Oleg Boskin
Kherson National Technical University
12 Papers
24 Citations
Oleg Boskin is an academic researcher from Kherson National Technical University. The author has contributed to research in topics: Bayesian network & Cluster analysis. The author has an hindex of 3, co-authored 11 publications.
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Papers
Hybrid Methods of GMDH-Neural Networks Synthesis and Training for Solving Problems of Time Series Forecasting
Volodymyr Lytvynenko,Waldemar Wójcik,Andrey Fefelov,Iryna Lurie,Nataliia Savina,Mariia Voronenko,Oleg Boskin,Saule Smailova +7 more
- 21 May 2019
TL;DR: For solving the problem of forecasting non-stationary time series, hybrid learning methods for GMDH-neural networks are proposed, which combine artificial immune systems with members of the evolutionary algorithm family, in particular, gene expression programming systems.
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Development, Validation and Testing of the Bayesian Network of Educational Institutions Financing
Volodymyr Lytvynenko,Nataliia Savina,Mariia Voronenko,Nadia Doroschuk,Saule Smailova,Oleg Boskin,Tatyana Kravchenko +6 more
- 01 Sep 2019
TL;DR: A methodology for using static Bayesian networks (BN) to simulate the processes of educational institutions financing and their impact on Gross Domestic Product (GDP) is proposed.
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Application of a Combined Approach for Predicting a Peptide-Protein Binding Affinity Using Regulatory Regression Methods with Advance Reduction of Features
Oleksandr Murzenko,Serge Olszewski,Oleg Boskin,Irina Lurie,Nataliia Savina,Mariia Voronenko,Volodymyr Lytvynenko +6 more
- 01 Sep 2019
TL;DR: The work proposed a new method for predicting the binding affinity of peptides in order to find the numerical values of peptide bonds that are highly accurate, robust and adequate.
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The Use of Inductive Methods to Identify Subtypes of Glioblastomas in Gene Clustering.
Iryna Lurie,Volodymyr Lytvynenko,Serge Olszewski,Mariia Voronenko,A. I. Kornelyuk,Ulzhalgas Zhunissova,Oleg Boskin +6 more
- 01 Jan 2020
TL;DR: The article presents an inductive clustering model of RNA-seq data for solving the problem of identifying glioblastomas subtypes by inductive methods based on kand c-means algorithms.
Using Bayesian Methods for Predicting the Development of Children Autism
Mariia Voronenko,Iryna Lurie,Oleg Boskin,Ulzhalgas Zhunissova,Roman Baranenko,Volodymyr Lytvynenko +5 more
- 01 Dec 2019
TL;DR: A methodology for using static Bayesian networks (BN) in the tasks of predicting the development of the children’s disease “autism” aged 4 to 11 years is proposed.
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