Вороненко Марія Олександрівна

Кандидат технічних наук, доцент
m.v.voronenko@op.edu.ua
ЄДЕБО ID: 
3915482
Job 
Docent
Department of Information Systems
Higher Education 

Кандидат наук - 05.13.06 Інформаційні технології

Спеціаліст - Комп`ютерні та інтелектуальні системи і мережі

Спеціаліст - Економіка підприємств

Degree 

Кандидат технічних наук

Academic status 

Associated professor

Major scientific publications 
Статті

Comparative studies of self-organizing algorithms for forecasting economic parameters / V. Lytvynenko, O. Kryvoruchko, I. Lurie, N. Savina, O. Naumov, M. Voronenko // International Journal of Modern Education and Computer Science IJMECS 2020. - 2020. - Vol. 12, N 6. - P. 1-15.

Using Bayesian Methods in the Task of Modeling the Patients' Pharmacoresistance Development / M. A. Voronenko, U. M. Zhunissova, S. S. Smailova, L. N. Lytvynenko, N. B. Savina, P. P. Mulesa, V. I. Lytvynenko // Informatyka, Automatyka, Pomiary W Gospodarce. Ochronie Środowiska. – 2022. – Vol. 12, N 2. – P. 77–82.

Application of bayesian networks to determine the impact of higher education on economic development / S. S. Smailova, M. Voronenko, S. K. Kumargazhanova, Y. V. Blinayeva, A. S. Tlebaldinova // Information and communication technologies // "VESTNIK VKTU" . - Ust-Kamenogorsk, Kazakhstan : D. Serikbayev East Kazakhstan Technical University, 2024. - № 3. - Р. 189-199.

Diagnosis of Intermittently Faulty Units at System Level / V. Mashkov, Ji. Fiser, V. Lytvynenko, M. Voronenko // Data. - 2019. - Vol. 4, Iss. 1. - [?].

Information technology of operative formation and evaluation of relevant alternatives of decision-making in human–machine systems of critical application / V. Peredery, М. Voronenko, E. Borchik, J. Krejci // Computer Sciences and Information Technologies CSIT 2018 : proceedings of IEEE 13th International іcientific and technical conference, Lviv, Ukraine, september 11-14 2018. - 2018. - P. 33-36.

Монографії

Development of bayesian network`s dynamic models / M. Voronenko , V. Lytvynenko , S. Smailova, S. Kumargazhanova : monogr.- Ust-Kamenogorsk: EKTU, 2024. – 126 p.

Neural and Bayesian Networks Application Areas : monograph / M. Voronenko, V. Lytvynenko, S. Antoshchuk, O. Arsirii, M. Drozd, A. Nikolenko, O. Babilunha, S. Vyshemyrska. – 2025. – 156 p.

Конференції

Application of Mutual Information Estimation Methods for Feature Selection in Regression Problems of Aviation Traffic Forecasting / V. Lytvynenko, O. Naumov, M. Voronenko, L. Naumova, I. Lurie, P. Radovenchuk // International Conference on Advanced Computer Information Technologies, ACIT 2024 : proceedings of the 14th International Conference, Ceske Budejovice, Czech Republic, 19-21 september 2024. - 2024. - P. 784-789.

A Bayesian Network Approach to Measure the Impact of Factors Characterizing the State of Educational Institutions on the Gross Domestic Product / M. Voronenko, E. Mikhailova, N. Savina, I. Lurie, V. Lytvynenko // International Conference on Advanced Computer Information Technologies, ACIT 2023 : proceedings of the 13th International Conference, Wroclaw, Poland, 21-23 september 2023. - 2023. - P. 316-320.

Analysis of the Effectiveness of an Investment Project Using Statistical Bayesian Networks / M. Voronenko, O. Naumov, L. Naumova, E. Topalova, V. Filippova, V. Lytvynenko // International Conference on Advanced Computer Information Technologies, ACIT 2023 : proceedings of the 10th International Conference, Deggendorf, Germany, 16-18 september 2020. - 2020. - P. 408-411.

Development, validation and testing of the Bayesian network to evaluate the national law enforcement agencies’ work / V. Lytvynenko, N. Savina, M. Pyrtko, M. Voronenko, R. Baranenko, I. Lopushynskyi // International Conference on Advanced Computer Information Technologies, ACIT 2019 : proceedings of the 9th International Conference, Ceske Budejovice, Czech Republic, 05-07 june 2019. - 2019. - P. 252-256.

