| 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 |
| Two Step Density-Based Object-Inductive Clustering Algorithm. V Lytvynenko, I Lurie, J Krejci, M Voronenko, N Savina, MA Taif MoMLeT, 117-135, 2019 | 31 | 2019 |
| A fuzzy model for gene expression profiles reducing based on the complex use of statistical criteria and Shannon entropy S Babichev, V Lytvynenko, A Gozhyj, M Korobchynskyi, M Voronenko Advances in Computer Science for Engineering and Education 13, 545-554, 2019 | 31 | 2019 |
| Bayesian Networks' Development Based on Noisy-MAX Nodes for Modeling Investment Processes in Transport. V Lytvynenko, N Savina, J Krejci, M Voronenko, M Yakobchuk, ... MoMLeT, 1-10, 2019 | 25 | 2019 |
| Information technology of gene expression profiles processing for purpose of gene regulatory networks reconstruction S Babichev, V Lytvynenko, J Škvor, M Korobchynskyi, M Voronenko 2018 IEEE Second International Conference on Data Stream Mining & Processing …, 2018 | 25 | 2018 |
| Content analysis of some social media of the occupied territories of Ukraine V Lytvynenko, I Lurie, S Radetska, M Voronenko, N Kornilovska, ... Computational linguistics andintelligent systems (COLINS 2017), 2017 | 18 | 2017 |
| Development, validation and testing of the Bayesian network of educational institutions financing V Lytvynenko, N Savina, M Voronenko, N Doroschuk, S Smailova, ... 2019 10th ieee international conference on intelligent data acquisition and …, 2019 | 17 | 2019 |
| Comparative studies of self-organizing algorithms for forecasting economic parameters V Lytvynenko, O Kryvoruchko, I Lurie, N Savina, O Naumov, M Voronenko International Journal of Modern Education and Computer Science 12 (6), 1-15, 2020 | 13 | 2020 |
| Comparison analysis of biclustering algorithms with the use of artificial data and gene expression profiles S Babichev, V Osypenko, V Lytvynenko, M Voronenko, M Korobchynskyi 2018 IEEE 38th International Conference on Electronics and Nanotechnology …, 2018 | 13 | 2018 |
| Assessing the possibility of a country's economic growth using dynamic bayesian network models V Lytvynenko, D Nikytenko, M Voronenko, N Savina, O Naumov 2020 IEEE 15th International Conference on Computer Sciences and Information …, 2020 | 11 | 2020 |
| Dynamic bayesian networks application for evaluating the investment projects effectiveness V Lytvynenko, O Naumov, M Voronenko, J Krejci, L Naumova, ... International Scientific Conference “Intellectual Systems of Decision Making …, 2020 | 11 | 2020 |
| Development of the dynamic Bayesian network to evaluate the national law enforcement agencies' work V Lytvynenko, N Savina, M Voronenko, A Pashnina, R Baranenko, ... 2019 10th IEEE International Conference on Intelligent Data Acquisition and …, 2019 | 11 | 2019 |
| Development, validation and testing of the Bayesian network to evaluate the national law enforcement agencies’ work V Lytvynenko, N Savina, M Pyrtko, M Voronenko, R Baranenko, ... 2019 9th International Conference on Advanced Computer Information …, 2019 | 11 | 2019 |
| The use of static bayesian networks for situational modeling of national economy competitiveness O Romanko, M Voronenko, N Savina, I Zhorova, W Wójcik, V Lytvynenko 2019 IEEE International Conference on Advanced Trends in Information Theory …, 2019 | 10 | 2019 |
| 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 |
| Application of a combined approach for predicting a peptide-protein binding affinity using regulatory regression methods with advance reduction of features O Murzenko, S Olszewski, O Boskin, I Lurie, N Savina, M Voronenko, ... 2019 10th IEEE International Conference on Intelligent Data Acquisition and …, 2019 | 9 | 2019 |
| The Use of Inductive Methods to Identify Subtypes of Glioblastomas in Gene Clustering. I Lurie, V Lytvynenko, S Olszewski, M Voronenko, A Kornelyuk, ... MoMLeT+ DS, 406-418, 2020 | 8 | 2020 |
| Bayesian Methods Application for the Differential Diagnosis of the Chronic Obstructive Pulmonary Disease. V Lytvynenko, M Voronenko, O Kovalchuk, U Zhunissova, L Lytvynenko MoMLeT+ DS, 851-862, 2021 | 7 | 2021 |
| 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 | 6 | 2019 |
| Inductive technology of the target clusterization of enterprise’s economic indicators of Ukraine I Lurie, A Podlevskyi, N Savina, M Voronenko, A Pashnina, V Lytvynenko CEUR Workshop Proceedings 2353, 848-859, 2019 | 6 | 2019 |
Volodymyr LytvynenkoKherson National Technical University
