Petro Bidyuk

According to our database, Petro Bidyuk authored at least 29 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Combining Forecasts Based on Time Series Models in Machine Learning Tasks.

Irina Kalinina, Peter Bidyuk, Aleksandr Gozhyj, Pavlo Malchenko

Proceedings of the Modern Machine Learning Technologies and Data Science Workshop (MoMLeT&DS 2023), 2023

Classification System Based on Ensemble Methods for Solving Machine Learning Tasks.

Peter Bidyuk, Irina Kalinina, Oleksandr Zhebko, Aleksandr Gozhyj, Tetiana Hannichenko

Proceedings of the Modern Machine Learning Technologies and Data Science Workshop (MoMLeT&DS 2023), 2023

2022

Method to Find the Original Source of COVID-19 by Genome Sequence and Probability of Electron Capture.

Yoshio Matsuki, Aleksandr Gozhyj, Irina Kalinina, Peter Bidyuk

Proceedings of the Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making, 2022

Construction of Forecast Models based on Bayesian Structural Time Series.

Irina Kalinina, Peter Bidyuk, Aleksandr Gozhyj

Proceedings of the 17th IEEE International Conference on Computer Sciences and Information Technologies, 2022

2021

Machine Learning Techniques for Fault-tolerance Analysis and Forecasting.

Nataliia Kuznietsova, Petro Bidyuk, Maryna Kuznietsova, Jules Lepretre

Proceedings of the Selected Papers of the XXI International Scientific and Practical Conference "Information Technologies and Security" (ITS 2021), 2021

Financial Risk Estimation in Conditions of Stochastic Uncertainties.

Oleksandr Trofymchuk, Peter Bidyuk, Irina Kalinina, Aleksandr Gozhyj

Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2021

Data Mining Methods, Models and Solutions for Big Data Cases in Telecommunication Industry.

Nataliia Kuznietsova, Peter Bidyuk, Maryna Kuznietsova

Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2021

An Approach to Identifying and Filling Data Gaps in Machine Learning Procedures.

Peter Bidyuk, Irina Kalinina, Aleksandr Gozhyj

Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2021

Data Mining Methods for Evaluation and Forecasting the Mobile Internet Traffic in Roaming.

Nataliia Kuznietsova, Petro Bidyuk, Anastasiia Kulinich

Proceedings of The Fourth International Workshop on Computer Modeling and Intelligent Systems (CMIS-2021), 2021

2020

Adaptive Workload Forecasting in Cloud Data Centers.

Eduard Zharikov, Sergii Telenyk, Peter Bidyuk

J. Grid Comput., 2020

Adaptive Approach to Building Risk Models of Financial Systems.

Nataliia Kuznietsova, Petro Bidyuk

Proceedings of the Selected Papers of the XX International Scientific and Practical Conference "Information Technologies and Security" (ITS 2020), 2020

Modeling and Forecasting Economic and Financial Processes Using Combined Adaptive Models.

Peter Bidyuk, Aleksandr Gozhyj, Yoshio Matsuki, Nataliia Kuznietsova

Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2020

Methodology of Constructing Statistical Models for Nonlinear Non-stationary Processes in Medical Diagnostic Systems.

Peter Bidyuk, Irina Kalinina, Aleksandr Gozhyj

Proceedings of the 3rd International Conference on Informatics & Data-Driven Medicine, Växjö, Sweden, November 19, 2020

Multivariate Distribution Model for Financial Risks Management.

Józef Korbicz, Petro Bidyuk, Nataliia Kuznietsova, Arsenii Kroptya, Oleksandr Terentiev, Tetyana Prosiankina-Zharova

Proceedings of the 9th International Conference "Information Control Systems & Technologies", 2020

Heteroskedasticity Models for Financial Processes Modelling and Forecasting.

Nataliia Kuznietsova, Petro Bidyuk

Proceedings of the IEEE Third International Conference on Data Stream Mining, Processing, 2020

Intelligence Information Technologies for Financial Data Processing in Risk Management.

Nataliia Kuznietsova, Peter Bidyuk

DSMP (Selected Papers), 2020

Modeling and Forecasting Financial Heteroscedastic Processes.

Vira Huskova, Petro Bidyuk

Proceedings of the IEEE Third International Conference on Data Stream Mining, Processing, 2020

Forecasting Nonlinear Nonstationary Processes in Machine Learning Task.

Peter Bidyuk, Aleksandr Gozhyj, Irina Kalinina, Victoria Vysotska, Mikhail Vasilev, Romanna Malets

Proceedings of the IEEE Third International Conference on Data Stream Mining, Processing, 2020

Methods for Forecasting Nonlinear Non-stationary Processes in Machine Learning.

Peter Bidyuk, Aleksandr Gozhyj, Irina Kalinina, Victoria Vysotska

DSMP (Selected Papers), 2020

Hybrid Power Plant Control System Based on Machine Learning Methods.

Aleksandr Gozhyj, Peter Bidyuk, Yoshio Matsuki, Vladyslav Nechakhin, Irina Kalinina, Oleg Shchesiuk

Proceedings of the Advances in Intelligent Systems and Computing V, 2020

Decision support system for microclimate control at large industrial enterprises.

Nataliya D. Pankratova, Petro Bidyuk, Igor Golinko

Proceedings of The Third International Workshop on Computer Modeling and Intelligent Systems (CMIS-2020), 2020

Modeling Risk Factor Interaction Using Copula Functions.

Peter Bidyuk, Olexander Trofymchuk, Irina Kalinina, Aleksandr Gozhyj

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

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

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

2019

Probabilistic Inference Based on LS-Method Modifications in Decision Making Problems.

Peter Bidyuk, Aleksandr Gozhyj, Irina Kalinina

Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2019

Method of Assessing the State of Monuments based on Fuzzy Logic.

Sergii Telenyk, Krzysztof Czajkowski, Petro Bidiuk, Eduard Zharikov

Proceedings of the 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2019

Features of Application of Monte Carlo Method with Markov Chain Algorithms in Bayesian Data Analysis.

Peter Bidyuk, Yoshio Matsuki, Aleksandr Gozhyj, Volodymyr Beglytsia, Irina Kalinina

Proceedings of the Advances in Intelligent Systems and Computing IV, 2019

Using the Metropolis-Hastings algorithm in Bayesian data analysis procedures.

Peter Bidyuk, Volodymyr Beglytsia, Aleksandr Gozhyj, Irina Kalinina

Proceedings of the 14th IEEE International Conference on Computer Sciences and Information Technologies, 2019

2018

The Methods Bayesian Analysis of the Threshold Stochastic Volatility Model.

Peter Bidyuk, Aleksandr Gozhyj, Zdislaw Szymanski, Irina Kalinina, Volodymyr Beglytsia

Proceedings of the Second International Conference on Data Stream Mining & Processing, 2018

2017

Methods for processing uncertainties in in solving dynamic planning problems.

Petro Bidyuk, Aleksandr Gozhyj, Irina Kalinina, Victor Gozhyj

Proceedings of the 2017 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), Lviv, Ukraine, September 5-8, 2017, 2017