Synthesis and learning of fuzzy neural networks for solving forecasting problems. - Serhii Okrenets; Andrii Fefelov; Volodymyr Lytvynenko; Volodymyr Osypenko; Maksym Korobchynskyi; Maria Voronenko (IDAACS, 2017)

The Use of Inductive Methods for Determination of the Binding Affinity of Interacting Biological Molecules. - Iryna Lurie; Volodymyr Lytvynenko; Volodymyr Osypenko; Maria Voronenko (CSIT (1), 2018)

Credibility of System Self-Checking When Tests are Performed Randomly. - Viktor Mashkov; Volodymyr Lytvynenko; Jirí Fiser; Maria Voronenko (CSIT (1), 2018)

Information Technology of Operative Formation and Evaluation of Relevant Alternatives of Decision-Making in Human-Machine Systems of Critical Application. - V. Peredery; Maria Voronenko; E. Borchik; Jan Krejci (CSIT (1), 2018)

Information Technology of Gene Expression Profiles Processing for Purpose of Gene Regulatory Networks Reconstruction. - Sergii Babichev; Volodymyr Lytvynenko; Jirí Skvor; Maxim Korobchynskyi; Maria Voronenko (DSMP, 2018)

Self-Diagnosis of the Systems with Intermittently Faulty Units. - Viktor Mashkov; Volodymyr Lytvynenko; Jirí Fiser; Maria Voronenko (DSMP, 2018)

Development, Validation and Testing of the Bayesian Network to Evaluate the National Law Enforcement Agencies' work. - Volodymyr Lytvynenko; Nataliia Savina; Marian Pyrtko; Mariia Voronenko; Roman Baranenko; Ivan Lopushynskyi (ACIT, 2019)

Hybrid Immune Algorithms in the Gene Regulatory Networks Reconstruction Problems. - Andrii Fefelov; Volodymyr Lytvynenko; Ali Taif; Natalia Savina; Maria Voronenko; Irina Lurie; Oleg Boskin (CMIS, 2019)

Inductive Technology of the Objective Cauterization of Enterprise's Economic Indicators of Ukraine. - Irina Lurie; Andrii Podlevskyi; Natalia Savina; Maria Voronenko; Anna Pashnina; Volodymyr Lytvynenko (CMIS, 2019)

Evaluation of Testing Assignment for System Level Self-Diagnosis. - Viktor Mashkov; Jirí Fiser; Volodymyr Lytvynenko; Maria Voronenko (CMIS, 2019)

The use of Bayesian methods in the task of localizing the narcotic substances distribution. - Volodymyr Lytvynenko; Irina Lurie; Mariia Voronenko; Andrey Fefelov; Nataliia Savina; Ivan Lopushynskyi; Jan Krejci; Petro Vorona (CSIT (2), 2019)

Dynamic Bayesian Networks in the Problem of Localizing the Narcotic Substances Distribution. - Volodymyr Lytvynenko; Nataliia Savina; Jan Krejci; Andrey Fefelov; Iryna Lurie; Mariia Voronenko; Ivan Lopushynskyi; Petro Vorona (CSIT, 2019)

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 (IDAACS, 2019)

Development of the Dynamic Bayesian Network to Evaluate the National Law Enforcement Agencies' Work. - Volodymyr Lytvynenko; Nataliia Savina; Mariia Voronenko; Anna Pashnina; Roman Baranenko; Nataliia Krugla; Ivan Lopushynskyi (IDAACS, 2019)

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 (IDAACS, 2019)

Using a Bayesian Network to Assess the Atmospheric Pollution Influence on Immunological Parameters. - Volodymyr Lytvynenko; Mariia Voronenko; Serge Sitalo; Oleg Boskin; Iryna Lurie; Natalia Savina; Yaroslav Tanasiichuk; Nataliia Krugla (IDDM, 2019)

