A Framework for Exploring and Modelling Neural Architecture Search Methods. - Pavlo Radiuk; Nadiia Hrypynska (COLINS, 2020)

Information Technology for Early Diagnosis of Pneumonia on Individual Radiographs. - Iurii Krak; Olexander Barmak; Pavlo Radiuk (IDDM, 2020)

Heuristic Architecture Search Using Network Morphism for Chest X-Ray Classification. - Pavlo Radiuk; Hakan Kutucu (IntelITSIS, 2020)

Applying 3D U-Net Architecture to the Task of Multi-Organ Segmentation in Computed Tomography. - Pavlo Radiuk (Appl. Comput. Syst., 2020)

Detection of Early Pneumonia on Individual CT Scans with Dilated Convolutions. - Iurii Krak; Olexander Barmak; Pavlo Radiuk (IntelITSIS, 2021)

An Ensemble Machine Learning Approach for Twitter Sentiment Analysis. - Pavlo Radiuk; Olga Pavlova; Nadiia Hrypynska (COLINS, 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 (IDDM, 2022)

Method of Facial Geometric Feature Representation for Information Security Systems. - Oleg Kalyta; Iurii Krak; Olexander Barmak; Waldemar Wójcik; Pavlo Radiuk (IntelITSIS, 2022)

Convolutional Neural Network for Parking Slots Detection. - Pavlo Radiuk; Olga Pavlova; Houda El Bouhissi; Volodymyr Avsiyevych; Volodymyr Kovalenko (IntelITSIS, 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 (ISDMCI, 2022)

Apple Detection with Occlusions Using Modified YOLOv5-v1. - Oleksandr Melnychenko; Oleg Savenko; Pavlo Radiuk (IDAACS, 2023)

Robust R-peak Detection using Deep Learning based on Integrating Domain Knowledge. - Oleksii Kovalchuk; Pavlo Radiuk; Olexander Barmak; Iurii Krak (IDDM, 2023)

Myocardium Segmentation using Two-Step Deep Learning with Smoothed Masks by Gaussian Blur. - Vitalii Slobodzian; Pavlo Radiuk; Anastasiia Zingailo; Olexander Barmak; Iurii Krak (IDDM, 2023)

A Novel Feature Vector for ECG Classification using Deep Learning. - Oleksii Kovalchuk; Pavlo Radiuk; Olexander Barmak; Sergi Petrovskyi; Iurii Krak (IntelITSIS, 2023)

Distributed intelligent system architecture for UAV-Assisted monitoring of wind energy infrastructure. - Serhii Svystun; Oleksandr Melnychenko; Pavlo Radiuk; Oleg Savenko; Andrii Lysyi (AdvAIT, 2024)

ECG Arrhythmia Classification and Interpretation using Convolutional Networks for Intelligent IoT Healthcare System. - Oleksii Kovalchuk; Olexander Barmak; Pavlo Radiuk; Iurii Krak (ICyberPhyS, 2024)

Precision Slicing for Enhanced Defect Detection in High-Resolution Wind Turbine Blade Imagery. - Serhii Svystun; Oleksandr Melnychenko; Pavlo Radiuk; Oleg Savenko; Anatoliy Sachenko (ICyberPhyS, 2024)

Explainable Deep Learning for Interpretable Brain Tumor Diagnosis from MRI Images. - Eduard Manziuk; Olexander Barmak; Iurii Krak; Nataliia Petliak; Zhenzhen Jin; Pavlo Radiuk (ISDMCI (1), 2024)

Multi-stage Segmentation and Cascade Classification Methods for Improving Cardiac MRI Analysis. - Vitalii Slobodzian; Pavlo Radiuk; Oleksander Barmak; Iurii Krak (IT&I, 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 (ProfIT AI, 2024)

Explainable Artificial Intelligence: Transitioning DL Model Decisions to User-Understandable Features in Healthcare. - Pavlo Radiuk; Oleksander Barmak; Eduard Manziuk; Iurii Krak (ProfIT AI, 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)

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)

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)

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)

Intelligent Integrated System for Fruit Detection Using Multi-UAV Imaging and Deep Learning. - Oleksandr Melnychenko; Lukasz Scislo; Oleg Savenko; Anatoliy Sachenko; Pavlo Radiuk (Sensors, 2024)

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 (doors, 2025)

Feature Computation Procedure for Fake News Detection: An LLM-Based Extraction Approach 112-124. - Andrii Shupta; Pavlo Radiuk; Iurii Krak (IntelITSIS, 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 (IntelITSIS, 2025)