Mariia Voronenko

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 33

Top Topics

Economic Growth

Differential Diagnosis

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)
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)
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)
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)
Mariia Voronenko, Olena Kovalchuk, Luidmyla Lytvynenko, Svitlana Vyshemyrska, Iurii Krak
An Expert System Prototype for the Early Diagnosis of Pneumonia. ISDMCI (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 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)
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)
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)
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)
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)
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)
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)
Volodymyr Lytvynenko, Irina Lurie, Jan Krejci, Mariia Voronenko, Natalia Savina, Mohamed Ali Taif
Two Step Density-Based Object-Inductive Clustering Algorithm. MoMLeT (2019)
Viktor Mashkov, Josef Bicanek, Yuriy Bardachov, Mariia Voronenko
Unconventional Approach to Unit Self-diagnosis. ISDMCI (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)
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)
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)