Volodymyr Lytvynenko

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 54

Top Topics

Economic Growth

Clustering Algorithm

Gene Expression

Law Enforcement

Top Venues

Publications

Serge Olszewski, Iryna Lurie, Volodymyr Lytvynenko, Violetta Demchenko, Mariia Voronenko, Natalia Kornilovska, Oleg Boskin
Regression Modeling for Monitoring Organochlorine Pesticide Residues. MoMLeT+DS (2023)
Volodymyr Mayik, Lyudmyla Mayik, Kseniya Bazylyuk, Myroslava Dubnevych, Volodymyr Lytvynenko
Modeling of the Braille Font Elements Creation Process Using Regression Analysis. IntelITSIS (2023)
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)
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)
Iryna Fefelova, Andrey Fefelov, Volodymyr Lytvynenko, Oksana Ohnieva, Saule Smailova
Prediction of Native Protein Conformation by a Hybrid Algorithm of Clonal Selection and Differential Evolution. ISDMCI (2021)
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)
Sergii Babichev, Mykhailo Yasinskyi, Lyudmyla Yasinska-Damri, Yurii Ratushniak, Volodymyr Lytvynenko
Current State of the Problem of Gene Expression Data Processing and Extraction to Solve the Reverse Engineering Tasks in the Field of Bioinformatics. IntelITSIS (2021)
Serge Olszewski, Violetta Demchenko, Eva Zaets, Volodymyr Lytvynenko, Irina Lurie, Oleg Boskin, Sergiy Gnatyuk
Streaming Algorithm to the Decomposition of a Polyatomic Molecules Mass Spectra on the Polychlorinated Biphenyls Molecule Example. ISDMCI (2021)
Sergiy Gnatyuk, Dinara Ospanova, Volodymyr Lytvynenko, Zhazira Amirgaliyeva, Nurali Nabot Shohiyon
Assessing Risk of Enterprise Bankruptcy by Indicators of Financial and Economic Activity Using Bayesian Networks. CITRisk (2021)
Andrii Safonyk, Maksym Mishchanchuk, Volodymyr Lytvynenko
Intelligent Information System for the Determination of Iron in Coagulants Based on a Neural Network. IntelITSIS (2021)
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)
Iryna Fefelova, Andrey Fefelov, Oleksii K. Tyshchenko, Volodymyr Lytvynenko
An Object-Oriented Architecture of the Information System for Solving the Protein Folding Problem. IDAACS (2021)
Iryna Lurie, Volodymyr Lytvynenko, Serge Olszewski, Mariia Voronenko, Alexander Kornelyuk, Ulzhalgas Zhunissova, Oleg Boskin
The Use of Inductive Methods to Identify Subtypes of Glioblastomas in Gene Clustering. MoMLeT+DS (2020)
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)
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)
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)
Olexander Barmak, Iurii Krak, Eduard Manziuk, Volodymyr Lytvynenko, Oleg Kalyta
Classification Technology Based on Hyperplanes for Visual Analytics with Implementations for Different Subject Areas. IntelITSIS (2020)
Sergey Vyatkin, Olexandr Romanyuk, Sergii Pavlov, Pavlo Mykhaylov, Roman Chekhmestruk, Oksana Vodzinska, Olena Prozor, Volodymyr Lytvynenko
Manipulating Function-Based Objects with Interactive Collision Risk Models. CITRisk (2020)
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)
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)
Oleksii Ivanov, Liudmyla Koretska, Volodymyr Lytvynenko
Intelligent Modeling of Unified Communications Systems Using Artificial Neural Networks (short paper). IntelITSIS (2020)
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)
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 (2020)
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)
Viktor Perederyi, Eugene Borchik, Volodymyr Lytvynenko, Oksana Ohnieva
Information Technology for Performance Assessment of Complex Multilevel Systems in Managing Technogenic Objects. CITRisk (2020)
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)
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)
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)
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)
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)
Viktor Mashkov, Jirí Fiser, Volodymyr Lytvynenko, Maria Voronenko
Evaluation of Testing Assignment for System Level Self-Diagnosis. CMIS (2019)
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)
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)
Viktor Mashkov, Jirí Fiser, Volodymyr Lytvynenko, Maria Voronenko
Diagnosis of Intermittently Faulty Units at System Level. Data 4 (1) (2019)
Volodymyr Lytvynenko, Irina Lurie, Jan Krejci, Mariia Voronenko, Natalia Savina, Mohamed Ali Taif
Two Step Density-Based Object-Inductive Clustering Algorithm. MoMLeT (2019)
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)
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)
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)
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)
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)
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)
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)
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)
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)
Viktor Mashkov, Volodymyr Lytvynenko, Jirí Fiser, Maria Voronenko
Credibility of System Self-Checking When Tests are Performed Randomly. CSIT (1) (2018)
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)
Viktor Mashkov, Volodymyr Lytvynenko, Jirí Fiser, Maria Voronenko
Self-Diagnosis of the Systems with Intermittently Faulty Units. DSMP (2018)
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)
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)
Sergii Babichev, Jan Krejci, J. Bicanek, Volodymyr Lytvynenko
Gene expression sequences clustering based on the internal and external clustering quality criteria. CSIT (1) (2017)
Sergii Babichev, Volodymyr Lytvynenko, Maxim Korobchynskyi, Mochamed Ali Taiff
Objective Clustering Inductive Technology of Gene Expression Sequences Features. BDAS (2017)
Sergii Babichev, Volodymyr Lytvynenko, Volodymyr Osypenko
Implementation of the objective clustering inductive technology based on DBSCAN clustering algorithm. CSIT (1) (2017)
Sergii Babichev, Mohamed Ali Taif, Volodymyr Lytvynenko
Inductive model of data clustering based on the agglomerative hierarchical algorithm. DSMP (2016)
Viktor Mashkov, Jirí Fiser, Volodymyr Lytvynenko
Evaluation of testing assignment for system level self-diagnosis. DSMP (2016)