Novel Methodology for Detecting Effective Features in Patients with Multiple Myeloma / M. Szatkowska, W. Wójcik, W. Legieć, I. Lurie, S. Olszewski, V. Lytvynenko, M. Voronenko // Modern Machine Learning Technologies and Data Science MoMLeT+DS 2023 : proceedings of 5th International Workshop, Lviv, Ukraine, June 3-4, 2023. -2023. - P. 582–609.

Regression Modeling for Monitoring Organochlorine Pesticide Residues / S. Olszewski, I. Lurie, V. Lytvynenko, V. Demchenko, M. Voronenko, N. Kornilovska, O. Boskin // Modern Machine Learning Technologies and Data Science MoMLeT+DS 2023 : proceedings of 5th International Workshop, Lviv, Ukraine, June 3-4, 2023. -2023. - P. 204–218. - [CEUR Workshop Proceedings, Vol. 3426]

Model of the formation of geographic baric fields / D. Koroliouk, M. Zoziuk, P. Krysenko, M. Voronenko, Y. Yakymenko // Information Technology and Mathematical Modeling for Environmental Safety, ITMMES 2021 : proceedings of 5th International Workshop, Kyiv, Ukraine, October 7 , 2021. - 2021. - P. 171–179. - [CEUR Workshop Proceedings, Vol. 3021]

Bayesian methods application for the differential diagnosis of the chronic obstructive pulmonary disease / V. Lytvynenko, M. Voronenko, O. Kovalchuk, U. Zhunissova, L. N. Lytvynenko // Modern Machine Learning Technologies and Data Science MoMLeT+DS 2021 : proceedings of 3th International Workshop, Lviv-Shatsk, Ukraine, June 5, 2021. -2021. -P. 851–862. - [CEUR Workshop Proceedings, Vol. 2917]

Modeling and Predicting the Organochlorine Pesticides Concentration in the Child’s Body Based on their Accumulation in the Mother’s Body / V. Demchenko, S. Olszewski, M. Voronenko, E. Zaets, N. Savina, I. Lurie, V. Lytvynenko // CEUR Workshop Proceedings. - 2020. - Vol. 2631 : [Modern Machine Learning Technologies and Data Science MoMLeT+DS 2020 : proceedings of 2th International Workshop, Lviv-Shatsk, Ukraine, june 2-3 2020]. - P. [419-432].

The Use of Inductive Methods to Identify Subtypes of Glioblastomas in Gene Clustering / I. Lurie, V. Lytvynenko, S. Olszewski, M. Voronenko, A. Kornelyuk, U. Zhunissova, О. Boskin // Modern Machine Learning Technologies and Data Science MoMLeT+DS 2020 : proceedings of 2th International Workshop, Lviv-Shatsk, Ukraine, June 2-3, 2020. -2020. - P. 406-418. - [CEUR Workshop Proceedings, Vol. 2631]

Comparative Study of Noisy-MAX Nodes and General Nodes in Bayesian Network Models / V. Lytvynenko, D. Nikytenko, M. Voronenko, J. Krejci, N. Savina // CEUR Workshop Proceedings. - 2020. - Vol. 2604 : [Computational Linguistics and Intelligent Systems COLINS 2020 : proceedings of 4th International Conference, Lviv, Ukraine, april 23-24 2020]. - P. [56-66].

Predicting the Protein Tertiary Structure by Hybrid Clonal Selection Algorithms on 3D Square Lattice / I. Fefelova, A. Fefelov, M. Voronenko , A. Kornelyuk, A. Sachenko, E. Ryzhkov, V. Lytvynenko // 15th International conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering, TCSET 2020 : proceedings, Lviv – Slavske, Ukraine, february 18–20, 2020. – 2020. – P. 965–968.

Using Bayesian Methods for Predicting the Development of Children Autism / M. Voronenko, I. Lurie, O. Boskin, U. Zhunissova, R. Baranenko, V. Lytvynenko // IEEE International conference on Advanced Trends in Information Theory, ATIT 2019 : proceedings, Kyiv, Ukraine, december 18-20 2019. - 2019. - P. 525-529.