Protein Tertiary Structure Prediction with Hybrid Clonal Selection and Differential Evolution Algorithms. - Iryna Fefelova; Andrey Fefelov; Volodymyr Lytvynenko; Róza Dzierzak; Iryna Lurie; Nataliia Savina; Mariia Voronenko; Svitlana Vyshemyrska (ISDMCI, 2019)

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 (ISDMCI, 2019)

Unconventional Approach to Unit Self-diagnosis. - Viktor Mashkov; Josef Bicanek; Yuriy Bardachov; Mariia Voronenko (ISDMCI, 2019)

Information Technologies for Environmental Monitoring of Plankton Algae Distribution Based on Satellite Image Data. - Oleg Mashkov; Victoria Kosenko; Nataliia Savina; Yuriy Rozov; Svitlana Radetska; Mariia Voronenko (ISDMCI, 2019)

Some Features of the Numerical Deconvolution of Mixed Molecular Spectra. - Serge Olszewski; Pawel Komada; Andrzej Smolarz; Volodymyr Lytvynenko; Nataliia Savina; Mariia Voronenko; Svitlana Vyshemyrska; Anton Omelchuk; Iryna Lurie (ISDMCI, 2019)

Two Step Density-Based Object-Inductive Clustering Algorithm. - Volodymyr Lytvynenko; Irina Lurie; Jan Krejci; Mariia Voronenko; Natalia Savina; Mohamed Ali Taif (MoMLeT, 2019)

Bayesian Networks' Development Based on Noisy-MAX Nodes for Modeling Investment Processes in Transport. - Volodymyr Lytvynenko; Natalia Savina; Jan Krejci; Mariia Voronenko; Maryna Yakobchuk; Olena Kryvoruchko (MoMLeT, 2019)

Diagnosis of Intermittently Faulty Units at System Level. - Viktor Mashkov; Jirí Fiser; Volodymyr Lytvynenko; Maria Voronenko (Data, 2019)

Analysis of the Effectiveness of an Investment Project Using Statistical Bayesian Networks. - Mariia Voronenko; Oleksandr Naumov; Larisa Naumova; Elzara Topalova; Viktoriia Filippova; Volodymyr Lytvynenko (ACIT, 2020)

Assessing Risk of Enterprise Bankruptcy by Indicators of Financial and Economic Activity Using Bayesian Networks. - Peter Bidyuk; Liudmyla Petrenko; Nataliia Savina; Tetyana Ivchenko; Mariia Voronenko (CITRisk, 2020)

Assessing the possibility of a country's economic growth using static bayesian network models. - Mariia Voronenko; Dmytro Nikytenko; Jan Krejci; Nataliia Savina; Volodymyr Lytvynenko (CMIS, 2020)

Comparative Study of Noisy-MAX Nodes and General Nodes in Bayesian Network Models. - Volodymyr Lytvynenko; Dmytro Nikytenko; Mariia Voronenko; Jan Krejci; Natalia Savina (COLINS, 2020)

Assessing the Possibility of a Country's Economic Growth Using Dynamic Bayesian Network Models. - Volodymyr Lytvynenko; Dmytro Nikytenko; Mariia Voronenko; Nataliia Savina; Oleksandr Naumov (CSIT (1), 2020)

Dynamic Bayesian Network Model of a Country's Economic Extension. - Mariia Voronenko; Dmytro Nikytenko; Jan Krejci; Nataliia Krugla; Oleksandr Naumov; Nataliia Savina; Volodymyr Lytvynenko (CSIT, 2020)

Dynamic Bayesian Networks Application for Economy Competitiveness Situational Modelling. - Mariia Voronenko; Dmytro Nikytenko; Jan Krejci; Nataliia Krugla; Oleksandr Naumov; Nataliia Savina; Elzara Topalova; Viktoriia Filippova; Volodymyr Lytvynenko (CSIT, 2020)

