Magiera:
ISS-EWATUS Decision Support System - Overview of Achievements. KES-IDT (1) 2017: 197-206 - 2016
- [c11]Wojciech Froelich:
Daily Urban Water Demand Forecasting - Comparative Study. BDAS 2016: 633-647 - 2015
- [c10]Wojciech Froelich:
Forecasting Daily Urban Water Demand Using Dynamic Gaussian Bayesian Network. BDAS 2015: 333-342 - [c9]Wojciech Froelich:
Dealing with Seasonality While Forecasting Urban Water Demand. KES-IDT 2015: 171-180 - [c8]Ewa Magiera, Wojciech Froelich:
Application of Bayesian Networks to the Forecasting of Daily Water Demand. KES-IDT 2015: 385-393 - 2012
- [c7]Wojciech Froelich:
Mining Association Rules from Database Tables with the Instances of Simpson's Paradox. ADBIS (2) 2012: 79-90 - 2011
- [c6]Wojciech Froelich, Alicja Wakulicz-Deja:
Probabilistic Similarity-Based Reduct. RSKT 2011: 610-615 - 2008
- [c5]Wojciech Froelich, Alicja Wakulicz-Deja:
Application of Fuzzy Cognitive Maps for Stock Market Modeling and Forecasting. IEA/AIE 2008: 72-81 - 2007
- [c4]Wojciech Froelich, Alicja Wakulicz-Deja:
Learning Fuzzy Cognitive Maps from the Web for the Stock Market Decision Support System. AWIC 2007: 106-111 - 2006
- [c3]Wojciech Froelich, Marek Kisiel-Dorohinicki, Edward Nawarecki:
Agent-Based Evolutionary Model for Knowledge Acquisition in Dynamical Environments. International Conference on Computational Science (3) 2006: 839-846 - [c2]Wojciech Froelich:
Lazy Learning of Agent in Dynamic Environment. Intelligent Information Systems 2006: 429-435 - 2005
- [c1]Wojciech Froelich:
Evolutionary Multi-Agent Model for Knowledge Acquisition. Intelligent Information Systems 2005: 553-560
Parts in Books or Collections
- 2014
- [p2]Wojciech Froelich, Elpiniki I. Papageorgiou:
Extended Evolutionary Learning of Fuzzy Cognitive Maps for the Prediction of Multivariate Time-Series. Fuzzy Cognitive Maps for Applied Sciences and Engineering 2014: 121-131 - 2009
- [p1]Wojciech Froelich, Przemyslaw Juszczuk:
Predictive Capabilities of Adaptive and Evolutionary Fuzzy Cognitive Maps - A Comparative Study. Intelligent Systems for Knowledge Management 2009: 153-174
Coauthor Index
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