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Irina Kalinina
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2020 – today
- 2024
- [j1]Sergii Babichev
, Igor Liakh, Irina Kalinina
Applying the Deep Learning Techniques to Solve Classification Tasks Using Gene Expression Data. IEEE Access 12: 28437-28448 (2024) - [c43]Irina Kalinina, Aleksandr Gozhyj:
Forecasting electricity demand in Ukraine using machine learning methods. CIAW 2024: 42-56 - [c42]Aleksandr Gozhyj, Irina Kalinina, Valerii Dymo:
Application of convolutional neural networks for detection of damaged buildings. MoMLeT 2024: 15-27 - [c41]Alexander Gozhyj, Vladyslav Nechakhin, Irina Kalinina:
Enhancing solar panel efficiency with LSTM-based MPPT controllers. MoMLeT 2024: 246-258 - 2023
- [c40]Aleksandr Gozhyj, Irina Kalinina, Sergii Shiyan, Vladyslav Nechakhin:
Building a Fuel Measurement System Model based on Colored Petri Nets. CSIT 2023: 1-4 - [c39]Vladyslav Nechakhin, Irina Kalinina, Aleksandr Gozhyj:
Hyperparameter Optimization of LSTM MPPT Controller for Solar Power Plants. CSIT 2023: 1-4 - [c38]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 - [c37]Irina Kalinina, Peter Bidyuk, Aleksandr Gozhyj, Pavlo Malchenko:
Combining Forecasts Based on Time Series Models in Machine Learning Tasks. MoMLeT+DS 2023: 25-35 - 2022
- [c36]Irina Kalinina, Peter Bidyuk, Aleksandr Gozhyj:
Construction of Forecast Models based on Bayesian Structural Time Series. CSIT 2022: 180-184 - [c35]Irina Kalinina, Aleksandr Gozhyj, Victor Gozhyi:
Modeling a Pharmaceutical Web-Service Using Colored Petri Nets. CSIT 2022: 345-348 - [c34]Irina Kalinina
Methodology for Solving Forecasting Problems Based on Machine Learning Methods. ISDMCI 2022: 105-125 - [c33]Yoshio Matsuki
Method to Find the Original Source of COVID-19 by Genome Sequence and Probability of Electron Capture. ISDMCI 2022: 214-230 - [c32]Oleksiy Tverdokhlib, Denis Shavaev, Yurii Matseliukh, Aleksandr Gozhyj, Anna Maria Trzaskowska, Maksym Korobchynskyi, Lyubomyr Chyrun, Irina Kalinina:
Analysis Method for Determining the Suitability of Water for Human Consumption. MoMLeT+DS 2022: 388-411 - 2021
- [c31]Denys Aksonov, Aleksandr Gozhyj, Irina Kalinina, Victoria Vysotska:
Question-Answering Systems Development Based on Big Data Analysis. CSIT (1) 2021: 113-118 - [c30]Aleksandr Gozhyj, Irina Kalinina, Vladyslav Nechakhin, Victor Gozhyj, Victoria Vysotska
Modeling an Intelligent Solar Power Plant Control System Using Colored Petri Nets. IDAACS 2021: 626-631 - [c29]Oleksandr Trofymchuk
Financial Risk Estimation in Conditions of Stochastic Uncertainties. ISDMCI 2021: 3-24 - [c28]Peter Bidyuk
An Approach to Identifying and Filling Data Gaps in Machine Learning Procedures. ISDMCI 2021: 164-176 - [c27]Marina Kholod, Yury Lyandau, Valery V. Maslennikov, Irina Kalinina, Ekaterina Borovik:
Foundations for Model Building of Intelligent Pricing Methodology. KES-IDT 2021: 639-647 - 2020
- [c26]Peter Bidyuk, Olexander Trofymchuk, Irina Kalinina, Aleksandr Gozhyj:
Modeling Risk Factor Interaction Using Copula Functions. CITRisk 2020: 87-101 - [c25]Bohdan Rusyn, Liubomyr Pohreliuk, Oleg Kapshii, Jarema Varetskyy, Andriy Demchuk, Ihor Karpov, Aleksandr Gozhyj, Victor Gozhyj, Irina Kalinina:
An Intelligent System for Commercial of Information Products Distribution Based SEO and Sitecore CMS. COLINS 2020: 760-777 - [c24]Oleg Garasym, Liliya Chyrun, Nadija Chernovol, Aleksandr Gozhyj, Victor Gozhyj, Irina Kalinina, Bohdan Rusyn, Liubomyr Pohreliuk, Maksym Korobchynskyi:
Network Security Analysis Based on Consolidated Threat Resources. COLINS 2020: 1004-1018 - [c23]Vasyl Andrunyk, Andrii Vasevych, Liliya Chyrun, Nadija Chernovol, Nataliya Antonyuk, Aleksandr Gozhyj, Victor Gozhyj, Irina Kalinina, Maksym Korobchynskyi:
