Dmytro Uhryn

According to our database, Dmytro Uhryn authored at least 16 papers between 2020 and 2025.

Collaborative distances:

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

2025

Methods for integrating large language models into requirements management in agile methodologies.

Oleh Zaiats, Dmytro Mykhalyk, Vasyl Yatsyshyn, Oleh Pastukh, Dmytro Uhryn

Proceedings of the 5th International Conference on Information Technologies: Theoretical and Applied Problems 2025, 2025

CNNs are explainable domain-specific visual embedders.

Zakhar Ostrovsky, Andrii Biloshchytskyi, Dmytro Uhryn

Proceedings of the 1st Workshop on Advanced AI in Explainability and Ethics for the Sustainable Development Goals (ExplAI-2025), 2025

A method for detecting intestinal thrombosis based on a hybrid approach using grey wolf optimization and a genetic algorithm.

Lyubomyr Chyrun, Dmytro Uhryn, Yuriy Ushenko, Oleksii Iliuk, Yuriy Masikevych

Proceedings of the 1st Workshop on Advanced AI in Explainability and Ethics for the Sustainable Development Goals (ExplAI-2025), 2025

Multi-parameter hemodynamic monitoring via machine learning: a data-driven framework for cardiovascular physiology.

Oleksandr Bryk, Oleh Pastukh, Yuriy Ushenko, Dmytro Uhryn, Ihor Maykiv

Proceedings of the 3rd International Workshop on Computer Information Technologies in Industry 4.0 (CITI 2025), 2025

Neural network-driven hybrid algorithm generation of integrating grey wolf, bee, ant, genetic, and bat metaheuristics.

Victoria Vysotska, Dmytro Uhryn, Oleksii Iliuk, Yuriy Ushenko, Vasyl Yatsyshyn

Proceedings of the Computational Intelligence Application Workshop (CIAW 2025), 2025

Detection of intestinal thrombosis using a hybrid method based on genetic algorithm and grey wolf optimisation.

Lyubomyr Chyrun, Dmytro Uhryn, Yuriy Ushenko, Oleksii Iliuk, Yuriy Masikevych

Proceedings of the Computational Intelligence Application Workshop (CIAW 2025), 2025

Information system for collaborationists messages and accounts classification in social networks.

Victoria Vysotska, Viktoriia Yakovlieva, Roman Romanchuk, Lyubomyr Chyrun, Dmytro Uhryn, Vitalii Danylyk, Oksana Brodyak, Ainur Orazayeva, Vadim Schuchmann

Proceedings of the International Scientific Workshop on Applied Information Technologies and Artificial Intelligence Systems, 2025

Multilingual analysis for Instagram comments sentiment using transformer models and automatic parsing.

Victoria Vysotska, Andrian Hyriak, Lyubomyr Chyrun, Rostyslav Fedchuk, Oleksandr Lavrut, Dmytro Uhryn, Liubov Kolyasa, Saule Smailova, Mariia Brygadyr

Proceedings of the International Scientific Workshop on Applied Information Technologies and Artificial Intelligence Systems, 2025

Method for implementing a complex modular system for analyzing information sources.

Zhengbing Hu, Dmytro Uhryn, Artem Kalancha, Viktor Ivashko, Viktor Ilin

Proceedings of the International Scientific Workshop on Applied Information Technologies and Artificial Intelligence Systems, 2025

Application of machine learning for predicting fraudulent anomalies in financial transactions.

Victoria Vysotska, Dmytro Uhryn, Oleksii Iliuk, Yuriy Ushenko, Vasyl Yatsyshyn

Proceedings of the International Workshop on Applied Intelligent Security Systems in Law Enforcement (AISSLE-2025), 2025

Parameterization and evaluation of the timed semantic influence algorithm efficiency based on the deviation of similarity matrices.

Lyubomyr Chyrun, Dmytro Uhryn, Yuriy Ushenko, Artem Kalancha, Oleh Pastukh

Proceedings of the International Workshop on Applied Intelligent Security Systems in Law Enforcement (AISSLE-2025), 2025

Analysis of the Interaction of Channels Based on Text Content and Time Dimension.

Artem Kalancha, Dmytro Uhryn

Proceedings of the 15th International Conference on Advanced Computer Information Technologies, 2025

2021

Method of Selecting and Determining the Free Parameters of Swarm Intelligent Algorithms for Optimizing Solutions in GIS.

Dmytro Uhryn, Vasyl Lytvyn, Taras Lendiuk

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

2020

Tourist Itineraries Plan Design Based on the Behavior of Bee Colonies.

Dmytro Uhryn, Oleh Naum, Nataliya Antonyuk, Ivan Dyyak, Liliya Chyrun, Andriy Demchuk, Victoria Vysotska, Zoriana Rybchak, Taras Batiuk

Proceedings of the 2nd International Workshop on Modern Machine Learning Technologies and Data Science (MoMLeT+DS 2020). Volume I: Main Conference, 2020

Service-Oriented Architecture Development as an Integrating Platform in the Tourist Area.

Dmytro Uhryn, Vasyl Andrunyk, Lyubomyr Chyrun, Nataliya Antonyuk, Ivan Dyyak, Oleh Naum

Proceedings of the 2nd International Workshop on Modern Machine Learning Technologies and Data Science (MoMLeT+DS 2020). Volume I: Main Conference, 2020

Analysis and Estimation of Popular Places in Online Tourism Based on Machine Learning Technology.

Yurii Tverdokhlib, Vasyl Andrunyk, Liliya Chyrun, Lyubomyr Chyrun, Nataliya Antonyuk, Ivan Dyyak, Oleh Naum, Dmytro Uhryn, Vitor Basto-Fernandes

Proceedings of the 2nd International Workshop on Modern Machine Learning Technologies and Data Science (MoMLeT+DS 2020). Volume I: Main Conference, 2020