| Fast learning algorithm for deep evolving GMDH-SVM neural network in data stream mining tasks Y Bodyanskiy, O Vynokurova, I Pliss, G Setlak, P Mulesa 2016 IEEE First International Conference on Data Stream Mining & Processing …, 2016 | 26 | 2016 |
| Hybrid neuro-neo-fuzzy system and its adaptive learning algorithm Y Bodyanskiy, O Vynokurova, G Setlak, I Pliss 2015 Xth International Scientific and Technical Conference" Computer …, 2015 | 25 | 2015 |
| Adaptive multivariate hybrid neuro-fuzzy system and its on-board fast learning Y Bodyanskiy, O Vynokurova, G Setlak, D Peleshko, P Mulesa Neurocomputing 230, 409-416, 2017 | 21 | 2017 |
| The fuzzy-neuro classifier for decision support G Setlak Institute of Information Theories and Applications FOI ITHEA, 2008 | 20 | 2008 |
| Object-oriented dynamic networks DO Terletskyi, OI Provotar, G Setlak, K Markov Computational Models for Business and Engineering Domains 30, 123-136, 2014 | 16 | 2014 |
| Fuzzy clustering of distorted observations based on optimal expansion using partial distances A Shafronenko, A Dolotov, Y Bodyanskiy, G Setlak 2018 IEEE Second International Conference on Data Stream Mining & Processing …, 2018 | 13 | 2018 |
| Deep evolving GMDH-SVM-neural network and its learning for Data Mining tasks G Setlak, Y Bodyanskiy, O Vynokurova, I Pliss 2016 Federated Conference on Computer Science and Information Systems …, 2016 | 13 | 2016 |
| Hybrid generalized additive neuro-fuzzy system and its adaptive learning algorithms Y Bodyanskiy, G Setlak, D Peleshko, O Vynokurova 2015 IEEE 8th International Conference on Intelligent Data Acquisition and …, 2015 | 13 | 2015 |
| Design concept of intelligent management systems G Setlak, S Pieczonka Intelligent Information and Engineering Systems 3, 142-149, 2009 | 13 | 2009 |
| A concept of building an intelligent system to support diabets diagnostics W Szajnar, G Setlak Studia Informatica 32 (2A), 259-270, 2011 | 9 | 2011 |
| Adaptive fuzzy clustering of multivariate short time series with unevenly distributed observations based on matrix neuro-fuzzy self-organizing network G Setlak, Y Bodyanskiy, I Pliss, O Vynokurova, D Peleshko, I Kobylin Advances in Fuzzy Logic and Technology 2017: Proceedings of: EUSFLAT-2017 …, 2018 | 8 | 2018 |
| Informational support of managerial decisions as a new kind of business intelligence systems V Stepashko, O Samoilenko, R Voloschuk, G Setlak, K Markov Computational Models for Business and Engineering Domains, 269-279, 2014 | 8 | 2014 |
| Zastosowanie metod eksploracji danych do segmentacji rynków G Setlak, Ł Pa¶ko Studia Informatica 34 (2A), 2013 | 8 | 2013 |
| Artificial intelligence approach to diabetes diagnostics G Setlak, M D±browski, W Szajnar, M Piróg-Mazur, T Kożak Information and Engineering Systems 209, 2009 | 8 | 2009 |
| Решение задач многокритериальной оптимизации с использованием генетических алгоритмов Г Сетлак Системні дослідження та інформаційні технології, 2002 | 8 | 2002 |
| Fuzzy neural networks in intelligent manufacturing systems G Setlak Proceedings of the International Workshop on Intelligent Data Acquisition …, 2001 | 8 | 2001 |
| Fuzzy-neuro system for decision-making in management G Setlak System research and information technologies, 72-81, 2003 | 6 | 2003 |
| Neural networks in intelligent decision support systems for management G Setlak Journal of Automation and Information Sciences, Kiev N 1, 112-119, 2000 | 6 | 2000 |
| Adaptive multivariate generalized additive neuro-fuzzy systems and its on-board fast learning B Ye, O Vynokurova, D Peleshko, G Setlak, P Mulesa Neurocomputing 230, 409-416, 2017 | 5 | 2017 |
| Database and Knowledge Base as integral part of the Intelligent Decision Support System, created for Manufacturing Companies M Piróg-Mazur, G Setlak Business and Engineering Applications of Intelligent and Information Systems …, 2011 | 5 | 2011 |
Yevgeniy BodyanskiyKharkiv National University of Radio Electronics, Artificial Intelligence Department, ControlVerified email at nure.ua
