Volodymyr Lytvynenko

Orcid: 0000-0002-1536-5542

Affiliations:
  • Kherson National Technical University, Ukraine


According to our database1, Volodymyr Lytvynenko authored at least 51 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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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

Regression Modeling for Monitoring Organochlorine Pesticide Residues.
Proceedings of the Modern Machine Learning Technologies and Data Science Workshop (MoMLeT&DS 2023), 2023

Modeling of the Braille Font Elements Creation Process Using Regression Analysis.
Proceedings of the 4th International Workshop on Intelligent Information Technologies & Systems of Information Security, 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

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

Intelligent Information System for the Determination of Iron in Coagulants Based on a Neural Network.
Proceedings of the 2nd International Workshop on Intelligent Information Technologies & Systems of Information Security with CEUR-WS, 2021

Current State of the Problem of Gene Expression Data Processing and Extraction to Solve the Reverse Engineering Tasks in the Field of Bioinformatics.
Proceedings of the 2nd International Workshop on Intelligent Information Technologies & Systems of Information Security with CEUR-WS, 2021

An Object-Oriented Architecture of the Information System for Solving the Protein Folding Problem.
Proceedings of the 2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2021

Assessing Risk of Enterprise Bankruptcy by Indicators of Financial and Economic Activity Using Bayesian Networks.
Proceedings of the 2nd International Workshop on Computational & Information Technologies for Risk-Informed Systems (CITRisk 2021) co-located with XXI International Conference on Information Technologies in Education and Management (ITEM 2021), 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

Intelligent Modeling of Unified Communications Systems Using Artificial Neural Networks (short paper).
Proceedings of the 1st International Workshop on Intelligent Information Technologies & Systems of Information Security, 2020

Classification Technology Based on Hyperplanes for Visual Analytics with Implementations for Different Subject Areas.
Proceedings of the 1st International Workshop on Intelligent Information Technologies & Systems of Information Security, 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

Dynamic Bayesian Network Model of a Country's Economic Extension.
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

Comparative Study of Noisy-MAX Nodes and General Nodes in Bayesian Network Models.
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

Manipulating Function-Based Objects with Interactive Collision Risk Models.
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

Information Technology for Performance Assessment of Complex Multilevel Systems in Managing Technogenic Objects.
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
Diagnosis of Intermittently Faulty Units at System Level.
Data, 2019

Bayesian Networks' Development Based on Noisy-MAX Nodes for Modeling Investment Processes in Transport.
Proceedings of the Modern Machine Learning Technologies, 2019

Two Step Density-Based Object-Inductive Clustering Algorithm.
Proceedings of the Modern Machine Learning Technologies, 2019

Some Features of the Numerical Deconvolution of Mixed Molecular Spectra.
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

About Innovation-Investment Designing of Complex Systems by Inductive Technology of System Information-Analytical Research.
Proceedings of the 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 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

Evaluation of Testing Assignment for System Level Self-Diagnosis.
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

Hybrid Immune Algorithms in the Gene Regulatory Networks Reconstruction Problems.
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
Self-Diagnosis of the Systems with Intermittently Faulty Units.
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

Credibility of System Self-Checking When Tests are Performed Randomly.
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
Synthesis and learning of fuzzy neural networks for solving forecasting problems.
Proceedings of the 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2017

Implementation of the objective clustering inductive technology based on DBSCAN clustering algorithm.
Proceedings of the 2017 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), Lviv, Ukraine, September 5-8, 2017, 2017

Gene expression sequences clustering based on the internal and external clustering quality criteria.
Proceedings of the 2017 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), Lviv, Ukraine, September 5-8, 2017, 2017

Objective Clustering Inductive Technology of Gene Expression Sequences Features.
Proceedings of the Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation, 2017

2016
Evaluation of testing assignment for system level self-diagnosis.
Proceedings of the First International Conference on Data Stream Mining & Processing, 2016

Inductive model of data clustering based on the agglomerative hierarchical algorithm.
Proceedings of the First International Conference on Data Stream Mining & Processing, 2016


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