Development of Information System for Aggregation and Ranking of News Taking into Account the User Needs. COLINS 2020: 1127-1171 - [c22]Aleksandr Gozhyj, Vladyslav Nechakhin, Irina Kalinina:
Solar Power Control System based on Machine Learning Methods. CSIT (1) 2020: 24-27 - [c21]Aleksandr Gozhyj
Hybrid Power Plant Control System Based on Machine Learning Methods. CSIT 2020: 251-262 - [c20]Peter Bidyuk, Aleksandr Gozhyj, Irina Kalinina, Victoria Vysotska, Mikhail Vasilev, Romanna Malets:
Forecasting Nonlinear Nonstationary Processes in Machine Learning Task. DSMP 2020: 28-32 - [c19]Peter Bidyuk
Methods for Forecasting Nonlinear Non-stationary Processes in Machine Learning. DSMP (Selected Papers) 2020: 470-485 - [c18]Aleksandr Gozhyj
Approach for Modeling Search Web-Services Based on Color Petri Nets. DSMP (Selected Papers) 2020: 525-538 - [c17]Aleksandr Gozhyj, Irina Kalinina, Victoria Vysotska, Svitlana Sachenko, Roman Kovalchuk:
Qualitative and Quantitative Characteristics Analysis for Information Security Risk Assessment in E-Commerce Systems. ICTES 2020: 177-190 - [c16]Peter Bidyuk, Irina Kalinina, Aleksandr Gozhyj:
Methodology of Constructing Statistical Models for Nonlinear Non-stationary Processes in Medical Diagnostic Systems. IDDM 2020: 36-45 - [c15]Liliya Chyrun, Petro Kravets, Oleg Garasym, Aleksandr Gozhyj, Irina Kalinina:
Cryptographic Information Protection Algorithm Selection Optimization for Electronic Governance IT Project Management by the Analytic Hierarchy Process Based on Nonlinear Conclusion Criteria. ITPM 2020: 205-220
2010 – 2019
- 2019
- [c14]Peter Bidyuk, Volodymyr Beglytsia, Aleksandr Gozhyj, Irina Kalinina:
Using the Metropolis-Hastings algorithm in Bayesian data analysis procedures. CSIT (2) 2019: 98-101 - [c13]Peter Bidyuk
Features of Application of Monte Carlo Method with Markov Chain Algorithms in Bayesian Data Analysis. CSIT 2019: 361-376 - [c12]Vasyl Lytvyn, Aleksandr Gozhyj, Irina Kalinina, Victoria Vysotska, Viktor Shatskykh, Lyubomyr Chyrun, Yuriy Borzov:
An Intelligent System of the Content Relevance at the Example of Films According to User Needs. ICTES 2019: 1-23 - [c11]Andriy Demchuk, Bohdan Rusyn, Liubomyr Pohreliuk, Aleksandr Gozhyj, Irina Kalinina, Lyubomyr Chyrun, Nataliya Antonyuk:
Commercial Content Distribution System Based on Neural Network and Machine Learning. ICTES 2019: 40-57 - [c10]Aleksandr Gozhyj, Irina Kalinina, Victor Gozhyj, Victoria Vysotska
Web Service Interaction Modeling with Colored Petri Nets. IDAACS 2019: 319-323 - [c9]Nataliya Antonyuk, Lyubomyr Chyrun, Vasyl Andrunyk, Andrii Vasevych, Sofia Chyrun, Aleksandr Gozhyj, Irina Kalinina, Yuriy Borzov:
Medical News Aggregation and Ranking of Taking into Account the User Needs. IDDM 2019: 369-382 - [c8]Peter Bidyuk
Probabilistic Inference Based on LS-Method Modifications in Decision Making Problems. ISDMCI 2019: 422-433 - [c7]Marina Kholod, Yury Lyandau, Valery V. Maslennikov
Upper Level Processes and Projects Model Building. KES-IDT (2) 2019: 267-276 - 2018
- [c6]Aleksandr Gozhyj, Victoria Vysotska
Web Resources Management Method Based on Intelligent Technologies. CSIT 2018: 206-221 - [c5]Aleksandr Gozhyj, Irina Kalinina, Victoria Vysotska
The Method of Web-Resources Management Under Conditions of Uncertainty Based on Fuzzy Logic. CSIT (1) 2018: 343-346 - [c4]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
- [c3]Petro Bidyuk, Aleksandr Gozhyj, Irina Kalinina, Victor Gozhyj:
Methods for processing uncertainties in in solving dynamic planning problems. CSIT (1) 2017: 151-155 - [c2]Aleksandr Gozhyj, Irina Kalinina, Victor Gozhyj:
Fuzzy cognitive analysis and modeling of water quality. IDAACS 2017: 289-293 - [c1]Irina Kalinina
Managerial Decisions Modelling for the Company Development Strategy. KES-IDT (1) 2017: 309-320
Coauthor Index
aka: Peter Bidyuk
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