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Natalia Savina
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2020 – today
- 2023
- [c34]Mariia Voronenko, Elizaveta Mikhailova, Nataliia Savina, Iryna Lurie, Volodymyr Lytvynenko:
A Bayesian Network Approach to Measure the Impact of Factors Characterizing the State of Educational Institutions on the Gross Domestic Product. ACIT 2023: 316-320 - 2022
- [c33]Oleksii Kovalchuk
, Vitalii Slobodzian
, Olena Sobko
, Maryna Molchanova
, Olexander Mazurets
, Oleksander Barmak
, Iurii Krak
, Nataliia Savina
:
Visual Analytics-Based Method for Sentiment Analysis of COVID-19 Ukrainian Tweets. ISDMCI 2022: 591-607 - 2021
- [c32]Orken Mamyrbayev, Anzhelika Azarova, Liliia Nikiforova, Aliya Kalizhanova, Anatolii Shyian, Olga Ruzakova, Nataliia Savina:
Mathematical model and method of enterprise financial risk assessment based on threshold elements. CITRisk 2021: 275-291 - [c31]Bohdan Durnyak, Mikola Lutskiv, Petro Shepita, Danylo Hunko, Nataliia Savina:
Formation of Linear Characteristic of Normalized Raster Transformation for Rhombic Elements. IntelITSIS 2021: 127-133 - [c30]Bohdan Durnyak, Mikola Lutskiv, Petro Shepita, Roman Karpyn, Nataliia Savina:
Determination of the Optical Density of Two-Parameter Tone Transfer for a Short Printing System of the Sixth Dimension. IntelITSIS 2021: 134-140 - [c29]Oleksandr Naumov
, Mariia Voronenko
, Olga Naumova
, Nataliia Savina, Svitlana Vyshemyrska
, Vitaliy Korniychuk
, Volodymyr Lytvynenko
:
Using Bayesian Networks to Estimate the Effectiveness of Innovative Projects. ISDMCI 2021: 729-743 - [c28]Svetlana Yaremko
, Elena Kuzmina
, Nataliia Savina
, Dmitriy Yaremko
, Vladyslav Kuzmin
, Oksana Adler
:
Development of a Smart Education System for Analysis and Prediction of Students' Academic Performance. ISDMCI 2021: 762-775 - 2020
- [c27]Peter Bidyuk, Liudmyla Petrenko, Nataliia Savina, Tetyana Ivchenko, Mariia Voronenko:
Assessing Risk of Enterprise Bankruptcy by Indicators of Financial and Economic Activity Using Bayesian Networks. CITRisk 2020: 59-73 - [c26]Elena Kuzmina, Oksana Klochko, Nataliia Savina, Svetlana Yaremko, Roman Akselrod, Christine Strauss:
Risk Analysis of the Company's Activities by Means of Simulation. CITRisk 2020: 162-174 - [c25]Mariia Voronenko, Dmytro Nikytenko, Jan Krejci, Nataliia Savina, Volodymyr Lytvynenko:
Assessing the possibility of a country's economic growth using static bayesian network models. CMIS 2020: 462-473 - [c24]Volodymyr Lytvynenko, Dmytro Nikytenko, Mariia Voronenko, Jan Krejci, Natalia Savina:
Comparative Study of Noisy-MAX Nodes and General Nodes in Bayesian Network Models. COLINS 2020: 56-66 - [c23]Volodymyr Lytvynenko, Dmytro Nikytenko
, Mariia Voronenko, Nataliia Savina, Oleksandr Naumov:
Assessing the Possibility of a Country's Economic Growth Using Dynamic Bayesian Network Models. CSIT (1) 2020: 36-39 - [c22]Mariia Voronenko
, Dmytro Nikytenko
, Jan Krejci
, Nataliia Krugla
, Oleksandr Naumov
, Nataliia Savina
, Volodymyr Lytvynenko
:
Dynamic Bayesian Network Model of a Country's Economic Extension. CSIT 2020: 145-159 - [c21]Mariia Voronenko
, Dmytro Nikytenko
, Jan Krejci
, Nataliia Krugla
, Oleksandr Naumov
, Nataliia Savina
, Elzara Topalova
, Viktoriia Filippova
, Volodymyr Lytvynenko
:
Dynamic Bayesian Networks Application for Economy Competitiveness Situational Modelling. CSIT 2020: 210-224 - [c20]Kateryna Yalova, Kseniia Yashyna, Nataliia Savina:
Medical Information System Development: Practical Aspects. IntelITSIS 2020: 122-132 - [c19]Volodymyr Lytvynenko
, Oleksandr Naumov
, Mariia Voronenko
, Jan Krejci
, Larisa Naumova
, Dmytro Nikytenko
, Nataliia Savina
:
Dynamic Bayesian Networks Application for Evaluating the Investment Projects Effectiveness. ISDMCI 2020: 315-330 - [c18]Olena Moroz
, Vladimir Semtsov
, Nataliia Savina
, Irina Shvarts
, Oksana Bezsmertna
, Tetiana Bilokon
, Tetiana Piliavoz
:
Organization-Managerial Mechanism of the Counteraction to Non-Observable Economic Processes in the Agricultural Sphere of Ukraine. ISDMCI 2020: 480-495 - [c17]Violetta Demchenko, Serge Olszewski, Mariia Voronenko, Eva Zaets, Nataliia Savina, Iryna Lurie, Volodymyr Lytvynenko:
Modeling and Predicting the Organochlorine Pesticides Concentration in the Child's Body Based on their Accumulation in the Mother's Body. MoMLeT+DS 2020: 419-432
