Generative Adversarial Neural Networks and Deep Learning: Successful Cases and Advanced Approaches. - Oleksandr Striuk; Yuriy P. Kondratenko (Int. J. Comput., 2021)

Analysis of the Priorities and Perspectives in Artificial Intelligence Implementation. - Yuriy P. Kondratenko; Anatolii Shevchenko; Yuriy D. Zhukov; Vadym Slyusar; Galyna V. Kondratenko; Mykyta S. Klymenko; Oleksandr Striuk (DESSERT, 2023)

Cross-Domain Reconfigurable GAN with Fuzzy Components for Anomaly Detection. - Oleksandr Striuk; Yuriy P. Kondratenko (DESSERT, 2023)

Tendencies and Challenges of Artificial Intelligence Development and Implementation. - Yuriy P. Kondratenko; Anatoliy Shevchenko; Yuriy D. Zhukov; Galyna V. Kondratenko; Oleksandr Striuk (IDAACS, 2023)

Optimization Strategy for Generative Adversarial Networks Design. - Oleksandr Striuk; Yuriy P. Kondratenko (Int. J. Comput., 2023)

Implementation of Generative Adversarial Networks in Mobile Applications for Image Data Enhancement. - Oleksandr Striuk; Yuriy P. Kondratenko (J. Mobile Multimedia, 2023)

Gradient-Penalty GAN Framework for High-Fidelity Fingerprint Synthesis. - Oleksandr Striuk; Yuriy P. Kondratenko (CMIS, 2025)