Pavlo Radiuk

According to our database, Pavlo Radiuk authored at least 38 papers between 2020 and 2026.

Collaborative distances:

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

2026

Equivariant Transition Matrices for Explainable Deep Learning: A Lie Group Linearization Approach.

Pavlo Radiuk, Oleksander Barmak, Leonid Bedratyuk, Iurii Krak

Mach. Learn. Knowl. Extr., 2026

2025

Method of UAV Inspection of Photovoltaic Modules Using Thermal and RGB Data Fusion.

Andrii Lysyi, Anatoliy Sachenko, Pavlo Radiuk, Mykola Lysyi, Oleksandr Melnychenko, Diana Zahorodnia

CoRR, December, 2025

YOLO Ensemble for UAV-based Multispectral Defect Detection in Wind Turbine Components.

Serhii Svystun, Pavlo Radiuk, Oleksandr Melnychenko, Oleg Savenko, Anatoliy Sachenko

CoRR, September, 2025

Unsupervised Knowledge Extraction of Distinctive Landmarks from Earth Imagery Using Deep Feature Outliers for Robust UAV Geo-Localization.

Zakhar Ostrovskyi, Oleksander Barmak, Pavlo Radiuk, Iurii Krak

Mach. Learn. Knowl. Extr., 2025

Method of adaptive knowledge distillation from multi-teacher to student deep learning models.

Oleksandr Chaban, Eduard Manziuk, Pavlo Radiuk

J. Edge Comput., 2025

AI‑Driven Traffic Signal Control System to Reduce CO2 Emissions.

Oleksander Ryzhanskyi, Vitaliy Pavlyshyn, Pavlo Radiuk, Eduard Manziuk, Oleksander Barmak, Iurii Krak

Proceedings of the Joint Proceedings of the Workshops "AI for Environmental and Social Sustainability Workshop" and "AI and Interdisciplinary Innovations for Sustainable Development" (YAISD-WS 2025) co-located with Second International Conference of Young Scientists on Artificial Intelligence for Sustainable Development (YAISD 2025), 2025

Establishing Patterns of the Urban Transport Flows on Clustering Analysis.

Vitaliy Pavlyshyn, Oleksander Ryzhanskyi, Eduard Manziuk, Pavlo Radiuk, Oleksander Barmak, Iurii Krak

Proceedings of the Joint Proceedings of the Workshops "AI for Environmental and Social Sustainability Workshop" and "AI and Interdisciplinary Innovations for Sustainable Development" (YAISD-WS 2025) co-located with Second International Conference of Young Scientists on Artificial Intelligence for Sustainable Development (YAISD 2025), 2025

Determining the criticality assessment of defects on wind turbine components detected by UAV sensors 351-362.

Serhii Svystun, Oleksandr Melnychenko, Pavlo Radiuk, Andrii Lysyi, Anatoliy Sachenko

Proceedings of the The 6th International Workshop on Intelligent Information Technologies & Systems of Information Security (IntelITSIS 2025), 2025

Feature Computation Procedure for Fake News Detection: An LLM-Based Extraction Approach 112-124.

Andrii Shupta, Pavlo Radiuk, Iurii Krak

Proceedings of the The 6th International Workshop on Intelligent Information Technologies & Systems of Information Security (IntelITSIS 2025), 2025

Verifiable by construction: Evidence-anchored LLMs for explainable fake news detection.

Andrii Shupta, Pavlo Radiuk, Miroslav Kvassay, Piotr Gaj

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

EMTKD at the edge: An adaptive multi-teacher knowledge distillation for robust cardiac MRI classification.

Oleksandr Chaban, Eduard Manziuk, Olena Markevych, Sergi Petrovskyi, Pavlo Radiuk

Proceedings of the 5th Edge Computing Workshop (doors 2025), 2025

Intelligent information system for knowledge integration into artificial intelligence models.

