Irina Kalinina

According to our database, Irina Kalinina authored at least 44 papers between 2017 and 2024.

Collaborative distances:

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

2024

Applying the Deep Learning Techniques to Solve Classification Tasks Using Gene Expression Data.

Sergii Babichev, Igor Liakh, Irina Kalinina

IEEE Access, 2024

Enhancing solar panel efficiency with LSTM-based MPPT controllers.

Alexander Gozhyj, Vladyslav Nechakhin, Irina Kalinina

Proceedings of the Modern Machine Learning Technologies Workshop (MoMLeT 2024), 2024

Application of convolutional neural networks for detection of damaged buildings.

Aleksandr Gozhyj, Irina Kalinina, Valerii Dymo

Proceedings of the Modern Machine Learning Technologies Workshop (MoMLeT 2024), 2024

Forecasting electricity demand in Ukraine using machine learning methods.

Irina Kalinina, Aleksandr Gozhyj

Proceedings of the Computational Intelligence Application Workshop (CIAW 2024), 2024

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

Hyperparameter Optimization of LSTM MPPT Controller for Solar Power Plants.

Vladyslav Nechakhin, Irina Kalinina, Aleksandr Gozhyj

Proceedings of the 18th IEEE International Conference on Computer Science and Information Technologies, 2023

Building a Fuel Measurement System Model based on Colored Petri Nets.

Aleksandr Gozhyj, Irina Kalinina, Sergii Shiyan, Vladyslav Nechakhin

Proceedings of the 18th IEEE International Conference on Computer Science and Information Technologies, 2023

2022

Analysis Method for Determining the Suitability of Water for Human Consumption.

Oleksiy Tverdokhlib, Denis Shavaev, Yurii Matseliukh, Aleksandr Gozhyj, Anna Maria Trzaskowska, Maksym Korobchynskyi, Lyubomyr Chyrun, Irina Kalinina

Proceedings of the Modern Machine Learning Technologies and Data Science Workshop MoMLeT&DS 2022, 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

Methodology for Solving Forecasting Problems Based on Machine Learning Methods.

Irina Kalinina, Aleksandr Gozhyj

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

Modeling a Pharmaceutical Web-Service Using Colored Petri Nets.

Irina Kalinina, Aleksandr Gozhyj, Victor Gozhyi

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

Foundations for Model Building of Intelligent Pricing Methodology.

Marina Kholod, Yury Lyandau, Valery V. Maslennikov, Irina Kalinina, Ekaterina Borovik

Proceedings of the Intelligent Decision Technologies, 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

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

Modeling an Intelligent Solar Power Plant Control System Using Colored Petri Nets.

Aleksandr Gozhyj, Irina Kalinina, Vladyslav Nechakhin, Victor Gozhyj, Victoria Vysotska

Proceedings of the 2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2021

Question-Answering Systems Development Based on Big Data Analysis.

Denys Aksonov, Aleksandr Gozhyj, Irina Kalinina, Victoria Vysotska

Proceedings of the IEEE 16th International Conference on Computer Sciences and Information Technologies, 2021

2020

Cryptographic Information Protection Algorithm Selection Optimization for Electronic Governance IT Project Management by the Analytic Hierarchy Process Based on Nonlinear Conclusion Criteria.

Liliya Chyrun, Petro Kravets, Oleg Garasym, Aleksandr Gozhyj, Irina Kalinina

Proceedings of the 1st International Workshop IT Project Management (ITPM 2020), 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

Qualitative and Quantitative Characteristics Analysis for Information Security Risk Assessment in E-Commerce Systems.

Aleksandr Gozhyj, Irina Kalinina, Victoria Vysotska, Svitlana Sachenko, Roman Kovalchuk

Proceedings of the 2nd International Workshop on Information-Communication Technologies & Embedded Systems (ICTES 2020) Mykolaiv, 2020

Approach for Modeling Search Web-Services Based on Color Petri Nets.

Aleksandr Gozhyj, Irina Kalinina, Victor Gozhyj, Valeriy Danilov

DSMP (Selected Papers), 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

Solar Power Control System based on Machine Learning Methods.

