Maria Voronenko
Orcid: 0000-0002-5392-5125
According to our database1,
Maria Voronenko
authored at least 43 papers
between 2017 and 2023.
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Bibliography
2023
Novel Methodology for Detecting Effective Features in Patients with Multiple Myeloma.
Proceedings of the Modern Machine Learning Technologies and Data Science Workshop (MoMLeT&DS 2023), 2023
Proceedings of the Modern Machine Learning Technologies and Data Science Workshop (MoMLeT&DS 2023), 2023
A Bayesian Network Approach to Measure the Impact of Factors Characterizing the State of Educational Institutions on the Gross Domestic Product.
Proceedings of the 13th International Conference on Advanced Computer Information Technologies, 2023
2022
Machine Learning of the Biotechnic System for Gastroesophageal Reflux Disease Monitoring.
Proceedings of the Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making, 2022
2021
Bayesian Methods Application for the Differential Diagnosis of the Chronic Obstructive Pulmonary Disease.
Proceedings of the Modern Machine Learning Technologies and Data Science Workshop. Proc. 3rd International Workshop (MoMLeT&DS 2021). Volume I: Main Conference, 2021
Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2021
Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2021
2020
The Use of Inductive Methods to Identify Subtypes of Glioblastomas in Gene Clustering.
Proceedings of the 2nd International Workshop on Modern Machine Learning Technologies and Data Science (MoMLeT+DS 2020). Volume I: Main Conference, 2020
Modeling and Predicting the Organochlorine Pesticides Concentration in the Child's Body Based on their Accumulation in the Mother's Body.
Proceedings of the 2nd International Workshop on Modern Machine Learning Technologies and Data Science (MoMLeT+DS 2020). Volume I: Main Conference, 2020
Dynamic Bayesian Networks Application for Evaluating the Investment Projects Effectiveness.
Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2020
Application of Inductive Bayesian Hierarchical Clustering Algorithm to Identify Brain Tumors.
Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2020
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
Dynamic Bayesian Networks Application for Economy Competitiveness Situational Modelling.
Proceedings of the Advances in Intelligent Systems and Computing V, 2020
Proceedings of the Advances in Intelligent Systems and Computing V, 2020
Assessing the Possibility of a Country's Economic Growth Using Dynamic Bayesian Network Models.
Proceedings of the IEEE 15th International Conference on Computer Sciences and Information Technologies, 2020
Proceedings of the 4th International Conference on Computational Linguistics and Intelligent Systems (COLINS 2020). Volume I: Main Conference, 2020
Assessing the possibility of a country's economic growth using static bayesian network models.
Proceedings of The Third International Workshop on Computer Modeling and Intelligent Systems (CMIS-2020), 2020
Assessing Risk of Enterprise Bankruptcy by Indicators of Financial and Economic Activity Using Bayesian Networks.
Proceedings of the 1st International Workshop on Computational & Information Technologies for Risk-Informed Systems (CITRisk 2020) co-located with XX International scientific and technical conference on Information Technologies in Education and Management (ІТЕМ 2020), 2020
Analysis of the Effectiveness of an Investment Project Using Statistical Bayesian Networks.
Proceedings of the 10th International Conference on Advanced Computer Information Technologies, 2020
2019
Bayesian Networks' Development Based on Noisy-MAX Nodes for Modeling Investment Processes in Transport.
Proceedings of the Modern Machine Learning Technologies, 2019
Proceedings of the Modern Machine Learning Technologies, 2019
Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2019
Information Technologies for Environmental Monitoring of Plankton Algae Distribution Based on Satellite Image Data.
Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2019
Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2019
Hybrid Methods of GMDH-Neural Networks Synthesis and Training for Solving Problems of Time Series Forecasting.
Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2019
Protein Tertiary Structure Prediction with Hybrid Clonal Selection and Differential Evolution Algorithms.
Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2019
Using a Bayesian Network to Assess the Atmospheric Pollution Influence on Immunological Parameters.
Proceedings of the 2nd International Workshop on Informatics & Data-Driven Medicine (IDDM 2019), 2019
Application of a Combined Approach for Predicting a Peptide-Protein Binding Affinity Using Regulatory Regression Methods with Advance Reduction of Features.
Proceedings of the 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2019
Development of the Dynamic Bayesian Network to Evaluate the National Law Enforcement Agencies' Work.
Proceedings of the 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2019
Development, Validation and Testing of the Bayesian Network of Educational Institutions Financing.
Proceedings of the 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2019
Dynamic Bayesian Networks in the Problem of Localizing the Narcotic Substances Distribution.
Proceedings of the Advances in Intelligent Systems and Computing IV, 2019
The use of Bayesian methods in the task of localizing the narcotic substances distribution.
Proceedings of the 14th IEEE International Conference on Computer Sciences and Information Technologies, 2019
Proceedings of the Second International Workshop on Computer Modeling and Intelligent Systems (CMIS-2019), 2019
Inductive Technology of the Objective Cauterization of Enterprise's Economic Indicators of Ukraine.
Proceedings of the Second International Workshop on Computer Modeling and Intelligent Systems (CMIS-2019), 2019
Proceedings of the Second International Workshop on Computer Modeling and Intelligent Systems (CMIS-2019), 2019
Development, Validation and Testing of the Bayesian Network to Evaluate the National Law Enforcement Agencies' work.
Proceedings of the 9th International Conference on Advanced Computer Information Technologies, 2019
2018
Proceedings of the Second International Conference on Data Stream Mining & Processing, 2018
Information Technology of Gene Expression Profiles Processing for Purpose of Gene Regulatory Networks Reconstruction.
Proceedings of the Second International Conference on Data Stream Mining & Processing, 2018
Information Technology of Operative Formation and Evaluation of Relevant Alternatives of Decision-Making in Human-Machine Systems of Critical Application.
Proceedings of the Advances in Intelligent Systems and Computing III, 2018
Proceedings of the Advances in Intelligent Systems and Computing III, 2018
The Use of Inductive Methods for Determination of the Binding Affinity of Interacting Biological Molecules.
Proceedings of the Advances in Intelligent Systems and Computing III, 2018
2017
Proceedings of the 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2017