Expansion of the Capabilities of Chromatography-Mass Spectrometry Due to the Numerical Decomposition of the Signal with the Mutual Superposition of Mass Spectra. - Serge Olszewski; Yeva Zajets; Violetta Demchenko; Oleg Boskin; Mariia Voronenko; Volodymyr Lytvynenko; Iryna Perova; Dmitry Stepanchikov (DSMP (Selected Papers), 2020)

Application of Inductive Bayesian Hierarchical Clustering Algorithm to Identify Brain Tumors. - Iryna Lurie; Volodymyr Lytvynenko; Serge Olszewski; Mariia Voronenko; Waldemar Wóicik; Oleg Boskin; Ulzhalgas Zhunissova; Michael Sherstiuk (ISDMCI, 2020)

Dynamic Bayesian Networks Application for Evaluating the Investment Projects Effectiveness. - Volodymyr Lytvynenko; Oleksandr Naumov; Mariia Voronenko; Jan Krejci; Larisa Naumova; Dmytro Nikytenko; Nataliia Savina (ISDMCI, 2020)

Modeling and Predicting the Organochlorine Pesticides Concentration in the Child's Body Based on their Accumulation in the Mother's Body. - Violetta Demchenko; Serge Olszewski; Mariia Voronenko; Eva Zaets; Nataliia Savina; Iryna Lurie; Volodymyr Lytvynenko (MoMLeT+DS, 2020)

The Use of Inductive Methods to Identify Subtypes of Glioblastomas in Gene Clustering. - Iryna Lurie; Volodymyr Lytvynenko; Serge Olszewski; Mariia Voronenko; Alexander I. Kornelyuk; Ulzhalgas Zhunissova; Oleg Boskin (MoMLeT+DS, 2020)

Using Bayesian Networks to Estimate the Effectiveness of Innovative Projects. - Oleksandr Naumov; Mariia Voronenko; Olga Naumova; Nataliia Savina; Svitlana Vyshemyrska; Vitaliy Korniychuk; Volodymyr Lytvynenko (ISDMCI, 2021)

An Expert System Prototype for the Early Diagnosis of Pneumonia. - Mariia Voronenko; Olena Kovalchuk; Luidmyla Lytvynenko; Svitlana Vyshemyrska; Iurii Krak (ISDMCI, 2021)

Bayesian Methods Application for the Differential Diagnosis of the Chronic Obstructive Pulmonary Disease. - Volodymyr Lytvynenko; Mariia Voronenko; Olena Kovalchuk; Ulzhalgas Zhunissova; Luidmyla Lytvynenko (MoMLeT+DS, 2021)

Machine Learning of the Biotechnic System for Gastroesophageal Reflux Disease Monitoring. - Vsevolod Novikov; Mariia Voronenko; Anastasiia Novikova; Oleg Boskin; Oleksii K. Tyshchenko; Yuriy Rozov; Yuriy Bardachov; Svitlana Vyshemyrska (ISDMCI, 2022)

A Bayesian Network Approach to Measure the Impact of Factors Characterizing the State of Educational Institutions on the Gross Domestic Product. - Mariia Voronenko; Elizaveta Mikhailova; Nataliia Savina; Iryna Lurie; Volodymyr Lytvynenko (ACIT, 2023)

Regression Modeling for Monitoring Organochlorine Pesticide Residues. - Serge Olszewski; Iryna Lurie; Volodymyr Lytvynenko; Violetta Demchenko; Mariia Voronenko; Natalia Kornilovska; Oleg Boskin (MoMLeT+DS, 2023)

Novel Methodology for Detecting Effective Features in Patients with Multiple Myeloma. - Malgorzata Szatkowska; Waldemar Wójcik; Wojciech Legiec; Iryna Lurie; Serge Olszewski; Volodymyr Lytvynenko; Mariia Voronenko (MoMLeT+DS, 2023)

Application of Mutual Information Estimation Methods for Feature Selection in Regression Problems of Aviation Traffic Forecasting. - Volodymyr Lytvynenko; Oleksandr Naumov; Mariia Voronenko; Olha Naumov; Iryna Lurie; Petro Radovenchuk (ACIT, 2024)