Aleksandr Gozhyj, Vladyslav Nechakhin, Irina Kalinina

Proceedings of the IEEE 15th International Conference on Computer Sciences and Information Technologies, 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

An Intelligent System for Commercial of Information Products Distribution Based SEO and Sitecore CMS.

Bohdan Rusyn, Liubomyr Pohreliuk, Oleg Kapshii, Jarema Varetskyy, Andriy Demchuk, Ihor Karpov, Aleksandr Gozhyj, Victor Gozhyj, Irina Kalinina

Proceedings of the 4th International Conference on Computational Linguistics and Intelligent Systems (COLINS 2020). Volume I: Main Conference, 2020

Network Security Analysis Based on Consolidated Threat Resources.

Oleg Garasym, Liliya Chyrun, Nadija Chernovol, Aleksandr Gozhyj, Victor Gozhyj, Irina Kalinina, Bohdan Rusyn, Liubomyr Pohreliuk, Maksym Korobchynskyi

Proceedings of the 4th International Conference on Computational Linguistics and Intelligent Systems (COLINS 2020). Volume I: Main Conference, 2020

Development of Information System for Aggregation and Ranking of News Taking into Account the User Needs.

Vasyl Andrunyk, Andrii Vasevych, Liliya Chyrun, Nadija Chernovol, Nataliya Antonyuk, Aleksandr Gozhyj, Victor Gozhyj, Irina Kalinina, Maksym Korobchynskyi

Proceedings of the 4th International Conference on Computational Linguistics and Intelligent Systems (COLINS 2020). Volume I: Main Conference, 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

2019

Upper Level Processes and Projects Model Building.

Marina Kholod, Yury Lyandau, Valery V. Maslennikov, Irina Kalinina, Nikolay Mrochkovskiy

Proceedings of the Intelligent Decision Technologies 2019, 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

Medical News Aggregation and Ranking of Taking into Account the User Needs.

Nataliya Antonyuk, Lyubomyr Chyrun, Vasyl Andrunyk, Andrii Vasevych, Sofia Chyrun, Aleksandr Gozhyj, Irina Kalinina, Yuriy Borzov

Proceedings of the 2nd International Workshop on Informatics & Data-Driven Medicine (IDDM 2019), 2019

Web Service Interaction Modeling with Colored Petri Nets.

Aleksandr Gozhyj, Irina Kalinina, Victor Gozhyj, Victoria Vysotska

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

An Intelligent System of the Content Relevance at the Example of Films According to User Needs.

Vasyl Lytvyn, Aleksandr Gozhyj, Irina Kalinina, Victoria Vysotska, Viktor Shatskykh, Lyubomyr Chyrun, Yuriy Borzov

Proceedings of the 1st International Workshop on Information-Communication Technologies & Embedded Systems (ICTES 2019), 2019

Commercial Content Distribution System Based on Neural Network and Machine Learning.

Andriy Demchuk, Bohdan Rusyn, Liubomyr Pohreliuk, Aleksandr Gozhyj, Irina Kalinina, Lyubomyr Chyrun, Nataliya Antonyuk

Proceedings of the 1st International Workshop on Information-Communication Technologies & Embedded Systems (ICTES 2019), 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

Web Resources Management Method Based on Intelligent Technologies.

Aleksandr Gozhyj, Victoria Vysotska, Iryna Yevseyeva, Irina Kalinina, Victor Gozhyj

Proceedings of the Advances in Intelligent Systems and Computing III, 2018

The Method of Web-Resources Management Under Conditions of Uncertainty Based on Fuzzy Logic.

Aleksandr Gozhyj, Irina Kalinina, Victoria Vysotska, Victor Gozhyj

Proceedings of the Advances in Intelligent Systems and Computing III, 2018

2017

Managerial Decisions Modelling for the Company Development Strategy.

Irina Kalinina, Valery V. Maslennikov, Marina Kholod

Proceedings of the Intelligent Decision Technologies 2017 - Proceedings of the 9th KES International Conference on Intelligent Decision Technologies (KES-IDT 2017), 2017

Fuzzy cognitive analysis and modeling of water quality.

Aleksandr Gozhyj, Irina Kalinina, Victor Gozhyj

Proceedings of the 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 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