| Hybrid methods of GMDH-neural networks synthesis and training for solving problems of time series forecasting V Lytvynenko, W Wojcik, A Fefelov, I Lurie, N Savina, M Voronenko, ... Lecture Notes in Computational Intelligence and Decision Making: Proceedings …, 2020 | 40 | 2020 |
| Combining clonal selection algorithm and gene expression programming for time series prediction VI Litvinenko, PI Bidyuk, JN Bardachov, VG Sherstjuk, AA Fefelov 2005 IEEE Intelligent Data Acquisition and Advanced Computing Systems …, 2005 | 22 | 2005 |
| The use of Bayesian methods in the task of localizing the narcotic substances distribution V Lytvynenko, I Lurie, M Voronenko, A Fefelov, N Savina, I Lopushynskyi, ... 2019 IEEE 14th International Conference on Computer Sciences and Information …, 2019 | 10 | 2019 |
| Dynamic Bayesian networks in the problem of localizing the narcotic substances distribution V Lytvynenko, N Savina, J Krejci, A Fefelov, I Lurie, M Voronenko, ... Conference on Computer Science and Information Technologies, 421-438, 2019 | 7 | 2019 |
| Reconstruction of the gene regulatory network by hybrid algorithm of clonal selection and trigonometric differential evolution A Fefelov, V Lytvynenko, M Voronenko, S Babichev, V Osypenko 2018 IEEE 38th International Conference on Electronics and Nanotechnology …, 2018 | 5 | 2018 |
| Reconstruction of the S-system by a hybrid algorithm for clonal selection and differential evolution AA Fefelov, VI Lytvynenko, MA Taif, MA Voronenko Control Systems and Computers.-Kyiv, 41-51, 2017 | 4 | 2017 |
| Protein Tertiary Structure Prediction with Hybrid Clonal Selection and Differential Evolution Algorithms I Fefelova, A Fefelov, V Lytvynenko, R Dzierżak, I Lurie, N Savina, ... Lecture Notes in Computational Intelligence and Decision Making: Proceedings …, 2020 | 3 | 2020 |
| Predicting the protein tertiary structure by hybrid clonal selection algorithms on 3d Square Lattice I Fefelova, A Fefelov, M Voronenko, A Kornelyuk, A Sachenko, E Ryzhkov, ... 2020 IEEE 15th International Conference on Advanced Trends in …, 2020 | 2 | 2020 |
| Decision support system architecture for forecasting of nonstationary financial processes and corresponding risks OA Kozhukhivska, AO Fefelov, PI Bidyuk, AD Kozhukhivskyi Радіоелектроніка, інформатика, управління, 158-165, 2014 | 2 | 2014 |
| Diagnosing Technical Objects Based on Artificial Immune Systems and Bayesian Networks. PI Bidyuk, LO Korshevnyuk, AO Fefelov, VI Litvinenko Naukovi visti NTUU-KPI 2011 (2), 2011 | 2 | 2011 |
| An Inductive Immune Algorithm Based on the Cooperation Principles PI Bidjuk, JN Bardachov, VI Litvinenko, AA Fefelov, AV Hodakovskij International Workshop on Inductive Modelling Proceedings, Prague, 204-209, 2007 | 2 | 2007 |
| Prediction of native protein conformation by a hybrid algorithm of clonal selection and differential evolution I Fefelova, A Fefelov, V Lytvynenko, O Ohnieva, S Smailova International Scientific Conference “Intellectual Systems of Decision Making …, 2021 | 1 | 2021 |
| Mutation schemes of the hybrid clonal selection algorithm for the reconstruction of gene regulatory networks AO Fefelov, VI Lytvynenko, IA Lurie, VV Osypenko, IM Melnychuk, ... Information Technology in Medical Diagnostics II, 245-252, 2019 | 1 | 2019 |
| Hybrid immune algorithms in the gene regulatory networks reconstruction AO Fefelov, VI Lytvynenko, MA Taif, NB Savina, MA Voronenko, IA Lurie, ... CEUR Workshop Proceedings 2353, 193-210, 2019 | 1 | 2019 |
| An Object-Oriented Architecture of the Information System for Solving the Protein Folding Problem I Fefelova, AA Fefelov, OK Tyshchenko, VI Lytvynenko 2021 11th IEEE International Conference on Intelligent Data Acquisition and …, 2021 | | 2021 |
| Reverse engineering of the gene regulatory network with combined use of the clonal selection algorithm and differential evolution AA Fefelov, MA Taif, VI Lytvynenko, MA Voronenko, OM Stepanchenko, ... Системні технології, 74-84, 2017 | | 2017 |
| A Multi-Objective Immune Approach To Reconstruct Gene Regulatory Network Using Algorithm Clonal Selection VI Lytvynenko, AA Fefelov, MA Taif, IA Lurie Системні технології, 67-84, 2015 | | 2015 |
| Structural and Parametric Synthesis of Predictive RBF Neural Networks Using Artificial Immune Systems VI Lytvynenko, PI Bidjuk, AF Rogalsky, AA Fefelov, VA Fedchuk American Journal of Control Systems and Information Technology 3 (1), 20-30, 2014 | | 2014 |
| FORMALIZATION OF THE METHODS FOR CONSTRUCTING ARTIFICIAL IMMUNE SYSTEMS. PI Bidyuk, VI Litvinenko, AO Fefelov Naukovi visti NTUU-KPI 2007 (1), 2007 | | 2007 |
| editors: Caufield JH, Chen SH, Cheng HD, Duro R., Honavar V.-Том. 6. Proceedings of the 6th Joint Conference on Information Sciences, JCIS 2002.-Сер. Proceedings of the 6th … VI Litvinenko, AA Fefelov, AA Tkachuk, VE Hodakov | | 2002 |