The Use of Static Bayesian Networks for Situational Modeling of National Economy Competitiveness / O. Romanko, M. Voronenko, N. Savina, I. Zhorova, W. Wójcik, V. Lytvynenko // IEEE International conference on Advanced Trends in Information Theory Atit 2019 : proceedings, Kyiv, Ukraine, december 18-20 2019. - 2019. - P. 501-505.

Using a Bayesian Network to Assess the Atmospheric Pollution Influence on Immunological Parameters / V. Lytvynenko, М. Voronenko, S. Sitalo, O. Boskin, I. Lurie, N. Savinа, Ya. Tanasiichuk, N. Kruglа // CEUR Workshop Proceedings. - 2019. - Vol. 2488 : [Informatics & Data-Driven Medicine IDDM’2019 : proceedings of 2th International Workshop, Lviv, Ukraine, november 11-13 2019]. - P. [222-233].

The use of Bayesian methods in the task of localizing the narcotic substances distribution / V. Lytvynenko, І. Lurie, M. Voronenko, A. Fefelov, N. Savina, I. Lopushynskyi // IEEE 14th International conference on Computer Sciences and Information Technologies (CSIT) : proceedings, Lviv, Ukraine, september 17-20 2019. - 2019. - P. 60-63.

Expansion of the capabilities of chromatography-mass spectrometry due to the numerical decomposition of the signal with the mutual superposition of mass spectra / S. Olszewski, Yе. Zajets, V. Demchenko, O. Boskin, M. Voronenko, V. Lytvynenko, I. Perova, D. Stepanchikov // Communications in Computer and Information Science : Data Stream Mining & Processing DSMP 2020, 05 november 2020. - 2020. - P. 218-237. - [Part of the book series: Communications in Computer and Information Science ((CCIS, Vol. 1158))].

Assessing the possibility of a country's economic growth using static Bayesian network models / M. Voronenko, D. Nikytenko, J. Krejci, N. Savina, V. Lytvynenko // CEUR Workshop Proceedings. - 2020. - Vol. 2608 : Computer Modeling and Intelligent Systems CMIS-2020 : proceedings of the Third International Workshop, Zaporizhzhia, Ukraine, april 27 - may 1 2020. - P. 462-473.

Bayesian networks application to forecast the national economies development taking into account the water factor / N. Savina, N. Kovshun, V. Kostrychenko, M. Voronenko, V. Koval // IOP Conference Series: Earth and Environmental Science. - 2021. - Vol. 915 (1) : International conference on Environmental Sustainability in Natural Resources Management, Odesa, Ukraine, 15-16 october 2021. - P. 1-9.

Вороненко, М. О. Діагностування порушень ментального здоров’я за допомогою байєсівських мереж / М. О. Вороненко, О. Є. Бондаренко // Інформаційні технології: наука, техніка, технологія, освіта, здоров’я. MicroCAD-2025 : XХXІІI Міжн. наук.-практ. конф., Харків,14-17 травня 2025. - Харків: НТУ «ХПІ», 2025. -Т.1, №1. - С. 1550.

Сіренко, М. О. Прогнозування навантаження у мікросервісних системах з використанням глибинних нейронних мереж / М. О. Сіренко, М. О. Вороненко // Сучасні інформаційні технології - 2025 «Modern Information Technology – 2025» : 15-та Міжнар. наук. конф. студентів та молодих вчених, Одеса, 15-16 травня 2025. - Одеса : Наука і техніка, 2025. - С. 30-32. https://doi.org/10.5281/zenodo.15521809

Вороненко, М. О. Діагностування порушень ментального здоров’я за допомогою cтатичних байєсівських мереж / М. О. Вороненко, Т. С. Пояцика // Сучасні інформаційні технології – 2025 «Modern Information Technology – 2025» : 15-та Міжнар. наук. конф. студентів та молодих вчених, Одеса 15-16 трав. 2025. - Одеса : Наука і техніка, 2025. - С. 65-67.

Voronenko, M. Methods of probably forecasting the impact of war on environment / М. Voronenko, V. Skrypchenko // Intellectual systems for decision making and problems of computational intelligence, ISDMCI’2024 : XX International Scientific Internet-Conference 2024. - Khmelnitskyi, Ukraine, Usti nad Labem, Czech Republic, June 20-23 2024.- Херсон:
Книжкове видавництво ФОП Вишемирський В. С., 2024. -Vol.1. - Р. 32-34.

