Mariia Voronenko - researchr alias

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Viewing Publication 1 - 30 from 30

2023

2021

Bayesian Methods Application for the Differential Diagnosis of the Chronic Obstructive Pulmonary DiseaseVolodymyr Lytvynenko, Mariia Voronenko, Olena Kovalchuk, Ulzhalgas Zhunissova, Luidmyla Lytvynenko. momlet 2021: 851-862 [doi]

2020

Assessing Risk of Enterprise Bankruptcy by Indicators of Financial and Economic Activity Using Bayesian NetworksPeter Bidyuk, Liudmyla Petrenko, Nataliia Savina, Tetyana Ivchenko, Mariia Voronenko. citrisk 2021: 59-73 [doi]

Modeling and Predicting the Organochlorine Pesticides Concentration in the Child's Body Based on their Accumulation in the Mother's BodyVioletta Demchenko, Serge Olszewski, Mariia Voronenko, Eva Zaets, Nataliia Savina, Iryna Lurie, Volodymyr Lytvynenko. momlet 2020: 419-432 [doi]

Application of Inductive Bayesian Hierarchical Clustering Algorithm to Identify Brain TumorsIryna Lurie, Volodymyr Lytvynenko, Serge Olszewski, Mariia Voronenko, Waldemar Wóicik, Oleg Boskin, Ulzhalgas Zhunissova, Michael Sherstiuk. isdmci 2021: 567-584 [doi]

The Use of Inductive Methods to Identify Subtypes of Glioblastomas in Gene ClusteringIryna Lurie, Volodymyr Lytvynenko, Serge Olszewski, Mariia Voronenko, Alexander Kornelyuk, Ulzhalgas Zhunissova, Oleg Boskin. momlet 2020: 406-418 [doi]

Comparative Study of Noisy-MAX Nodes and General Nodes in Bayesian Network ModelsVolodymyr Lytvynenko, Dmytro Nikytenko, Mariia Voronenko, Jan Krejci, Natalia Savina. colins 2020: 56-66 [doi]

Assessing the Possibility of a Country's Economic Growth Using Dynamic Bayesian Network ModelsVolodymyr Lytvynenko, Dmytro Nikytenko, Mariia Voronenko, Nataliia Savina, Oleksandr Naumov. csit 2020: 36-39 [doi]

Dynamic Bayesian Networks Application for Evaluating the Investment Projects EffectivenessVolodymyr Lytvynenko, Oleksandr Naumov, Mariia Voronenko, Jan Krejci, Larisa Naumova, Dmytro Nikytenko, Nataliia Savina. isdmci 2021: 315-330 [doi]

Expansion of the Capabilities of Chromatography-Mass Spectrometry Due to the Numerical Decomposition of the Signal with the Mutual Superposition of Mass SpectraSerge Olszewski, Yeva Zajets, Violetta Demchenko, Oleg Boskin, Mariia Voronenko, Volodymyr Lytvynenko, Iryna Perova, Dmitry Stepanchikov. dsmp 2020: 218-237 [doi]

Dynamic Bayesian Network Model of a Country's Economic ExtensionMariia Voronenko, Dmytro Nikytenko, Jan Krejci, Nataliia Krugla, Oleksandr Naumov, Nataliia Savina, Volodymyr Lytvynenko. csit 2021: 145-159 [doi]

Dynamic Bayesian Networks Application for Economy Competitiveness Situational ModellingMariia Voronenko, Dmytro Nikytenko, Jan Krejci, Nataliia Krugla, Oleksandr Naumov, Nataliia Savina, Elzara Topalova, Viktoriia Filippova, Volodymyr Lytvynenko. csit 2021: 210-224 [doi]

Assessing the possibility of a country's economic growth using static bayesian network modelsMariia Voronenko, Dmytro Nikytenko, Jan Krejci, Nataliia Savina, Volodymyr Lytvynenko. cmis 2020: 462-473 [doi]

Analysis of the Effectiveness of an Investment Project Using Statistical Bayesian NetworksMariia Voronenko, Oleksandr Naumov, Larisa Naumova, Elzara Topalova, Viktoriia Filippova, Volodymyr Lytvynenko. acit4 2020: 408-411 [doi]

