Andriy Matviychuk

According to our database, Andriy Matviychuk authored at least 15 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of six.

2025

Interpretable Machine Learning using Visibility Graph and Random Forests.

Andrii Bielinskyi, Vladimir N. Soloviev, Andriy Matviychuk, Halyna Velykoivanenko

Proceedings of the Information Technology and Implementation (IT&I) Workshop: Artificial Intelligence Technologies and Data Science (IT&I-WS: AITDS 2025), Kyiv, Ukraine, November 20, 2025

Capturing Bitcoin Market Dynamics: Assessing Advanced Permutation Entropy Metrics as Early-Warning Indicators.

Andrii Bielinskyi, Vladimir N. Soloviev, Andriy Matviychuk, Tetiana Kmytiuk

Proceedings of The Eighth International Workshop on Computer Modeling and Intelligent Systems, 2025

2024

Leveraging Artificial Intelligence and Large Language Models for Fake Content Detection in Digital Media.

Andriy Matviychuk, Vasily Derbentsev, Vitalii Bezkorovainyi, Tetiana Kmytiuk, Oleksii Hostryk

Proceedings of the Information Technology and Implementation (IT&I) Workshop: Intelligent Systems and Security (IT&I-WS 2024: ISS), Kyiv, Ukraine, November 20, 2024

Modeling and Identifying States of Irreversibility in Energy-Related Markets.

Andrii Bielinskyi, Vladimir N. Soloviev, Andriy Matviychuk, Victoria Solovieva, Tetiana Kmytiuk, Halyna Velykoivanenko, Andrii Tuzhykov

Proceedings of the Information Technology for Education, Science, and Technics, 2024

2023

Stock Market Crashes as Phase Transitions.

Andrii Bielinskyi, Vladimir N. Soloviev, Victoria Solovieva, Andriy Matviychuk, Serhii V. Hushko, Halyna Velykoivanenko

Proceedings of the Information and Communication Technologies in Education, Research, and Industrial Applications, 2023

2022

University competitiveness in the knowledge economy: a Kohonen map approach.

Dmytro H. Lukianenko, Andriy V. Matviychuk, Liubov I. Lukianenko, Iryna V. Dvornyk

Proceedings of the Selected and Revised Papers of 10th International Conference on Monitoring, 2022

A comparative study of deep learning models for sentiment analysis of social media texts.

Vasily D. Derbentsev, Vitalii S. Bezkorovainyi, Andriy V. Matviychuk, Oksana M. Pomazun, Andrii V. Hrabariev, Alexey M. Hostryk

Proceedings of the Selected and Revised Papers of 10th International Conference on Monitoring, 2022

High-order network analysis for financial crash identification.

Andrii O. Bielinskyi, Vladimir N. Soloviev, Serhii V. Hushko, Arnold E. Kiv, Andriy V. Matviychuk

Proceedings of the Selected and Revised Papers of 10th International Conference on Monitoring, 2022

The Analysis of Multifractal Cross-Correlation Connectedness Between Bitcoin and the Stock Market.

Andrii Bielinskyi, Vladimir N. Soloviev, Victoria Solovieva, Andriy Matviychuk, Serhiy Semerikov

Proceedings of the Information Technology for Education, Science, and Technics, 2022

2021

Machine learning for prediction of emergent economy dynamics III.

Arnold E. Kiv, Vladimir N. Soloviev, Serhiy O. Semerikov, Hanna B. Danylchuk, Liubov O. Kibalnyk, Andriy V. Matviychuk, Andrii M. Striuk

Proceedings of the Selected and Revised Papers of 9th International Conference on Monitoring, 2021

Irreversibility of financial time series: a case of crisis.

Andrii O. Bielinskyi, Serhii V. Hushko, Andriy V. Matviychuk, Oleksandr A. Serdyuk, Serhiy O. Semerikov, Vladimir N. Soloviev

Proceedings of the Selected and Revised Papers of 9th International Conference on Monitoring, 2021

2020

Machine learning approaches for financial time series forecasting.

Vasily Derbentsev, Andriy Matviychuk, Nataliia Datsenko, Vitalii Bezkorovainyi, Albert Azaryan

Proceedings of the Selected Papers of the Special Edition of International Conference on Monitoring, 2020

2019

Fractal Analysis of the Economic Sustainability of Industrial Enterprise.

Andriy Matviychuk, Oleksandr Novoseletskyy, Serhii Vashchaiev, Halyna Velykoivanenko, Igor Zubenko

Proceedings of the Selected Papers of the 8th International Conference on Monitoring, 2019

Experimental Economics and Machine Learning for Prediction of Emergent Economy Dynamics.

Arnold Kiv, Serhiy Semerikov, Vladimir N. Soloviev, Liubov Kibalnyk, Hanna Danylchuk, Andriy Matviychuk

Proceedings of the Selected Papers of the 8th International Conference on Monitoring, 2019

Simulation of the Crisis Contagion Process Between Countries with Different Levels of Socio-Economic Development.

Andriy Matviychuk, Inna Strelchenko, Serhii Vashchaiev, Halyna Velykoivanenko

Proceedings of the 15th International Conference on ICT in Education, 2019