Розробка та впровадження ефективних методів веб-скрапінгу для автоматизованого збору і обробки даних з використанням Python / Р. К. Січкарюк, Н. В. Корніловська, І. А. Лур’є, М. О.Вороненко // Інформатика. Культура. Техніка : Х Міжн. наук.-прак. конф., Одеса, 26-27 верес. 2024. - Одеса, 2024. -Том 1, №1.- С. 62-69.

Application of a Combined Approach for Predicting a Peptide-Protein Binding Affinity Using Regulatory Regression Methods with Advance Reduction of Features / O. Murzenko, S. Olszewski, O. Boskin, I. Lurie, N. Savina, М. Voronenko, V. Lytvynenko // Proceedings of the 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS 2019, Metz, France, 18-21 september 2019. - 2019. - P. 431-435.

Development of the Dynamic Bayesian Network to Evaluate the National Law Enforcement Agencies’ Work / V. Lytvynenko, N. Savinа, М. Voronenko, A. Pashnina, R. Baranenko, N. Krugla, I. Lopushynskyi // Intelligent data acquisition and advanced computing systems - technology and applications IDAACS-2019 : proceedings of the 10th International Conference, Metz, France, 18-21 september 2019. - 2019. - P. 418-423.

Development, validation and testing of the Bayesian network of educational institutions financing / V. Lytvynenko, N. Savinа, М. Voronenko, N. Doroschuk, Saule Smailova, О. Boskin // Intelligent data acquisition and advanced computing systems - technology and applications IDAACS-2019 : proceedings of the 10th International сonference, Metz, France, 18-21 september 2019. - 2019. - P. 412-417.

Two Step Density-Based Object-Inductive Clustering Algorithm / V. Lytvynenko, I. Lurie, Jan Krejci, M. Voronenko, N. Savina, Mohamed Ali Taif // Modern Machine Learning Technologies and Data Science MoMLeT+DS 2019 : proceedings of the 8-th International Workshop, Shatsk, Ukraine, june 2-4 2019. - 2019. - P. 117-135. - [CEUR Workshop Proceedings, Vol. 2386].

Bayesian Networks' Development Based on Noisy-MAX Nodes for Modeling Investment Processes in Transport / V. Lytvynenko, N. Savina, Jan Krejci, M. Voronenko, M. Yakobchuk, O. Kryvoruchko // Modern Machine Learning Technologies and Data Science MoMLeT+DS 2019 : proceedings of the 8-th International Workshop, Shatsk, Ukraine, june 2-4 2019. - 2019. - P. 1-10. - [CEUR Workshop Proceedings, Vol. 2386].

Inductive technology of the target clusterization of enterprise’s economic indicators of Ukraine / І. Lurie, A. Podlevsky, N. Savina, M. Voronenko, A. Pashnina, V. Lytvynenko // CEUR Workshop Proceedings. - 2019. - Vol. 2353 : Computer Modeling and Intelligent Systems CMIS-2019 : proceedings of 2th International Workshop, Zaporizhzhia, Ukraine, april 15-19 2019. - P. 848-859.

Hybrid immune algorithms in the gene regulatory networks reconstruction / A. O. Fefelov, V. I. Lytvynenko, M. A. Taif, N. B. Savina, M. A. Voronenko, I. A. Lurie, O. O. Boskin // CEUR Workshop Proceedings. - 2019. - Vol. 2353 : Computer Modeling and Intelligent Systems CMIS-2019 : proceedings of 2th International Workshop, Zaporizhzhia, Ukraine, april 15-19 2019. - P. 193-210.

Evaluation of testing assignment for system level self-diagnosis / V. Mashkov, J. Fiser, V. Lytvynenko, M. Voronenko // CEUR Workshop Proceedings. - 2019. - Vol. 2353 : Computer Modeling and Intelligent Systems CMIS-2019 : proceedings of 2th International Workshop, Zaporizhzhia, Ukraine, april 15-19 2019. - P. 1004-1019.

Information Technology of Gene Expression Profiles Processing for Purpose of Gene Regulatory Networks Reconstruction / S. Babichev, V. Lytvynenko, J. Škvor, M. Korobchynskyi, M. Voronenko // Data Stream Mining & Processing DSMP 2018 : proceedings of the 2-nd International conference, Lviv, Ukraine, august 21-25 2018. - 2018. - P. 336-342.