2019

Protein Tertiary Structure Prediction with Hybrid Clonal Selection and Differential Evolution AlgorithmsIryna Fefelova, Andrey Fefelov, Volodymyr Lytvynenko, Róza Dzierzak, Iryna Lurie, Nataliia Savina, Mariia Voronenko, Svitlana Vyshemyrska. isdmci 2020: 673-688 [doi]

Development of the Dynamic Bayesian Network to Evaluate the National Law Enforcement Agencies' WorkVolodymyr Lytvynenko, Nataliia Savina, Mariia Voronenko, Anna Pashnina, Roman Baranenko, Nataliia Krugla, Ivan Lopushynskyi. idaacs 2019: 418-423 [doi]

Development, Validation and Testing of the Bayesian Network to Evaluate the National Law Enforcement Agencies' workVolodymyr Lytvynenko, Nataliia Savina, Marian Pyrtko, Mariia Voronenko, Roman Baranenko, Ivan Lopushynskyi. acit4 2019: 252-256 [doi]

Dynamic Bayesian Networks in the Problem of Localizing the Narcotic Substances DistributionVolodymyr Lytvynenko, Nataliia Savina, Jan Krejci, Andrey Fefelov, Iryna Lurie, Mariia Voronenko, Ivan Lopushynskyi, Petro Vorona. csit 2020: 421-438 [doi]

The use of Bayesian methods in the task of localizing the narcotic substances distributionVolodymyr Lytvynenko, Irina Lurie, Mariia Voronenko, Andrey Fefelov, Nataliia Savina, Ivan Lopushynskyi, Jan Krejci, Petro Vorona. csit 2019: 60-63 [doi]

Two Step Density-Based Object-Inductive Clustering AlgorithmVolodymyr Lytvynenko, Irina Lurie, Jan Krejci, Mariia Voronenko, Natalia Savina, Mohamed Ali Taif. momlet 2019: 117-135 [doi]

Using a Bayesian Network to Assess the Atmospheric Pollution Influence on Immunological ParametersVolodymyr Lytvynenko, Mariia Voronenko, Serge Sitalo, Oleg Boskin, Iryna Lurie, Natalia Savina, Yaroslav Tanasiichuk, Nataliia Krugla. iddm 2019: 222-233 [doi]

Development, Validation and Testing of the Bayesian Network of Educational Institutions FinancingVolodymyr Lytvynenko, Nataliia Savina, Mariia Voronenko, Nadia Doroschuk, Saule Smailova, Oleg Boskin, Tatyana Kravchenko. idaacs 2019: 412-417 [doi]

Hybrid Methods of GMDH-Neural Networks Synthesis and Training for Solving Problems of Time Series ForecastingVolodymyr Lytvynenko, Waldemar Wójcik, Andrey Fefelov, Iryna Lurie, Nataliia Savina, Mariia Voronenko, Oleg Boskin, Saule Smailova. isdmci 2020: 513-531 [doi]

Bayesian Networks' Development Based on Noisy-MAX Nodes for Modeling Investment Processes in TransportVolodymyr Lytvynenko, Natalia Savina, Jan Krejci, Mariia Voronenko, Maryna Yakobchuk, Olena Kryvoruchko. momlet 2019: 1-10 [doi]

Information Technologies for Environmental Monitoring of Plankton Algae Distribution Based on Satellite Image DataOleg Mashkov, Victoria Kosenko, Nataliia Savina, Yuriy Rozov, Svitlana Radetska, Mariia Voronenko. isdmci 2020: 434-446 [doi]

Unconventional Approach to Unit Self-diagnosisViktor Mashkov, Josef Bicanek, Yuriy Bardachov, Mariia Voronenko. isdmci 2020: 81-96 [doi]

Application of a Combined Approach for Predicting a Peptide-Protein Binding Affinity Using Regulatory Regression Methods with Advance Reduction of FeaturesOleksandr Murzenko, Serge Olszewski, Oleg Boskin, Irina Lurie, Nataliia Savina, Mariia Voronenko, Volodymyr Lytvynenko. idaacs 2019: 431-435 [doi]

Some Features of the Numerical Deconvolution of Mixed Molecular SpectraSerge Olszewski, Pawel Komada, Andrzej Smolarz, Volodymyr Lytvynenko, Nataliia Savina, Mariia Voronenko, Svitlana Vyshemyrska, Anton Omelchuk, Iryna Lurie. isdmci 2020: 20-34 [doi]

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