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2020 – today
- 2024
[c29]Oleksandr Fomin, Sergii Polozhaenko, Petro Bidyuk, Oleksii Tataryn, Andrii Prokofiev:
Improving measurements accuracy in weight-in-motion systems using dynamic neural networks. ICST 2024: 483-493- 2023
- [c28]Peter Bidyuk, Irina Kalinina, Oleksandr Zhebko, Aleksandr Gozhyj, Tetiana Hannichenko:
Classification System Based on Ensemble Methods for Solving Machine Learning Tasks. MoMLeT+DS 2023: 1-11 - [c27]Irina Kalinina, Peter Bidyuk, Aleksandr Gozhyj, Pavlo Malchenko:
Combining Forecasts Based on Time Series Models in Machine Learning Tasks. MoMLeT+DS 2023: 25-35 - [e3]Peter Bidyuk, Yevgeniy V. Bodyanskiy, Sándor Bozóki, Leonid Hulianytskyi, Roth Hubert, Stan Lipovetsky, Mykola Malyar, Krassimir Markov, Nataliya D. Pankratova, Ivan Sergienko, Vitaliy Snytyuk, Mariya A. Sodenkamp, Yurii Stoyan, Vitaliy V. Tsyganok, Oleksii Voloshyn, Vladimir Vovk, Sergey Yakovlev, Yuriy P. Zaychenko, Michael Zgurovsky:
Selected Papers of the III International Scientific Symposium "Intelligent Solutions" (IntSol-2023). Symposium Proceedings Kyiv - Uzhhorod, Ukraine, September 27-28, 2023., Kyiv - Uzhhorod, Ukraine, September 27-28, 2023. CEUR Workshop Proceedings 3538, CEUR-WS.org 2023 [contents] - 2022
- [c26]Irina Kalinina, Peter Bidyuk, Aleksandr Gozhyj:
Construction of Forecast Models based on Bayesian Structural Time Series. CSIT 2022: 180-184 - [c25]Yoshio Matsuki
, Aleksandr Gozhyj, Irina Kalinina, Peter Bidyuk:
Method to Find the Original Source of COVID-19 by Genome Sequence and Probability of Electron Capture. ISDMCI 2022: 214-230 - [e2]Peter Bidyuk, Yevgeniy V. Bodyanskiy, Sándor Bozóki, Leonid Hulianytskyi, Hubert Roth, Stan Lipovetsky, Mykola Malyar, Krassimir Markov, Nataliya D. Pankratova, Ivan Sergienko, Vitaliy Snytyuk, Mariya A. Sodenkamp, Yurii Stoyan, Vitaliy V. Tsyganok, Oleksii Voloshyn, Vladimir Vovk, Sergey Yakovlev, Yuriy P. Zaychenko, Michael Zgurovsky:
Selected Papers of the II International Scientific Symposium "Intelligent Solutions" (IntSol-2021). Workshop Proceedings, Kyiv - Uzhhorod, Ukraine, September 28-30, 2021. CEUR Workshop Proceedings 3106, CEUR-WS.org 2022 [contents] - 2021
- [c24]Nataliia Kuznietsova, Petro Bidyuk, Anastasiia Kulinich:
Data Mining Methods for Evaluation and Forecasting the Mobile Internet Traffic in Roaming. CMIS 2021: 73-86 - [c23]Oleksandr Trofymchuk, Peter Bidyuk, Irina Kalinina, Aleksandr Gozhyj:
Financial Risk Estimation in Conditions of Stochastic Uncertainties. ISDMCI 2021: 3-24 - [c22]Nataliia Kuznietsova, Peter Bidyuk, Maryna Kuznietsova:
Data Mining Methods, Models and Solutions for Big Data Cases in Telecommunication Industry. ISDMCI 2021: 107-127 - [c21]Peter Bidyuk, Irina Kalinina, Aleksandr Gozhyj:
An Approach to Identifying and Filling Data Gaps in Machine Learning Procedures. ISDMCI 2021: 164-176 - [c20]Nataliia Kuznietsova, Petro Bidyuk, Maryna Kuznietsova, Jules Lepretre:
Machine Learning Techniques for Fault-tolerance Analysis and Forecasting. ITS 2021: 56-68 - [e1]Peter Bidyuk, Yevgeniy V. Bodyanskiy, Sándor Bozóki, Leonid Hulianytskyi, Hubert Roth, Stan Lipovetsky, Mykola Malyar, Krassimir Markov, Nataliya D. Pankratova, Ivan Sergienko, Vitaliy Snytyuk, Mariya A. Sodenkamp, Yurii Stoyan, Vitaliy V. Tsyganok, Oleksii Voloshyn, Vladimir Vovk, Sergey Yakovlev, Yuriy P. Zaychenko, Michael Zgurovsky:
Proceedings of the II International Scientific Symposium "Intelligent Solutions" (IntSol-2021), Kyiv-Uzhhorod, Ukraine, September 28-30, 2021. CEUR Workshop Proceedings 3018, CEUR-WS.org 2021 [contents] - 2020