2010 – 2019
- 2019
- [c16]Volodymyr Lytvynenko
, Nataliia Savina
, Marian Pyrtko, Mariia Voronenko, Roman Baranenko
, Ivan Lopushynskyi:
Development, Validation and Testing of the Bayesian Network to Evaluate the National Law Enforcement Agencies' work. ACIT 2019: 252-256 - [c15]Andrii Fefelov, Volodymyr Lytvynenko, Ali Taif, Natalia Savina, Maria Voronenko, Irina Lurie, Oleg Boskin:
Hybrid Immune Algorithms in the Gene Regulatory Networks Reconstruction Problems. CMIS 2019: 193-210 - [c14]Irina Lurie, Andrii Podlevskyi, Natalia Savina, Maria Voronenko, Anna Pashnina, Volodymyr Lytvynenko:
Inductive Technology of the Objective Cauterization of Enterprise's Economic Indicators of Ukraine. CMIS 2019: 848-859 - [c13]Volodymyr Lytvynenko
, Irina Lurie, Mariia Voronenko, Andrey Fefelov
, Nataliia Savina, Ivan Lopushynskyi, Jan Krejci
, Petro Vorona:
The use of Bayesian methods in the task of localizing the narcotic substances distribution. CSIT (2) 2019: 60-63 - [c12]Volodymyr Lytvynenko
, Nataliia Savina
, Jan Krejci
, Andrey Fefelov
, Iryna Lurie
, Mariia Voronenko, Ivan Lopushynskyi, Petro Vorona:
Dynamic Bayesian Networks in the Problem of Localizing the Narcotic Substances Distribution. CSIT 2019: 421-438 - [c11]Volodymyr Lytvynenko
, Nataliia Savina
, Mariia Voronenko, Nadia Doroschuk, Saule Smailova
, Oleg Boskin, Tatyana Kravchenko:
Development, Validation and Testing of the Bayesian Network of Educational Institutions Financing. IDAACS 2019: 412-417 - [c10]Volodymyr Lytvynenko
, Nataliia Savina
, Mariia Voronenko, Anna Pashnina, Roman Baranenko
, Nataliia Krugla, Ivan Lopushynskyi:
Development of the Dynamic Bayesian Network to Evaluate the National Law Enforcement Agencies' Work. IDAACS 2019: 418-423 - [c9]Volodymyr Osypenko, Irina Lurie, Maryna Yakobchuk, Nataliia Savina
, Oleg Boskin, Volodymyr Lytvynenko
:
About Innovation-Investment Designing of Complex Systems by Inductive Technology of System Information-Analytical Research. IDAACS 2019: 424-430 - [c8]Oleksandr Murzenko, Serge Olszewski, Oleg Boskin, Irina Lurie, Nataliia Savina
, Mariia Voronenko, Volodymyr Lytvynenko
:
Application of a Combined Approach for Predicting a Peptide-Protein Binding Affinity Using Regulatory Regression Methods with Advance Reduction of Features. IDAACS 2019: 431-435 - [c7]Volodymyr Lytvynenko, Mariia Voronenko, Serge Sitalo, Oleg Boskin, Iryna Lurie, Natalia Savina, Yaroslav Tanasiichuk, Nataliia Krugla:
Using a Bayesian Network to Assess the Atmospheric Pollution Influence on Immunological Parameters. IDDM 2019: 222-233 - [c6]Serge Olszewski
, Pawel Komada
, Andrzej Smolarz
, Volodymyr Lytvynenko
, Nataliia Savina
, Mariia Voronenko
, Svitlana Vyshemyrska
, Anton Omelchuk
, Iryna Lurie
:
Some Features of the Numerical Deconvolution of Mixed Molecular Spectra. ISDMCI 2019: 20-34 - [c5]Oleg Mashkov
, Victoria Kosenko, Nataliia Savina
, Yuriy Rozov
, Svitlana Radetska
, Mariia Voronenko
:
Information Technologies for Environmental Monitoring of Plankton Algae Distribution Based on Satellite Image Data. ISDMCI 2019: 434-446 - [c4]Volodymyr Lytvynenko
, Waldemar Wójcik
, Andrey Fefelov
, Iryna Lurie
, Nataliia Savina
, Mariia Voronenko
, Oleg Boskin
, Saule Smailova
:
Hybrid Methods of GMDH-Neural Networks Synthesis and Training for Solving Problems of Time Series Forecasting. ISDMCI 2019: 513-531 - [c3]Iryna Fefelova
, Andrey Fefelov
, Volodymyr Lytvynenko
, Róza Dzierzak, Iryna Lurie
, Nataliia Savina
, Mariia Voronenko
, Svitlana Vyshemyrska
:
Protein Tertiary Structure Prediction with Hybrid Clonal Selection and Differential Evolution Algorithms. ISDMCI 2019: 673-688 - [c2]Volodymyr Lytvynenko, Natalia Savina, Jan Krejci, Mariia Voronenko, Maryna Yakobchuk, Olena Kryvoruchko:
Bayesian Networks' Development Based on Noisy-MAX Nodes for Modeling Investment Processes in Transport. MoMLeT 2019: 1-10 - [c1]Volodymyr Lytvynenko, Irina Lurie, Jan Krejci, Mariia Voronenko, Natalia Savina, Mohamed Ali Taif:
Two Step Density-Based Object-Inductive Clustering Algorithm. MoMLeT 2019: 117-135
Coauthor Index
aka: Mariia Voronenko
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last updated on 2024-05-06 21:12 CEST by the dblp team
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