Oleksandr Chaban, Eduard Manziuk, Pavlo Radiuk, Elena Zaitseva, Olena Markevych

Proceedings of the The 2nd International Workshop on Advanced Applied Information Technologies: AI & DSS, 2025

2024

Intelligent Integrated System for Fruit Detection Using Multi-UAV Imaging and Deep Learning.

Oleksandr Melnychenko, Lukasz Scislo, Oleg Savenko, Anatoliy Sachenko, Pavlo Radiuk

Sensors, March, 2024

Toward explainable deep learning in healthcare through transition matrix and user-friendly features.

Oleksander Barmak, Iurii Krak, Sergiy Yakovlev, Eduard Manziuk, Pavlo Radiuk, Vladislav A. Kuznetsov

Frontiers Artif. Intell., 2024

Thermal and RGB Images Work Better Together in Wind Turbine Damage Detection.

Serhii Svystun, Oleksandr Melnychenko, Pavlo Radiuk, Oleg Savenko, Anatoliy Sachenko, Andrii Lysyi

CoRR, 2024

Integration of Contextual Descriptors in Ontology Alignment for Enrichment of Semantic Correspondence.

Eduard Manziuk, Oleksander Barmak, Pavlo Radiuk, Vladislav A. Kuznetsov, Iurii Krak, Sergiy Yakovlev

CoRR, 2024

Dynamic Trajectory Adaptation for Efficient UAV Inspections of Wind Energy Units.

Serhii Svystun, Oleksandr Melnychenko, Pavlo Radiuk, Oleg Savenko, Anatoliy Sachenko, Andrii Lysyi

CoRR, 2024

Explainable Artificial Intelligence: Transitioning DL Model Decisions to User-Understandable Features in Healthcare.

Pavlo Radiuk, Oleksander Barmak, Eduard Manziuk, Iurii Krak

Proceedings of the 4th International Workshop of IT-professionals on Artificial Intelligence, 2024

Representation of Trustworthiness Components in AI Systems: A Formalized Approach Considering Interconnections and Overlap.

Eduard Manziuk, Oleksander Barmak, Pavlo Radiuk, Vladislav A. Kuznetsov, Iurii Krak

Proceedings of the 4th International Workshop of IT-professionals on Artificial Intelligence, 2024

Multi-stage Segmentation and Cascade Classification Methods for Improving Cardiac MRI Analysis.

Vitalii Slobodzian, Pavlo Radiuk, Oleksander Barmak, Iurii Krak

Proceedings of the Selected Papers of the XI International Scientific Conference "Information Technology and Implementation" (IT&I 2024). Conference Proceedings, 2024

Explainable Deep Learning for Interpretable Brain Tumor Diagnosis from MRI Images.

Eduard Manziuk, Olexander Barmak, Iurii Krak, Nataliia Petliak, Zhenzhen Jin, Pavlo Radiuk

Proceedings of the Lecture Notes in Data Engineering, Computational Intelligence, and Decision-Making, Volume 1, 2024

Precision Slicing for Enhanced Defect Detection in High-Resolution Wind Turbine Blade Imagery.

Serhii Svystun, Oleksandr Melnychenko, Pavlo Radiuk, Oleg Savenko, Anatoliy Sachenko

Proceedings of the 1st International Workshop on Intelligent & CyberPhysical Systems (ICyberPhyS 2024), 2024

ECG Arrhythmia Classification and Interpretation using Convolutional Networks for Intelligent IoT Healthcare System.

Oleksii Kovalchuk, Olexander Barmak, Pavlo Radiuk, Iurii Krak

Proceedings of the 1st International Workshop on Intelligent & CyberPhysical Systems (ICyberPhyS 2024), 2024

Distributed intelligent system architecture for UAV-Assisted monitoring of wind energy infrastructure.