Self-Diagnosis of the Systems with Intermittently Faulty Units / V. Mashkov, V. Lytvynenko J. Fišer, M. Voronenko // Data Stream Mining & Processing DSMP 2018 : proceedings of the 2-nd International сonference, Lviv, Ukraine, August 21-25 2018. - 2018. - P. 411-414.

Тhe use of inductive methods for the determination of the binding affinity interecting biological molecules / I. Lurie, V. Lytvynenko, V. Osypenko, М. Voronenko // Computer Sciences and Information Technologies CSIT 2018 : proceedings of IEEE 13th International scientific and technical conference, Lviv, Ukraine, september 11-14 2018. - 2018. - P. 483-487.

Reconstruction of the gene regulatory network by hybrid algorithm of clonal selection and trigonometric differential evolution / A. Fefelov, V. Lytvynenko, M. Voronenko, S. Babichev, V. Osypenko // Electronics and nanotechnology, ELNANO 2018 : proceedings of IEEE 38-th International scientific and technical conference, Kyiv, Ukraine, april 24-26 2018. - 2018. - P. 305-309.

Comparison Analysis of Biclustering Algorithms With the Use of Artificial Data and Gene Expression Profiles / S. Babichev, V. Osypenko, V. Lytvynenko, М. Voronenko, M. Korobchynskyi // Electronics and nanotechnology, ELNANO 2018 : proceedings of IEEE 38-th International scientific and technical conference, Kyiv, Ukraine, april 24-26 2018. - 2018. - P. 298-304.

Synthesis and Learning of Fuzzy Neural Networks for Solving Forecasting Problems / S. Okrenets, A. Fefelov, V. Lytvynenko, V. Osypenko, M. Korobchynskyi, M. Voronenko // Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) : proceedings of the 9-th International conference, Bucharest, Romania, 21-23 september 2017. - 2017. - P. 1088-1093.

Content Analysis of some Social Media of the Occupied Territories of Ukraine / V. Lytvynenko, I. Lurie, S. Radetska, M. Voronenko, N. Kornilovska, D. Partenjucha // Computational linguistics and intelligent systems 2017 : proceedings of the 1st International Conference, Kharkiv, Ukraine, april 21 2017. - 2017. - P. 84-95.

Поповідченко, В. О. Створення рекомендаційної системи для оптимізації управління персональною бібліотекою на базі Node.js / В. О. Поповідченко, М. О. Вороненко // Ways of Science Development in Modern Crisis Conditions : proceedings of the 6th International scientific and practical internet conference, Dnipro, Ukraine, june 4-5 2025. - 2025. - P. 241-244.

Вороненко М. О., Жила Д. Ю., Вахромєєв Г. О., Мудрак В. Б. Ймовірнісні методи прогнозування впливу забруднення навколишнього середовища в наслідок війни на здоров’я людини // Синергія науки і бізнесу у повоєн. відновленні регіонів України : матеріали ІІ Міжнарод. наук.-практ. конф., 24-26 квітня 2024 р. Одеса, 2024. Т. 2. С. 157-162.

Вороненко М. О., Євтух О. С. Побудова та дослідження моделей ефективності роботи електронного магазину із забезпеченням інформаційної безпеки // Синергія науки і бізнесу у повоєн. відновленні регіонів України : матеріали ІІ Міжнарод. наук.-практ. конф., 24-26 квітня 2024 р. Одеса, 2024. Т. 2. С. 118-122.

Lytvynenko V., Voronenko M., Moshynskyi V., Savina N., Manzhula V., Saule Smailova. Using Dynamic Bayesian Methods in the Task of Financing Educational Institutions // 15th International Conference on Advanced Computer Information Technologies, ACIT : рroceedings, Šibenik, CROATIA, 17-19 september 2025. 2025. Р. 212–216.

Lytvynenko V., Antoshchuk S., Manzhula V., Voronenko M., Lurie І., Mrychin A. Probabilistic Modeling of Delivery Performance in Uncertain Supply Chains Using the Monte Carlo Method // 15th International Conference on Advanced Computer Information Technologies (ACIT), Šibenik, CROATIA, 17-19 september 2025. 2025. Р. 217–223.