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Maria Voronenko
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2020 – today
- 2023
- [c42]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 - [c41]Serge Olszewski, Iryna Lurie, Volodymyr Lytvynenko, Violetta Demchenko, Mariia Voronenko, Natalia Kornilovska, Oleg Boskin:
Regression Modeling for Monitoring Organochlorine Pesticide Residues. MoMLeT+DS 2023: 204-218 - [c40]Malgorzata Szatkowska, Waldemar Wójcik, Wojciech Legiec, Iryna Lurie, Serge Olszewski, Volodymyr Lytvynenko, Mariia Voronenko:
Novel Methodology for Detecting Effective Features in Patients with Multiple Myeloma. MoMLeT+DS 2023: 582-609 - 2022
- [c39]Vsevolod Novikov
, Mariia Voronenko
, Anastasiia Novikova
, Oleg Boskin
, Oleksii K. Tyshchenko
, Yuriy Rozov
, Yuriy Bardachov
, Svitlana Vyshemyrska
:
Machine Learning of the Biotechnic System for Gastroesophageal Reflux Disease Monitoring. ISDMCI 2022: 387-406 - 2021
- [c38]Mariia Voronenko
, Olena Kovalchuk
, Luidmyla Lytvynenko
, Svitlana Vyshemyrska
, Iurii Krak
:
An Expert System Prototype for the Early Diagnosis of Pneumonia. ISDMCI 2021: 714-728 - [c37]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 - [c36]Volodymyr Lytvynenko, Mariia Voronenko, Olena Kovalchuk, Ulzhalgas Zhunissova, Luidmyla Lytvynenko:
Bayesian Methods Application for the Differential Diagnosis of the Chronic Obstructive Pulmonary Disease. MoMLeT+DS 2021: 851-862 - 2020
- [c35]Mariia Voronenko, Oleksandr Naumov
, Larisa Naumova, Elzara Topalova
, Viktoriia Filippova
, Volodymyr Lytvynenko:
Analysis of the Effectiveness of an Investment Project Using Statistical Bayesian Networks. ACIT 2020: 408-411 - [c34]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 - [c33]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 - [c32]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 - [c31]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 - [c30]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 - [c29]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 - [c28]Serge Olszewski
, Yeva Zajets
, Violetta Demchenko
, Oleg Boskin
, Mariia Voronenko
, Volodymyr Lytvynenko
, Iryna Perova
, Dmitry Stepanchikov
:
Expansion of the Capabilities of Chromatography-Mass Spectrometry Due to the Numerical Decomposition of the Signal with the Mutual Superposition of Mass Spectra. DSMP (Selected Papers) 2020: 218-237 - [c27]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 - [c26]Iryna Lurie
, Volodymyr Lytvynenko
, Serge Olszewski
, Mariia Voronenko
, Waldemar Wóicik
, Oleg Boskin
, Ulzhalgas Zhunissova
, Michael Sherstiuk
:
Application of Inductive Bayesian Hierarchical Clustering Algorithm to Identify Brain Tumors. ISDMCI 2020: 567-584 - [c25]Iryna Lurie, Volodymyr Lytvynenko, Serge Olszewski, Mariia Voronenko, Alexander I. Kornelyuk, Ulzhalgas Zhunissova, Oleg Boskin:
The Use of Inductive Methods to Identify Subtypes of Glioblastomas in Gene Clustering. MoMLeT+DS 2020: 406-418 - [c24]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
- [j1]Viktor Mashkov
, Jirí Fiser, Volodymyr Lytvynenko
, Maria Voronenko:
Diagnosis of Intermittently Faulty Units at System Level. Data 4(1): 44 (2019) - [c23]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 - [c22]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 - [c21]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 - [c20]Viktor Mashkov, Jirí Fiser, Volodymyr Lytvynenko, Maria Voronenko:
Evaluation of Testing Assignment for System Level Self-Diagnosis. CMIS 2019: 1004-1019 - [c19]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 - [c18]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 - [c17]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 - [c16]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 - [c15]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 - [c14]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 - [c13]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 - [c12]Viktor Mashkov
, Josef Bicanek
, Yuriy Bardachov
, Mariia Voronenko
:
Unconventional Approach to Unit Self-diagnosis. ISDMCI 2019: 81-96 - [c11]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 - [c10]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 - [c9]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 - [c8]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 - [c7]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 - 2018
- [c6]Iryna Lurie, Volodymyr Lytvynenko
, Volodymyr Osypenko, Maria Voronenko:
The Use of Inductive Methods for Determination of the Binding Affinity of Interacting Biological Molecules. CSIT (1) 2018: 1-5 - [c5]V. Peredery, Maria Voronenko, E. Borchik, Jan Krejci
:
Information Technology of Operative Formation and Evaluation of Relevant Alternatives of Decision-Making in Human-Machine Systems of Critical Application. CSIT (1) 2018: 33-36 - [c4]Viktor Mashkov
, Volodymyr Lytvynenko
, Jirí Fiser, Maria Voronenko:
Credibility of System Self-Checking When Tests are Performed Randomly. CSIT (1) 2018: 396-399 - [c3]Sergii Babichev
, Volodymyr Lytvynenko
, Jirí Skvor, Maxim Korobchynskyi
, Maria Voronenko:
Information Technology of Gene Expression Profiles Processing for Purpose of Gene Regulatory Networks Reconstruction. DSMP 2018: 336-341 - [c2]Viktor Mashkov
, Volodymyr Lytvynenko
, Jirí Fiser, Maria Voronenko:
Self-Diagnosis of the Systems with Intermittently Faulty Units. DSMP 2018: 411-414 - 2017
- [c1]Serhii Okrenets, Andrii Fefelov
, Volodymyr Lytvynenko
, Volodymyr Osypenko, Maksym Korobchynskyi
, Maria Voronenko:
Synthesis and learning of fuzzy neural networks for solving forecasting problems. IDAACS 2017: 1088-1093
Coauthor Index
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last updated on 2024-07-10 21:32 CEST by the dblp team
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