- [j1]Eduard Zharikov, Sergii Telenyk, Peter Bidyuk:
Adaptive Workload Forecasting in Cloud Data Centers. J. Grid Comput. 18(1): 149-168 (2020) - [c19]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: 59-73 - [c18]Peter Bidyuk, Olexander Trofymchuk, Irina Kalinina, Aleksandr Gozhyj:
Modeling Risk Factor Interaction Using Copula Functions. CITRisk 2020: 87-101 - [c17]Nataliya D. Pankratova, Petro Bidyuk, Igor Golinko:
Decision support system for microclimate control at large industrial enterprises. CMIS 2020: 489-498 - [c16]Aleksandr Gozhyj, Peter Bidyuk, Yoshio Matsuki, Vladyslav Nechakhin, Irina Kalinina, Oleg Shchesiuk:
Hybrid Power Plant Control System Based on Machine Learning Methods. CSIT 2020: 251-262 - [c15]Peter Bidyuk, Aleksandr Gozhyj, Irina Kalinina, Victoria Vysotska, Mikhail Vasilev, Romanna Malets:
Forecasting Nonlinear Nonstationary Processes in Machine Learning Task. DSMP 2020: 28-32 - [c14]Nataliia Kuznietsova, Petro Bidyuk:
Heteroskedasticity Models for Financial Processes Modelling and Forecasting. DSMP 2020: 310-315 - [c13]Vira Huskova, Petro Bidyuk:
Modeling and Forecasting Financial Heteroscedastic Processes. DSMP 2020: 329-332 - [c12]Peter Bidyuk, Aleksandr Gozhyj, Irina Kalinina, Victoria Vysotska:
Methods for Forecasting Nonlinear Non-stationary Processes in Machine Learning. DSMP (Selected Papers) 2020: 470-485 - [c11]Nataliia Kuznietsova, Peter Bidyuk:
Intelligence Information Technologies for Financial Data Processing in Risk Management. DSMP (Selected Papers) 2020: 539-558 - [c10]Józef Korbicz, Petro Bidyuk, Nataliia Kuznietsova, Arsenii Kroptya, Oleksandr Terentiev, Tetyana Prosiankina-Zharova:
Multivariate Distribution Model for Financial Risks Management. ICST 2020: 416-429 - [c9]Peter Bidyuk, Irina Kalinina, Aleksandr Gozhyj:
Methodology of Constructing Statistical Models for Nonlinear Non-stationary Processes in Medical Diagnostic Systems. IDDM 2020: 36-45 - [c8]Peter Bidyuk, Aleksandr Gozhyj, Yoshio Matsuki, Nataliia Kuznietsova:
Modeling and Forecasting Economic and Financial Processes Using Combined Adaptive Models. ISDMCI 2020: 395-408 - [c7]Nataliia Kuznietsova, Petro Bidyuk:
Adaptive Approach to Building Risk Models of Financial Systems. ITS 2020: 85-98
2010 – 2019
- 2019
- [c6]Peter Bidyuk, Volodymyr Beglytsia, Aleksandr Gozhyj, Irina Kalinina:
Using the Metropolis-Hastings algorithm in Bayesian data analysis procedures. CSIT (2) 2019: 98-101 - [c5]Peter Bidyuk, Yoshio Matsuki, Aleksandr Gozhyj, Volodymyr Beglytsia, Irina Kalinina:
Features of Application of Monte Carlo Method with Markov Chain Algorithms in Bayesian Data Analysis. CSIT 2019: 361-376 - [c4]Sergii Telenyk, Krzysztof Czajkowski, Petro Bidiuk, Eduard Zharikov:
Method of Assessing the State of Monuments based on Fuzzy Logic. IDAACS 2019: 500-506 - [c3]Peter Bidyuk, Aleksandr Gozhyj, Irina Kalinina:
Probabilistic Inference Based on LS-Method Modifications in Decision Making Problems. ISDMCI 2019: 422-433 - 2018
- [c2]Peter Bidyuk, Aleksandr Gozhyj, Zdislaw Szymanski, Irina Kalinina, Volodymyr Beglytsia:
The Methods Bayesian Analysis of the Threshold Stochastic Volatility Model. DSMP 2018: 70-74 - 2017
- [c1]Petro Bidyuk, Aleksandr Gozhyj, Irina Kalinina, Victor Gozhyj:
Methods for processing uncertainties in in solving dynamic planning problems. CSIT (1) 2017: 151-155
Coauthor Index
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last updated on 2024-10-25 21:19 CEST by the dblp team
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