Serhii Svystun, Oleksandr Melnychenko, Pavlo Radiuk, Oleg Savenko, Andrii Lysyi

Proceedings of the 1st International Workshop on Advanced Applied Information Technologies with CEUR-WS, 2024

2023

A Novel Feature Vector for ECG Classification using Deep Learning.

Oleksii Kovalchuk, Pavlo Radiuk, Olexander Barmak, Sergi Petrovskyi, Iurii Krak

Proceedings of the 4th International Workshop on Intelligent Information Technologies & Systems of Information Security, 2023

Myocardium Segmentation using Two-Step Deep Learning with Smoothed Masks by Gaussian Blur.

Vitalii Slobodzian, Pavlo Radiuk, Anastasiia Zingailo, Olexander Barmak, Iurii Krak

Proceedings of the 6th International Conference on Informatics & Data-Driven Medicine, 2023

Robust R-peak Detection using Deep Learning based on Integrating Domain Knowledge.

Oleksii Kovalchuk, Pavlo Radiuk, Olexander Barmak, Iurii Krak

Proceedings of the 6th International Conference on Informatics & Data-Driven Medicine, 2023

Apple Detection with Occlusions Using Modified YOLOv5-v1.

Oleksandr Melnychenko, Oleg Savenko, Pavlo Radiuk

Proceedings of the 12th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2023

2022

Analysis of Deep Learning Methods in Adaptation to the Small Data Problem Solving.

Iurii Krak, Vladyslav A. Kuznetsov, Serhii Kondratiuk, Larisa E. Azarova, Olexander Barmak, Pavlo Radiuk

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

Convolutional Neural Network for Parking Slots Detection.

Pavlo Radiuk, Olga Pavlova, Houda El Bouhissi, Volodymyr Avsiyevych, Volodymyr Kovalenko

Proceedings of the 3rd International Workshop on Intelligent Information Technologies & Systems of Information Security, 2022

Method of Facial Geometric Feature Representation for Information Security Systems.

Oleg Kalyta, Iurii Krak, Olexander Barmak, Waldemar Wójcik, Pavlo Radiuk

Proceedings of the 3rd International Workshop on Intelligent Information Technologies & Systems of Information Security, 2022

Human-in-the-Loop Approach Based on MRI and ECG for Healthcare Diagnosis.

Pavlo Radiuk, Oleksii Kovalchuk, Vitalii Slobodzian, Eduard Manziuk, Oleksander Barmak, Iurii Krak

Proceedings of the 5th International Conference on Informatics & Data-Driven Medicine, Lyon, France, November 18, 2022

An Ensemble Machine Learning Approach for Twitter Sentiment Analysis.

Pavlo Radiuk, Olga Pavlova, Nadiia Hrypynska

Proceedings of the 6th International Conference on Computational Linguistics and Intelligent Systems (COLINS 2022). Volume I: Main Conference, 2022

2021

Detection of Early Pneumonia on Individual CT Scans with Dilated Convolutions.

Iurii Krak, Olexander Barmak, Pavlo Radiuk

Proceedings of the 2nd International Workshop on Intelligent Information Technologies & Systems of Information Security with CEUR-WS, 2021

2020

Applying 3D U-Net Architecture to the Task of Multi-Organ Segmentation in Computed Tomography.

Pavlo Radiuk

Appl. Comput. Syst., 2020

Heuristic Architecture Search Using Network Morphism for Chest X-Ray Classification.

Pavlo Radiuk, Hakan Kutucu

Proceedings of the 1st International Workshop on Intelligent Information Technologies & Systems of Information Security, 2020

Information Technology for Early Diagnosis of Pneumonia on Individual Radiographs.

Iurii Krak, Olexander Barmak, Pavlo Radiuk

Proceedings of the 3rd International Conference on Informatics & Data-Driven Medicine, Växjö, Sweden, November 19, 2020

A Framework for Exploring and Modelling Neural Architecture Search Methods.

Pavlo Radiuk, Nadiia Hrypynska

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